Investigation of ATDM Strategies to Reduce the Probability of Breakdown

PI: Mohammed Hadi, Ph.D., Florida International University

Co-PI:  Lily Elefteriadou, Ph.D., University of Florida

Final Report (pending)

UTC Project Information


Advanced Traffic and Demand Management (ATDM) strategies are increasingly being considered to reduce the probability and impacts of traffic flow breakdown. Recent research has indicated that incorporating the probability of breakdown concept into strategies such as ramp metering seems to be a promising method for postponing the breakdown, reducing the average travel time, and reducing the time of congestion. Recent research also found that Variable Speed Limits (VSL) has the potential for reducing the impacts of breakdown. However, several issues still need to be researched regarding the use of these strategies, either individually or in combinations.  In addition, the USDOT Connected Vehicle program has just started investigating the utilization of connected vehicle technologies to support ATDM strategies of the types discussed above.  Thus, it is important to investigate the influence of the utilization of these technologies, with and without a connected vehicles component, on traffic operations.

The goal of this project is to explore and assess methods to improve the operations at critical bottlenecks utilizing optimal combinations of ramp metering and VSL algorithms considering their impact on the probability of breakdown. The project will also develop methods for selecting optimal settings of the parameters of these algorithms to maximize traffic operational improvements. The research will consider the effects of the utilization of combinations of mobile and infrastructure devices to support these strategies. The goals of the project will be accomplished using the CORSIM microsimulator to replicate these strategies and to evaluate their impacts. Therefore, the project will also produce guidelines on how to use simulation models to assess and fine-tune ATDM strategies of the types investigated in this study.