[HTML][HTML] Model predictive path tracking control for automated road vehicles: A review

P Stano, U Montanaro, D Tavernini, M Tufo… - Annual reviews in …, 2023 - Elsevier
Thanks to their road safety potential, automated vehicles are rapidly becoming a reality. In
the last decade, automated driving has been the focus of intensive automotive engineering …

[HTML][HTML] The relationship between aggressive driving and driver performance: A systematic review with meta-analysis

Z Su, R Woodman, J Smyth, M Elliott - Accident Analysis & Prevention, 2023 - Elsevier
Traffic crashes remain a leading cause of accidental human death where aggressive driving
is a significant contributing factor. To review the driver's performance presented in …

Authority allocation strategy for shared steering control considering human-machine mutual trust level

Z Fang, J Wang, J Liang, Y Yan, D Pi… - IEEE Transactions …, 2023 - ieeexplore.ieee.org
Human-machine mutual trust has become one of the important factors restricting steer-by-
wire vehicles due to the removal of mechanical connections. To this end, this article …

A novel generation-adversarial-network-based vehicle trajectory prediction method for intelligent vehicular networks

L Zhao, Y Liu, AY Al-Dubai, AY Zomaya… - IEEE Internet of …, 2020 - ieeexplore.ieee.org
Prediction of the future location of vehicles and other mobile targets is instrumental in
intelligent transportation system applications. In fact, networking schemes and protocols …

Lane-change intention inference based on RNN for autonomous driving on highways

L Li, W Zhao, C Xu, C Wang, Q Chen… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
Recently, inferring lane change intention has received considerable attention. Due to the
high nonlinearity and complexity of traffic contexts, traditional methods cannot satisfy the …

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 …

[HTML][HTML] Injecting knowledge in data-driven vehicle trajectory predictors

M Bahari, I Nejjar, A Alahi - Transportation research part C: emerging …, 2021 - Elsevier
Vehicle trajectory prediction tasks have been commonly tackled from two distinct
perspectives: either with knowledge-driven methods or more recently with data-driven ones …

A practical trajectory tracking control of autonomous vehicles using linear time-varying MPC method

H Pang, N Liu, C Hu, Z Xu - Proceedings of the Institution of …, 2022 - journals.sagepub.com
With the rapid development and implementation of autonomous vehicles (AVs), the
simultaneous and accurate trajectory tracking problem for such AVs has become a popular …

Holistic adaptive multi-model predictive control for the path following of 4WID autonomous vehicles

Y Liang, Y Li, A Khajepour… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
This paper presents a novel adaptive multiple-model predictive control (MPC) scheme for
Four-Wheel Independent Drive (4WID) autonomous vehicles with a holistic structure. Firstly …

Interaction-aware cut-in trajectory prediction and risk assessment in mixed traffic

X Zhu, W Hu, Z Deng, J Zhang, F Hu… - IEEE/CAA Journal of …, 2022 - ieeexplore.ieee.org
Accurately predicting the trajectories of surrounding vehicles and assessing the collision
risks are essential to avoid side and rear-end collisions caused by cut-in. To improve the …