A novel lane change decision-making model of autonomous vehicle based on support vector machine
Autonomous driving is a crucial issue of the automobile industry, and research on lane
change is its significant part. Previous works on the autonomous vehicle lane change mainly …
change is its significant part. Previous works on the autonomous vehicle lane change mainly …
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
Abstract Analysis of lane change is important for microsimulation and safety improvement,
and can also provide reference for advanced driver assistance systems (ADAS) and …
and can also provide reference for advanced driver assistance systems (ADAS) and …
Understanding the discretionary lane-changing behaviour in the connected environment
Discretionary lane-changing (DLC) is one of the complex driving manoeuvres that requires
surrounding traffic information for efficient and safe manoeuvring. The connected …
surrounding traffic information for efficient and safe manoeuvring. The connected …
A novel lane-changing decision model for autonomous vehicles based on deep autoencoder network and XGBoost
X Gu, Y Han, J Yu - IEEE Access, 2020 - ieeexplore.ieee.org
Lane-changing (LC) is a critical task for autonomous driving, especially in complex dynamic
environments. Numerous automatic LC algorithms have been proposed. This topic …
environments. Numerous automatic LC algorithms have been proposed. This topic …
Analysing and modelling of discretionary lane change duration considering driver heterogeneity
This paper aims to investigate the characteristics of discretionary lane change (LC) duration
on freeways based on an enriched dataset that contains the LC vehicle trajectories of 2905 …
on freeways based on an enriched dataset that contains the LC vehicle trajectories of 2905 …
A unified modeling framework for lane change intention recognition and vehicle status prediction
R Yuan, M Abdel-Aty, X Gu, O Zheng… - Physica A: Statistical …, 2023 - Elsevier
Accurately detecting and predicting Lane Change (LC) processes of human-driven vehicles
can help autonomous vehicles better understand their surrounding environment, recognize …
can help autonomous vehicles better understand their surrounding environment, recognize …
Application of machine learning algorithms in lane-changing model for intelligent vehicles exiting to off-ramp
The primary objective of this study is to evaluate how intelligent vehicles equipped with
cooperative adaptive cruise control (CACC) improve freeway efficiency and safety at an off …
cooperative adaptive cruise control (CACC) improve freeway efficiency and safety at an off …
Time-varying mixed logit model for vehicle merging behavior in work zone merging areas
J Weng, G Du, D Li, Y Yu - Accident Analysis & Prevention, 2018 - Elsevier
This study aims to develop a time-varying mixed logit model for the vehicle merging
behavior in work zone merging areas during the merging implementation period from the …
behavior in work zone merging areas during the merging implementation period from the …
Using graph-theoretic machine learning to predict human driver behavior
Studies have shown that autonomous vehicles (AVs) behave conservatively in a traffic
environment composed of human drivers and do not adapt to local conditions and socio …
environment composed of human drivers and do not adapt to local conditions and socio …
Virtual-to-real knowledge transfer for driving behavior recognition: Framework and a case study
Considering the difficulty and high cost of collecting sufficient data in the real world, driving
simulators are used in many studies as an alternative data source, which can provide a …
simulators are used in many studies as an alternative data source, which can provide a …