Traffic delays due to incidents have been widely investigated for freewayfacilities. However, the impacts of incidents on signalized arterial streets have not been addressed in previous studies. To assess the benefits of incident management strategies, there is a need for models that predict incident delays taking into consideration the interactions between signal operations and incident operations on arterial streets. This paper investigates the impacts of the presence of signals on incident delays and discusses the development of a model to estimate incident delays on signalizedarterial streets based on results obtained using a microscopic simulationprogram. The results presented in this paper indicate that the delays due to incidents on arterial streets with signalized intersections are significantly higher than the same streets operating in uninterrupted flow conditions. The results also show that the incident delays increase with the increase in the density of the signalized intersections on these streets.These results highlight the importance of the developments of delay estimation models that are specific to signalized arterials. A regression model is presented in this paper for use to estimate the delay impacts of incidents on such facilities.
Samenvatting