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Driving behaviour modelling in the context of heterogeneous traffic and poor lane discipline conditions: the state of the art and beyond
Transportmetrica A: Transport Science ( IF 3.3 ) Pub Date : 2021-01-18 , DOI: 10.1080/23249935.2020.1870581
Md. Shafiul Azam 1 , Ashish Bhaskar 1 , Md. Mazharul Haque 1
Affiliation  

ABSTRACT

This paper comprehensively reviews driving behaviour in the context of heterogeneous traffic and poor lane discipline condition. Organising such driving behaviour models into two main groups (lateral movement model and longitudinal movement model), the systematic review primarily focusses on chronological development of the studies, intricate components of modelling framework (input and output variables, their selection procedure, methodology, calibration and validation) and strength and limitations of each model. In addition, the models are also scrutinised to determine to what extent they are applicable to capture the complex interaction of various vehicle types in poor or no lane discipline condition. Finally, the state-of-the-art is compared with the universal modelling requirement to pinpoint the research gap, provide appropriate direction to bridge the gap and develop a comprehensive model of driving behaviour in heterogeneous and non-lane-based traffic condition.



中文翻译:

异构交通和不良车道纪律条件下的驾驶行为建模:最先进及超越

摘要

本文全面回顾了异构交通和车道纪律状况不佳的背景下的驾驶行为。将此类驾驶行为模型分为两大类(横向运动模型和纵向运动模型),系统回顾主要关注研究的时间发展、建模框架的复杂组成部分(输入和输出变量、它们的选择程序、方法、校准和验证)以及每个模型的强度和局限性。此外,还对模型进行了仔细检查,以确定它们在多大程度上适用于捕捉各种车辆类型在不良或无车道纪律条件下的复杂相互作用。最后,将最新技术与通用建模要求进行比较,以确定研究差距,

更新日期:2021-01-18
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