Research highlights ► We analyze the impact of incidents on a transportation network and calculate delay. ► Incidents affect vehicles originating downstream, traversing or not the incident. ► Providing traveler information could greatly improve incident management practices. ► DTA provides a strong tool to agencies to improve their Incident Management plans.
Abstract This paper presents results from a research case study that examined the distribution of travel time of origin–destination (OD) pairs on a transportation network under incident conditions. Using a transportation simulation dynamic traffic assignment (DTA) model, incident on a transportation network is executed under normal conditions, incident conditions without traveler information availability, and incident conditions assuming that users had perfect knowledge of the incident conditions and could select paths to avoid the incident location. The results suggest that incidents have a different impact on different OD pairs. The results confirm that an effective traveler information system has the potential to ease the impacts of incident conditions network wide. Yet it is also important to note that the use of information may detriment some OD pairs while benefiting other OD pairs. The methodology demonstrated in this paper provides insights into the usefulness of embedding a fully calibrated DTA model into the analysis tools of a traffic management and information center.
A methodology to estimate travel time using dynamic traffic assignment (DTA) under incident conditions
Tramsportation Research, Part C: Emerging Technologies ; 19 , 6 ; 1215-1224
2011-02-04
10 pages
Article (Journal)
Electronic Resource
English
Traffic delay , Dynamic traffic assignment , Incident management , Travel time , Traveler information , ATIS , advanced traveler information systems , DTA , dynamic traffic assignment , DUE , dynamic user equilibrium , GIS , geography information system , HR , hour , ITS , intelligent transportation system , MIN , minutes , MSA , method of successive averages , NRD , non-recurring delay , OD , origin–destination , SO , system optimal , STD , standard deviation , TDSP , time-dependent shortest path , TT , travel time , UE , user equilibrium , VEH , vehicle , VH , vehicle hour , V/C , volume to capacity ratio , VISTA , visual interactive system for transport algorithms , VMT , vehicle miles traveled
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