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Volunteer Network of
Professionals Working Together to
Support, Promote, and Improve
Best Practices in the Application
of Traffic Simulation and
Capacity Analysis
Educational Meeting (#1)7/17/2018
Meeting Agenda
Overview of North Carolina SimCap
Application of Transportation Modeling & Simulation
in Planning and Decision-Making Process
Business Discussion
2
P1
P2
D
Overview of North Carolina SimCap
Bradley Reynolds
Kittelson & Associates, Inc
Soheil Sajjadi
Arcadis
Overview
•History & Context
•Organization, Size, & Operation
•Objectives
•Lessons Learned
7/17/2018 2
History & Context
•Why SimCap User Group?
•2006 Simulation Model Users Group
(SMUG)
•Part of NCSITETraffic Engineering Council
•How SMUG can help
•SMUG Mission Statement
•SMUG Future Initiatives
7/17/2018 3
History & Context
•Activities 2006 - Present
•Annual meetings
•Joint meetings
•Lunch & Learn meetings
•Webinars
•Task forces
•Surveys
•Support NCSITE
7/17/2018 4
Organization
•NCSITE
Board of Directors
•Councils
• Strategic Initiatives
• Consultant /Vendor
• Traffic Engineering (TEC)
• Transportation Planning
(TPC)
•TEC User Groups
• ITS/Tolls
• Signal Systems
• SimCap
•TPC User Groups
• NEPA
• Bicycle/Pedestrian
• Safety
http://ncsite.org/7/17/2018 5
NCSITE SimCap Leadership
simcap@ncsite.org
Soheil Sajjadi, P.E.
Soheil.Sajjadi@arcadis.com
Bradley Reynolds, P.E.
breynolds@kittelson.com
7/17/2018 6
Mission Statement (2006)
• Serve simulation model users by creating a resource of
information for all to use
• Serve transportation managers by providing
information to help make project level decisions
regarding modeling/simulation
• Serve transportation agencies to assist in developing
modeling practices acceptable statewide
• Serve as a central resource of information to all
interested parties at all levels of simulation use
7/17/2018 7
Objectives
•Develop professionals
•Strengthen relationships
•Advance the profession
•Reflect goals & mission of NCSITE &TEC
7/17/2018 8
Annual Activities
•1 half-day meeting
•1 lunch and learn
•1 joint gathering with peer organization
•Increase SimCap mailing list (~70 members)
•Support NCSITE annual meeting
7/17/2018 9
Lessons Learned
•Engage passionate, committed individuals
•Find common interests & goals
•Meet with a purpose (professional, social, etc.)
•Support network is key
•Encourage new ideas and approaches
•It’s a marathon, not a sprint
7/17/2018 10
Application of Transportation Modeling & Simulation in Planning and Decision-Making Process
Pong Wu
Capital Region Planning Commission
July 17, 2018
Application of Transportation Modeling &
Simulation in Planning and Decision-
Making Process
Overview
I. Modeling Area and Location
II. Traffic Counts and Data
III. Traffic Operation Modeling & Simulation (No-
Build vs. Build)
IV. Potential Crashes Simulation
V. Conclusion
I. Modeling Area and Location
Central Park Re-Combining
I. Modeling Area and Location
Central Park Re-Combining
Tools for Traffic Operation Modeling & Simulation
Following modeling related software was used in this planning and
traffic operation analysis
Traffic Count & Analysis
a. Conducted
intersection traffic
counts.
b. Performed traffic data
analysis for each
intersection including
identify:
• existing AM & PM peak
hour traffic turning
movements by
approach;
• Intersections’ peak
hour traffic volume
and,
• peak hour factors for
each intersection
II. Traffic Counts and Data
• Historical traffic counts
at study area were also
analyzed for growth
trend and
• Intersections annual
traffic growth rates as
well.
II. Traffic Counts
and Data
Traffic Count & Analysis
LOS “C” or better is
considered desirable in
the Mansfield urbanized
areas.
