University of Maryland
Making more efficient use of existing system through HOV lanes is a cost-effective solution to improve mobility. Effective management of such facilities calls for continuous and reliable monitoring of their performance. This research focuses on developing an evaluation framework that combines traffic data from several sources to estimate key HOV indicators. Motivated by advancements in travel time measurement technologies, a pattern recognition algorithm for separating travel time on HOV and regular lanes collected by Bluetooth sensors is developed.