32 citations · 55 across the 13 of their papers we have counts for
6 papers · 1 filter
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…
Modular Vehicle Routing Problem: Applications in Logistics
Hang Zhou, Yang Li, Chengyuan Ma +2
Recent studies and industry advancements indicate that modular vehicles (MVs) have the potential to enhance transportation systems through their ability to dock and split during a…
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…
A Unified Longitudinal Trajectory Dataset for Automated Vehicle
Hang Zhou, Ke Ma, Shixiao Liang +2
Automated Vehicles (AVs) promise significant advances in transportation. Critical to these improvements is understanding AVs' longitudinal behavior, relying heavily on real-world t…
Online Physical Enhanced Residual Learning for Connected Autonomous Vehicles Platoon Centralized Control
Hang Zhou, Heye Huang, Peng Zhang +3
This paper introduces an online physical enhanced residual learning (PERL) framework for Connected Autonomous Vehicles (CAVs) platoon, aimed at addressing the challenges posed by t…
A Review on Trajectory Datasets on Advanced Driver Assistance System
Hang Zhou, Ke Ma, Xiaopeng Li
This paper presents a comprehensive review of trajectory data of Advanced Driver Assistance System equipped-vehicle, with the aim of precisely model of Autonomous Vehicles (AVs) be…