This document discusses measuring traffic flow characteristics at mid-block sections. It begins with an introduction to traffic system objectives like travel time reduction and safety. It then describes procedures for measuring traffic flow using point measurements, short section measurements, and a moving observer method. Key traffic flow variables are defined including flow, density, speed, headway and spacing. Fundamental relationships between these variables are presented, as well as traffic flow models like Greenshield's model.
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MEASURING TRAFFIC FLOW MID-BLOCK
1. MEASUREMENT OF TRAFFIC FLOW
CHARACTERISTICS AT MID-BLOCK SECTIONS
Dr. Shriniwas Arkatkar, Associate Professor, CED, SVNIT
P.G. CENTRE IN TRANSPORTATION ENGG. PLANNING
DEPARTMENT OF CIVIL ENGINEERING
SVNIT, SURAT
2. Outline of the Talk
Introduction
Measurement Procedures
Traffic Flow Characteristics at mid-block
Time space diagram
Fundamental diagram of traffic flow
Traffic flow models
Summary and Points for Discussion
Measurement of Traffic Flow Characteristics at mid-block sections 17-Feb-23
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3. Traffic System Objectives
Travel Time Reduction (Speed)
Reduce Congestion (Increase Efficiency)
Safety
Economy
Mobility
Environmental Effects
Energy Consumption
Equity
Growth
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4. Achieving traffic system objectives:
1. To understand, represent and analyze traffic
flow characteristics under various design and
control parameters
2. Select design and control levels to meet
objectives
Iterative processes….
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5. Major Traffic Flow Characteristics
Traffic flow is a time-space phenomenon
Highly non-linear system response
Different Inputs lead to the same output
Same input may lead to different outputs
Complex Interactions
Speed
Acceleration / Deceleration
Lateral placement
Longitudinal position
Conflicting Objectives
Speed differential versus safety
Efficiency versus speed
LOS versus infrastructure utilization
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6. Measurement Procedures
Advancements in Measurement capabilities
Influencing interest in traffic flow analysis
Measurement of Traffic Flow Characteristics at mid-block sections
Measurement at a point
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10. Measurement Procedures..
Measurement of Traffic Flow Characteristics at mid-block sections
Measurement over a length of road Example-2
Km
5.200
Km
5.500
Km
5.700 Km
5.900
5 % Gradient on National
Highway No. 4 near Pune,
Maharashtra
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13. Measurement Procedures..
Measurement of Traffic Flow Characteristics at mid-block sections
Observer moving in the traffic stream
Speed – Time profile
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14. Measurement Procedures..
Measurement of Traffic Flow Characteristics at mid-block sections
Observer moving in the traffic stream
Speed – Distance profile
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15. Measurement Procedures..
Measurement of Traffic Flow Characteristics at mid-block sections
Wide-area samples obtained simultaneously
from a number of vehicles, as part of Intelligent
Transportation Systems (ITS)
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16. Traffic Variables of Interest
Rates of flow (vehicles per unit time);
Speeds (distance per unit time);
Travel time over a known length of road (or sometimes the
inverse of speed, is used);
Occupancy (percent of time a point on the road is occupied
by vehicles);
Density (vehicles per unit distance);
Time headway between vehicles (time per vehicle);
Spacing, or space headway between vehicles (distance
per vehicle);
Concentration (measured by density or occupancy).
