20 citations · 76 across the 23 of their papers we have counts for
6 papers · 1 filter
Real-time Learning of Driving Gap Preference for Personalized Adaptive Cruise Control
Zhouqiao Zhao, Xishun Liao, Amr Abdelraouf +4
Advanced Driver Assistance Systems (ADAS) are increasingly important in improving driving safety and comfort, with Adaptive Cruise Control (ACC) being one of the most widely used.…
Driver Digital Twin for Online Prediction of Personalized Lane Change Behavior
Xishun Liao, Xuanpeng Zhao, Ziran Wang +5
Connected and automated vehicles (CAVs) are supposed to share the road with human-driven vehicles (HDVs) in a foreseeable future. Therefore, considering the mixed traffic environme…
Digital Twin-Assisted Cooperative Driving at Non-Signalized Intersections
Ziran Wang, Kyungtae Han, Prashant Tiwari
Digital Twin, as an emerging technology related to Cyber-Physical Systems (CPS) and Internet of Things (IoT), has attracted increasing attentions during the past decade. Conceptual…
A Game Theory Based Ramp Merging Strategy for Connected and Automated Vehicles in the Mixed Traffic: A Unity-SUMO Integrated Platform
Xishun Liao, Xuanpeng Zhao, Guoyuan Wu +4
Ramp merging is considered as one of the major causes of traffic congestion and accidents because of its chaotic nature. With the development of connected and automated vehicle (CA…
Motion Estimation of Connected and Automated Vehicles under Communication Delay and Packet Loss of V2X Communications
Ziran Wang, Kyungtae Han, Prashant Han
The emergence of the connected and automated vehicle (CAV) technology enables numerous advanced applications in our transportation system, benefiting our daily travels in terms of…
Lookup Table-Based Consensus Algorithm for Real-Time Longitudinal Motion Control of Connected and Automated Vehicles
Ziran Wang, Kyuntae Han, BaekGyu Kim +2
Connected and automated vehicle (CAV) technology is one of the promising solutions to addressing the safety, mobility and sustainability issues of our current transportation system…