Woon Kim

TL;DR: In this paper, the authors developed a model for estimating and predicting traffic incident duration and identifying variables influencing the incident duration in the state of Maryland by using classification trees (CT) for a preliminary analysis to understand the influence of the variables associated with an incident.

TL;DR: A multicriterion decision support system to assist traffic managers in effectively making decisions in real-time operations by taking into account associated costs and benefits from various perspectives, including the operational cost, and the resultant benefits from reduced delay, fuel consumption, and emissions.

TL;DR: In this article, an integer programming model is proposed to assign the available units to minimize the total delay caused by incidents rather than to reduce the units' average response times, by giving more weight to locations likely to have more severe incidents and accounting for the variance in incident duration.

TL;DR: In this article, an optimization strategy for highway agencies to distribute incident response units effectively along freeway segments plagued by frequent incidents is presented, based on the p-median model, which convincingly outperforms three state-of-the-practice deployment strategies for performance evaluation with the incident data from 2006 to 2010 on I-495 (Capital Beltway) in the state of Maryland.