TransInfo Symposium, 08/13/2015
Incident Response System to Assist Active
Traffic Management in Northern Virginia
Shanjiang Zhu, Ph.D., Assistant Professor
Dept. of Civil, Environmental and Infrastructure Engineering
George Mason University
1
Challenges in Northern Virginia
The Most Congested Metropolitan Area according to Annual
Urban Mobility Report by TTI
2
Broader Motivations
• HB2: statewide prioritization process for project
selection
• HB 2313: new state and regional funds for
transportation projects
• HB 599: highway and transit projects be evaluated
for their ability to reduce daily congestion and to
improve regional mobility during a homeland
security incident
• MAP-21: establishment of performance- and
outcome-based program
• New policy initiatives in many countries that require
careful evolutions
3
Active Traffic Management along I-66
4
Traffic Incidents in Northern Virginia
Incident Duration
Percentage
50.00%
40.00%
30.00%
Totally 20255 incidents in 2013
2013
2014
20.00%
10.00%
0.00%
Duration in Minutes
5
Challenges in Northern Virginia
6
Objectives
Demand model:
•
•
•
Behavioral reactions in an integrated framework
Heterogeneous travelers
Multiple vehicle/traveler classes
Supply model
•
•
Sensitivity to policies and traffic management
improvement
Computational efficiency
Build an integrated modeling framework to support
analysis of ATM strategies/policies/investment
decisions.
7
Methodology
MWCOG
Planning Model
Simulation-based DTA for Sub-OD Estimation
Sub-Area Travel
Demand
Traffic Counts
Speed Profile
Dynamic OD Estimation
Dynamic OD
Dynamic Routing
Calibration
Validation
Behavioral
Adjustment/Mana
gement Strategies
Incident Scenarios
Dynamic
Network Supply
Models
Simulated Network
Performance
Support Decision Making
8
Methodology
MWCOG Regional
Planning Model
DTALite Model
Simulation-based DTA
by Vehicle Classes
Subarea Model
with HOV3+, HOV2, trucks, and
SOV ODs
Boundary Speed
Profiles
Dynamic OD
Estimation
Subarea Baseline Model
in DTALite
Micro-simulation
Model under
TransModeler
Signal Plans in
Synchro
Dynamic OD
Estimation
Subarea Baseline Model
in TransModeler
Scenarios Test
and Analysis
9
Mesoscopic Model for Northern Virginia
10
Time-dependent OD Adjustment
11
Boundary Conditions
Boundary Speed Profile at EB 66
80
80
70
70
60
60
Speed (mph)
Speed (mph)
Boundary Speed Profile at WB 66
50
40
30
20
50
40
30
20
10
10
0
0
Time (Hour)
Time (Hour)
Speed profile from INRIX, weekdays, August 2014
12
Findings
Speed Contour I-66 West
13
Shoulder Lane for Incident Mitigation
One hour incident with two lane
closure on I-66 West Bound near
US50
Open shoulder lane for 30 mins
Open shoulder lane for 60 mins
14
Ongoing Research (I-66 ATM)
15
Preliminary Conclusions
• Developed an integrated mesoscopic model for a
challenging area.
• Developed a stratified calibration process
• Model is sensitive to management strategies under
incident scenarios
Ongoing Work:
• Develop rerouting model based on field
observations
• Develop a chart for different scenarios to support
ATM decision making
• Integrate traffic incidents in planning process
16
Acknowledgement
Dr. Mohan Venigalla, Meredith Jackson Morgan, Guanqi Liu,
Zhuo Yang, Javier A Revilla and Kelsey Ryan
17
Thank You!
Questions and Comments?
Shanjiang Zhu, Ph.D., Assistant Professor
Civil, Environmental & Infrastructure Engineering
George Mason University
szhu3@gmu.edu
http://civil.gmu.edu/people/shanjiang-zhu/
18