Results 51 to 60 of about 279 (160)

Dynamic Control of Variable Lanes on Port Collector‐Distributor Expressway

Journal of Advanced Transportation, Volume 2026, Issue 1, 2026.
The port collector‐distributor expressways are important channels connecting large ports and inland hinterlands. The traffic volume and composition on port collector‐distributor expressways are significantly influenced by the arrival and departure of cargo ships, resulting in significant variations between periods with and without freight tasks.
Yin Jiang, Wei Zhang, Ruiyu Wang, Gang Ren, Rui Jiang   +4 more
wiley   +1 more source

A Survey on Reinforcement Learning for Optimal Decision‐Making and Control of Intelligent Vehicles

CAAI Transactions on Intelligence Technology, Volume 10, Issue 6, Page 1593-1615, December 2025.
ABSTRACT Reinforcement learning (RL) has been widely studied as an efficient class of machine learning methods for adaptive optimal control under uncertainties. In recent years, the applications of RL in optimised decision‐making and motion control of intelligent vehicles have received increasing attention.
Yixing Lan, Xin Xu, Jiahang Liu, Xinglong Zhang, Yang Lu, Long Cheng   +5 more
wiley   +1 more source

Ecological cooperative adaptive cruise control of over‐actuated electric vehicles with in‐wheel motor in traffic flow

IET Intelligent Transport Systems, 2021
Since electric vehicle with in‐wheel motor has advantages in aspects of vehicle dynamics control and energy‐efficient control, it has been widely applied in the vehicle platoon in the highway.
Dong Xia, Boyuan Li, Jie Zhang, Bangji Zhang, Nong Zhang   +4 more
doaj   +1 more source

Enhanced consensus control architecture for autonomous platoon utilizing multi‐agent reinforcement learning

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 17, Page 2561-2577, 14 July 2025.
Abstract Coordinating a platoon of connected and automated vehicles significantly improves traffic efficiency and safety. Current platoon control methods prioritize consistency and convergence performance but overlook the inherent interdependence between the platoon and the the non‐connected leading vehicle.
Xin Guo, Jiankun Peng, Dawei Pi, Hailong Zhang, Changcheng Wu, Chunye Ma   +5 more
wiley   +1 more source

Design and Experimental Validation of a Cooperative Adaptive Cruise Control System Based on Supervised Reinforcement Learning

Applied Sciences, 2018
This paper presents a supervised reinforcement learning (SRL)-based framework for longitudinal vehicle dynamics control of cooperative adaptive cruise control (CACC) system. A supervisor network trained by real driving data is incorporated into the actor-
Shouyang Wei, Yuan Zou, Tao Zhang, Xudong Zhang, Wenwei Wang   +4 more
doaj   +1 more source

Lateral and Longitudinal Trajectory Optimisation Method for a Mixed Fleet of Connected and Automated Vehicles Passing Through Multiple Continuous Intersections

IET Intelligent Transport Systems, Volume 19, Issue 1, January/December 2025.
This paper proposes a novel trajectory optimisation method for mixed fleets with the coexistence of connected and automated vehicles and human driven vehicles (HDVs) passing through multiple continuous intersections, including both the lateral and longitudinal behaviour control.
Wenjuan E, Yao Li, Xiangwang Hu, Shiwei Ma, Feifan Du, Xiang Wang   +5 more
wiley   +1 more source

A Study of Mixed Platooning Considering Driver Perceptual Uncertainty

Journal of Advanced Transportation, Volume 2025, Issue 1, 2025.
Human‐driven vehicles (HDVs) are the most critical element in mixed platoon research for their uncertainty. This paper presents a novel car‐following model that considers the driver’s perceived uncertainty. A mixed platoon model of HDVs and connected and autonomous vehicles (CAVs) is established.
Junfeng Jiang, Yikang Rui, Bin Ran, Sheng Jin   +3 more
wiley   +1 more source

Comparison of Different Controller Architectures for Autonomous Driving and Recommendations for Robust and Safe Implementations

Journal of Advanced Transportation, Volume 2025, Issue 1, 2025.
This comprehensive review examines various controller architectures for autonomous driving systems, from rule‐based approaches to advanced deep learning methods. Research trends reveal a significant shift toward deep learning approaches (65.6%) compared to rule‐based methods (34.4%), reflecting the growing dominance of data‐driven techniques in ...
M. A. Shadab Siddiqui, M. S. Rabbi, Md Jobayer Islam, Radif Uddin Ahmed, Jinhao Liang   +4 more
wiley   +1 more source

Data‐driven dual‐loop control for platooning mixed human‐driven and automated vehicles

IET Intelligent Transport Systems, Volume 18, Issue 12, Page 2576-2585, December 2024.
This paper considers controlling automated vehicles to form a platoon with human‐driven vehicles under consideration of unknown HV model parameters and propulsion time constants. The proposed design is a data‐driven dual‐loop control strategy for the ego automated vehicles, where the inner loop controller ensures platoon stability and the outer loop ...
Jianglin Lan
wiley   +1 more source

Predictive Ecological Cooperative Control of Electric Vehicles Platoon on Hilly Roads

Chinese Journal of Mechanical Engineering
The integration of eco-driving and cooperative adaptive cruise control (CACC) with platoon cooperative control (eco-CACC) has emerged as a pivotal approach for improving vehicle energy efficiency.
Bingbing Li, Weichao Zhuang, Boli Chen, Hao Zhang, Sheng Yu, Jianrun Zhang, Guodong Yin   +6 more
doaj   +1 more source