Draft_intersection_analysisV7_20081220_optimize

Analysis of High Crash
Locations that Contain
Intersections
Years 2005-2006
A Resource for Identification of Locations of
Future Highway Safety Improvements
In Metropolitan Chicago
Draft
December, 2008
CMAP Congestion Management Process
Author: Parry Frank
High Crash Locations with Intersections, Metropolitan Chicago, 2005-2006

Table of Contents
Introduction............................................................................................................................................4
Data....................................................................................................................................................... 4
Data Sources and Definitions........................................................................................................ 4
Crash Frequencies in Northeastern Illinois (2005-2006)...................................................................... 5
Intersection Crashes............................................................................................................................ 11
Methodology............................................................................................................................... 11
Intersection Crash Analysis ........................................................................................................ 13
Intersection Selection.................................................................................................................. 18
Intersection Lists Based on Crash Type and Ranking of Crash Totals....................................... 20
Detailed Information for Crash Types........................................................................................ 23
Discussion of data sheets ............................................................................................................ 28
Crashes by Direction of Travel................................................................................................... 28
Regional Average All Intersections............................................................................................ 29
Data Definitions.......................................................................................................................... 29
Intersection Crash Analyses................................................................................................................ 32
SUBSTANCE OF REPORT, ANALYSES OF INDIVIDUAL INTERSECTIONS, BEGINS ON P. 94.
Note: This document is designed to be used in pdf format, not printed.

List of Figures
Figure 1. Crash Frequencies for the Northeastern Illinois Region (2005-2006)
by Collision Type...................................................................................................................... 5
Figure 2. Share of Crashes by Collision Type for All Crashes in the Northeastern
Illinois Region (2005-2006)...................................................................................................... 6
Figure 3. Crash Frequencies for Serious Crashes in the Northeastern Illinois
Region (2005-2006) by Collision Type.................................................................................... 7
Figure 4. Collision Type Share of Serious Crashes and All Crashes in Northeastern
Illinois (2005-2006) .................................................................................................................. 8
Figure 5. The Share of Crashes that Result in Serious injuries or Fatalities in
Northeastern Illinois (2005-2006)............................................................................................. 9
Figure 6. Share of Fatal Crashes and All Crashes by Collision Type in
Northeastern Illinois (2005-2006)........................................................................................... 10
Figure 7. The Share of All Regional Crashes that Result in a Fatality for each
Collision Type in Northeastern Illinois (2005-2006).............................................................. 11
Figure 8. Collision Type Distribution for Intersection and Non-Intersection
Crashes in Northeastern Illinois (2005-2006)......................................................................... 14
Figure 9. Distribution of all Regional Serious Crashes by Percentage of Crashes
for Intersection and Non-Intersection Areas........................................................................... 15
Figure 10. Collision Type’s Share of All Crashes that Occur Near Intersection
Areas by Crash Severity.......................................................................................................... 16
Figure 11. Collision Type’s Share of All Crashes at Non-Intersection Areas by
Crash Severity......................................................................................................................... 17
Figure 12. Crash Type Distribution for Crashes Coded as Intersection Compared
to Crashes within 250 Feet of the Intersection........................................................................ 18
Figure 13. The Distribution of Late-Night Intersection Crashes by Type
and Severity ............................................................................................................................ 23
Figure 14. Young Driver’s and Elderly Driver's Share of Crashes by Severity and
Time Period............................................................................................................................. 24
Additional figures depicting crashes for each of 472 intersections begin on p. 94.
Note: This document is designed to be used in pdf format, not printed.

INTRODUCTION
This report examines motor vehicle crashes associated with intersections on the roadway
system in northeastern Illinois for the period of 2005 through 2006. The goal of the report
is to identify intersections that have high crash frequencies or high crash rates for specific
types of crashes. Determining where specific types of collisions occur will allow safety
funds to be invested where they may be of the highest benefit.
The report consists of a general discussion of the crash frequencies of various collision
types for the region and near intersections, tables that list the intersections with the highest
frequencies of the crash categories and datasheets that provide detailed information for
each intersection in the report.
The tables examine 23 types of crashes, 9 categories of crashes based on the movements
of the vehicles involved in the crash, and 8 additional tables that rank intersections based
on the total number of crashes and the severity of the crashes.
The datasheets for each intersection provide the location, crash totals and the rank for
each type of crash. The datasheet also includes an aerial photo of the intersection that lists
the number of crashes by direction of travel and the orientation of the other vehicle for
crashes involving two vehicles.
DATA
The crash data for this report was provided by the Illinois Department of Transportation,
which compiles information from individual police reports from around the state. Data on
crashes, injuries and fatalities are for the years 2005 and 2006. This data is the first crash
data for Illinois that provides geocoded location data for the crashes. Having location data
allows specific intersections to be analyzed and locations of high frequencies of specific
types of crashes to be identified. CMAP is responsible for all of the analysis and the
underlying assumptions that have been made.
Data Sources and Definitions
• A crash (or collision) occurs when a vehicle collides with something else. Two
vehicles colliding counts as one collision.
• Crashes are categorized by the highest level of injury that results from the collision.
There are five types of crash severity: fatal crashes, crashes with incapacitating
injuries (A injuries), crashes with non-incapacitating injuries, crashes with reported
but not evident injuries, and property damage only (PDO) crashes.
• A fatality is recognized if it occurs within 30 days of the crash.
• A serious crash is a crash that resulted in a fatality or incapacitating injury (A Injury)
• Northeastern Illinois is comprised of the counties of Cook, DuPage, Kane, Kendall,
Lake, McHenry and Will.
• This is the first attempt to evaluate the geocoded crashes and many assumptions
have been made in order to produce this report.
4

CRASH FREQUENCIES IN NORTHEASTERN ILLINOIS (2005-2006)
The northeastern Illinois region is comprised of Cook, DuPage, Kane, Kendall, Lake,
McHenry and Will counties. The region has over 8 million residents, around 5 ½ million
registered vehicles, and generates nearly 59 billion vehicle miles of travel annually on a
road network over 24,000 miles in length. The region has one of the most extensive transit
systems in the nation, which provides over 550 million rides annually. The region is also the
country’s rail hub with over 1,100 freight trains daily. Much of the travel in the region is
completed under highly congested conditions.
The region’s high population density, urban structure and intricate transportation network
lead to challenging driving conditions. There were 297,322 crashes in 2005 and 288,737
crashes in 2006. In total, there were 586,059 crashes over the two year period, of which
105,689 (18%) had some type of injury; 16,143 (2.75%) had an incapacitating injury; and
1,131(0.19%) resulted in a fatality.
The nature of travel and the built infrastructure in the region causes some types of crashes
to occur more frequently than others. In addition, some types of crashes cause more
serious injuries than other types of crashes. Figure 1 shows the distribution of crashes in
the region.
Figure 1. Crash Frequencies for the Northeastern Illinois Region (2005-2006) by
Collision Type
0 20,000 40,000 60,000 80,000 100,000 120,000 140,000 160,000 180,000 200,000
Other
Overturned
Turning
SSSD
SSOD
Rear-end
Railroad Train
Pedestrian
Pedalcyclist
Parked
Head on
Fixed object
Animal
Angle
Total Crashes
SSSD = Sideswipe Same Direction; SSOD = Sideswipe Opposite Direction ; Parked = Parked Motor Vehicle; Overturned= Vehicle Overturned
5

Crashes are mainly categorized by what the driver collided with, or the action that the driver
was taking when the collision occurred. While a crash may include a sequence of events
and have many factors, it is generally categorized under a single major event. In Illinois
crashes are categorized by thirteen specific types of collisions.
Angle
Animal
Fixed Object
Head-On
Parked Motor Vehicle
Pedalcyclist
Pedestrian
Railroad Train
Rear End
Sideswipe Opposite Direction (SSOD)
Sideswipe Same Direction (SSSD)
Turning
Vehicle Overturned
The most frequent crash type in the region is rear-end collisions and the second most
frequent is turning crashes (Figure 2). These two types of crashes account for over 50
percent of all crashes. Crashes involving sideswipe same direction, parked vehicles, or
angle collisions represent an additional 34.4% of the crashes.
Figure 2. Share of Crashes by Collision Type for All Crashes in the Northeastern Illinois
Region (2005-2006)
0%
5%
10%
15%
20%
25%
30%
35%
Other
Overturned
Turning
SSSD
SSOD
Rear-end
Railroad
Train
Pedestrian
Pedalcyclist
Parked
Headon
Fixedobject
Animal
Angle
SSSD = Sideswipe Same Direction; SSOD = Sideswipe Opposite Direction ; Parked= Parked Motor Vehicle; Overturned= Vehicle Overturned
6

Crashes involving fatalities or incapacitating injuries are categorized as “serious crashes” in
this report. The distribution of serious crashes among the collision types is shown in Figure
3. The share of serious crashes for each crash type is much different than the distribution
for all crashes. Rear-end and turning crashes are still the most prevalent serious crash
types, but these only combine for 39% of the serious crashes. The crashes involving
sideswipe same direction, parked vehicles, or angle collisions only account for 22% of the
serious crashes, as opposed to 34.4% of all crashes. The remaining crashes represent
15% of the total number of crashes, but these account for 39% of all serious injury crashes.
Figure 3. Crash Frequencies for Serious1 Crashes in the Northeastern Illinois Region
(2005-2006) by Collision Type
0 500 1000 1500 2000 2500 3000 3500 4000
Other
Overturned
Turning
SSSD
SSOD
Rear-end
Railroad Train
Pedestrian
Pedalcyclist
Parked
Head on
Fixed object
Animal
Angle
Number of Serious Crashes
The type of crash that is targeted for reduction depends on how the goals for safety
enhancement are defined. Some goals may target overall crash reduction while other
goals may strive to reduce the most serious types of crashes. In order to achieve a goal, it
is important to understand the relationships between crash types and the frequencies of
injuries and fatalities.
The type of collision is closely related to the likelihood that a serious injury occurs. In
Figure 4 the share of serious crashes for each collision type is graphed along side the
collisions type’s share of all crashes in general. Rear-end collisions have the highest
frequency of serious crashes, but not nearly in proportion to the rear-end-crash share of all
crashes. Turning crashes tend to be more serious. Compared to rear-end crashes, there
are nearly the same number of serious injury crashes that involve turning vehicles, but
there were 75% more crashes defined as rear-end crashes compared to turning crashes.
1
For this analysis, serious crashes are defined to crashes with fatalities or incapacitating injuries (“A-Injuries”)
7

