摘要: |
Highway work zones are prone to traffic accidents when congestion and queues develop. Vehicle queues can expand at a rate of 1 mile every 2 minutes. Back-of-queue, rear-end crashes are the most common type of work zone crash, endangering the safety of motorists, passengers, and construction workers. The dynamic nature of queueing in the proximity of highway work zones necessitates traffic management solutions that can monitor and intervene in real time. Fortunately, recent progress in sensor technology, embedded systems, and wireless communication coupled to lower costs are now enabling the development of real-time, automated, “intelligent” traffic management systems that address this problem.
The goal of this project is to introduce and prototype a hybrid (fixed-wing and multi-rotor) unmanned air vehicle (UAV)-based remote sensing system that provides real-time traffic monitoring with high temporal and spatial resolution. The UAV-based system will dynamically manage work zone safety and traffic mobility challenges by interacting in real time with changeable message boards, motorist cellphones, traffic management center, and law enforcement personnel. The main tasks of the proposed system will be to collect traffic data via the UAV camera, analyze data to detect congestion and back-of-queue information, and alert motorists of stopped traffic conditions, delay times, and alternate route options. |