Comprehensive Review of Traffic Modeling: Towards Autonomous Vehicles

Autonomous vehicles (AVs) have the potential to revolutionize transportation by offering safer, more efficient, and convenient mobility solutions. As AV technology advances, there is a growing need to understand and model traffic dynamics in environments where AVs interact with human-driven vehicles. This review provides a comprehensive overview of the modeling techniques used to simulate and analyze autonomous vehicle traffic. It covers the fundamental principles of AVs, key factors influencing traffic dynamics, various modeling approaches, their applications, challenges, and future directions in AV traffic modeling.

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Publication Details

Journal
Applied Sciences
Published
2024-09-19
DOI
https://doi.org/10.3390/app14188456
Citations
15
Primary Topic
Traffic control and management
Type
article
Field-Weighted Citation Impact
4.92

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article

Comprehensive Review of Traffic Modeling: Towards Autonomous Vehicles

Dmytro Svyetlichnyy, Łukasz Łach
15 citations
Applied Sciences
Traffic control and management
4.92
article

Comprehensive Review of Traffic Modeling: Towards Autonomous Vehicles

Dmytro Svyetlichnyy, Łukasz Łach
article en
15 citations

Abstract

Autonomous vehicles (AVs) have the potential to revolutionize transportation by offering safer, more efficient, and convenient mobility solutions. As AV technology advances, there is a growing need to understand and model traffic dynamics in environments where AVs interact with human-driven vehicles. This review provides a comprehensive overview of the modeling techniques used to simulate and analyze autonomous vehicle traffic. It covers the fundamental principles of AVs, key factors influencing traffic dynamics, various modeling approaches, their applications, challenges, and future directions in AV traffic modeling.

Applied SciencesVol. 14(18)
AGH University of Krakow (PL)
Ministerstwo Edukacji i Nauki
Openalex Percentile: Top 4%
Traffic control and management
4.92
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