Crashes categorized as angle, fixed object, head-on, pedalcyclist, pedestrian, railroad train,
sideswipe opposite direction, turning and vehicle overturned all had higher shares of
serious crashes compared to their shares of all crashes. Of these crash types,
pedalcyclist, pedestrian, and vehicle overturned had the highest proportional increases in
the share of crashes when serious crashes were compared to all of the crashes. Crashes
categorized as sideswipe same direction, parked motor vehicle or rear-end all have much
smaller shares of serious crashes compared to their shares of all crash severities.
Figure 4. Collision Type Share of Serious Crashes and All Crashes in Northeastern
Illinois (2005-2006)
0% 5% 10% 15% 20% 25% 30% 35%
Other
Overturned
Turning
SSSD
SSOD
Rear End
Railroad Train
Pedestrian
Pedalcyclist
Parked
Head-On
Fixed Object
Animal
Angle
All Crashes
Serious Crashes
Examination of the percentage of collisions that result in serious injuries leads to some
interesting findings. Traffic crashes that involve pedestrians are the most likely to cause a
serious injury. It is shown in Figure 5 that nearly 22% of pedestrian crashes have a serious
injury. Crashes that involve trains and motor vehicles lead to a serious injury in 19% of the
collisions. Head-on crashes, pedalcyclist crashes and crashes where the vehicle
overturned all result in serious injuries for about one in seven crashes. Rear-end crashes,
sideswipe traveling in the same direction crashes, and crashes involving parked vehicles
are the least likely to have a serious injury.
8

Figure 5. The Share of Crashes that Result in Serious injuries or Fatalities in
Northeastern Illinois (2005-2006)
0%
5%
10%
15%
20%
25%
Angle
Anim
alFixed
O
bject
H
ead-O
n
Parked
Pedalcyclist
PedestrianR
ailroad
Train
R
earEnd
SSO
D
SSSD
Turning
O
verturned
O
ther
Vehicles that collide with fixed objects are the category of crashes that cause the largest
number of fatal crashes. The second leading category of fatal crashes in the northeastern
Illinois region are pedestrian crashes. Together, these two crash types represent nearly
one-half of the fatal crashes. Turning, angle, head-on and rear-end crashes each have
similar numbers of fatal crashes and together account for a total of 37% of the fatal
crashes. Over the two years of this analysis there were 9 fatal traffic crashes involving
trains. Over this same time frame there were 19 fatal crashes that involved parked cars.
9

Figure 6. Share of Fatal Crashes and All Crashes by Collision Type in Northeastern
0% 5% 10% 15% 20% 25% 30% 35%
Other
Overturned
Turning
SSSD
SSOD
Rear End
Railroad Train
Pedestrian
Pedalcyclist
Parked
Head-On
Fixed Object
Animal
Angle
All Crashes
Fatal Crashes
The category of crashes that result in a fatality the most frequently are the crashes
involving a motor vehicle and a train. Over 8% of train crashes result in fatalities. The
percentage of crashes that lead to a fatality are shown in Figure 7, this chart reveals that
the rate for train crashes is three times higher than the next highest rate, head-on crashes.
Head-on crashes, pedestrian crashes and crashes involving over-turned vehicles have
similar fatality rates and are all dangerous types of crashes. The crashes that involve fixed
objects or pedalcyclist result in a fatality for about 1 in 140 crashes and 1 in 170 crashes
respectively. In general terms, angle crashes have a fatality once in 600 crashes, turning
crashes result in a fatality once in 900 crashes and crashes with parked vehicles have a
fatality once in every 4000 crashes.
10

Figure 7. The Share of All Regional Crashes that Result in a Fatality for each Collision
Type in Northeastern Illinois (2005-2006)
0%
1%
2%
3%
4%
5%
6%
7%
8%
9%
Angle
Anim
alFixed
O
bject
H
ead-O
n
Parked
Pedalcyclist
PedestrianR
ailroad
Train
R
earEnd
SSO
D
SSSD
Turning
O
verturned
O
ther
INTERSECTION CRASHES
The crash frequencies for the northeastern Illinois region that have been discussed so far
provide general tendencies for crashes, and the frequency that a crash type results in an
injury or fatality. The crashes that occurred near intersections in the region are a unique
subset of these collisions and are the main focus of this report. The frequencies of crashes
and the likelihood of serious injuries are different for areas near intersections compared to
the remainder of the region. Furthermore, the crash tendencies for specific intersections
vary greatly. The following sections detail the data and analysis used in the intersection
report and provides trends for intersection crashes and the crash frequencies for specific
intersections.
Methodology
The goal of this analysis was to determine how crash types vary in the areas surrounding
intersections and to identify and describe individual locations that have high crash rates or
crash totals for specific types of crashes.
The initial task for the analysis was to determine if a crash was related to an intersection.
The crashes were geocoded by IDOT, based on various police reports and the MCR
systems. In the northeastern Illinois region there were a total of 297,322 crashes in 2005
and 288,737 crashes in 2006. Of these crashes, crashes specifically coded as “intersection
related” crashes in the crash report, totaled 126,362 crashes in 2005 and 118,860 crashes
in 2006 (Table 1). In total, there were 245,222 defined as intersection related crashes in the
northeastern Illinois region (42% of the crashes).
11

Table 1. Illinois Motor Vehicle Crashes 2005-2006 that are Defined as Intersection
Crashes in the Crash Reports
D efined as Intersection Related 20 05 2006 T otal
Intersection R elated 126,362 118 ,860 2 45,22 2
N ot Intersection Related 170,960 169 ,877 3 40,83 7
T otal Northeastern Illinois 297,322 288 ,737 5 86,05 9
For this analysis, any crash that took place within 250 feet of an intersection was also
considered intersection related. To determine if a crash was within 250 feet of an
intersection, the intersection and crash locations were brought into a GIS system and the
distances between them were measured. The intersection file was created using an
automated process2
and contains 146,037 potential intersections.
Crashes were assigned to the nearest intersection. Following convention, crashes more
than 250 feet from an intersection were dropped from the analysis. Crashes coded as
expressway in the crash report were also dropped from the analysis
Of the crashes that were initially coded as intersection related, 6,375 were not within 250
feet of an identified intersection and were dropped from the analysis. In total there were
446,881 crashes assigned to intersections in the region (Table 2). This represents 76% of
all crashes in northeastern Illinois.
Table 2. Illinois Motor Vehicle Crashes 2005-2006 that are Defined as Intersection
Crashes Because they are Within 250 Feet of an Intersection
W ithin 250 Ft of Intersection 2 005/2006 Share of Crashes
Intersection Z one 446,881 76%
N ot in Intersec tion Zone 139,178 24%
T otal Northeastern Illinois 586,059
There were 68,675 intersections with crashes. Of these intersections 36.6% had 1 crash,
16.5% had 2 crashes and 9.53 % had 3 crashes. In total 73.4 % of the intersections with
crashes had 5 or fewer crashes (50,451)
The area covered by the 250 foot buffers around the intersections includes 62% of the non
expressway center-line road miles in the region (based on Navteq data). This is not the
same as VMT since there is no traffic volume information for all of the roads therefore crash
rates can not be generated based on vehicle miles of travel.
Data limitations: The geocoded crash location data are not specifically coded to a road but
rather to a specific point. The point is then associated with a road segment from a different
GIS file. If a crash is located near a position where an overpass exists, it is not possible to
determine which road the crash occurred on. As a result of this, crashes may be assigned
to the incorrect road segment.
2
It is assumed that the process for generating intersections has missed some actual intersections and has created some
artificial intersections.
12

Crashes defined in the crash reports as intersection crashes were coded to the center of
the intersection, not to the exact part of the intersection that the crash may have taken
place. Crashes not defined in the crash reports as intersection crashes, were coded a
distance from the intersection that reflected the information in the police reports, but the
crashes were coded to the centerline of the road. As a result, neither the side of the road
or the lane where the crash occurred can be determined from the geocoded data.
The definition of an intersection related crash for this report is a crash that took place within
250 feet of an intersection. Consecutive intersections would need to be at least 500 feet
apart for them to have unique crash zones. There are many areas in the region where
consecutive intersections are closer than 500 feet to each other. In these instances the
crashes were assigned to the nearest intersection, but comparison of these intersections to
isolated intersections is somewhat unequal due to a smaller area of crashes that are
assigned to these closely packed intersections. Additionally these closely packed
intersections are more likely to have impacts on each other that are less frequent where
intersections are spaced far apart.
There were 2 road files used in this analysis, NAVTEQ3
and IRIS4
. These files depict the
same geographic area, but the line segments, information and the roads included, are not
equivalent to each other. The NAVTEQ data has a much greater coverage of the roads in
the region, but the roads segment lack important information such as traffic volumes (which
are necessary to calculate rates). The line segments from the two road files were not
always in the same exact location. In the processing of the data, crashes were geocoded
to either the IRIS or Navteq file depending on the circumstances. It is not known which
road file the crashes were coded to, so some crashes may have been assigned to the
incorrect intersection during the processing of data for this report.
The crash reports are completed by numerous people that have varied understanding of
what each field describes. The data is fairly accurate but it is not perfect.
Intersection Crash Analysis
The distribution of crash types are not the same for the areas surrounding intersections and
the area outside of the intersections. Understanding the different trends for intersection
and non-intersection crashes may help to mitigate the crashes.
In Figure 8 the percentage of crashes for the two groups by collision type (intersection and
non-intersection crashes each total 100%) is graphed. Rear-end crashes are the most
frequent type of crash for both locations. Intersection areas have a very high rate of
turning and angle crashes compared to non-intersection locations, as would be expected.
Non-intersection crashes have a higher proportion of fixed object crashes and crashes with
sideswipe in the same direction. Pedestrian and pedalcyclist crashes have a higher share
of crashes near intersections whereas crashes with over-turned vehicles form a larger
share of the crashes away form intersections.
3
NAVETQ corporation‘s street file GIS data.
4
Illinois Roadway Information System (IRIS).
13

Figure 8. Collision Type Distribution for Intersection and Non-Intersection Crashes in
0%
5%
10%
15%
20%
25%
30%
35%
40% Pedestrian
Pedalcyclist
Train
Animal
Overturned
FixedObject
Parked
Turning
Rear-end
SSSD
SSOD
Head-on
Angle
Other
Intersection
Non Intersection
SSSD = Sideswipe Same Direction; SSOD = Sideswipe Opposite Direction ; Parked = Parked Motor Vehicle; Overturned= Vehicle
A look at the distribution of serious crashes for the intersection and non-intersection areas
reveals that there is a great deal of variation between these two crash location categories.
In Figure 9 the share of crashes for each crash type is shown for intersection and non-
intersection areas. For all serious injury crashes, 77% are located within 250 feet of
intersections, but only turning, angle, pedestrian, pedalcyclist and parked vehicle crashes
have as many as 77% of the crashes. Fixed object, head-on, and sideswipe serious
crashes all have lower than average shares of crashes near the intersections.
14

