Development of a Traffic Management Decision Support Tool for Freeway Incident Traffic Management (FITM) Plan Deployment Phase 3: An Incident Duration and Impact Prediction (IDIP) System [Research Summary]
Chang, G. L. (2025). Development of a Traffic Management Decision Support Tool for Freeway Incident Traffic Management (FITM) Plan Deployment Phase 3: An Incident Duration and Impact Prediction (IDIP) System [Research Summary] (Report No. MD-21-SHA/UM/6-1). Maryland Department of Transportation. State Highway Administration. https://rosap.ntl.bts.gov/view/dot/79836
Chang, Gang-Len. Development of a Traffic Management Decision Support Tool for Freeway Incident Traffic Management (FITM) Plan Deployment Phase 3: An Incident Duration and Impact Prediction (IDIP) System [Research Summary]. Report no. MD-21-SHA/UM/6-1. Maryland Department of Transportation. State Highway Administration, 2025. https://rosap.ntl.bts.gov/view/dot/79836.
Chang, Gang-Len Development of a Traffic Management Decision Support Tool for Freeway Incident Traffic Management (FITM) Plan Deployment Phase 3: An Incident Duration and Impact Prediction (IDIP) System [Research Summary]. Maryland Department of Transportation. State Highway Administration, 2025, Report no. MD-21-SHA/UM/6-1, ROSA P. https://rosap.ntl.bts.gov/view/dot/79836.
The primary goal of this study is to finalize the IDIP system’s development so that CHART can reliably project the impacts of a detected incident, from detection to clearance, on its target freeway and neighboring local networks. With all essential functions developed in this phase for IDIP, CHART’s incident response team can conveniently estimate the required clearance duration for a detected incident, reliably project its maximum traffic queue distance during the response operations, and project the likely distribution of the freeway traffic detouring to the local streets during the same period. Note that IDIP’s functions are developed with all field operational and information constraints in mind so that they can provide reliable and robust estimation for freeway segments with insufficient or unreliable surveillance systems.
This phase of the study has finalized the innovative system for real-time prediction of a detected incident’s duration and its potential traffic impac
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Chang, G. L. (2025). Development of a Traffic Management Decision Support Tool for Freeway Incident Traffic Management (FITM) Plan Deployment Phase 3: An Incident Duration and Impact Prediction (IDIP) System [Research Summary] (Report No. MD-21-SHA/UM/6-1). Maryland Department of Transportation. State Highway Administration. https://rosap.ntl.bts.gov/view/dot/79836
Chang, Gang-Len. Development of a Traffic Management Decision Support Tool for Freeway Incident Traffic Management (FITM) Plan Deployment Phase 3: An Incident Duration and Impact Prediction (IDIP) System [Research Summary]. Report no. MD-21-SHA/UM/6-1. Maryland Department of Transportation. State Highway Administration, 2025. https://rosap.ntl.bts.gov/view/dot/79836.
Chang, Gang-Len Development of a Traffic Management Decision Support Tool for Freeway Incident Traffic Management (FITM) Plan Deployment Phase 3: An Incident Duration and Impact Prediction (IDIP) System [Research Summary]. Maryland Department of Transportation. State Highway Administration, 2025, Report no. MD-21-SHA/UM/6-1, ROSA P. https://rosap.ntl.bts.gov/view/dot/79836.
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