Human-like lane change decision model for autonomous vehicles that considers the risk perception of drivers in mixed traffic

C Wang, Q Sun, Z Li, H Zhang - Sensors, 2020 - mdpi.com
Determining an appropriate time to execute a lane change is a critical issue for the
development of Autonomous Vehicles (AVs). However, few studies have considered the rear …

Lane change warning threshold based on driver perception characteristics

C Wang, Q Sun, R Fu, Z Li, Q Zhang - Accident Analysis & Prevention, 2018 - Elsevier
Abstract Lane Change Warning system (LCW) is exploited to alleviate driver workload and
improve the safety performance of lane changes. Depending on the secure threshold, the …

Lane change strategy analysis and recognition for intelligent driving systems based on random forest

Q Sun, C Wang, R Fu, Y Guo, W Yuan, Z Li - Expert Systems with …, 2021 - Elsevier
The development of intelligent connected technology provides a platform for
multidimensional information interaction and makes the recognition of a specific lane …

Prediction of driver's intention of lane change by augmenting sensor information using machine learning techniques

IH Kim, JH Bong, J Park, S Park - Sensors, 2017 - mdpi.com
Driver assistance systems have become a major safety feature of modern passenger
vehicles. The advanced driver assistance system (ADAS) is one of the active safety systems …

Surrounding vehicles' lane change maneuver prediction and detection for intelligent vehicles: A comprehensive review

R Song, B Li - IEEE Transactions on Intelligent Transportation …, 2021 - ieeexplore.ieee.org
Identifying and evaluating the potential risks in the surrounding environment is critical for
intelligent vehicles' safety and user experience. This paper provides a comprehensive …

Design and implementation of human driving data–based active lane change control for autonomous vehicles

H Chae, Y Jeong, H Lee, J Park… - Proceedings of the …, 2021 - journals.sagepub.com
This article describes the design, implementation, and evaluation of an active lane change
control algorithm for autonomous vehicles with human factor considerations. Lane changes …

Emergency vehicle aware lane change decision model for autonomous vehicles using deep reinforcement learning

A Alzubaidi, AS Al Sumaiti, YJ Byon, K Al Hosani - IEEE Access, 2023 - ieeexplore.ieee.org
Autonomous Vehicles (AVs) have advanced rapidly in recent years as they promise to be
safe and minimize the burden coming from the driving task. AVs share the road with various …

Improving the user acceptability of advanced driver assistance systems based on different driving styles: A case study of lane change warning systems

C Wang, Q Sun, Y Guo, R Fu… - IEEE Transactions on …, 2019 - ieeexplore.ieee.org
The low user acceptability of advanced driver assistance systems (ADASs) is one of the
fundamental problems limiting their wider adoption. One of the key factors affecting the …

Lane change decision-making with active interactions in dense highway traffic: A Bayesian game approach

Z Deng, W Hu, Y Yang, K Cao, D Cao… - 2022 IEEE 25th …, 2022 - ieeexplore.ieee.org
It is foreseeable that automated and human-driven vehicles will coexist in a mixed traffic
environment in the predictable future. One of the crucial tasks of automated vehicles is to …

Humanlike decision and motion planning for expressway lane changing based on artificial potential field

P Wu, F Gao, K Li - IEEE Access, 2022 - ieeexplore.ieee.org
The autonomous vehicles (AVs) need to share the driving environment with the human
driving vehicles (HDVs) on expressway in the future. The non-humanlike lane changing (LC) …