Driver Digital Twin for Online Prediction of Personalized Lane Change Behavior

no code implementations • 2 Nov 2022 • Xishun Liao, Xuanpeng Zhao, Ziran Wang, Zhouqiao Zhao, Kyungtae Han, Rohit Gupta, Matthew J. Barth, Guoyuan Wu

The proposed system is first evaluated on a human-in-the-loop co-simulation platform, and then in a field implementation with three passenger vehicles connected through the 4G/LTE cellular network.

Cyber Mobility Mirror: A Deep Learning-based Real-World Object Perception Platform Using Roadside LiDAR

no code implementations • 28 Feb 2022 • Zhengwei Bai, Saswat Priyadarshi Nayak, Xuanpeng Zhao, Guoyuan Wu, Matthew J. Barth, Xuewei Qi, Yongkang Liu, Emrah Akin Sisbot, Kentaro Oguchi

Object perception plays a fundamental role in Cooperative Driving Automation (CDA) which is regarded as a revolutionary promoter for the next-generation transportation systems.

3D Object Detection Object

Evaluating Cybersecurity Risks of Cooperative Ramp Merging in Mixed Traffic Environments

no code implementations • 18 Nov 2021 • Xuanpeng Zhao, Ahmed Abdo, Xishun Liao, Matthew J. Barth, Guoyuan Wu

In this study, we investigate cybersecurity risks of a representative cooperative traffic management application, i. e., highway on-ramp merging, in a mixed traffic environment.

Management