In response to the problems of long construction periods, road network congestion, and serious traffic conflicts existing in the traditional road maintenance mode, provinces in our country have … [Read more...] about Traffic Organization and Evaluation of Road Intensive Maintenance Based on Multi-Source Data
Information, Data, and Knowledge
Modeling Drivers in Route Diversion Behavior During Congestion: A Pilot Study
This study investigates factors influencing drivers' decisions to divert their routes in response to congestion and delays on coastal road networks. Key variables examined include information-seeking … [Read more...] about Modeling Drivers in Route Diversion Behavior During Congestion: A Pilot Study
FDOT’s 2025 SWIFTT Challenge Highlights Connected and Digital Technologies for Work Zone Safety
The Florida Department of Transportation’s 2025 SWIFTT Challenge, held in Orlando alongside an Associated Contractors of America Florida event, showcased emerging technologies designed to improve … [Read more...] about FDOT’s 2025 SWIFTT Challenge Highlights Connected and Digital Technologies for Work Zone Safety
Enhancing Autonomous Vehicle Decision-Making in Construction Zones Using Construction Signage Recognition and Vehicle Trajectory Tracking Algorithms
Autonomous vehicles have increasingly become a trend in transportation owing to the development of deep learning technologies. However, autonomous vehicle systems are mainly applied in specific … [Read more...] about Enhancing Autonomous Vehicle Decision-Making in Construction Zones Using Construction Signage Recognition and Vehicle Trajectory Tracking Algorithms
Supplemental Material for ROADWork: A Dataset and Benchmark for Learning to Recognize, Observe, Analyze and Drive Through Work Zones
The supplemental material for ROADWork: A Dataset and Benchmark for Learning to Recognize, Observe, Analyze and Drive Through Work Zones provides extended details on dataset construction, annotation … [Read more...] about Supplemental Material for ROADWork: A Dataset and Benchmark for Learning to Recognize, Observe, Analyze and Drive Through Work Zones
ROADWork: A Dataset and Benchmark for Learning to Recognize, Observe, Analyze and Drive Through Work Zones
Perceiving and autonomously navigating through work zones is a challenging and underexplored problem. Open datasets for this long-tailed scenario are scarce. We propose the ROADWork dataset to learn … [Read more...] about ROADWork: A Dataset and Benchmark for Learning to Recognize, Observe, Analyze and Drive Through Work Zones