7 papers · 1 filter
High-Slip-Ratio Control for Peak Tire-Road Friction Estimation Using Automated Vehicles
Zhaohui Liang, Hang Zhou, Heye Huanh +1
Accurate estimation of the tire-road friction coefficient (TRFC) is critical for ensuring safe vehicle control, especially under adverse road conditions. However, most existing met…
Developing Fundamental Diagrams for Urban Air Mobility Traffic Based on Physical Experiments
Hang Zhou, Yuhui Zhai, Shiyu Shen +3
Urban Air Mobility (UAM) is an emerging application of unmanned aerial vehicles that promises to reduce travel time and alleviate congestion in urban transportation systems. As dro…
Benchmarking Tesla's Traffic Light and Stop Sign Control: Field Dataset and Behavior Insights
Zheng Li, Peng Zhang, Shixiao Liang +5
Understanding how Advanced Driver-Assistance Systems (ADAS) interact with Traffic Control Devices (TCDs) is critical for assessing their influence on traffic operations, yet this i…
Towards Full-Scenario Safety Evaluation of Automated Vehicles: A Volume-Based Method
Hang Zhou, Chengyuan Ma, Shiyu Shen +2
With the rapid development of automated vehicles (AVs) in recent years, commercially available AVs are increasingly demonstrating high-level automation capabilities. However, most…
Online Adaptive Platoon Control for Connected and Automated Vehicles via Physics Enhanced Residual Learning
Peng Zhang, Heye Huang, Hang Zhou +3
This paper introduces a physics enhanced residual learning (PERL) framework for connected and automated vehicle (CAV) platoon control, addressing the dynamics and unpredictability…
An Advanced Microscopic Energy Consumption Model for Automated Vehicle:Development, Calibration, Verification
Ke Ma, Zhaohui Liang, Hang Zhou +1
The automated vehicle (AV) equipped with the Adaptive Cruise Control (ACC) system is expected to reduce the fuel consumption for the intelligent transportation system. This paper p…