Comprehensive Review of Traffic Modeling: Towards Autonomous Vehicles

被引:0
|
作者
Lach, Lukasz [1 ]
Svyetlichnyy, Dmytro [1 ]
机构
[1] AGH Univ Krakow, Fac Met Engn & Ind Comp Sci, PL-30059 Krakow, Poland
来源
APPLIED SCIENCES-BASEL | 2024年 / 14卷 / 18期
关键词
autonomous vehicle; traffic flow; modeling; simulation platforms; CAR-FOLLOWING MODEL; MACROSCOPIC FUNDAMENTAL DIAGRAM; INTELLIGENT DRIVER MODEL; CELL TRANSMISSION MODEL; KINEMATIC WAVE THEORY; CAPACITY DROP; PHASE-TRANSITIONS; FLOW MODELS; SIMULATION; HYSTERESIS;
D O I
10.3390/app14188456
中图分类号
O6 [化学];
学科分类号
0703 ;
摘要
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.
引用
收藏
页数:50
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