Figure 9. Distribution of all Regional Serious Crashes by Percentage of Crashes for
Intersection and Non-Intersection Areas
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Other
Overturned
Turning
SSSD
SSOD
Rear End
Railroad Train
Pedestrian
Pedalcyclist
Parked
Head-On
Fixed Object
Animal
Angle
Share of Each Crash Category
Intersection
Non-Intersection
Intersection areas
account for 77% of all
serious crashes
In Figure 10 the distribution of all regional crashes is graphed by severity of the crash.
These are further stratified by location (in an intersection area or away from intersections)
(see Figure 11). For each level of crash, the severity level totals 100% when all of the
crash types are summed in Figure 10 and Figure 11 (i.e. sum all fatal crashes for all crash
types in both charts = 100%). In the region, 77% of all crashes and also the serious
crashes occur within 250 feet of an intersection. In contrast, only 61% of the fatal crashes
take place in within 250 feet of an intersection.
Considering rear-end crashes, it can be seen that near intersections, these types of
collisions have the highest share of crashes, but relatively lesser shares of serious, and
even a smaller share of the fatal crashes. By comparison to the non-intersection areas,
(Figure 11), the rear-end crashes are responsible for more total fatal crashes even though
there are roughly only one-third as many crashes. Rear-end crashes are only the fifth
highest in fatal crashes near intersections while in the areas away from intersections they
cause the second most fatal crashes.
15

Figure 10. Collision Type’s Share of All Crashes that Occur Near Intersection Areas by
Crash Severity
0%
5%
10%
15%
20%
25%
Other
Overturned
Turning
SSSD
SSOD
RearEnd
RailroadTrain
Pedestrian
Pedalcyclist
Parked
Head-On
FixedObject
Animal
Angle
Fatal Intersection Crashes
Serious Intersection Crashes
All Intersection Crashes
If there is a crash, crashes involving overturned vehicles, and sideswipes in either direction,
are relatively more likely to cause a fatality away from intersection areas than near them.
Crashes involving turning vehicles have greater numbers near intersections but away from
the intersection areas they are more likely to result in a fatal crash. This relationship is also
true for angle crashes.
Pedalcyclist seem to be much more likely to suffer a serious injury near an intersection and
less likely to have a fatality if there is a crash. Pedestrians near intersections and away
from them seem to have the same pattern of relatively few crashes, but increasing shares
of crashes as the severity of the crash increases.
The main observations to be made from this section is that crashes near intersections are a
unique subset of all crashes in general and that, depending on the specific characteristics
of an intersection, a category of crashes may be more or less likely to lead to a serious
injury or fatality.
16

Figure 11. Collision Type’s Share of All Crashes at Non-Intersection Areas by Crash
Severity
0%
5%
10%
15%
20%
25%
Other
Overturned
Turning
SSSD
SSOD
RearEnd
RailroadTrain
Pedestrian
Pedalcyclist
Parked
Head-On
FixedObject
Animal
Angle
Fatal Non-Intersection Crashes
Serious Non-Intersection Crashes
All Non-Intersection Crashes
SSSD = Sideswipe Same Direction; SSOD = Sideswipe Opposite Direction ; Parked = Parked Motor Vehicle; Overturned= Vehicle
Within the crashes that are in the area of intersection there is also variation of collision
types and severity depending on the crashes’ proximity to the intersection. The following
chart divides the crashes that are within 250 feet of intersections into crashes that have
been designated intersection crashes in the crash reports and those that have been
selected because they are located within 250 feet of the intersection. They are analyzed
separately because they might represent slightly different crash tendencies. The crashes
designated as intersection are more likely to have angle or turning crashes. The crashes
that were not designated as intersection crashes in the reports are probably more likely to
be a short distance from the intersection. As shown in Figure 12, these crashes are more
often involved in crashes with parked vehicles and sideswipe crashes in the opposite or
same direction.
17

Figure 12. Crash Type Distribution for Crashes Coded as Intersection Compared to
Crashes within 250 Feet of the Intersection
0
20,000
40,000
60,000
80,000
100,000
120,000
140,000
160,000
PedestrianPedalcyclist
Train
Anim
alO
verturnedFixed
O
bject
Parked
Turning
Rear-end
SSSD
SSO
D
Head-on
Angle
O
ther
Intersection Related Crash Report
Within 250 Feet
Intersection Selection
The focus of this analysis is to determine which intersections had the highest crash rate for
specific types of collisions. Safety enhancements are often designed to reduce specific
types of crashes. Selection of intersections for this analysis, which have the highest
frequency of specific crash types, is intended to assist in the effort to efficiently invest
safety funds.
There are well over one-hundred thousand intersections in the region. Since there are too
many for them all to be examined individually, a subset consisting of 472 of the
intersections has been selected to include in this report. Each of the selected intersections
had an unusually high number of crashes in one of the crash categories.
For this analysis intersections were selected that have the highest totals of either serious
crashes or total crashes for different categories of collisions. Intersections were selected
based on 24 categories of crashes in addition to 5 levels of crash severity. Selection of
intersections was based on the following criteria.
18

1. For each collision category, intersections that ranked5
in the highest 10 for the total
number of serious crashes were selected. Serious crashes are defined to be either
fatal crashes or incapacitating injury crashes (A Injuries). For selection based on
severe crashes, fatal crashes and incapacitating injury crashes were each given the
same weight.
2. For each collision category, intersections that ranked in the highest 20 for the total
number crashes were selected. There also must have been at least 3 crashes6
in
the category for the intersection to be selected. All crash severities were given equal
weight.
3. Intersections were excluded if there were less than 2 serious injury or fatal crashes
and fewer than 10 total crashes.
4. Intersections were included if they were in the highest 10 for either total fatal
crashes or total incapacitating injury crashes.
5. Intersections that scored above 45 for a weighted formula were retained ( (20 x fatal
crashes) + (10 x incapacitating injury crashes) + (3 x non-incapacitating injury
crashes))
The following are the categories of crashes that were used to select the intersections.
Angle Crashes
Crashes Involving Animals
Crashes Involving Excess Speed
Crashes Involving Older Drivers (65 - 90 years of age)
Crashes Involving Younger Drivers (16 - 22 years of age)
Crashes Involving Parked Vehicles
Crashes Involving Rain
Crashes Involving Turning Vehicles
Crashes Involving Vehicles that Failed to Yield
Driver Disregarded Control Device
Fixed Object Crashes
Late Night Crashes (10:00 PM to 5:00 AM)
Overturned Vehicle Crashes
Rear-end Crashes
Head-On Crashes
Right Turn On Red Crashes
Sideswipe Opposite-Direction Crashes
Sideswipe Same-Direction Crashes
Vehicle/Pedalcyclist Crashes
Vehicle/Pedestrian Crashes
Vehicle/Train Crashes
Vehicles Traveling in the Wrong Direction
Crashes with Vision Blocked by Trees
Crashes with Vision Blocked by Hillcrest
Intersections were also selected based on total crashes, total serious crashes, total fatal crashes,
total incapacitating injuries, crash rates per traffic volumes, and serious injury crash rates per traffic
volumes.
5
When intersection tie the rank is the higher value (25 instead of 20)
6
Train crashes only needed 1 crash to be included.
19

Intersection Lists Based on Crash Type and Ranking of Crash Totals
There are various ways to quantify the costs involved with traffic crashes or to compare the
danger associated with intersections throughout the northeastern Illinois region. This report
uses four methods to compare intersections that have unusually high risk. These methods
include summing total crashes and serious crashes and also calculating Severity Indices
(SI) which are based on the severity of the crashes at the intersections.
The intersections were organized into lists for each category of crash in the analysis. The
list ranked the intersections by the relevant category. The list provides information on the
number of crashes, the rank for the number of crashes, the rate of crashes per 100,000
vehicles that enter the intersection. This same information is also provided for only the
serious crashes (fatal crashes or crashes with an incapacitating injury).
Additionally, the list provides information for two severity indices (SI). A severity index is a
weighted value that gives some indication about the level of crashes at an intersection.
One of the SI includes crashes that are property damage only (PDO) and possible (not
evident) injuries. The second SI is based on fatal crashes and crashes with incapacitating
or non-incapacitating injuries.
IDOT has a SI which is used to identify locations that have high number of serious and fatal
crashes. This SI is used in the process to program safety funds. The index is calculated
as follows:
Fatal Crash = 25
A-injury (Incapacitating Injury) Crash = 10
B-Injury (Moderate Injury) = 1
C-Injuries and PDO crashes are not assigned any value
A second SI is included that give high weights to serious and fatal crashes, but also gives
some value to crashes with minor injuries or property damage only crashes. This index is
able to capture intersections that have numerous minor crashes that cause congestion and
damage to property. Frequent minor crashes may also be a signal that more serious
crashes may occur in the future if traffic conditions worsen. The index is calculated as
follows:
Fatal Crash = 20
A-injury (Incapacitating Injury) Crash = 10
B-Injury (Moderate Injury) = 3
C-Injuries =2
PDO crashes =1
All of the intersections on each table are hyperlinked to pages that describe the intersection
in detail.
There are three groups of tables that list intersections with the highest total or rates for
each crash type. These tables are based on the 472 intersections that were included in the
20

analysis. While they include most of the locations that have the highest frequency for each
crash type, there may be individual locations in the region that have been dropped from the
analysis.
The initial tables deal with general trends for intersections and are not focused on specific
types of collisions. This group contains eight tables. The tables contain the intersections
that rank higher than the top 25 to 30 for crash frequencies. There are not always 30
intersections listed because ties are assigned the higher number. The tables that focus on
high volume intersections have fewer intersections listed.
Total Crashes: Intersections with the Highest Number of Total Crashes (29 intersections)
Serious Crashes: Intersections with the Highest Number of Serious Crashes (27 intersections)
Collision Rate (All Crashes): Intersections with the Highest Number of Crashes per Traffic Volume (26
intersections)
Collision Rate (All Crashes) at High Volume Intersections: Intersections with the Highest Number of
Crashes per Traffic Volume (16 intersections))
Collision Rate (Serious Crashes): Intersections with the Highest Number of Serious Crashes per
Traffic Volume (30 intersections)
Collision Rate (Serious Crashes) High Volume Intersections: Intersections with the Highest Number
of Serious Crashes per Traffic Volume (23 intersections))
CMAP Severity Index Ranking Calculated Using All Crashes. (29 intersections))
IDOT Severity Index Ranking Calculated Using Only Fatal, Incapacitating Injury Crashes, and Non-
Incapacitating Injury Crashes (28 intersections)
For each crash category, intersections that rank in the top 30 for crashes or the top 30 for
serious crashes are included. These are listed in order by the number of serious crashes.
If there are ties for serious crash totals, the intersections are ordered by total crashes. The
tables include the total number of crashes and serious crashes along with their ranks. The
tables list the two SI calculated using only the crashes in the category. The tables also list
the IDOT SI calculated using all crashes for the intersection.
All Crashes (this is slightly different than the previous serious or total crash table in that only the top
25 rank for crashes or serious crashes is included and these are listed in order by the number of
serious crashes)
Angle Crashes
Head-On Crashes
Late Night Crashes (10 00 PM to 5 00 AM)
Overturned Vehicle Crashes
Sideswipe Opposite-Direction Crashes
Sideswipe Same-Direction Crashes
Vehicle/Train Crashes
Vehicle/Pedestrian Crashes
Vehicle/Pedalcyclist Crashes
Fixed Object Crashes
Rear-end Crashes
Driver Disregarded Control Device
Crashes Involving Older Drivers (65 - 90 years of age)
Crashes Involving Younger Drivers (16 - 22 years of age)
Right Turn On Red Crashes
21

