Development of a Traffic Management Decision Support Tool for Secondary Route Awareness Phase III: An Incident Duration and Impact Prediction (IDIP) System
To effectively contend with day-to-day, non-recurrent congestion due to traffic incidents, Maryland Department of Transportation State Highway Administration (MDOT SHA) Office of Transportation Mobility and Operations (OTMO), has worked with the research team from the Traffic Safety and Operations Laboratory over the past three years to develop a traffic management decision support tool known as the Incident Duration and Impacts Prediction (IDIP) system, for Freeway Incident Traffic Management (FITM) plan deployment and the Secondary Route Awareness (SRA) support. As with most technological products, the development process for such an innovative IDIP system started with the initial phase of concept proof with I-95, followed by the Phase-II focus of prototype construction based on the CHART’s incident records for I-495, I-695, I-70, and US29. Some preliminary but promising results from the first two phases offer the support for the development team to progress the IDIP system to its third phase of refinement, generalization, and deployment. The primary objective of this study is to finalize the development of the IDIP system for CHART to reliably project the impacts of an incident, from detection to clearance, on its subject freeway and neighboring local networks.
Language
- English
Project
- Status: Completed
- Funding: $182478
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Contract Numbers:
SPR21B4B
SPR21C4B
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Sponsor Organizations:
Maryland Department of Transportation State Highway Administration
707 North Calvert Street
Baltimore, MD United States 21202 -
Managing Organizations:
Maryland Department of Transportation
State Highway Administration, Office of Policy and Research
707 North Calvert Street
Baltimore, MD United States 21202 -
Project Managers:
Herrera Riggs, Saskia
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Performing Organizations:
University of Maryland College Park, Department of Civil and Environmental Engineering
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Principal Investigators:
Chang, Gang-Len
- Start Date: 20210219
- Expected Completion Date: 20230331
- Actual Completion Date: 20230508
Subject/Index Terms
- TRT Terms: Decision support systems; Incident management; Traffic control
- Subject Areas: Data and Information Technology; Highways; Operations and Traffic Management; Planning and Forecasting; Safety and Human Factors;
Filing Info
- Accession Number: 01866360
- Record Type: Research project
- Source Agency: Maryland State Highway Administration
- Contract Numbers: SPR21B4B, SPR21C4B
- Files: RIP
- Created Date: Dec 1 2022 10:57AM