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)

– smahapatra@sha.state.md.us

– 410-545-5649

• Tom Jacobs, UMD CATT (Project Lead)

– tjacobs@umd.edu

– 301-405-7328

• Dr. Lei Zhang, UMD NTC (Technical Lead)

– lei@umd.edu

– 301-405-2881