Driver Lane-changing and Intelligent Vehicles Lane-changing Duration: State of the Art

Existing research on lane-changing duration is still in need of breakthroughs, such as unclear interaction mechanism, unknown influence of heterogeneous vehicle types, and unquantified characterization of directional differences in lane-changing. In this regard, firstly the lane-changing data collection, lane-changing duration extraction, and the corresponding studies on the distribution of lane-changing duration were analyzed. The features of lane-changing duration for naturalistic driving were investigated, and various opinions of different scholars on the qualitative analysis of the influencing factors of lane-changing duration were reviewed. Finally, the research on modelling strategies for lane-changing duration was summarized from the perspective of mechanism modelling and data-driven approaches. In view of the limitations of the existing research, the outlook was proposed in terms of quantitative characterization of influencing factors and further optimization of model interpretability, which could provide research references for the improvement and enhancement of the theory of lane-changing duration and the design of autonomous lane-changing system for intelligent vehicles.

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Publication Details

Published
2024-10-25
DOI
https://doi.org/10.1109/cvci63518.2024.10830130
Citations
2
Primary Topic
Autonomous Vehicle Technology and Safety
Type
article
Field-Weighted Citation Impact
0.41

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article

Driver Lane-changing and Intelligent Vehicles Lane-changing Duration: State of the Art

Qiaobin Liu, Fan Yang
2 citations
Autonomous Vehicle Technology and Safety
0.41
article

Driver Lane-changing and Intelligent Vehicles Lane-changing Duration: State of the Art

Qiaobin Liu, Fan Yang
article en
2 citations

Abstract

Existing research on lane-changing duration is still in need of breakthroughs, such as unclear interaction mechanism, unknown influence of heterogeneous vehicle types, and unquantified characterization of directional differences in lane-changing. In this regard, firstly the lane-changing data collection, lane-changing duration extraction, and the corresponding studies on the distribution of lane-changing duration were analyzed. The features of lane-changing duration for naturalistic driving were investigated, and various opinions of different scholars on the qualitative analysis of the influencing factors of lane-changing duration were reviewed. Finally, the research on modelling strategies for lane-changing duration was summarized from the perspective of mechanism modelling and data-driven approaches. In view of the limitations of the existing research, the outlook was proposed in terms of quantitative characterization of influencing factors and further optimization of model interpretability, which could provide research references for the improvement and enhancement of the theory of lane-changing duration and the design of autonomous lane-changing system for intelligent vehicles.

South China University of Technology (CN)
National Natural Science Foundation of China
Sustainable cities and communities
Openalex Percentile: Top 37%
Autonomous Vehicle Technology and Safety
0.41
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Driver Lane-changing and Intelligent Vehicles Lane-changing Duration: State of the Art — Qiaobin Liu, Fan Yang · (2024) | TGRS Research Map | TGRS