[HTML][HTML] Planning and decision-making for connected autonomous vehicles at road intersections: A review

S Li, K Shu, C Chen, D Cao - Chinese Journal of Mechanical Engineering, 2021 - Springer
Planning and decision-making technology at intersections is a comprehensive research
problem in intelligent transportation systems due to the uncertainties caused by a variety of …

Cooperative autonomous traffic organization method for connected automated vehicles in multi-intersection road networks

Y Wang, P Cai, G Lu - Transportation research part C: emerging …, 2020 - Elsevier
Connected automated vehicles (CAVs) have been currently considered as promising
solutions for realization of envisioned autonomous traffic management systems in the future …

Flow: A modular learning framework for mixed autonomy traffic

C Wu, AR Kreidieh, K Parvate… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
The rapid development of autonomous vehicles (AVs) holds vast potential for transportation
systems through improved safety, efficiency, and access to mobility. However, the …

Distributed conflict resolution for connected autonomous vehicles

C Liu, CW Lin, S Shiraishi… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
This paper proposes a novel communication-enabled distributed conflict resolution
mechanism in order for a group of connected autonomous vehicles to navigate safely and …

Cooperative platoon formation of connected and autonomous vehicles: Toward efficient merging coordination at unsignalized intersections

Z Deng, K Yang, W Shen, Y Shi - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
This paper presents a Vehicle-Platoon-Aware Bi-Level Optimization Algorithm for
Autonomous Intersection Management (VPA-AIM) to coordinate the merging of Connected …

Driving tasks transfer using deep reinforcement learning for decision-making of autonomous vehicles in unsignalized intersection

H Shu, T Liu, X Mu, D Cao - IEEE Transactions on Vehicular …, 2021 - ieeexplore.ieee.org
Knowledge transfer is a promising concept to achieve real-time decision-making for
autonomous vehicles. This paper constructs a transfer deep reinforcement learning (RL) …

[HTML][HTML] 深度学习在无人驾驶汽车领域应用的研究进展

王科俊, 赵彦东, 邢向磊 - 智能系统学报, 2018 - html.rhhz.net
首先阐述了汽车界对无人驾驶的定义, 然后详细分析了国内外无人驾驶汽车的发展历史以及各车
企和互联网公司的研究现状. 通过详细分析无人驾驶汽车工作原理, 体系架构设计以及具体实现 …

[HTML][HTML] Evaluating operational features of three unconventional intersections under heavy traffic based on CRITIC method

B Pan, S Liu, Z Xie, Y Shao, X Li, R Ge - Sustainability, 2021 - mdpi.com
Conventional four-legged intersections are inefficient under heavy traffic requirements and
are prone to congestion problems. Unconventional intersections with innovative designs …

Unified automatic control of vehicular systems with reinforcement learning

Z Yan, AR Kreidieh, E Vinitsky… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
Emerging vehicular systems with increasing proportions of automated components present
opportunities for optimal control to mitigate congestion and increase efficiency. There has …

TS-STNN: Spatial-temporal neural network based on tree structure for traffic flow prediction

Y Lv, Z Lv, Z Cheng, Z Zhu, TH Rashidi - Transportation research part E …, 2023 - Elsevier
Traffic flow prediction effectively supports the sustainable expansion and operation of
modern transport networks, one of the emerging research areas in intelligent transportation …