Vehicles Traveling in the Wrong Direction
Crashes Involving Excess Speed
Crashes Involving Parked Vehicles
Crashes Involving Rain
Crashes Involving Animals
Crashes Involving Turning Vehicles
Crashes Involving Vehicles that Failed to Yield
The following 9 tables rank the number of crashes for specific movements of two vehicle collisions
at intersections. At an intersection, vehicles can move forward, turn right or turn left. The vehicles
that they collide with can come from the opposing direction, from behind, or from the sides. Each
movement has three opposing movements so there are nine possible combinations.
The crash frequencies are tracked for each approach to an intersection separately. For example, if
an intersection has four approaches, then there are four positions that could have a left-turning
vehicle that collides with traffic from the opposite direction. The tables that list these crashes might
have more than one listing for an intersection; the direction of travel would be different for each
occurrence.
Not all of the crashes are included in this part of the analysis. These crash totals only reflect
crashes with exactly 2 vehicles. The crash types Pedestrian, Pedalcyclist, Train, Animal,
Overturned and Fixed Object, usually have only one vehicle. For all of these crashes combined
there was only one vehicle in the crash 96 % if the time. For crashes involving Turning, Angle,
Head-on, Rear-end, Parked Motor vehicle, Sideswipe-same direction, and Sideswipe-opposite
direction, over 91% of the crashes involve exactly two vehicles. Additionally, any two vehicle crash
that was missing any direction information for either vehicle could not be analyzed7
. The resulting
totals for the intersection approaches should be viewed as an indication that certain movements at
an intersection might be involved in unusually high number of crashes.
Collisions Involving Vehicles Turning Left and Vehicles Traveling in a Perpendicular Direction
Collisions Involving Vehicles Turning Left and Vehicles Traveling in the Same Direction
Collisions Involving Vehicles Turning Left and Vehicles Traveling in Opposite Direction
Collisions Involving Vehicles Turning Right and Vehicles Traveling in a Perpendicular Direction
Collisions Involving Vehicles Turning Right and Vehicles Traveling in Opposite Direction
Collisions Involving Vehicles Turning Right and Vehicles Traveling in the Same Direction
Collisions Involving Forward Moving Vehicles and Vehicles Traveling in a Perpendicular Direction
Collisions Involving Forward Moving Vehicles and Vehicles Traveling in Opposite Direction
Collisions Involving Forward Moving Vehicles and Vehicles Traveling in the Same Direction
7
The directional information for some crashes was inconsistent with the geography of the intersection. To compensate
for this some of the directional information was processed and the direction of travel was altered.
22

Detailed Information for Crash Types
There are two classifications of crashes that will be discussed in more detail because they
might affect all of the other crash categories. The first is Late Night Crashes which are
crashes that take place between 10:00 PM to 5:00 AM. This is not an exclusive category of
crash that prohibits other classifications. For instance, a turning crash can not also be
classified as a rear-end crash, but both of these could have taken place in the late night.
Of the 449,489 crashes near intersections, 11.6% took place in the late-night period. In
contrast to the total number of crashes, 15.2% of the serious crashes were in the late night
and 33.0% of the fatal crashes took place in the late night.
As can be seen in Figure 13, almost every category of crash has a higher share of serious
crashes in the late time period than the share of total crashes. The increases for fatal
crash shares are even greater. Although a few crash categories have no late night fatal
crashes or the share for fatal crashes is smaller than the other crash severity levels, eleven
out of fourteen categories of crashes have higher shares of fatal crashes in the late-night
period compared to the serious crashes and also all crash severities.
Because so many of the serious crashes occur in the late time period it is important to note
if the serious crashes being examined are linked to late night travel. This may have a
significant impact on how effective an investment in safety funds may be. If a significant
proportion of serious crashes at an intersection take place in the late hours, it might be
necessary to explore enforcement alternatives in addition to engineering solutions. The
individual statistics by crash type (below) include information for late-night crashes.
Figure 13. The Distribution of Late-Night Intersection Crashes by Type and Severity
0%
10%
20%
30%
40%
50%
60%
70%
80%
90%
Pedestrian
Pedalcyclist
Train
Animal
Overturned
FixedObject
Parked
Turning
Rear-end
SSSD
SSOD
Head-on
Angle
Other
All Crashes
Serious Crashes
Fatal Crashes
The percentages reflect the share of each crash type that occurs in the late-night period
23

A second issue that can affect any crash, regardless of the crash category, is the age of the
driver. In Figure 14 the share of drivers that are elderly (ages 65 to 90) or young (ages 16
to 22) are shown for late-night crashes and the crashes for the remainder of the day. The
data does show that elderly people are in a higher percentage of crashes in the normal
hours of travel and represent a smaller share of crashes in the late night time period. It
also seems that the elderly tend to have relatively more fatal crashes compared to their
over-all share of crashes during the normal hours of travel.
The young drivers account for about one-seventh of the crashes near intersections, for all
levels of severity, during the regular travel hours. Without accurate information on how
many miles this group travels, it is difficult to determine if this is above the norm for all
drivers. The share of late-night crashes and serious crashes near intersections increase
for the young drivers compared to their share for regular driving hours. As is shown in the
previous figure, all late-night driving involves additional risk for serious injury and death, but
the young drivers increase their share of serious and fatal crashes above their share of
crashes overall. There is not enough information to determine if young drivers are over-
represented in late-night crashes of all severity levels, but the increasing share of severe
crashes leads one to believe that they are over represented.
The lack of detailed driving characteristics for young drivers prevents further analysis in this
regard but each intersection has information on the share of crashes that involved young
drivers. Many of the intersections are located by schools and universities. These areas
might benefit from additional safeguards geared to young drivers.
Figure 14. Young Driver’s and Elderly Driver's Share of Crashes by Severity and Time
Period.
0%
5%
10%
15%
20%
25%
Crashes
(Not Late)
Serious Crashes
(Not Late)
Fatal Crashes
(Not Late)
Late Night
Crashes
Serious Late Night
Crashes
Fatal Late Night
Crashes
Young Drivers
Elderly Drivers
24

The following tables provide specific details for each crash category. There are thirteen
exclusive crash categories that define all crashes. Each crash has been assigned to one of
these groups. In addition, there are eight characteristics that may be applied to any crash.
For each category, the first three columns show the numbers of crashes for the category by
crash severity. Those columns also show the percent of intersection crashes by severity
level for each crash category. For example, there were 98 fatal angle crashes in the
analysis period for the region; these 98 crashes were 14.1% of all fatal intersection
crashes.
The tables also show, for each crash severity for each category, the percent of the crashes
that occur in the late night. For example, 9.6% of angle crashes at intersections occur in
the late night, while 27.5% of fatal angle crashes at intersections occur in the late night.
Angle Crashes: Exclusive Crash Category
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Angle Crashes 59,993 (13.3%) 2,076 (16.4%) 98 (14.1%) 9.60% 13.7 % 27.5 %
Head-On Crashes: Exclusive Crash Category
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Head-On Crashes 2,630 (0.6%) 291 (2.5%) 42 (6%) 17.30% 20.4 % 28.5 %
Crashes Involving Animals: Exclusive Crash Category
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Animal Crashes 3,179 (0.7%) 38 (0.2%) 0 (0%) 25.3 % 21 % 0 %
Crashes Involving Excess Speed: General Crash Characteristic
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Excess Speed Crashes 101,837 (22.7%) 3,404 (25.7%) 217 (31.4%) 11.40% 19.00% 45.20%
Crashes Involving Younger Drivers (16 - 22 years of age): General Crash Characteristic
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Young Driver Crashes 132,088 (15.9%) 4,149 (17.3%) 197 (17.5%) 12.10% 18.70% 37.1.2%
Crashes Involving Older Drivers (65 - 90 years of age): General Crash Characteristic
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Elderly Drivers 50,391 (6.1%) 1,693 (7.1%) 98 (8.7%) 3.74% 4.90% 6.10%
Crashes Involving Parked Vehicles: Exclusive Crash Category
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Parked Vehicle Crashes 56,381 (12.5%) 445 (3.4%) 12 (1.7%) 23.20% 33.4 % 66.6 %
25

Crashes Involving Rain: General Crash Characteristic
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Rain Related Crashes 55,196 (12.3%) 1,529 (11.5%) 66 (9.5%) 12.00% 16.20% 31.80%
Crashes Involving Turning Vehicles: Exclusive Crash Category
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Turning Vehicle Crashes 96,499 (21.5%) 2,890 (22.5%) 98 (14.1%) 7.90% 10.4 % 14.2 %
Crashes Involving Vehicles that Failed to Yield: General Crash Characteristic
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Failure to Yield Crashes 78,225 (17.4%) 3,406 (25.7%) 128 (18.5%) 6.60% 8.10% 8.60%
Driver Disregarded Control Device: General Crash Characteristic
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Disregarded Control Device 21,660 (4.8%) 1,396 (10.5%) 74 (10.7%) 14.00% 17.00% 31.10%
Fixed Object Crashes: Exclusive Crash Category
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Fixed Object Crashes 24,770 (5.5%) 1,026 (8.9%) 160 (23.1%) 30.80% 41.4 % 53.7 %
Overturned Vehicle Crashes: Exclusive Crash Category
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Overturned Vehicle Crashes 1,130 (0.3%) 178 (1.4%) 10 (1.4%) 29.50% 33.5 % 80 %
Rear-end Crashes: Exclusive Crash Category
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Rearend Crashes 138,361 (30.8%) 2,454 (18.8%) 45 (6.5%) 6.80% 9.6 % 26.6 %
Right Turn On Red Crashes: General Crash Characteristic
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Right Turn On Red Crashes 1,037 (0.2%) 29 (0.2%) 0 9.10% 10.30% 0
Sideswipe Opposite-Direction Crashes: Exclusive Crash Category
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Sideswipe Opposite-Direction 5,051 (1.1%) 164 (1.2%) 8 (1.1%) 15.60% 21.5 % 12.5 %
26