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17. Data Collection Methods
Probe
vehicle
Tfc
Data
Point
Based
Radar
O-D counts
Loop detectors
enoscope
videographic
Area
Based
Video
Aerial Photography
License plate
Stream
Based
Moving
observer
Floating
car
Two fluid
method
Measurement of Traffic Flow Characteristics at mid-block sections 17-Feb-23
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18. time
space
t T
L
Measurement of Traffic Flow Characteristics at mid-block sections
Time-Space Diagram
Point Measurement
Short Section
Measurement
Measurement
along the road
length
Moving Observer
beyond road length
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19. Microscopic Traffic Variables
Microscopic:
Focuses on elemental unit–individual vehicles
And Interactions with neighbors
Discrete particle model
Decisions of interest:
Overtaking
Lane-changing
Vehicle following
Gap acceptance
Placement
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21. Plotting of Grid lines
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• Lateral points are of 1m interval
• Longitudinal points are of 5m interval
22. Plotting of Grid lines…
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• Grid lines were plotted in AutoCAD
• Saved as image file
AutoCAD drawing
Image file (.jpg format)
23. Overlaying of Grid
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Overlaying the grid image into video file using Ulead Video Converter
25. Extraction of frames using Irfan View
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26. Extracted data in excel sheet
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• Noted the coordinates, frame number etc. in excel sheet.
27. 4. Extracted data in excel sheet
• Noted the coordinates, frame number etc. in excel sheet.
• Raw data file: 2. it corridor2. 1st input(example).xlsx
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27 Measurement of Traffic Flow Characteristics at mid-block sections
28. Time-Space Diagram: Analysis
at a Fixed Position
h1
h2 h4
h3
T time
position
0
0
L
x
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29. Time-Space Diagram: Analysis
at a Fixed Time
t
s1
s2
L
0
time
position
t0
Measurement of Traffic Flow Characteristics at mid-block sections
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30. Macroscopic Traffic Variables
Focus on stream characteristics
Aggregation of individual vehicle properties
Applied to model overall stream features such
as congestion, delays approximately.
Computationally easier
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31. Terminologies in Traffic Engineering
1. Density(K): Number of vehicles present in a stated
length of road at an instant. Expressed as
vehicles/unit of length(veh/km)
2. Flow(q): Number of vehicles passing a specified point
during a stated period of time. Expressed as
vehicles/unit of time(veh/hr)
3. Time headway (h): Time interval between the passage
of the fronts of successive vehicles at a specified
point. Measured in seconds.
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32. 4. Space headway(s): Distance between the fronts
of successive vehicles. Measured in meters.
5. Speed(v): Distance travelled per unit time.
6. Spacing(s): The centre to centre distance
between any two consecutive vehicles in motion.
7. Clearance(c) : Distance from end of one vehicle
to the front of other following vehicle.
8. Occupancy : Percentage of time that the
detection zone of the instrument is occupied by a
vehicle.
Measurement of Traffic Flow Characteristics at mid-block sections
Terminologies in Traffic Engineering.
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36. • Speed (v) –m/sec or mph or km/h
• Flow (q) – veh/sec or vph
• Density (k) – veh/ft or vpm or v/km
• Spacing (s) – ft/veh or meter/veh
• Headway (h) – sec/veh
• Clearance (c) – ft/veh or meter/veh
• Gap (g) – sec/veh
Measurement of Traffic Flow Characteristics at mid-block sections
Remember Units are Critical!
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37. Comparison of Micro and Macro
Traffic Flow Characteristics
Microscopic
Time headway – (h)
Spacing –(s)
Speed – (v)
Macroscopic
Volume (Q)
Density (K)
Speed (V)
Time Aggregated
Space Aggregated
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Measurement of Traffic Flow Characteristics at mid-block sections
38. Fundamental Relationships
• q = k v
(veh/hr) = (veh/km) (km/hr)
• h = 1 / q
(sec/veh) = 1 / (veh/hr) (3600)
• s = 1 / k
(m/veh) = 1 / (veh/km) (1000)
What are the assumptions for these relationships?
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39. Assumptions: Traffic Relationships
h and s are constant over entire stretch
h and s are constant over time
h and s are identical across drivers
Under these assumptions v = s/h = Q/K
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Measurement of Traffic Flow Characteristics at mid-block sections
40. Speeds: TMS and SMS
• Time mean speed (TMS): Average of the speed
measurements at one point in space over a
period of time.
