[HTML][HTML] Impacts of communication delay on vehicle platoon string stability and its compensation strategy: A review

Y Zhang, Z Xu, Z Wang, X Yao, Z Xu - Journal of traffic and transportation …, 2023 - Elsevier
Based on the four-element model, this paper reviewed the important research progress in
vehicle platoon, compared the advantages and disadvantages of different models in each …

Survey of cooperative advanced driver assistance systems: From a holistic and systemic vision

JF González-Saavedra, M Figueroa, S Céspedes… - Sensors, 2022 - mdpi.com
The design of cooperative advanced driver assistance systems (C-ADAS) involves a holistic
and systemic vision that considers the bidirectional interaction among three main elements …

A deep reinforcement learning‐based distributed connected automated vehicle control under communication failure

H Shi, Y Zhou, X Wang, S Fu, S Gong… - Computer‐Aided Civil …, 2022 - Wiley Online Library
This paper proposes a deep reinforcement learning (DRL)‐based distributed longitudinal
control strategy for connected and automated vehicles (CAVs) under communication failure …

Cooperative signal-free intersection control using virtual platooning and traffic flow regulation

A Zhou, S Peeta, M Yang, J Wang - Transportation research part C …, 2022 - Elsevier
The emerging technologies of connectivity and automation enable the potential for signal-
free intersection control. In this context, virtual platooning is posited to be an innovative …

Congestion-mitigating MPC design for adaptive cruise control based on Newell's car following model: History outperforms prediction

H Zhou, A Zhou, T Li, D Chen, S Peeta… - … Research Part C …, 2022 - Elsevier
Currently, model predictive control (MPC) for adaptive cruise control (ACC) systems relies
on the prediction of the leader's motion to plan the follower's trajectory. However, such …

Car-following behavior of human-driven vehicles in mixed-flow traffic: A driving simulator study

A Zhou, Y Liu, E Tenenboim… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Connected and autonomous vehicles (CAVs) and human-driven vehicles (HDVs) will
inevitably coexist on roads in the future, creating mixed-flow traffic. The heterogeneous car …

Impacts of information flow topology on traffic dynamics of CAV-MV heterogeneous flow

T Ruan, H Wang, L Zhou, Y Zhang… - IEEE Transactions on …, 2022 - ieeexplore.ieee.org
With the development of Connected Autonomous Vehicle (CAV) technology, different
information flow topologies (IFTs) have been applied to CAV Ad Hoc Networks. Firstly, from …

Cooperative control of a platoon of connected autonomous vehicles and unconnected human‐driven vehicles

A Zhou, S Peeta, J Wang - Computer‐Aided Civil and …, 2023 - Wiley Online Library
By using kinematic state information obtained through vehicle‐to‐vehicle communications,
connected autonomous vehicles (CAVs) can drive cooperatively to alleviate shockwave …

Review of learning-based longitudinal motion planning for autonomous vehicles: research gaps between self-driving and traffic congestion

H Zhou, J Laval, A Zhou, Y Wang… - Transportation …, 2022 - journals.sagepub.com
Self-driving technology companies and the research community are accelerating the pace of
use of machine learning longitudinal motion planning (mMP) for autonomous vehicles (AVs) …

Significance of low-level control to string stability under adaptive cruise control: Algorithms, theory and experiments

H Zhou, A Zhou, T Li, D Chen, S Peeta… - … research part C: emerging …, 2022 - Elsevier
Commercial adaptive cruise control (ACC) systems are bi-level: an upper-level planner
decides the target trajectory and the low-level system executes it. Existing literature on ACCs …