The operational efficiency of traffic is measured using
the concept of “Level of Service” (LOS) contained in
the “Highway Capacity Manual”
III. Traffic Operation Modeling & Simulation (No-Build vs. Build)
III. Traffic Operation Modeling & Simulation (No-Build vs. Build)
Street’s Segments Level of Service Analysis:
• With HCM method, the calculation of arterial’s segments level of
service is based on the information of the travel speed and travel time.
• The street’s travel time = running time signal delay+
• Arterial speed = the distance travel Time/
Based on the peak hour
traffic volume analysis.
Approach traffic,
intersection turning
movements at peak time
and total traffic in and out
at each intersection were
adjusted for the model
and simulation model
III. Traffic Operation
Modeling & Simulation
(No-Build vs. Build)
The modeling study with forecasting demand model identified the LOS changes to all adjacent
streets in the study area under No-Build and Build conditions.
III. Traffic Operation Modeling & Simulation (No-Build vs. Build)
The model forecasted traffic percentage changes on street segments between No-Build and
Build conditions.
III. Traffic Operation Modeling & Simulation (No-Build vs. Build)
III. Traffic Operation Modeling & Simulation (No-Build vs. Build)
Traffic Impact Study – OD Trips Analysis at Selected TAZ
Maps showing the
lines to and from each
zone, with thicker
lines representing
more trips, are known
as Desire Line Maps
HBSP Trips to/from TAZ containing Ontario Shopping Center Area
III. Traffic Operation Modeling & Simulation (No-Build vs. Build)
Traffic Impact
Study – OD Path
Analysis (No-Build
vs. Build)
Build Scenario
Determine the trips
coming from each place
or zone as they traverse
a specific link or a
preferred path to TAZ
containing the Central
Park
No-Build
LOS B
LOS A
LOS C
LOS E
LOS D
LOS F
5:00 PM
1. Average Speed Comparison - the average speed of a vehicle that has completely traversed the
link is calculated as the total travel distance divided by the total travel time (miles/hour),
No-Build Build
III. Traffic Operation Modeling & Simulation (No-Build vs. Build)
LOS B
LOS A
LOS C
LOS E
LOS D
LOS F
1. Average Speed Comparison - For each turning movement, the average speed of a vehicle that
has completely traversed the link is calculated as the total travel distance divided by the total
travel time for the turn movement at intersection (miles/hour),
Diamond-Adams
III. Traffic Operation Modeling & Simulation (No-Build vs. Build)
Simulation of Average Speed and Roadway LOS
Changes Under Build and No-Build Conditions in
Large Scale
No-BuildBuild
III. Traffic Operation Modeling & Simulation (No-Build vs. Build)
LOS B
LOS A
LOS C
LOS E
LOS D
LOS F
2. Travel Time Comparison - For each turning movement, average travel time for a vehicle to
traverse the link. Calculated as the total travel time for the specified turn movement divided by
the vehicle trips for the specified turning movement (Seconds/Vehicle).
No-Build Build
III. Traffic Operation Modeling & Simulation (No-Build vs. Build)
LOS B
LOS A
LOS C
LOS E
LOS D
LOS F
2. Travel Time Comparison - For each turning movement, average travel time for a vehicle to
traverse the link. Calculated as the total travel time for the specified turn movement divided by
the vehicle trips for the specified turning movement (Seconds/Vehicle).
Diamond-Adams
III. Traffic Operation Modeling & Simulation (No-Build vs. Build)
Potential Hot Spot Locations Identified by ModelTarget Area #1-
IV. Potential Crashes Simulation
Potential Crash Location & the Cause of Crash
Target Area #1
Potential Hot
Spot Location
Caused by
Limited Sight
Distance.
Target Area #1 -
IV. Crash Simulation
Target Area #1-
IV. Accident Simulation
a. The Linear Distance between Two Intersections (Center ) Is 170 Feet
Target Area #2 - Potential Crash Locations & the Cause of Crash
IV. Crash Simulation
Target Area #2
Weaving maneuver
and potential crash
caused by
insufficient length
of street.
IV. Accident Simulation
Target Area #2
Target Area #2-
IV. Crash Simulation
a. The Linear Distance between Two Intersections (Center ) is 164 Feet
Emergency
Deceleration
No Accelera.