Sideswipe Same-Direction Crashes: Exclusive Crash Category
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Sideswipe Same-Direction 41,855 (9.3%) 467 (3.6%) 13 (1.8%) 9.20% 15.2 % 38.4 %
Vehicle/Pedalcyclist Crashes: Exclusive Crash Category
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Pedalcyclist Crashes: 4,568 (1.0%) 595 (4.6%) 20 (2.8%) 6.70% 7.4 % 25 %
Vehicle/Pedestrian Crashes: Exclusive Crash Category
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Pedestrian Crashes 9,009 (2.0%) 1,748 (14.4%) 172 (24.8%) 12.10% 15.3 % 25 %
Vehicle/Train Crashes: Exclusive Crash Category
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Vehicle/Train Crashes 74 (0%) 6 (0%) 5 (0.7%) 17.6% 18.1 % 0 %
Vehicles Traveling in the Wrong Direction: General Crash Characteristic
Crashes
(% All Crashes)
Serious Crashes
(% All Serious
Crashes)
Fatal Crashes
(% All Fatal
Crashes)
Late Night
Crashes (%)
Late Night
Serious Crashes
(%)
Late Night Fatal
Crashes(%)
Wrong Direction Crashes 2,752 (0.6%) 225 (1.7%) 23 (3.3%) 25.50% 27.60% 39.10%
27

Discussion of data sheets
This report focuses on 472 intersections that are identified because of relatively high
number of crashes or crash rates for various types of crashes. Each intersection is
presented on one page and the various types of crashes and crash rates are listed.
When specific types of crashes are present at elevated values or rates, they are color-
coded so that they can be more easily identified.
The location of the intersection is described by street names that were captured through
an automated process using a GIS. The municipality and county were listed if the
intersection was within the county or municipality borders. An intersection location map is
included to position the intersection (red dot) within the region.
A fairly high resolution aerial image of the intersection is included that covers
approximately 500 ft. by 500 ft. The crashes that had a serious injury or a fatality are
coded with a red triangle. All other crashes are coded with a green circle. Many crashes
are coded on top on each other. Crash points do not always show the exact location of a
crash. Crash points to not give location information on the lane where a crash took place.
Crashes by Direction of Travel
The vehicle crash file was analyzed to provide some information on the direction of travel
of vehicles in crashes. The majority of crashes involve two vehicles. For only these types
of crashes, the direction of each vehicle in a crash, its turning movement and the direction
of travel of the vehicle that they collided with were tallied and summed for each of the
eight directions of approach to the intersection. The result is a matrix for each approach
that shows the number of vehicles that were turning left, moving forward or turning right
and where the vehicles that they collided with came from (opposite direction, from either
side, or from behind). If one approach accounted for at least 35% of the vehicles in
crashes, the direction was highlighted with a red bar. (This type of information would be
useful to determine which intersection had the most crashes where left turning vehicles
were struck by opposing vehicles.)
It is important to note that this analysis only examined crashes with exactly 2 vehicles for
crashes where directional information was supplied for both vehicles. The source of the
directional information is the data item “Direction Travel Prior”. This value is generally
reliable. Sometimes the direction reflects the direction that the vehicle was traveling in
the instant that the collision occurred. This may lead to seemingly impossible
movements when turning vehicles direction is captured. The data was artificially
synthesized by CMAP to account for some of the questionable movements. The direction
analysis is only a guide to show possible problem areas at intersections.
28

Regional Average All Intersections
These values reflect the distribution of collision types at all of the intersections in the
region. The sum of all the crashes total 98.7% of the crashes, as opposed to 100 %,
because “Other object” and “Other non-collision” crashes were not listed. These typical
shares are presented to compare to the collision-type distribution at each specific
intersection.
Data Definitions
Crashes (All) and Crashes (Serious) are described by the following:
Share (%): the percentage of all crashes at the intersection that are of this type.
Color coding: Very high (orange), High (bright yellow) and Elevated (pale yellow)
descriptions reflect relative increase shares of crashes of 150%, 100% and 50%
respectively.
Crashes: The total number of crashes near the intersection. No color coding.
Rank: The rank of the intersection compared to all intersections in the region. Ties
are assigned the lower value.
Color coding: Very High (orange) is a top 10 ranking, High (bright yellow) is a rank
between 25 and 11, Elevated (pale yellow) represents a rank between 100 and 26
Rate: Crashes per 100,000 entering vehicles. Not all intersections have rates
calculated. Intersection must have at least 2 AADT8
values. The lowest intersection
volume used in the analysis is 1659 vehicles per day. No color coding.
Crash Type- The crashes are based on the Collision Type Code in the crash data file
and each crash only has one value.
Crash Total (Sum) - All crashes that are within 250 feet of the intersection.
Pedestrian- Collision Type Code 1 is a pedestrian crash
Pedalcyclist - Collision Type Code 2 is a pedalcyclist crash
Train- Collision Type Code 3 is a train crash
Animal- Collision Type Code 4 is an animal crash
Overturned- Collision Type Code 5 is an overturned crash
Fixed Objet- Collision Type Code 6 is a fixed object crash
Parked Vehicle- Collision Type Code 9 is a parked crash
Turning- Collision Type Code 10 is a turning crash
Rear End- Collision Type Code 11 is a rear-end crash
Sideswipe Same Dir. - Collision Type Code 12 is a sideswipe same direction crash
Sideswipe Opposite Dir. - Collision Type Code 13 a sideswipe opposite direction crash
Head On- Collision Type Code 14 is a head on crash
Angle- Collision Type Code 15 is an angle crash
8
Annual average daily traffic.
29

Crash Factors: Additional characteristics of the crash based on the Primary Cause and
Secondary Cause in the crash data file. These are not exclusive and any crash may have
any of these factors.
Too Fast (All Crashes) - Primary Cause or Secondary Cause = 1, 27, 28 or 50 related
to excess speed or being aggressive (any crash-not exclusive)
Rain (All Crashes) - Weather = 2 then rain related (any crash-not exclusive)
Wrong Way (All Crashes) - Primary Cause or Secondary Cause = 5 related to driving
wrong side or wrong way (any crash-not exclusive)
Disregarded Control (All) - Primary Cause or Secondary Cause = 22, 23, 24, 25 or
26 related to disregarded control device (any crash-not exclusive)
Right on Red (All Crashes) - Primary Cause or Secondary Cause = 7 related to
turning right on red (any crash-not exclusive)
Late Night (All Crashes) - Crashes that took place between 10:00 PM and 5:00 AM
(hour greater than 21 and hour less than 5)
Crash Factors- Vehicle based These characteristics of the crashes are based on the
total number of vehicles, not the number of collisions, which were in crashes near the
intersection. (These rates were calculated based on the values “All Vehicles in Crashes”
in the crash data file).
Failed to Yield- Driver Action = 2 Failed to yield
Young Drivers - The driver’s age was greater than 15 and less than 23
Elderly Drivers - The driver’s age was greater than 64 and less than 90
General Definitions:
Fatal Crashes-Crashes with at least one fatality.
Traffic Volume- must have at least 2 AADT numbers. The lowest is 1659 in the data.
Severity Index (SI): An index was calculated to rank the severity of crashes at
intersections. IDOT has created its own index that is focused on serious injuries and
fatalities. This index is useful to determine which intersection experienced the most
serious crashes.
A second option is to give all crashes, even property damage and minor injuries, some
weight to determine which intersections have the highest severity index. This allows
for crashes that create traffic delays to be included.
IDOT-SI (Serious) =(B_INJURIES)+(A_INJURIES*10)+(TOTAL_KILL*25)
SI-All Crashes =PDO+(B_INJURIES*3)+(C_INJURIES*2)+(A_INJURIES*10)+(TOTAL_KILL*20)
30

Vehicles in Special Intersection Crashes- These are relatively low occurrence
crashes in general, but if they are present, then there may be a problem with the
intersection. These crashes are selected based on “Driver vision” and “The vehicle
maneuver prior to the crash” in the person file.
From Parking- Vehicle maneuver is 16
To Parking- Vehicle maneuver is 17
Merging- Vehicle maneuver is 18
From Alley- Vehicle maneuver is 20
Negotiate Curve- Vehicle maneuver is 26
Parked- Driver vision is 8
Wrong Way- Vehicle maneuver is 12
Hillcrest- Driver vision is 7
Trees- Driver vision is 3
31

INTERSECTION CRASH ANALYSES
Intersection Crash Analyses begin on the next page.
32

