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
… motion planning based methods are often inspired by the robot motion planning algorithm, …
mentioned risk insensitive problem in lane change scenarios, risk assessment and DRL were …

Driver lane change intention inference for intelligent vehicles: Framework, survey, and challenges

Y Xing, C Lv, H Wang, H Wang, Y Ai… - IEEE Transactions …, 2019 - ieeexplore.ieee.org
… be used to analyze the conflict situations. However, the situation assessment and understanding
can be … The proposed method provides a reliable estimation of the future planning of the …

Examining lane change gap acceptance, duration and impact using naturalistic driving data

M Yang, X Wang, M Quddus - Transportation research part C: emerging …, 2019 - Elsevier
… With accurate and robust lane change decision-making, planning, and controlling systems,
ADAS and CAVs can make progress toward achieving global optimization objectives such as …

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
… adapt to real-life road conditions [17]. Although, … lane change and car following [18], [19]. In
a connected vehicular environment, game theory is used to predict the lane change behavior […

Lane change decision-making through deep reinforcement learning with rule-based constraints

J Wang, Q Zhang, D Zhao… - 2019 International Joint …, 2019 - ieeexplore.ieee.org
… 4) Rule-based constraints To ensure the absolute security of the lane changing behavior,
we add the rule-based constraints based on the planning trajectories and the others’ predicted …

An ensemble deep learning approach for driver lane change intention inference

Y Xing, C Lv, H Wang, D Cao, E Velenis - Transportation Research Part C …, 2020 - Elsevier
… However, the strategical plan of the route and the utilization of the digital … analysis of the
lane change maneuver is conducted based on the critical driving conditions of the lane change

Driving behavior analysis guidelines for intelligent transportation systems

MN Azadani, A Boukerche - IEEE transactions on intelligent …, 2021 - ieeexplore.ieee.org
… To this end, we propose categorizing the current research on driving behavior based on
the types of data employed for the analysis, the ultimate goals of the analysis, and the …

Dynamic trajectory planning and tracking control for lane change of intelligent vehicle based on trajectory preview

Z Nie, W Wang, W Zhao, Z Huang, CF Zong - J. Traffic Transp. Eng, 2020 - jygc.chd.edu.cn
changes of vehicles in the target lane in the actual traffic environment, a dynamic planning
algorithm for the lane change … The maximum longitudinal length of lane change trajectory of …

A review of motion planning for highway autonomous driving

L Claussmann, M Revilloud, D Gruyer… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
… For example, in [39], the authors focus on the specific actions of lane changing and merging
maneuvers on highways. In this review, we consider a situation only as a specific set of …

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
… vehicle lane change mainly focused on path planning and … original lane and choose a new
lane requires in-depth analysis. … autonomous lane change from three aspects: lane change