With a strong correlation between increased truck driving hours and fatigue-related crashes, rest breaks for freight trucks are important for safety. However, the numbers of truck parking spaces at freeway rest areas cannot meet the increasing demand for parking. The goal of this project is to provide real-time and predicted short-term truck parking space information to truck drivers through a web service and as a mobile application. Parking availability will be predicted with the use of comprehensive historical truck parking space data. To assess truck parking detection accuracy, extra parking detection roadway stickers or other devices will be installed near the tested parking slots. The applications and their supporting algorithms should improve the ability of truckers to efficiently find and schedule truck parking and enhance the robustness of the entire freight mobility system.
Principal Investigator: Yinhai Wang, Civil and Environmental Engineering UW
Sponsor: WSDOT
WSDOT Technical Monitor: Karthik Murthy
WSDOT Project Manager: Doug Brodin
Scheduled completion: December 2021