Multi-agent reinforcement learning for cooperative lane changing of connected and autonomous vehicles in mixed traffic

W Zhou, D Chen, J Yan, Z Li, H Yin, W Ge - Autonomous Intelligent …, 2022 - Springer
Autonomous driving has attracted significant research interests in the past two decades as it
offers many potential benefits, including releasing drivers from exhausting driving and …

Review of autonomous intelligent vehicles for urban driving and parking

TK Chan, CS Chin - Electronics, 2021 - mdpi.com
With the concept of Internet-of-Things, autonomous vehicles can provide higher driving
efficiency, traffic safety, and freedom for the driver to perform other tasks. This paper first …

Review of lane-changing maneuvers of connected and automated vehicles: models, algorithms and traffic impact analyses

Z Wang, X Shi, X Li - Journal of the Indian Institute of Science, 2019 - Springer
Connected and automated vehicle (CAV) technologies have been developed to improve
traffic safety, mobility, and environmental impacts throughout the years. One of the enabling …

Cooperative lane-change motion planning for connected and automated vehicle platoons in multi-lane scenarios

X Duan, C Sun, D Tian, J Zhou… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Multi-vehicle motion planning (MVMP) has become an emerging paradigm in connected
and automated vehicles (CAVs). The cooperative lane-change movements with the …

Balancing computation speed and quality: A decentralized motion planning method for cooperative lane changes of connected and automated vehicles

B Li, Y Zhang, Y Feng, Y Zhang, Y Ge… - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
This paper focuses on the multi-vehicle motion planning (MVMP) problem for cooperative
lane changes of connected and automated vehicles (CAVs). The predominant decentralized …

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 …

Adaptive cruise control design for collision risk avoidance

Y Jiang, H Cong, H Chen, Y Wu, Z Yao - Physica A: Statistical Mechanics …, 2024 - Elsevier
With advanced technologies such as perception and automatic control, automated vehicles
(AVs) are gradually replacing human-driven vehicles (HDVs). They will become a significant …

Real-time prediction system of train carriage load based on multi-stream fuzzy learning

H Yu, J Lu, A Liu, B Wang, R Li… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
When a train leaves a platform, knowing the carriage load (the number of passengers in
each carriage) of this train will support train managers to guide passengers at the next …

A hybrid planning approach based on MPC and parametric curves for overtaking maneuvers

R Lattarulo, J Pérez Rastelli - Sensors, 2021 - mdpi.com
Automated Driving Systems (ADS) have received a considerable amount of attention in the
last few decades, as part of the Intelligent Transportation Systems (ITS) field. However, this …

Optimal control-based online motion planning for cooperative lane changes of connected and automated vehicles

B Li, Y Zhang, Y Ge, Z Shao, P Li - 2017 IEEE/RSJ International …, 2017 - ieeexplore.ieee.org
This work formulates the multi-vehicle lane change motion planning task as a centralized
optimal control problem, which is beneficial in being generic and complete. However, a …