Total Crashes: Intersections with the Highest Number of Total Crashes in Northeastern
Crashes Serious Crashes* Severity Index ***
Total Rankª Rateˆ Total Rankª Rateˆ
Crash Crash Crash Crash Crash Crash IDOT CMAP
Value Rankª
IDOT CMAP
Value RankªLocation
297 1 4.64 4 305 0.05 85 23 422 1S STONY ISLAND AVE S SOUTH CHICAGO AVE
Cook CountyChicago,
257 2 4.13 7 27 0.10 104 7 384 2S STONY ISLAND AVE E 95TH ST
Cook CountyChicago,
216 3 NA 0 NA NA 5 9879 236 21N BROADWAY ST GOLF RD
Cook CountyDes Plaines,
204 4 4.56 5 132 0.10 82 26 319 4LARKIN AVE JEFFERSON ST
Will CountyJoliet,
198 6 3.75 2 2277 0.02 49 213 295 6RANDALL RD HUNTLEY RD
Kane CountyCarpentersville,
198 6 2.49 1 9565 0.01 23 1908 259 8IL-83 NORTH AVE
DuPage CountyElmhurst,
195 7 NA 2 2277 NA 29 1013 243 17W NORMANTOWN RD S WEBER RD
Will CountyRomeoville,
192 8 5.57 11 1 0.31 123 2 339 3IL-59 W CATON FARM RD
Will CountyJoliet,
191 9 14.68 6 55 0.45 75 42 300 5W FRONTAGE RD E WOODFIELD RD
Cook CountySchaumburg,
187 10 2.17 5 132 0.05 65 72 271 10IL-83 W 22ND ST
DuPage CountyOakbrook Terrace,
182 11 4.87 2 2277 0.04 31 926 247 12GRAND AVE HUNT CLUB RD
Lake CountyGurnee,
179 12 3.43 3 810 0.05 42 379 257 9S CICERO AVE W 127TH ST
Cook CountyAlsip,
177 13 3.97 3 810 0.05 43 360 241 20LINCOLN HWY CICERO AVE
Cook CountyMatteson,
173 14 2.94 4 305 0.05 46 287 229 31N 1ST AVE IL-64
Cook CountyMelrose Park,
171 15 3.86 4 305 0.08 50 196 235 24E DUNDEE RD N RAND RD
Cook CountyPalatine,
170 16 4.90 3 810 0.08 40 418 229 27S LAKE ST IL-60
Lake CountyMundelein,
168 17 3.93 3 810 0.06 34 716 211 51N PULASKI RD W IRVING PARK RD
Cook CountyChicago,
166 18 3.08 5 132 0.08 57 126 249 11FINLEY RD BUTTERFIELD RD
DuPage CountyDowners Grove,
165 19 3.95 5 132 0.10 65 72 249 15N CICERO AVE W FULLERTON AVE
Cook CountyChicago,
163 20 3.49 2 2277 0.04 28 1063 204 57N WESTERN AVE W ADDISON ST
Cook CountyChicago,
162 21 3.72 5 132 0.10 59 103 233 27N CICERO AVE W LAWRENCE AVE
Cook CountyChicago,
160 22 2.91 6 55 0.10 85 23 251 15S HARLEM AVE W 79TH ST
Cook CountyBridgeview,
158 24 2.78 2 2277 0.02 24 1745 194 68IL-59 NORTH
DuPage CountyWest Chicago,
158 24 3.79 4 305 0.09 52 175 223 37N WESTERN AVE W FULLERTON AVE
Cook CountyChicago,
155 25 3.24 2 2277 0.04 26 1308 204 44IL-59 N AURORA RD
DuPage CountyNaperville,
154 27 3.76 5 132 0.10 59 103 237 16BLOOMINGDALE RD E ARMY TRAIL RD
DuPage CountyGlendale Heights,
154 27 2.38 2 2277 0.02 27 1147 192 76S CICERO AVE W 55TH ST
Cook CountyChicago,
***IDOT Seveverity Index = (Fatal Crash x 25) + (Serious Injury(A) x 10) + (Nonincapacitating Injury(B) )
***CMAP All Crash Seveverity Index = (Fatal Crash x20) + (Serious Injury(A) x 10) + (Nonincapacitating Injury(B) x 3 ) + (Reported Injury(C) x 2) + PDO
*** Higher SI numbers indicate increased risk. CMAP and IDOT SI numbers are not suitable for comparison. PDO= Property damage only crash
ªThe ranking system assigns the higher numeric value for tied quantities (tie for 4th and 5th = 5th). Lower numbers indicate increased risk.
*Serious crashes include those with a fatality or incapacitating injury
ˆThe crash rates are based on crashes per 1,000,000 vehicles entering the intersection
33

Total Crashes: Intersections with the Highest Number of Total Crashes in Northeastern
Value Rankª
IDOT CMAP
153 29 2.38 2 2277 0.02 31 926 215 31IL-59 OGDEN AVE
DuPage CountyAurora,
153 29 3.35 2 2277 0.04 32 864 208 49LINCOLN HWY CRAWFORD AVE
34

Serious Crashes: Intersections with the Highest Number of Serious Crashes in
Serious Crashes* Crashes Severity Index ***
Value Rankª
IDOT CMAP
11 1 0.31 192 8 5.57 123 2 339 3IL-59 W CATON FARM RD
Will CountyJoliet,
10 4 0.08 124 87 1.13 120 3 243 20S LAKE SHORE DR E MONROE DR
Cook CountyChicago,
10 4 0.23 126 78 3.06 119 4 237 29N CICERO AVE W BELMONT AVE
Cook CountyChicago,
10 4 0.20 133 63 2.73 140 1 285 7RANDALL RD HIGGINS RD
Kane CountyElgin,
9 8 NA 94 274 NA 94 13 192 72N CICERO AVE IL-64
Cook CountyChicago,
9 8 0.13 94 274 1.56 99 10 201 59S ARCHER AVE 111TH ST
Cook County
9 8 0.13 104 196 1.60 114 5 220 38W OGDEN AVE RAYMOND
9 8 0.27 71 627 2.17 100 9 179 111COUNTY FARM RD GENEVA RD
DuPage CountyWinfield,
8 12 NA 76 523 NA 87 20 169 142W CATON FARM RD W FRONTAGE RD
Will CountyJoliet,
8 12 0.17 88 327 1.97 88 18 185 89MEYERS RD BUTTERFIELD RD
DuPage CountyOak Brook,
8 12 NA 145 39 NA 92 14 243 22S COTTAGE GROVE AVE E 87TH ST
Cook CountyChicago,
8 12 0.20 86 354 2.28 89 16 186 85SHALES PKY LAKE ST
Cook CountyElgin,
7 27 0.12 45 1527 0.80 72 47 114 573NAPER BLVD MAPLE AVE
DuPage County
7 27 0.16 61 881 1.53 89 16 145 284N RIVER RD W OGDEN AVE
7 27 0.16 110 164 2.63 79 31 202 56S 1ST AVE ROOSEVELT RD
Cook CountyForest Park,
7 27 0.19 86 354 2.38 79 31 174 127KEDZIE AVE W 159TH ST
Cook CountyMarkham,
7 27 0.31 49 1330 2.21 74 43 126 408S KEDZIE AVE W 119TH ST
Cook CountyMerrionette Park,
7 27 0.10 257 2 4.13 104 7 384 2S STONY ISLAND AVE E 95TH ST
Cook CountyChicago,
7 27 0.16 91 296 2.13 77 39 172 142S ROBERTS RD W 79TH ST
7 27 0.24 93 279 3.45 78 34 184 85S HALSTED ST W 79TH ST
Cook CountyChicago,
Cook CountyChicago,
7 27 0.31 58 970 2.71 77 39 137 355S CALIFORNIA AVE W 63RD ST
Cook CountyChicago,
7 27 0.27 76 523 3.01 77 39 155 231N PULASKI RD W DIVERSEY AVE
Cook CountyChicago,
7 27 0.13 135 59 2.80 101 8 246 20OAKTON RD E BUSSE RD
Cook CountyElk Grove Village,
7 27 NA 121 99 NA 78 34 216 35RANDALL RD MCHENRY AVE
McHenry CountyCrystal Lake,
Cook CountyChicago,
7 27 0.20 145 39 4.49 86 21 249 15S HALSTED ST W 95TH ST
Cook CountyChicago,
35

Collision Rate (All Crashes): Intersections with the Highest Number of Crashes per
Traffic Volume in Northeastern Illinois (2005-2006)
Rateˆ Total Rankª Rateˆ Total Rankª
Value Rankª
IDOT CMAP
15.64 24 4010 0.64 1 9565 10 9576 36 4080S WRIGHT RD NISH RD
McHenry County
14.68 191 9 0.45 6 55 75 42 300 5W FRONTAGE RD E WOODFIELD RD
14.02 17 6424 NA 0 NA 0 68592 18 9854S WABASH AVE E 16TH ST
Cook CountyChicago,
9.24 25 3779 NA 0 NA 5 9879 36 4403FLOSSMOOR RD CENTRAL AVE
Cook County
7.32 57 1011 NA 0 NA 6 9721 74 1341N CLINTON ST W RANDOLPH ST
Cook CountyChicago,
7.04 35 2260 0.39 2 2277 23 1908 62 1883N JOLIET ST W JACKSON ST
Will CountyJoliet,
7.02 115 128 0.10 2 2277 24 1745 146 263IL-126 W LOCKPORT ST
Will CountyPlainfield,
6.43 121 99 0.09 2 2277 27 1147 169 112S STATE ST W 63RD ST
Cook CountyChicago,
6.12 152 32 0.19 5 132 59 103 219 44N KIMBALL AVE W BELMONT AVE
Cook CountyChicago,
5.98 84 383 0.13 2 2277 24 1745 121 408S EASTWOOD DR LAKE AVE
McHenry CountyWoodstock,
5.69 108 173 0.15 3 810 39 443 162 164S MICHIGAN AVE E BALBO DR
Cook CountyChicago,
5.57 98 240 0.27 5 132 60 95 173 115S ROBERTS RD W 111TH ST
Cook CountyPalos Hills,
5.57 192 8 0.31 11 1 123 2 339 3IL-59 W CATON FARM RD
Will CountyJoliet,
5.20 121 99 0.20 5 132 87 20 232 23E 75TH STS SOUTH CHICAGO AVE
Cook CountyChicago,
5.10 146 37 0.06 2 2277 25 1629 184 89N SHERIDAN RD W HOLLYWOOD AVE
Cook CountyChicago,
4.90 76 523 0.05 1 9565 16 2939 102 712S CALIFORNIA AVE W 31ST ST
Cook CountyChicago,
4.90 170 16 0.08 3 810 40 418 229 27S LAKE ST IL-60
4.89 44 1575 0.32 3 810 41 404 94 964S 2ND ST W ILLINOIS ST
Kane CountySt. Charles,
4.87 182 11 0.04 2 2277 31 926 247 12GRAND AVE HUNT CLUB RD
Lake CountyGurnee,
4.80 96 256 0.09 2 2277 34 716 153 190S DR MARTIN L KING JR DR E 63RD ST
Cook CountyChicago,
4.67 139 46 0.09 3 810 39 443 190 85SOUTHWEST HWY W 111TH ST
4.64 297 1 0.05 4 305 85 23 422 1S STONY ISLAND AVE S SOUTH CHICAGO AVE
Cook CountyChicago,
4.56 204 4 0.10 5 132 82 26 319 4LARKIN AVE JEFFERSON ST
Will CountyJoliet,
4.56 6 18153 1.52 2 2277 21 2442 27 6395FRANKLINVILLE RD PERKINS RD
McHenry County
4.49 104 196 0.04 1 9565 14 3351 127 397S LAFAYETTE AVE W 87TH ST
Cook CountyChicago,
4.49 145 39 0.20 7 27 86 21 249 15S HALSTED ST W 95TH ST
Cook CountyChicago,
36

