Understanding autonomous vehicles

A Faisal, M Kamruzzaman, T Yigitcanlar… - Journal of transport and …, 2019 - JSTOR
Advancement in automated driving technology has created opportunities for smart urban
mobility. Automated vehicles are now a popular topic with the rise of the smart city agenda …

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 …

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 …

Addressing the range anxiety of battery electric vehicles with charging en route

P Chakraborty, R Parker, T Hoque, J Cruz, L Du… - scientific reports, 2022 - nature.com
Battery electric vehicles (BEVs) have emerged as a promising alternative to traditional
internal combustion engine (ICE) vehicles due to benefits in improved fuel economy, lower …

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 …

Cooperative platoon control for a mixed traffic flow including human drive vehicles and connected and autonomous vehicles

S Gong, L Du - Transportation research part B: methodological, 2018 - Elsevier
This study seeks to develop a cooperative platoon control for a platoon mixed with
connected and autonomous vehicles (CAVs) and human-drive vehicles (HDVs), aiming to …

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 …

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 …

Stabilizing mixed vehicular platoons with connected automated vehicles: An H-infinity approach

Y Zhou, S Ahn, M Wang, S Hoogendoorn - Transportation Research Part B …, 2020 - Elsevier
This paper presents a car-following control strategy of connected automated vehicles
(CAVs) to stabilize a mixed vehicular platoon consisting of CAVs and human-driven …