January 26, 2017
WISE Software Proof-of-Concept
Smarter Work Zones Session
Subrat Mahapatra, MDOT – State Highway Administration
Broader Motivation for Work Zone Management (WZM)
• WZM identified as a key focus area in the MD 2016 TSM&O Strategic Implementation Plan
• Good institutional framework in-place for coordination/ collaboration
• Established processes in place for WZM at a project level (MOTAA, LCP, WZ Dashboard)
• Need to establish analysis tools and processes for WZM decision-support at a program level
Work Zone Management Context
• Increasing number & impacts of work zones
• Need for corridor or network-level planning
• Work Zone Safety & Mobility Rule (2004)
• State-level work zone safety & mobility• Work Zone Delay Policy
• Processes & Procedures
• Work Zone Impacts Assessment & Management
• Transportation Management Planning
Causes of Unreliability
The SHRP2 Reliability Focus Area research has attributed variability in travel time to seven primary causes:
• Incidents
• Weather
• Work zones
• Fluctuations in demand
• Special Events
• Traffic devices (signals)
• Inadequate base capacity
Work Zone Impacts & Strategies Estimator Software – WISE (R11)
Strategic Approaches at the Corridor and Network Levels to Minimize Disruption from the Renewal Process
• Multiple roadwork projects
• How they be coordinated to reduce combined traffic impacts?
• What strategies can help?
WISE Pilot Sites
Maryland R11 Proof-of-Concept
What is Optimal Schedule for These Work Zone Projects?
Work Zone Evaluation
• Work Zone Cost• Agency cost (construction)
• User cost (traffic delay)
• Agency Cost Evaluation• Work zone duration (number of months)
• Working mode (daytime or night work)
• User Cost Evaluation• Traffic congestion calculated via agent-based model
(AgBM) and dynamic traffic assignment (DTA) model
• Traveler’s value of time
• AgBM-DTA approach captures long-term user behavior change due to work zones
MD WISE AgBM-DTA Framework
Current Status of MD WISE Framework Development
• AgBM-DTA model• Background network, demand, and AgBM framework
(completed)
• DTA model calibration and validation with observed traffic data (completed)
• WISE Algorithm• Recode WISE (or other) Heuristic algorithm and work
zone cost evaluations to work with AgBM-DTA (in process)
• Model Demonstration• Future planned work zone data for real world case
demonstration (in process)
• Apply WISE AgBM-DTA for demo (in process)
Next Steps
• Streamline Work Zone Planning Business Process (as part of TSM&O Implementation)• Processes for using the WZ evaluation tool in Planning
Stages
• Processes for using WZ tool in Operational Stages
• Look for opportunities to test/ refine the WZ Tool with actual projects
• Develop user group/ stakeholder groups for training, outreach and future functionalities
• Integrate the WZ Tool with broader WZM initiatives in Maryland and broader region (EDC Smarter Work Zones, MATOC efforts, MDOT Excellerator etc.)
For More Information
• Subrat Mahapatra, Maryland SHA (State Lead)
– 410-545-5649
• Tom Jacobs, UMD CATT (Project Lead)
– 301-405-7328
• Dr. Lei Zhang, UMD NTC (Technical Lead)
– 301-405-2881