Cooperative incident management in mixed traffic of CAVs and human-driven vehicles

W Yue, C Li, S Wang, N Xue… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Traffic incident management in metropolitan areas is crucial for the recovery of road systems
from accidents as well as the mobility and safety of the community. With the continuous …

Data-driven based cruise control of connected and automated vehicles under cyber-physical system framework

T Zhang, Y Zou, X Zhang, N Guo… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
Cyber-physical systems (CPS) have become the cutting-edge technology for the next
generation of industrial applications, and are rapidly developing and inspiring numerous …

Cyberattacks on connected automated vehicles: A traffic impact analysis

Z Sun, R Liu, H Hu, D Liu, Z Yan - IET Intelligent Transport …, 2023 - Wiley Online Library
Cybersecurity has become one of the major challenges for Connected Automated Vehicles.
Previous work in this field mostly focused on the detection of and defence against …

Analysis of Driver Behavior and Intervehicular Collision: A Data‐Based Traffic Modeling and Simulation Approach

L Zhao, N Farhi, Z Christoforou… - Journal of advanced …, 2022 - Wiley Online Library
The emergence of intelligent connected vehicles (ICVs) is expected to contribute to
resolving traffic congestion and safety problems; however, it is inevitable that ICV safety …

Revolution on wheels: A survey on the positive and negative impacts of connected and automated vehicles in era of mixed-autonomy

W Yue, C Li, P Duan, FR Yu - IEEE Internet of Things Journal, 2023 - ieeexplore.ieee.org
With the development of autonomous driving technology, it is foreseeable that connected
and automated vehicles (CAVs) will be fully popularized in people's lives. During this …

An active safety control method of collision avoidance for intelligent connected vehicle based on driving risk perception

C Sun, S Zheng, Y Ma, D Chu, J Yang, Y Zhou… - Journal of Intelligent …, 2021 - Springer
As the complex driving scenarios bring about an opportunity for application of deep learning
in safe driving, artificial intelligence based on deep learning has become a heatedly …

Modeling and analysis of car-following models incorporating multiple lead vehicles and acceleration information in heterogeneous traffic flow

Z Cui, X Wang, Y Ci, C Yang, J Yao - Physica A: Statistical Mechanics and …, 2023 - Elsevier
In the foreseeable future, a complex heterogeneous traffic environment will emerge as
Connected and Autonomous Vehicles (CAVs) coexist with Human-driven Vehicles (HDVs) …

Safety benefits of arterials' crash risk under connected and automated vehicles

MS Rahman, M Abdel-Aty, J Lee… - … Research Part C …, 2019 - Elsevier
This paper aims to investigate the safety impact of connected vehicles and connected
vehicles with the lower level of automation features under vehicle-to-vehicle (V2V) and …

Modeling and stabilization control for heterogeneous traffic flow model considering cyberattacks

H Ge, L Lin, R Cheng - Physica A: Statistical Mechanics and its Applications, 2023 - Elsevier
With the popularity of computer internet technology in transportation, connected automated
vehicles (CAVs) maintain the traffic flow stability by sharing real-time driving information …

Driving safety field modeling focused on heterogeneous traffic flows and cooperative control strategy in highway merging zone

B Sun, G Ma, J Song, Z Cheng, W Wang - Physica A: Statistical Mechanics …, 2023 - Elsevier
Abstract Connected and Automated Vehicles (CAVs) will coexist with Human-Driven
Vehicles (HDVs) in the foreseeable future. Proactive safe controls indeed play a vital role in …