Results 51 to 60 of about 276 (158)

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

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

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

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

Review of driver behaviour modelling for highway on‐ramp merging

IET Intelligent Transport Systems, Volume 18, Issue S1, Page 2793-2813, December 2024.
A review of drivers behaviours modelling in highway on‐ramps with a focus on current research trend, “data‐driven approaches”, and its associated challenges. Abstract Autonomous driving is an exciting research field that has received growing attention in recent years. One of the most challenging and safety‐critical driving situations is highway on‐ramp
Zine el abidine Kherroubi, Samir Aknine
wiley   +1 more source

Cloud‐based DMPC structure for velocity consensus and lane following of heterogeneous automated vehicles

IET Control Theory &Applications, Volume 18, Issue 17, Page 2379-2389, November 2024.
This paper investigates the challenges associated with the velocity consensus and the lane following in heterogeneous automated vehicles considered as agents of a multi agent system. A cloud‐based distributed model predictive control structure is proposed to address the distributed intrinsic of such systems.
Ali Karami Ghanavati, Ali Akbar Safavi, Mohammad Shakerpour   +2 more
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

Deep Q‐network learning‐based active speed management under autonomous driving environments

Computer-Aided Civil and Infrastructure Engineering, Volume 39, Issue 21, Page 3225-3242, 1 November 2024.
Abstract Efficient traffic safety management necessitates real‐time crash risk prediction using expressway characteristics. With the emergence of autonomous vehicles (AVs), the development and evaluation of variable speed limit (VSL) strategies, a key active traffic management technique, become crucial for enhancing safety and mobility in mixed traffic
Kawon Kang, Nuri Park, Juneyoung Park, Mohamed Abdel‐Aty   +3 more
wiley   +1 more source