Vehicular intelligent collaborative intersection driving decision algorithm in Internet of Vehicles

C Shao, F Cheng, J Xiao, K Zhang - Future Generation Computer Systems, 2023 - Elsevier
Abstract Connected and Automated Vehicles (CAV) are regarded as the developing trend of
future transportation due to the advantages in terms of increasing traffic throughput, safety …

Deep reinforcement learning for autonomous vehicles collaboration at unsignalized intersections

J Zheng, K Zhu, R Wang - GLOBECOM 2022-2022 IEEE …, 2022 - ieeexplore.ieee.org
As conservative intersection management, signalized intersection has a significant
bottleneck in improving traffic efficiency when it comes to connected autonomous vehicles …

[HTML][HTML] Cooperative Decision-Making for Mixed Traffic at an Unsignalized Intersection Based on Multi-Agent Reinforcement Learning

H Zhuang, C Lei, Y Chen, X Tan - Applied Sciences, 2023 - mdpi.com
Despite rapid advances in vehicle intelligence and connectivity, there is still a significant
period in mixed traffic where connected, automated vehicles and human-driven vehicles …

Driver's intention identification and risk evaluation at intersections in the Internet of vehicles

C Chen, L Liu, T Qiu, Z Ren, J Hu… - IEEE Internet of Things …, 2018 - ieeexplore.ieee.org
In recent years, the rapid improvement of sensor and wireless communication technologies
powerfully impels the development of advanced cooperative driving systems, generating the …

Centralized cooperation for connected and automated vehicles at intersections by proximal policy optimization

Y Guan, Y Ren, SE Li, Q Sun, L Luo… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Connected vehicles will change the modes of future transportation management and
organization, especially at an intersection without traffic light. Centralized coordination …

Cooperative driving for connected and automated vehicles at non-signalized intersection based on model predictive control

X Zhao, J Wang, G Yin, K Zhang - 2019 IEEE Intelligent …, 2019 - ieeexplore.ieee.org
An algorithm of cooperative driving based on model predictive control (MPC) for connected
and automated vehicles (CAVs) at non-signalized intersection is proposed in this paper. The …

[PDF][PDF] Centralized conflict-free cooperation for connected and automated vehicles at intersections by proximal policy optimization

Y Guan, Y Ren, SE Li, Q Sun, L Luo… - arXiv preprint arXiv …, 2019 - researchgate.net
Connected vehicles will change the modes of future transportation management and
organization, especially at intersections. There are mainly two categories coordination …

[HTML][HTML] A control method with reinforcement learning for urban un-signalized intersection in hybrid traffic environment

Y Shi, Y Liu, Y Qi, Q Han - Sensors, 2022 - mdpi.com
To control autonomous vehicles (AVs) in urban unsignalized intersections is a challenging
problem, especially in a hybrid traffic environment where self-driving vehicles coexist with …

Coordination for connected and autonomous vehicles at unsignalized intersections: An iterative learning based collision-free motion planning method

B Wang, X Gong, Y Wang, P Lyu… - IEEE Internet of Things …, 2023 - ieeexplore.ieee.org
Motion planning and control of connected and autonomous vehicles (CAVs) for improving
traffic efficiency and safety in intersections still meets many challenges due to its dynamic …

Distributed Cooperative Driving Strategy for Connected Automated Vehicles at Unsignalized Intersections Based on Monte Carlo Method

H Li, W Dong, L Lu, Y Wang… - Journal of Advanced …, 2024 - Wiley Online Library
One of the most important goals of cooperative driving is to control connected automated
vehicles (CAVs) passing through conflict areas safely and efficiently without traffic signals …