Policy and society related implications of automated driving: A review of literature and directions for future research

D Milakis, B Van Arem, B Van Wee - Journal of intelligent …, 2017 - Taylor & Francis
In this paper, the potential effects of automated driving that are relevant to policy and society
are explored, findings discussed in literature about those effects are reviewed and areas for …

Intersection control with connected and automated vehicles: A review

J Wu, X Qu - Journal of intelligent and connected vehicles, 2022 - ieeexplore.ieee.org
Purpose-This paper aims to review the studies on intersection control with connected and
automated vehicles (CAVs). Design/methodology/approach-The most seminal and recent …

Connected automated vehicle cooperative control with a deep reinforcement learning approach in a mixed traffic environment

H Shi, Y Zhou, K Wu, X Wang, Y Lin, B Ran - Transportation Research Part …, 2021 - Elsevier
This paper proposes a cooperative strategy of connected and automated vehicles (CAVs)
longitudinal control for a mixed connected and automated traffic environment based on deep …

A survey on autonomous vehicle control in the era of mixed-autonomy: From physics-based to AI-guided driving policy learning

X Di, R Shi - Transportation research part C: emerging technologies, 2021 - Elsevier
This paper serves as an introduction and overview of the potentially useful models and
methodologies from artificial intelligence (AI) into the field of transportation engineering for …

An analytical optimal control approach for virtually coupled high-speed trains with local and string stability

Y Liu, Y Zhou, S Su, J Xun, T Tang - Transportation Research Part C …, 2021 - Elsevier
This paper presents an analytic optimal control method for the virtually coupled train set
(VCTS) in high-speed railway, aiming at maintaining consistent speed and safe spacing …

Integrated optimization of traffic signals and vehicle trajectories at isolated urban intersections

C Yu, Y Feng, HX Liu, W Ma, X Yang - Transportation research part B …, 2018 - Elsevier
Existing traffic signal control systems only allocate green time to different phases to avoid
conflicting vehicle movements. With advances in connected and automated vehicle (CAV) …

Eco approaching at an isolated signalized intersection under partially connected and automated vehicles environment

H Jiang, J Hu, S An, M Wang, BB Park - Transportation Research Part C …, 2017 - Elsevier
This research proposed an eco-driving system for an isolated signalized intersection under
partially Connected and Automated Vehicles (CAV) environment. This system prioritizes …

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 …

Joint optimization of vehicle trajectories and intersection controllers with connected automated vehicles: Combined dynamic programming and shooting heuristic …

Y Guo, J Ma, C Xiong, X Li, F Zhou, W Hao - Transportation research part C …, 2019 - Elsevier
Connected and automated vehicle (CAV) technologies offer promising solutions to
challenges that face today's transportation systems. Vehicular trajectory control and …

Distributed model predictive control approach for cooperative car-following with guaranteed local and string stability

Y Zhou, M Wang, S Ahn - Transportation research part B: methodological, 2019 - Elsevier
In this paper, a serial distributed model predictive control (MPC) approach for connected
automated vehicles (CAVS) is developed with local stability (disturbance dissipation over …