A Comprehensive Review of Car-Following Models: Heterogeneous Non-Lane-Based Traffic Viewpoint

被引:0
|
作者
Surya, H. R. [1 ]
Maurya, Akhilesh Kumar [1 ]
Arkatkar, Shriniwas [2 ]
机构
[1] Indian Inst Technol Guwahati, Gauhati 781039, India
[2] Sardar Vallabhbhai Natl Inst Technol, Surat 395007, India
来源
TRAFFIC AND GRANULAR FLOW 2022, TGF 2022 | 2024年 / 443卷
关键词
Car-Following Model; Heterogeneous Non-Lane-Based; Mixed Traffic; Leader-Follower; BEHAVIOR; STREAMS;
D O I
10.1007/978-981-99-7976-9_37
中图分类号
TP39 [计算机的应用];
学科分类号
081203 ; 0835 ;
摘要
Car-Following Models (CFMs) are the mathematical representations of interaction between two sequential vehicles, leader and follower, in the same lane. Most studies on car-following have been conducted on lane-based traffic in developed countries. The mixed traffic of developing countries with high heterogeneity and weak to no lane discipline create a complex system which is quite challenging to model. There are quite a few commendable studies on modelling and understanding the complex driving behaviour of the mixed traffic. The present study aims to provide an organized review of appropriate longitudinal movement models/CFMs in the context of mixed traffic and reviews the studies on critical factors influencing longitudinal driving behaviour. Contemplating these determinants, this study investigates four CFMs. Further, the strengths and limitations of each model are discussed, and the possibilities of their combination, extension or modification are explained. These models consider two or more of the seven determinants shortlisted in this study. The importance of each determinant factor and its role in better understanding the microscopic behaviour of mixed traffic are also discussed.
引用
收藏
页码:303 / 310
页数:8
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