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t
x
1 2
3
4
v4
A x x
x x
41. Travel Time Averaged Speed (SMS)
i
i
i
i
i
s
t
V
t
V 1
_
i
i
i
i
i
i
i
i
s
V
l
l
V
l
V
V
l
V
/
/
)
/
(
1
_
i
i
i
i
V
n
V
n
)
/
1
(
1
1
/
1
Harmonic Mean of Speeds = Reciprocal of Arithmetic mean of 1/Speeds
However, if you measure at a single point by say radar and take
harmonic mean, the result may not give space mean speed. Why?
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Measurement of Traffic Flow Characteristics at mid-block sections
42. 17-Feb-23
Measurement of Traffic Flow Characteristics at mid-block sections
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Travel Time Averaged Speed (SMS)
t
x
1 2
3
4
v4
A x
B
t = T
t = 0
t1
t2
t3
l3
L
i
i
i
i
i
s
t
V
t
V 1
_
3
2
1
3
1
_
t
t
t
l
L
L
V s
43. Instantaneous Space Mean Speed
Suppose you can take a snapshot of all vehicles
in a stretch of a highway at some point in time.
Take the average of speeds of all vehicles in the
snapshot at that instant of time
t
time
of
t
ins
that
at
stretch
that
in
present
vehicles
only
represents
i
Here
n
t
V
V
i
i
s
tan
)
(
2
_
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Measurement of Traffic Flow Characteristics at mid-block sections
44. Instantaneous Space Mean Speed
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Measurement of Traffic Flow Characteristics at mid-block sections
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t
x
1 2
3
4
v4
T0
x
x
x
x
45. Estimation of volume and travel time
using moving observer method
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46. Estimation of Travel time on two-lane road
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47. Problem (Travel Time)
The following tables give the particulars collected for a
section of road 3.5 km long during the course of a
moving observer study. Calculate the journey speed and
running speed in each direction.
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Run
No
Journey Time Stopped
Delay
Overtaking
vehicles
Overtaken
vehicles
Opposite
Direction
Flow
min sec min sec
1 8 32 1 40 4 7 268
2 7 50 1 30 5 5 350
3 8 15 1 10 6 6 390
4 9 28 1 50 4 5 260
Table 1: North-South Direction:
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48. Traffic Volumes on all routes
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52. Fundamental Traffic Flow Diagram
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53. Fundamental Traffic Flow Diagram
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54. Fundamental diagram of traffic flow
(flow vs. density)
Measurement of Traffic Flow Characteristics at mid-block sections 17-Feb-23
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Flow
(q)
Density (k)
Optimal flow
or capacity,qmax
Optimal
density, ko
Jam density,
kj
Mean free flow speed, uf
Optimal speed, uo
Speed is the
slope. u = q/k
Congested
flow
55. Greenshield’s Model
Assume a linear relationship between v and k:
High Density = Low
Speed
Low Density = High
Speed
vf
kj
k
k
v
v
v
j
f
f
Measurement of Traffic Flow Characteristics at mid-block sections 17-Feb-23
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58. Greenshield’s model
k
k
u
u
u
j
f
f
s
2
k
k
u
k
u
k
u
q
j
f
f
s
Nice characteristics of the Greenshield’s model:
2
f
o
u
u
2
j
o
k
k
4
max
f
ju
k
q
This model works for all k = 0 to k = kj
Measurement of Traffic Flow Characteristics at mid-block sections 17-Feb-23
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60. Example-1
Assuming a linear v-k relationship, the mean free speed
is 60 mph near zero density, and the corresponding jam
density is 140 vpm. Assume the average length of
vehicles is 20 ft. Find:
v(k) and q(k)
Sketch v-k, v-q, and q-k diagrams
Compute v and k at q=1000 vph
Compute the average headway, spacings,
clearances, and gaps when the flow is maximum
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61. Example-2
Given that the relationship between and
density obtained from the actual data is
Estimate all the macroscopic and microscopic
parameters
k
u 24
.
0
5
.
54
Measurement of Traffic Flow Characteristics at mid-block sections 17-Feb-23
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