Acceleration
2
4
1
8765
3Changing Lane Maneuvers &
Serial Accidents Identified
by Simulation
(4:10:19pm - 4:10:26:00pm)
b. Potential crash caused by insufficient length of street due to
weaving maneuver between closed intersections
IV. Crash Simulation
Target Area #2
IV. Crash Simulation
Target Area #3 - Potential Crash Locations & the Cause of Accident
IV. Accident Simulation
Target Area #3
Target Area #3-
IV. Accident Simulation
a. The Linear Distance between Two Intersections (Center ) Is 162 Feet
Emergency
Deceleration
No Accelera.
Acceleration
a2
Lane Change Maneuvers &
Serial Accidents Identified
by Simulation
(4:08:16pm - 4:08:25:00pm)
b2
b. Potential incident caused by insufficient length for weaving.
IV. Accident Simulation
Target Area #3
a1
Accident
One
b1
Accident
Two
b3
c1
Accident
Three
c2
V. Conclusion of Simulation Study
In planning process , the use of travel demand model and
simulation helps
• analyzing traffic impact and visualizing dynamic
network performance for proposed transportation
planning projects
• providing community and decision makers with sensible
information for transportation improvement decisions.
FHWA Traffic Simulation Modeling Guidelines and Tools
http://www.ops.fhwa.dot.gov/trafficanalysistools
Business Discussion
6
Charter (1/3)
7
Charter (2/3)
8
Charter (3/3)
9
Survey Results (1/4)
 Objectives: Please choose SimCap
Louisiana’s two most important
objectives
 Increase awareness of LADOTD
initiatives, national activities, and the
latest SimCap tools (64%)
 Provide educational opportunities to
learn of more appropriate and
efficient ways of conducting SimCap
analysis (64%)
7
(31%)
2
(9%)
4
(17%)
7
(30%)
3
(13%)
Increase awareness of state/federal initatives and SimCap Tools
Increase LADOTD communication to stakeholders
Provide a sharing forum
Provide educational opportunities
Become a mechanism to request education/training
10
Survey Results (2/4)
 Purpose of Educational Meetings:
Please choose the two most beneficial
activities you would like featured at
the educational meetings
 Training: internal or external speakers
provide training on specific SimCap
tools and software (64%)
 Peer experiences: practitioners present
on their experiences with a current
SimCap analysis method or tool (46%)
 Federal initiatives: external speakers
present on current, SimCap-related
FHWA projects, programs, initiatives,
or guidance documents (46%)
5
(21%)
5
(21%)
4
(17%)
2
(8%)
7
(29%)
1
(4%)
Peer experiences
Federal Initatives
State initatives
Research
Training
Professional societies
11
Survey Results (3/4)
 Topics at Educational Meetings:
Select the topic(s) you would like
discussed at the educational meetings
 SimCap studies to evaluate
mitigation/management strategies for
recurring congestion (64%)
 Guidance on the application of SimCap
tools (55%)
 SimCap studies to investigate the
impact of emerging technology (46%)
6
(24%)
1
(4%)
3
(12%)
3
(12%)
7
(28%)
5
(20%)
Guidance on the application of tools
SimCap studies to investigate non-recurring congestion
SimcCap studies to investigate recurring congestion
SimCap studies to evaluate strategies for non-recurrring congestion
SimCap studies to evaluate strategies for recurrring congestion
SimCap studies to investigate emerging technology
12
Survey Results (4/4)
 Tool-Specific Topics: Experience vs. interest level
 Experience mainly with: (1) traffic signal optimization, (2) HCM-based tools, and (3)
microscopic sim.
 Variety of topics of interest
 Top-Ranked: Traffic signal optimization
1.0
1.5
2.0
2.5
3.0
3.5
4.0
Sketch-planning Travel Demand HCM-based tools Traffic signal
optimization
Macroscopic sim. Mesoscopic sim. Microscopic sim.
Experience
Interest
 High Interest and greatest
knowledge gap: (1)
mesoscopic sim., (2)
macroscopic sim., and (3)
sketch-planning
THANK YOU FOR ALL
ATTENDING!!
