Model predictive control for autonomous ground vehicles: a review

S Yu, M Hirche, Y Huang, H Chen… - Autonomous Intelligent …, 2021 - Springer
This paper reviews model predictive control (MPC) and its wide applications to both single
and multiple autonomous ground vehicles (AGVs). On one hand, MPC is a well-established …

Energy efficient speed planning of electric vehicles for car-following scenario using model-based reinforcement learning

H Lee, K Kim, N Kim, SW Cha - Applied Energy, 2022 - Elsevier
Eco-driving is a term used to refer to a strategy for operating vehicles so as to minimize
energy consumption. Without any hardware changes, eco-driving is an effective approach to …

Automated eco-driving in urban scenarios using deep reinforcement learning

M Wegener, L Koch, M Eisenbarth, J Andert - Transportation research part …, 2021 - Elsevier
Urban settings are challenging environments to implement eco-driving strategies for
automated vehicles. It is often assumed that sufficient information on the preceding vehicle …

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 …

Path planning and cooperative control for automated vehicle platoon using hybrid automata

Z Huang, D Chu, C Wu, Y He - IEEE Transactions on Intelligent …, 2018 - ieeexplore.ieee.org
Cooperative driving systems may increase the utilization of road infrastructure resources
through coordinated control and platooning of individual vehicles with the potential of …

Interval type-2 fuzzy hierarchical adaptive cruise following-control for intelligent vehicles

H Mo, Y Meng, FY Wang, D Wu - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Intelligent vehicles can effectively improve traffic congestion and road traffic safety. Adaptive
cruise following-control (ACFC) is a vital part of intelligent vehicles. In this paper, a new …

Resilient event-triggered model predictive control for adaptive cruise control under sensor attacks

Z Hu, R Su, K Zhang, Z Xu, R Ma - IEEE/CAA Journal of …, 2023 - ieeexplore.ieee.org
Dear Editor, This letter addresses the resilient model predictive control (MPC) problems for
adaptive cruise control (ACC) systems under sensor attacks. In the light of vulnerabilities of …

Typical-driving-style-oriented personalized adaptive cruise control design based on human driving data

B Zhu, Y Jiang, J Zhao, R He, N Bian… - … research part C: emerging …, 2019 - Elsevier
Reflecting different driving styles in Adaptive Cruise Control (ACC) is of great importance for
its market acceptance. A novel data-based method is presented for designing a …

A Review and Outlook on Predictive Cruise Control of Vehicles and Typical Applications Under Cloud Control System

B Gao, K Wan, Q Chen, Z Wang, R Li, Y Jiang… - Machine Intelligence …, 2023 - Springer
With the application of mobile communication technology in the automotive industry,
intelligent connected vehicles equipped with communication and sensing devices have …

Platooning maneuvers in vehicular networks: A distributed and consensus-based approach

S Santini, A Salvi, AS Valente… - IEEE Transactions …, 2018 - ieeexplore.ieee.org
Cooperative driving is an essential component of future intelligent road systems. It promises
greater safety, reducing accidents due to drivers distraction, improved infrastructure …