Influence of CAV clustering strategies on mixed traffic flow characteristics: An analysis of vehicle trajectory data

Z Zhong, EE Lee, M Nejad, J Lee - Transportation Research Part C …, 2020 - Elsevier
Being one of the most promising applications enabled by connected and automated
vehicles (CAV) technology, Cooperative Adaptive Cruise Control (CACC) is expected to be …

Decentralized cooperative lane-changing decision-making for connected autonomous vehicles

J Nie, J Zhang, W Ding, X Wan, X Chen, B Ran - IEEE access, 2016 - ieeexplore.ieee.org
In this paper, we proposed a decentralized cooperative lane-changing decision-making
framework for connected autonomous vehicles, which is composed of three modules, ie …

Cooperative decision making of connected automated vehicles at multi-lane merging zone: A coalitional game approach

P Hang, C Lv, C Huang, Y Xing… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
To address the safety and efficiency issues of vehicles at multi-lane merging zones, a
cooperative decision-making framework is designed for connected automated vehicles …

A simulation framework for cooperative intelligent transport systems testing and evaluation

M Aramrattana, T Larsson, J Jansson… - … research part F: traffic …, 2019 - Elsevier
Connected and automated driving in the context of cooperative intelligent transport systems
(C-ITS) is an emerging area in transport systems research. Interaction and cooperation …

Prototyping and evaluation of infrastructure-assisted transition of control for cooperative automated vehicles

B Coll-Perales, J Schulte-Tigges… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
Automated driving is now possible in diverse road and traffic conditions. However, there are
still situations that automated vehicles cannot handle safely and efficiently. In this case, a …

Cooperative driving and lane changing modeling for connected vehicles in the vicinity of traffic signals: A cyber-physical perspective

Y He, D Sun, M Zhao, S Cheng - IEEE Access, 2018 - ieeexplore.ieee.org
The vicinity of traffic signals is one of the most critical areas in road systems. New
information technology paradigms like vehicle-to-vehicle and vehicle-to-infrastructure …

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 …

Capacity analysis and cooperative lane changing for connected and automated vehicles: Entropy-based assessment method

Y Shi, Q He, Z Huang - Transportation research record, 2019 - journals.sagepub.com
Connected and automated vehicles (CAVs) are poised to transform how we manage and
control the existing traffic. CAVs can provide accurate distance sensing and adaptive cruise …

A deep reinforcement learning based distributed control strategy for connected automated vehicles in mixed traffic platoon

H Shi, D Chen, N Zheng, X Wang, Y Zhou… - … Research Part C …, 2023 - Elsevier
This paper proposes an innovative distributed longitudinal control strategy for connected
automated vehicles (CAVs) in the mixed traffic environment of CAV and human-driven …

Traffic capacity implications of automated vehicles mixed with regular vehicles

A Olia, S Razavi, B Abdulhai… - Journal of Intelligent …, 2018 - Taylor & Francis
Automated vehicles (AVs) have begun to receive tremendous interest among researchers
and decision-makers because of their substantial safety and mobility benefits. Although …