Collision Rate (All Crashes) at High Volume Intersections: Intersections with the
Highest Number of Crashes per Traffic Volume in Northeastern Illinois (2005-2006)
Value Rankª
IDOT CMAP
7.02 115 128 0.10 2 2277 24 1745 146 263IL-126 W LOCKPORT ST
Will CountyPlainfield,
6.43 121 99 0.09 2 2277 27 1147 169 112S STATE ST W 63RD ST
Cook CountyChicago,
6.12 152 32 0.19 5 132 59 103 219 44N KIMBALL AVE W BELMONT AVE
Cook CountyChicago,
5.69 108 173 0.15 3 810 39 443 162 164S MICHIGAN AVE E BALBO DR
Cook CountyChicago,
5.57 192 8 0.31 11 1 123 2 339 3IL-59 W CATON FARM RD
Will CountyJoliet,
5.20 121 99 0.20 5 132 87 20 232 23E 75TH STS SOUTH CHICAGO AVE
Cook CountyChicago,
5.10 146 37 0.06 2 2277 25 1629 184 89N SHERIDAN RD W HOLLYWOOD AVE
Cook CountyChicago,
4.90 170 16 0.08 3 810 40 418 229 27S LAKE ST IL-60
4.90 76 523 0.05 1 9565 16 2939 102 712S CALIFORNIA AVE W 31ST ST
Cook CountyChicago,
4.87 182 11 0.04 2 2277 31 926 247 12GRAND AVE HUNT CLUB RD
Lake CountyGurnee,
4.80 96 256 0.09 2 2277 34 716 153 190S DR MARTIN L KING JR DR E 63RD ST
Cook CountyChicago,
4.67 139 46 0.09 3 810 39 443 190 85SOUTHWEST HWY W 111TH ST
4.64 297 1 0.05 4 305 85 23 422 1S STONY ISLAND AVE S SOUTH CHICAGO AVE
Cook CountyChicago,
4.56 204 4 0.10 5 132 82 26 319 4LARKIN AVE JEFFERSON ST
Will CountyJoliet,
4.49 104 196 0.04 1 9565 14 3351 127 397S LAFAYETTE AVE W 87TH ST
Cook CountyChicago,
Cook CountyChicago,
37

Collision Rate (Serious Crashes): Intersections with the Highest Number of Serious
Crashes per Traffic Volume in Northeastern Illinois (2005-2006)
Value Rankª
IDOT CMAP
1.52 2 2277 4.56 6 18153 21 2442 27 6395FRANKLINVILLE RD PERKINS RD
McHenry County
1.39 2 2277 3.50 5 21223 22 2160 27 6679RIVER RD COUNTY LINE RD
McHenry County
1.17 2 2277 1.78 3 32114 35 665 31 5620US-52 LISBON RD
Kendall County
1.01 2 2277 2.02 4 25574 21 2442 24 7661S UNION E CORAL RD
McHenry CountyUnion,
0.84 3 810 4.27 15 7378 46 287 56 2251ALLEN RD BRIER HILL RD
Kane County
0.79 2 2277 0.79 2 43454 50 196 40 3938ALTENBERG RD ALDEN RD
McHenry County
0.79 2 2277 2.79 7 15766 35 665 37 4080S GOUGAR RD W MANHATTAN RD
Will County
0.78 2 2277 0.78 2 43454 20 2732 20 9372KLEIN RD SMITH RD
DuPage County
0.75 4 305 3.20 17 6424 45 317 64 1883SCHLAPP RD IL-126
Kendall County
0.69 2 2277 3.86 11 10342 21 2442 34 4403JOHNSBURG RD SUNSET RD
McHenry CountySpring Grove,
0.64 1 9565 15.64 24 4010 10 9576 36 4080S WRIGHT RD NISH RD
McHenry County
0.46 4 305 1.30 11 10342 58 115 63 1959DEAN ST IL-176
McHenry County
0.45 6 55 14.68 191 9 75 42 300 5W FRONTAGE RD E WOODFIELD RD
0.39 2 2277 7.04 35 2260 23 1908 62 1883N JOLIET ST W JACKSON ST
Will CountyJoliet,
0.34 5 132 3.56 52 1201 54 155 110 586ASHLAND AVE W VERMONT AVE
Cook CountyCalumet Park,
0.32 5 132 2.45 37 2060 68 57 101 773GRASS LAKE ANTIOCH
Lake CountyLake Villa,
0.32 3 810 4.89 44 1575 41 404 94 964S 2ND ST W ILLINOIS ST
Kane CountySt. Charles,
0.31 7 27 2.71 58 970 77 39 137 355S CALIFORNIA AVE W 63RD ST
Cook CountyChicago,
0.31 11 1 5.57 192 8 123 2 339 3IL-59 W CATON FARM RD
Will CountyJoliet,
0.31 7 27 2.21 49 1330 74 43 126 408S KEDZIE AVE W 119TH ST
0.31 5 132 2.97 47 1436 55 147 105 700S WENTWORTH AVE W 103RD ST
Cook CountyChicago,
Cook CountyChicago,
0.28 2 2277 3.73 25 3779 23 1908 50 2728BONCOSKY RD SLEEPY HOLLOW RD
Kane County
0.28 3 810 1.17 12 9461 47 256 54 2422S GOUGAR RD E LARAWAY RD
Will CountyNew Lenox,
0.28 3 810 1.76 18 5933 47 256 60 2053IL-53 RIVER RD
Will CountyWilmington,
0.27 7 27 3.01 76 523 77 39 155 231N PULASKI RD W DIVERSEY AVE
Cook CountyChicago,
38

Collision Rate (Serious Crashes): Intersections with the Highest Number of Serious
Crashes per Traffic Volume in Northeastern Illinois (2005-2006)
Value Rankª
IDOT CMAP
0.27 5 132 2.32 41 1761 53 167 97 806RIDGELAND AVE 211TH ST
0.27 9 8 2.17 71 627 100 9 179 111COUNTY FARM RD GENEVA RD
39

Collision Rate (Serious Crashes) High Volume Intersections: Intersections with the
Highest Number of Serious Crashes per Traffic Volume in Northeastern Illinois (2005-
2006)
Value Rankª
IDOT CMAP
0.34 5 132 3.56 52 1201 54 155 110 586ASHLAND AVE W VERMONT AVE
Cook CountyCalumet Park,
0.32 5 132 2.45 37 2060 68 57 101 773GRASS LAKE ANTIOCH
Lake CountyLake Villa,
0.31 11 1 5.57 192 8 123 2 339 3IL-59 W CATON FARM RD
Will CountyJoliet,
0.31 5 132 2.97 47 1436 55 147 105 700S WENTWORTH AVE W 103RD ST
Cook CountyChicago,
0.31 7 27 2.71 58 970 77 39 137 355S CALIFORNIA AVE W 63RD ST
Cook CountyChicago,
0.27 7 27 3.01 76 523 77 39 155 231N PULASKI RD W DIVERSEY AVE
Cook CountyChicago,
0.27 9 8 2.17 71 627 100 9 179 111COUNTY FARM RD GENEVA RD
0.27 5 132 2.32 41 1761 53 167 97 806RIDGELAND AVE 211TH ST
0.26 6 55 1.45 33 2485 64 75 101 712RIDGELAND AVE 143RD ST
Cook County
0.26 6 55 3.84 85 374 69 55 166 148FLAVIN RD ARCHER AVE
Cook CountyWillow Springs,
0.26 4 305 3.83 58 970 45 317 108 632S CANAL ST W MADISON ST
Cook CountyChicago,
0.24 5 132 2.27 44 1575 55 147 101 791N MILWAUKEE AVE W CHICAGO AVE
Cook CountyChicago,
Cook CountyChicago,
0.24 6 55 1.97 47 1436 66 67 115 560S RACINE AVE W 87TH ST
Cook CountyChicago,
Cook CountyChicago,
0.23 6 55 1.68 43 1625 96 12 135 341IL-31 THREE OAKS RD
0.23 5 132 2.94 62 843 58 115 129 376S PULASKI RD W CERMAK RD
Cook CountyChicago,
0.23 10 4 3.06 126 78 119 4 237 29N CICERO AVE W BELMONT AVE
Cook CountyChicago,
0.21 4 305 1.97 35 2260 44 337 80 1281BELL RD MCCARTHY RD
Cook County
0.21 6 55 2.10 56 1046 63 78 118 521S CALIFORNIA AVE ARCHER AVE
Cook CountyChicago,
0.21 5 132 3.41 74 569 54 155 135 316E GALENA BLVD N BROADWAY
Kane CountyAurora,
40

CMAP Severity Index Ranking Calculated Using All Crashes. Intersections with the
Highest Value in Northeastern Illinois (2005-2006)
Severity Index*** Serious Crashes* Crashes
Total Rankª RankªTotalRateˆ
Crash Crash Crash Crash CrashIDOTCMAP
Value Rankª
IDOTCMAP
Value Rankª Rateˆ
Crash
Location
422 1 85 23 4 305 0.05 297 1 4.64
Cook CountyChicago,
S STONY ISLAND AVE S SOUTH CHICAGO AVE
384 2 104 7 7 27 0.10 257 2 4.13
Cook CountyChicago,
S STONY ISLAND AVE E 95TH ST
339 3 123 2 11 1 0.31 192 8 5.57
Will CountyJoliet,
IL-59 W CATON FARM RD
319 4 82 26 5 132 0.10 204 4 4.56
Will CountyJoliet,
LARKIN AVE JEFFERSON ST
300 5 75 42 6 55 0.45 191 9 14.68
W FRONTAGE RD E WOODFIELD RD
295 6 49 213 2 2277 0.02 198 6 3.75
Kane CountyCarpentersville,
RANDALL RD HUNTLEY RD
285 7 140 1 10 4 0.20 133 63 2.73
Kane CountyElgin,
RANDALL RD HIGGINS RD
259 8 23 1908 1 9565 0.01 198 6 2.49
DuPage CountyElmhurst,
IL-83 NORTH AVE
257 9 42 379 3 810 0.05 179 12 3.43
Cook CountyAlsip,
S CICERO AVE W 127TH ST
271 10 65 72 5 132 0.05 187 10 2.17
DuPage CountyOakbrook Terrace,
IL-83 W 22ND ST
249 11 57 126 5 132 0.08 166 18 3.08
DuPage CountyDowners Grove,
FINLEY RD BUTTERFIELD RD
247 12 31 926 2 2277 0.04 182 11 4.87
Lake CountyGurnee,
GRAND AVE HUNT CLUB RD
249 15 65 72 5 132 0.10 165 19 3.95
Cook CountyChicago,
N CICERO AVE W FULLERTON AVE
251 15 85 23 6 55 0.10 160 22 2.91
S HARLEM AVE W 79TH ST
249 15 86 21 7 27 0.20 145 39 4.49
Cook CountyChicago,
S HALSTED ST W 95TH ST
237 16 59 103 5 132 0.10 154 27 3.76
DuPage CountyGlendale Heights,
BLOOMINGDALE RD E ARMY TRAIL RD
243 17 29 1013 2 2277 NA 195 7 NA
Will CountyRomeoville,
W NORMANTOWN RD S WEBER RD
246 20 101 8 7 27 0.13 135 59 2.80
OAKTON RD E BUSSE RD
243 20 120 3 10 4 0.08 124 87 1.13
Cook CountyChicago,
S LAKE SHORE DR E MONROE DR
241 20 43 360 3 810 0.05 177 13 3.97
LINCOLN HWY CICERO AVE
236 21 5 9879 0 NA NA 216 3 NA
Cook CountyDes Plaines,
N BROADWAY ST GOLF RD
243 22 92 14 8 12 NA 145 39 NA
Cook CountyChicago,
S COTTAGE GROVE AVE E 87TH ST
232 23 87 20 5 132 0.20 121 99 5.20
Cook CountyChicago,
E 75TH STS SOUTH CHICAGO AVE
235 24 50 196 4 305 0.08 171 15 3.86
Cook CountyPalatine,
E DUNDEE RD N RAND RD
229 27 40 418 3 810 0.08 170 16 4.90
S LAKE ST IL-60
227 27 71 51 4 305 0.08 135 59 3.06
Kane CountyElgin,
N RANDALL RD BIG TIMBER RD
233 27 59 103 5 132 0.10 162 21 3.72
Cook CountyChicago,
N CICERO AVE W LAWRENCE AVE
41