Educational Meeting (#1)7/17/2018

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SimCap Louisiana Educational Meeting #1 Slides

  • 1. Volunteer Network of Professionals Working Together to Support, Promote, and Improve Best Practices in the Application of Traffic Simulation and Capacity Analysis Educational Meeting (#1)7/17/2018
  • 2. Meeting Agenda Overview of North Carolina SimCap Application of Transportation Modeling & Simulation in Planning and Decision-Making Process Business Discussion 2 P1 P2 D
  • 3. Overview of North Carolina SimCap Bradley Reynolds Kittelson & Associates, Inc Soheil Sajjadi Arcadis
  • 4.
  • 5. Overview •History & Context •Organization, Size, & Operation •Objectives •Lessons Learned 7/17/2018 2
  • 6. History & Context •Why SimCap User Group? •2006 Simulation Model Users Group (SMUG) •Part of NCSITETraffic Engineering Council •How SMUG can help •SMUG Mission Statement •SMUG Future Initiatives 7/17/2018 3
  • 7. History & Context •Activities 2006 - Present •Annual meetings •Joint meetings •Lunch & Learn meetings •Webinars •Task forces •Surveys •Support NCSITE 7/17/2018 4
  • 8. Organization •NCSITE Board of Directors •Councils • Strategic Initiatives • Consultant /Vendor • Traffic Engineering (TEC) • Transportation Planning (TPC) •TEC User Groups • ITS/Tolls • Signal Systems • SimCap •TPC User Groups • NEPA • Bicycle/Pedestrian • Safety http://ncsite.org/7/17/2018 5
  • 9. NCSITE SimCap Leadership simcap@ncsite.org Soheil Sajjadi, P.E. Soheil.Sajjadi@arcadis.com Bradley Reynolds, P.E. breynolds@kittelson.com 7/17/2018 6
  • 10. Mission Statement (2006) • Serve simulation model users by creating a resource of information for all to use • Serve transportation managers by providing information to help make project level decisions regarding modeling/simulation • Serve transportation agencies to assist in developing modeling practices acceptable statewide • Serve as a central resource of information to all interested parties at all levels of simulation use 7/17/2018 7
  • 11. Objectives •Develop professionals •Strengthen relationships •Advance the profession •Reflect goals & mission of NCSITE &TEC 7/17/2018 8
  • 12. Annual Activities •1 half-day meeting •1 lunch and learn •1 joint gathering with peer organization •Increase SimCap mailing list (~70 members) •Support NCSITE annual meeting 7/17/2018 9
  • 13. Lessons Learned •Engage passionate, committed individuals •Find common interests & goals •Meet with a purpose (professional, social, etc.) •Support network is key •Encourage new ideas and approaches •It’s a marathon, not a sprint 7/17/2018 10
  • 14. Application of Transportation Modeling & Simulation in Planning and Decision-Making Process
  • 15. Pong Wu Capital Region Planning Commission July 17, 2018 Application of Transportation Modeling & Simulation in Planning and Decision- Making Process
  • 16. Overview I. Modeling Area and Location II. Traffic Counts and Data III. Traffic Operation Modeling & Simulation (No- Build vs. Build) IV. Potential Crashes Simulation V. Conclusion
  • 17. I. Modeling Area and Location Central Park Re-Combining
  • 18. I. Modeling Area and Location Central Park Re-Combining
  • 19. Tools for Traffic Operation Modeling & Simulation Following modeling related software was used in this planning and traffic operation analysis
  • 20. Traffic Count & Analysis a. Conducted intersection traffic counts. b. Performed traffic data analysis for each intersection including identify: • existing AM & PM peak hour traffic turning movements by approach; • Intersections’ peak hour traffic volume and, • peak hour factors for each intersection II. Traffic Counts and Data
  • 21. • Historical traffic counts at study area were also analyzed for growth trend and • Intersections annual traffic growth rates as well. II. Traffic Counts and Data Traffic Count & Analysis
  • 22. LOS “C” or better is considered desirable in the Mansfield urbanized areas. The operational efficiency of traffic is measured using the concept of “Level of Service” (LOS) contained in the “Highway Capacity Manual” III. Traffic Operation Modeling & Simulation (No-Build vs. Build)
