Safe and optimal lane-change path planning for automated driving

Y Ding, W Zhuang, L Wang, J Liu… - Proceedings of the …, 2021 - journals.sagepub.com
… This paper proposes an integrated lane-change trajectory planning method for advanced …
and automated vehicles. First, the time-based quintic polynomial automated lane-change

Driving decision and control for automated lane change behavior based on deep reinforcement learning

T Shi, P Wang, X Cheng, CY Chan… - 2019 IEEE intelligent …, 2019 - ieeexplore.ieee.org
… for the car-following decision. Therefore, in this subsection, we describe how to execute the
lane change movement when the automated vehicle acquires a lane change signal from the …

An intelligent lane-changing behavior prediction and decision-making strategy for an autonomous vehicle

W Wang, T Qie, C Yang, W Liu… - IEEE transactions on …, 2021 - ieeexplore.ieee.org
… uncertain lane-changing behaviors around autonomous vehicles, … lane-changing behaviors
should be predicted in complex environments. Through the prediction, autonomous vehicles

Recent advances in motion and behavior planning techniques for software architecture of autonomous vehicles: A state-of-the-art survey

O Sharma, NC Sahoo, NB Puhan - Engineering applications of artificial …, 2021 - Elsevier
… , so we are considering such types of approaches in behavior planning. … feasible trajectory
to follow by driverless vehicle. The behavior planner also may change the final path based on …

An integrated framework of decision making and motion planning for autonomous vehicles considering social behaviors

P Hang, C Lv, C Huang, J Cai, Z Hu… - IEEE transactions on …, 2020 - ieeexplore.ieee.org
… for autonomous vehicles to realize automatic lane change and car following [18], [19]. In a
connected vehicular environment, game theory is used to predict the lane change behavior [20…

Personalized trajectory planning and control of lane-change maneuvers for autonomous driving

C Huang, H Huang, P Hang, H Gao… - IEEE Transactions …, 2021 - ieeexplore.ieee.org
… of trajectory planning and control based on user preferences is developed for lane-change
of autonomous vehicles in this paper. First, a safe area during the lane change process is …

A novel lane change decision-making model of autonomous vehicle based on support vector machine

Y Liu, X Wang, L Li, S Cheng, Z Chen - IEEE access, 2019 - ieeexplore.ieee.org
… for connected autonomous vehicles to … lane and choose a new lane requires in-depth
analysis. This paper will analyze autonomous lane change from three aspects: lane change benefit…

Trajectory planning for connected and automated vehicles at isolated signalized intersections under mixed traffic environment

C Ma, C Yu, X Yang - Transportation research part C: emerging …, 2021 - Elsevier
… mandatory lane changing is inevitable at urban intersections. Although studies in the research
area on automatic vehicle control have investigated two-dimensional trajectory planning

Robust lane change decision making for autonomous vehicles: An observation adversarial reinforcement learning approach

X He, H Yang, Z Hu, C Lv - … Transactions on Intelligent Vehicles, 2022 - ieeexplore.ieee.org
… for robust lane change decision making of autonomous vehicles. A CORMDP is presented
to model lane change decision making behaviors of autonomous vehicles under policy …

Decision making of autonomous vehicles in lane change scenarios: Deep reinforcement learning approaches with risk awareness

G Li, Y Yang, S Li, X Qu, N Lyu, SE Li - Transportation research part C …, 2022 - Elsevier
… for autonomous vehicles (AVs). To ensure driving safety, we proposed a lane change
decision strategy with the minimum expected risk for autonomous driving. Firstly, a probabilistic-…