Abstract: This study aims at developing a robust Bayesian statistical approach to determine the speed threshold (ST) for detecting a traffic breakdown event using traffic flow parameters. Data collected from a freeway section of ...

Abstract: The adaptive signal control technology (ASCT) is a traffic management strategy that adjusts signal timing parameters to optimize corridor performance based on actual traffic demand. This study used a Bayesian switch-point ...

Abstract: Pedestrian safety is a critical societal concern, especially in low-income countries, as pedestrian crashes increase worldwide. Among other road users, pedestrians are most vulnerable to severe injury and mortality in ...

Abstract: This study used a time-varying Markov chain (TMC) assumption to develop an empirical probabilistic model that evaluates the influence of rainy weather and traffic volume on the dynamic transition of traffic conditions. The ...

Abstract: This study used a time-varying Markov chain (TMC) assumption to develop an empirical probabilistic model that evaluates the influence of rainy weather and traffic volume on the dynamic transition of traffic conditions. The ...

Abstract: Traffic incidents adversely affect the safety and mobility of our transportation network. As such, accurate prediction of incident duration is critical in developing strategies and deploying resources to quickly clear ...

Abstract: High-occupancy toll (HOT) lanes have increasingly been adopted as a strategy to reduce congestion. While numerous studies have focused on the operations of HOT facilities, little is known about their safety performance. ...