  • 23. III. Traffic Operation Modeling & Simulation (No-Build vs. Build) Street’s Segments Level of Service Analysis: • With HCM method, the calculation of arterial’s segments level of service is based on the information of the travel speed and travel time. • The street’s travel time = running time signal delay+ • Arterial speed = the distance travel Time/
  • 24. Based on the peak hour traffic volume analysis. Approach traffic, intersection turning movements at peak time and total traffic in and out at each intersection were adjusted for the model and simulation model III. Traffic Operation Modeling & Simulation (No-Build vs. Build)
  • 25. The modeling study with forecasting demand model identified the LOS changes to all adjacent streets in the study area under No-Build and Build conditions. III. Traffic Operation Modeling & Simulation (No-Build vs. Build)
  • 26. The model forecasted traffic percentage changes on street segments between No-Build and Build conditions. III. Traffic Operation Modeling & Simulation (No-Build vs. Build)
  • 27. III. Traffic Operation Modeling & Simulation (No-Build vs. Build) Traffic Impact Study – OD Trips Analysis at Selected TAZ Maps showing the lines to and from each zone, with thicker lines representing more trips, are known as Desire Line Maps HBSP Trips to/from TAZ containing Ontario Shopping Center Area
  • 28. III. Traffic Operation Modeling & Simulation (No-Build vs. Build) Traffic Impact Study – OD Path Analysis (No-Build vs. Build) Build Scenario Determine the trips coming from each place or zone as they traverse a specific link or a preferred path to TAZ containing the Central Park No-Build
  • 29. LOS B LOS A LOS C LOS E LOS D LOS F 5:00 PM 1. Average Speed Comparison - the average speed of a vehicle that has completely traversed the link is calculated as the total travel distance divided by the total travel time (miles/hour), No-Build Build III. Traffic Operation Modeling & Simulation (No-Build vs. Build)
  • 30. LOS B LOS A LOS C LOS E LOS D LOS F 1. Average Speed Comparison - For each turning movement, the average speed of a vehicle that has completely traversed the link is calculated as the total travel distance divided by the total travel time for the turn movement at intersection (miles/hour), Diamond-Adams III. Traffic Operation Modeling & Simulation (No-Build vs. Build)
  • 31. Simulation of Average Speed and Roadway LOS Changes Under Build and No-Build Conditions in Large Scale No-BuildBuild III. Traffic Operation Modeling & Simulation (No-Build vs. Build)
  • 32. LOS B LOS A LOS C LOS E LOS D LOS F 2. Travel Time Comparison - For each turning movement, average travel time for a vehicle to traverse the link. Calculated as the total travel time for the specified turn movement divided by the vehicle trips for the specified turning movement (Seconds/Vehicle). No-Build Build III. Traffic Operation Modeling & Simulation (No-Build vs. Build)
  • 33. LOS B LOS A LOS C LOS E LOS D LOS F 2. Travel Time Comparison - For each turning movement, average travel time for a vehicle to traverse the link. Calculated as the total travel time for the specified turn movement divided by the vehicle trips for the specified turning movement (Seconds/Vehicle). Diamond-Adams III. Traffic Operation Modeling & Simulation (No-Build vs. Build)
  • 34. Potential Hot Spot Locations Identified by ModelTarget Area #1- IV. Potential Crashes Simulation
  • 35. Potential Crash Location & the Cause of Crash Target Area #1 Potential Hot Spot Location Caused by Limited Sight Distance. Target Area #1 - IV. Crash Simulation
  • 36. Target Area #1- IV. Accident Simulation a. The Linear Distance between Two Intersections (Center ) Is 170 Feet
  • 37. Target Area #2 - Potential Crash Locations & the Cause of Crash IV. Crash Simulation
  • 38. Target Area #2 Weaving maneuver and potential crash caused by insufficient length of street. IV. Accident Simulation Target Area #2
