A cooperative lane change model for connected and automated vehicles

T Li, J Wu, CY Chan, M Liu, C Zhu, W Lu, K Hu - IEEE Access, 2020 - ieeexplore.ieee.org
The emerging technology of vehicle-to-vehicle (V2V) communication, vehicle-to-
infrastructure (V2I) communication makes it possible for vehicles to sense the environment …

Robust H-infinity control for connected vehicles in lattice hydrodynamic model at highway tunnel

Y Zhang, M Zhao, D Sun, X Liu, S Huang… - Physica A: Statistical …, 2022 - Elsevier
In this paper, a macro hydrodynamic model suitable for tunnel traffic in the network
environment is proposed. Firstly, according to the characteristics of tunnel traffic, we …

SFM-based modeling and string stability analysis of mixed vehicle groups with distributed cooperative method from cyber-physical perspective

S Huang, D Sun, M Zhao, Y Zhang, W Liu, X Liao - Nonlinear Dynamics, 2023 - Springer
This paper aims to ensure the string stability of a mixed vehicle group composed of
connected and automated vehicles and traditional human-driven vehicles on the road. To …

Some features of car‐following behaviour in the vicinity of signalised intersection and how to model them

J Zhang, T Tang, T Wang - IET Intelligent Transport Systems, 2019 - Wiley Online Library
In the context of urban traffic increasing, the study of driving behaviour in the vicinity of
signalised intersection is emerging. Driving behaviour on the signalised road is different …

A Novel On‐Ramp Merging Strategy for Connected and Automated Vehicles Based on Game Theory

H Min, Y Fang, R Wang, X Li, Z Xu… - Journal of Advanced …, 2020 - Wiley Online Library
Connected and automated vehicles (CAVs) have attracted much attention of researchers
because of its potential to improve both transportation network efficiency and safety through …

Inferring the number of vehicles between trajectory-observed vehicles

Z Wen, X Weng - Journal of Intelligent Transportation Systems, 2023 - Taylor & Francis
Traffic perception is the foundation of intelligent roads, and how to accurately perceive traffic
has become a central issue for researchers. With the application of Vehicle-to-Everything …

An Integrated Framework of Lateral and Longitudinal Behavior Decision-Making for Autonomous Driving Using Reinforcement Learning

H Ni, G Yu, P Chen, B Zhou, Y Liao… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Lateral lane-changing and longitudinal car-following behavior decision-making is crucial for
the implementation of autonomous driving (AD) in complex and dynamic traffic environment …

Distributed MPC-Based Hierarchical Cooperative Control for Mixed Vehicle Groups With T-CPS in the Vicinity of Traffic Signal Light

S Huang, D Sun, M Zhao - IEEE Transactions on Intelligent …, 2024 - ieeexplore.ieee.org
To minimize the stop-and-go behavior caused by human factors and traffic signal light
constraints, this paper proposes a distributed MPC-based hierarchical cooperative control …

Adaptive headway control algorithm for mixed-traffic stabilization and optimization with automated cars and trucks

X Xiao, Y Zhang, XB Wang… - Transportation research …, 2023 - journals.sagepub.com
Automated vehicle (AV) technology provides an opportunity to increase capacity and reduce
congestion while maintaining stability and flow rate by allowing AVs to control their …

Graph-Based Deadlock Analysis and Prevention for Robust Intelligent Intersection Management

KE Lin, KC Wang, YH Chen, LH Lin, YH Lee… - ACM Transactions on …, 2023 - dl.acm.org
Intersection management systems, with the assistance of vehicular networks and
autonomous vehicles, have potential to perform traffic control more precisely than …