Roadway safety can be significantly improved with real-time collection of data on traffic, roadway surface, and environmental conditions and the efficient broadcasting of that information to road users. The UW’s Smart Transportation Applications and Research Laboratory (UW STAR Lab) has developed the Mobile Unit for Sensing Traffic (MUST) device, which is able to collect real-time transportation-related data, such as travel times, speeds, traffic volumes, vehicle types, pedestrian flows, and roadway surface and weather conditions. This project is implementing an AI-based, active transportation sensing (ATS) system based on the MUST device to use for comprehensive traffic scene perception and management. The ATS-MUST system will work as a transportation information center to connect diverse transportation users and elements, including active transportation users, vehicles, the roadway, the environment, and public agencies in support of various infrastructure-to-everything (I2X) applications. The researchers will install it on selected high-risk roadways and intersections to monitor the traffic scene and broadcast useful information to both road users and traffic operations centers. The project will have a statewide impact by providing real-time, multi-modal traffic data and efficient information broadcasting.
Principal Investigator: Yinhai Wang, Department of Civil and Environmental Engineering, UW
Sponsors:
WSDOT
FHWA Statewide Transportation Innovation Council
WSDOT Technical Monitor: Natarajan Janarthanan
WSDOT Project Manager: Doug Brodin
Scheduled completion: September 2024