5 papers
Behavior-Grounded Lane Representation Learning for Multi-Task Traffic Digital Twins
Rei Tamaru, Pei Li, Bin Ran
Traffic digital twins are powerful tools for advanced traffic management, and most systems are built on static geometric representations. However, these representations fail to cap…
CrossTraffic: An Open-Source Framework for Reproducible and Executable Transportation Analysis and Knowledge Management
Rei Tamaru, Bin Ran
Transportation engineering often relies on technical manuals and analytical tools for planning, design, and operations. However, the dissemination and management of these methodolo…
Geo-ORBIT: A Federated Digital Twin Framework for Scene-Adaptive Lane Geometry Detection
Rei Tamaru, Pei Li, Bin Ran
Digital Twins (DT) have the potential to transform traffic management and operations by creating dynamic, virtual representations of transportation systems that sense conditions, a…
Enhancing Pedestrian Trajectory Prediction with Crowd Trip Information
Rei Tamaru, Pei Li, Bin Ran
Pedestrian trajectory prediction is essential for various applications in active traffic management, urban planning, traffic control, crowd management, and autonomous driving, aimi…
Truck Parking Usage Prediction with Decomposed Graph Neural Networks
Rei Tamaru, Yang Cheng, Steven Parker +3
Truck parking on freight corridors faces the major challenge of insufficient parking spaces. This is exacerbated by the Hour-of-Service (HOS) regulations, which often result in una…