  • 39. Target Area #2- IV. Crash Simulation a. The Linear Distance between Two Intersections (Center ) is 164 Feet
  • 40. Emergency Deceleration No Accelera. Acceleration 2 4 1 8765 3Changing Lane Maneuvers & Serial Accidents Identified by Simulation (4:10:19pm - 4:10:26:00pm) b. Potential crash caused by insufficient length of street due to weaving maneuver between closed intersections IV. Crash Simulation Target Area #2
  • 41. IV. Crash Simulation Target Area #3 - Potential Crash Locations & the Cause of Accident
  • 43. Target Area #3- IV. Accident Simulation a. The Linear Distance between Two Intersections (Center ) Is 162 Feet
  • 44. Emergency Deceleration No Accelera. Acceleration a2 Lane Change Maneuvers & Serial Accidents Identified by Simulation (4:08:16pm - 4:08:25:00pm) b2 b. Potential incident caused by insufficient length for weaving. IV. Accident Simulation Target Area #3 a1 Accident One b1 Accident Two b3 c1 Accident Three c2
  • 45. V. Conclusion of Simulation Study In planning process , the use of travel demand model and simulation helps • analyzing traffic impact and visualizing dynamic network performance for proposed transportation planning projects • providing community and decision makers with sensible information for transportation improvement decisions.
  • 46. FHWA Traffic Simulation Modeling Guidelines and Tools http://www.ops.fhwa.dot.gov/trafficanalysistools
  • 47.
  • 52. 9 Survey Results (1/4)  Objectives: Please choose SimCap Louisiana’s two most important objectives  Increase awareness of LADOTD initiatives, national activities, and the latest SimCap tools (64%)  Provide educational opportunities to learn of more appropriate and efficient ways of conducting SimCap analysis (64%) 7 (31%) 2 (9%) 4 (17%) 7 (30%) 3 (13%) Increase awareness of state/federal initatives and SimCap Tools Increase LADOTD communication to stakeholders Provide a sharing forum Provide educational opportunities Become a mechanism to request education/training
  • 53. 10 Survey Results (2/4)  Purpose of Educational Meetings: Please choose the two most beneficial activities you would like featured at the educational meetings  Training: internal or external speakers provide training on specific SimCap tools and software (64%)  Peer experiences: practitioners present on their experiences with a current SimCap analysis method or tool (46%)  Federal initiatives: external speakers present on current, SimCap-related FHWA projects, programs, initiatives, or guidance documents (46%) 5 (21%) 5 (21%) 4 (17%) 2 (8%) 7 (29%) 1 (4%) Peer experiences Federal Initatives State initatives Research Training Professional societies
  • 54. 11 Survey Results (3/4)  Topics at Educational Meetings: Select the topic(s) you would like discussed at the educational meetings  SimCap studies to evaluate mitigation/management strategies for recurring congestion (64%)  Guidance on the application of SimCap tools (55%)  SimCap studies to investigate the impact of emerging technology (46%) 6 (24%) 1 (4%) 3 (12%) 3 (12%) 7 (28%) 5 (20%) Guidance on the application of tools SimCap studies to investigate non-recurring congestion SimcCap studies to investigate recurring congestion SimCap studies to evaluate strategies for non-recurrring congestion SimCap studies to evaluate strategies for recurrring congestion SimCap studies to investigate emerging technology
  • 55. 12 Survey Results (4/4)  Tool-Specific Topics: Experience vs. interest level  Experience mainly with: (1) traffic signal optimization, (2) HCM-based tools, and (3) microscopic sim.  Variety of topics of interest  Top-Ranked: Traffic signal optimization 1.0 1.5 2.0 2.5 3.0 3.5 4.0 Sketch-planning Travel Demand HCM-based tools Traffic signal optimization Macroscopic sim. Mesoscopic sim. Microscopic sim. Experience Interest  High Interest and greatest knowledge gap: (1) mesoscopic sim., (2) macroscopic sim., and (3) sketch-planning
  • 56. THANK YOU FOR ALL ATTENDING!! Educational Meeting (#1)7/17/2018