Milestones in autonomous driving and intelligent vehicles—Part I: Control, computing system design, communication, HD map, testing, and human behaviors

L Chen, Y Li, C Huang, Y Xing, D Tian… - … on Systems, Man …, 2023 - ieeexplore.ieee.org
Interest in autonomous driving (AD) and intelligent vehicles (IVs) is growing at a rapid pace
due to the convenience, safety, and economic benefits. Although a number of surveys have …

A bi-level network-wide cooperative driving approach including deep reinforcement learning-based routing

J Zhang, J Ge, S Li, S Li, L Li - IEEE Transactions on Intelligent …, 2023 - ieeexplore.ieee.org
Cooperative driving of connected and automated vehicles (CAVs) has attracted extensive
attention and researchers have proposed various approaches. However, existing …

CAVSim: A microscopic traffic simulator for evaluation of connected and automated vehicles

J Zhang, C Chang, Z He, W Zhong… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Connected and automated vehicles (CAVs) are expected to play a vital role in the emerging
intelligent transportation system. In recent years, researchers have proposed various …

Autonomous vehicles testing considering utility-based operable tasks

J Ge, J Zhang, Y Zhang, D Yao… - Tsinghua Science and …, 2023 - ieeexplore.ieee.org
Virtual simulation testing of Autonomous Vehicles (AVs) is gradually being accepted as a
mandatory way to test the feasibility of driving strategies for AVs. Mainstream methods focus …

Scenario generation for autonomous vehicles with deep-learning-based heterogeneous driver models: implementation and verification

L Gao, R Zhou, K Zhang - Sensors, 2023 - mdpi.com
Virtual testing requires hazardous scenarios to effectively test autonomous vehicles (AVs).
Existing studies have obtained rarer events by sampling methods in a fixed scenario space …

Theoretical analysis of cooperative driving at idealized unsignalized intersections

S Li, J Zhang, Z Chen, L Li - Tsinghua Science and Technology, 2023 - ieeexplore.ieee.org
Cooperative driving is widely viewed as a promising method to better utilize limited road
resources and alleviate traffic congestion. In recent years, several cooperative driving …

Lcs-tf: Multi-agent deep reinforcement learning-based intelligent lane-change system for improving traffic flow

LC Das, M Won - arXiv preprint arXiv:2303.09070, 2023 - arxiv.org
Discretionary lane-change is one of the critical challenges for autonomous vehicle (AV)
design due to its significant impact on traffic efficiency. Existing intelligent lane-change …

Research and Deduction of Car‐to‐TW Vehicle AEB Test Scenarios Based on Improved Clustering Methods

X Dong, Q Zhang, D Zhang, C Wang… - Journal of advanced …, 2023 - Wiley Online Library
Two‐wheeled (TW) vehicle accidents are one of the major types of urban traffic accidents.
TW cyclists who lack safety protection usually suffer more serious injuries and deaths in …