CMAP Severity Index Ranking Calculated Using All Crashes. Intersections with the
Highest Value in Northeastern Illinois (2005-2006)
Crash Crash Crash Crash CrashIDOTCMAP
Value Rankª
IDOTCMAP
Value Rankª Rateˆ
Crash
Location
209 29 40 418 3 810 0.05 131 66 2.69
N ROSELLE RD E SCHAUMBURG RD
237 29 119 4 10 4 0.23 126 78 3.06
Cook CountyChicago,
N CICERO AVE W BELMONT AVE
42

IDOT Severity Index Ranking Calculated Using Only Fatal and Serious Injury Crashes.
Intersections with the Highest Value in Northeastern Illinois (2005-2006)
Crash Crash Crash Crash CrashCMAPIDOT
Value Rankª
CMAPIDOT
Value Rankª Rateˆ
Crash
Location
140 1 285 7 10 4 0.20 133 63 2.73
Kane CountyElgin,
RANDALL RD HIGGINS RD
123 2 339 3 11 1 0.31 192 8 5.57
Will CountyJoliet,
IL-59 W CATON FARM RD
120 3 243 20 10 4 0.08 124 87 1.13
Cook CountyChicago,
S LAKE SHORE DR E MONROE DR
119 4 237 29 10 4 0.23 126 78 3.06
Cook CountyChicago,
N CICERO AVE W BELMONT AVE
114 5 220 38 9 8 0.13 104 196 1.60
W OGDEN AVE RAYMOND
107 6 152 243 7 27 NA 51 1233 NA
Cook CountyChicago,
104 7 384 2 7 27 0.10 257 2 4.13
Cook CountyChicago,
S STONY ISLAND AVE E 95TH ST
101 8 246 20 7 27 0.13 135 59 2.80
OAKTON RD E BUSSE RD
100 9 179 111 9 8 0.27 71 627 2.17
COUNTY FARM RD GENEVA RD
99 10 201 59 9 8 0.13 94 274 1.56
Cook County
S ARCHER AVE 111TH ST
96 12 216 44 7 27 NA 114 134 NA
Cook CountyChicago,
96 12 135 341 6 55 0.23 43 1625 1.68
IL-31 THREE OAKS RD
94 13 192 72 9 8 NA 94 274 NA
Cook CountyChicago,
N CICERO AVE IL-64
92 14 243 22 8 12 NA 145 39 NA
Cook CountyChicago,
89 16 145 284 7 27 0.16 61 881 1.53
N RIVER RD W OGDEN AVE
89 16 186 85 8 12 0.20 86 354 2.28
Cook CountyElgin,
SHALES PKY LAKE ST
88 18 185 89 8 12 0.17 88 327 1.97
DuPage CountyOak Brook,
MEYERS RD BUTTERFIELD RD
88 18 223 36 5 132 0.09 134 62 2.91
Lake CountyLong Grove,
HICKS RD LAKE COOK RD
87 20 232 23 5 132 0.20 121 99 5.20
Cook CountyChicago,
E 75TH STS SOUTH CHICAGO AVE
87 20 169 142 8 12 NA 76 523 NA
Will CountyJoliet,
W CATON FARM RD W FRONTAGE RD
86 21 249 15 7 27 0.20 145 39 4.49
Cook CountyChicago,
S HALSTED ST W 95TH ST
85 23 422 1 4 305 0.05 297 1 4.64
Cook CountyChicago,
S STONY ISLAND AVE S SOUTH CHICAGO AVE
85 23 251 15 6 55 0.10 160 22 2.91
S HARLEM AVE W 79TH ST
84 24 167 134 6 55 0.17 74 569 2.21
Kane CountyElgin,
RANDALL RD BOWES RD
83 25 106 700 5 132 NA 33 2485 NA
Cook CountyChicago,
S HALSTED ST W 73RD ST
82 26 319 4 5 132 0.10 204 4 4.56
Will CountyJoliet,
LARKIN AVE JEFFERSON ST
81 28 170 148 6 55 0.15 89 315 2.34
Cook CountyChicago,
W IRVING PARK RD N CUMBERLAND AVE
43

IDOT Severity Index Ranking Calculated Using Only Fatal and Serious Injury Crashes.
Intersections with the Highest Value in Northeastern Illinois (2005-2006)
Crash Crash Crash Crash CrashCMAPIDOT
Value Rankª
CMAPIDOT
Value Rankª Rateˆ
Crash
Location
81 28 149 243 6 55 0.16 66 730 1.91
Cook CountyChicago,
N CALIFORNIA AVE W FULLERTON AVE
44

All Crashes: Intersections with the Highest Number of Crashes or Serious Crashes in
Location
All
Crashes
Rank
Severity Index(SI)***
All Types
of CrashesAll
Total IDOT SI
Serious*
Crashes
Rank**Total CMAP SI IDOT SI
Crash Type
123IL-59 W CATON FARM RD 11 1 192 8 123339
Joliet, Will County
140RANDALL RD HIGGINS RD 10 4 133 63 140285
Elgin, Kane County
119N CICERO AVE W BELMONT AVE 10 4 126 78 119237
Chicago, Cook County
120S LAKE SHORE DR E MONROE DR 10 4 124 87 120243
114W OGDEN AVE RAYMOND 9 8 104 196 114220
Naperville, DuPage County
94N CICERO AVE IL-64 9 8 94 274 94192
99S ARCHER AVE 111TH ST 9 8 94 274 99201
Cook County
100COUNTY FARM RD GENEVA RD 9 8 71 627 100179
Winfield, DuPage County
92S COTTAGE GROVE AVE E 87TH ST 8 12 145 39 92243
88MEYERS RD BUTTERFIELD RD 8 12 88 327 88185
Oak Brook, DuPage County
89SHALES PKY LAKE ST 8 12 86 354 89186
Elgin, Cook County
87W CATON FARM RD W FRONTAGE RD 8 12 76 523 87169
Joliet, Will County
104S STONY ISLAND AVE E 95TH ST 7 27 257 2 104384
75W FRONTAGE RD E WOODFIELD RD 6 55 191 9 75300
Schaumburg, Cook County
85S HARLEM AVE W 79TH ST 6 55 160 22 85251
Bridgeview, Cook County
82LARKIN AVE JEFFERSON ST 5 132 204 4 82319
Joliet, Will County
65IL-83 W 22ND ST 5 132 187 10 65271
Oakbrook Terrace, DuPage County
57FINLEY RD BUTTERFIELD RD 5 132 166 18 57249
Downers Grove, DuPage County
65N CICERO AVE W FULLERTON AVE 5 132 165 19 65249
59N CICERO AVE W LAWRENCE AVE 5 132 162 21 59233
85S STONY ISLAND AVE S SOUTH CHICAGO AVE 4 305 297 1 85422
46N 1ST AVE IL-64 4 305 173 14 46229
Melrose Park, Cook County
**The ranking system assignes the higher numeric value for tied quantities (tie for 4th and 5th = 5th). Lower numbers indicate increased risk.
Crashes are lisdted by the number of serious crashes and then by the total number of crashes
45

All Crashes: Intersections with the Highest Number of Crashes or Serious Crashes in
Location
All
Crashes
Rank
Severity Index(SI)***
All Types
of CrashesAll
Total IDOT SI
Serious*
Crashes
Rank**Total CMAP SI IDOT SI
Crash Type
50E DUNDEE RD N RAND RD 4 305 171 15 50235
Palatine, Cook County
52N WESTERN AVE W FULLERTON AVE 4 305 158 24 52223
42S CICERO AVE W 127TH ST 3 810 179 12 42257
Alsip, Cook County
43LINCOLN HWY CICERO AVE 3 810 177 13 43241
Matteson, Cook County
40S LAKE ST IL-60 3 810 170 16 40229
Mundelein, Lake County
34N PULASKI RD W IRVING PARK RD 3 810 168 17 34211
49RANDALL RD HUNTLEY RD 2 2277 198 6 49295
Carpentersville, Kane County
29W NORMANTOWN RD S WEBER RD 2 2277 195 7 29243
Romeoville, Will County
31GRAND AVE HUNT CLUB RD 2 2277 182 11 31247
Gurnee, Lake County
28N WESTERN AVE W ADDISON ST 2 2277 163 20 28204
24IL-59 NORTH 2 2277 158 24 24194
West Chicago, DuPage County
26IL-59 N AURORA RD 2 2277 155 25 26204
Naperville, DuPage County
23IL-83 NORTH 1 9565 198 6 23259
Elmhurst, DuPage County
5N BROADWAY ST GOLF RD 0 0 216 3 5236
Des Plaines, Cook County
**The ranking system assignes the higher numeric value for tied quantities (tie for 4th and 5th = 5th). Lower numbers indicate increased risk.
Crashes are lisdted by the number of serious crashes and then by the total number of crashes
46

Draft_intersection_analysisV7_20081220_optimize

Draft_intersection_analysisV7_20081220_optimize

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