Analyzing and enhancing motorized two-wheeler overtaking safety: A comprehensive study on two-way two-lane urban roads.

IF 1.6 3区 工程技术 Q3 PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH
Momi Deb, Maddu Kamalnath, Shemin Almas Majumder, Suprava Jena
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引用次数: 0

Abstract

Objective: Motorized two-wheelers (MTW) are popular in congested urban areas with heavy traffic since they offer a quick and adaptable means of transportation. Overtaking and lane changing manoeuvers happen when traffic does not flow at the intended speed. They cannot be avoided, especially in mixed traffic scenarios when there is a constant speed differential between fastmoving and slow-moving cars. Collisions during overtaking manoeuvers are one of the leading causes of motorized two-wheeler injuries/fatalities among crashes involving motorized two-wheelers. Considering these issues, there is a need to perform thorough analysis of the overtaking manoeuverability of MTW on two-way two-lane urban roads.

Methodology: The study utilized a video-graphic survey conducted in Guwahati and Silchar, India, with data extraction performed through Kinovea. The study focused on predicting the maneuverability of motorized two-wheelers (MTW) during overtaking, employing binary logit modeling (BLM) after identifying relevant influencing factors. To evaluate prediction capabilities, the performance of BLM, support vector machine (SVM) and decision tree were compared. Additionally, a decision tree was constructed to provide guidance to MTW riders during overtaking maneuvers on two-way two-lane urban roads.

Results: The essential input variables for the BLM included the speed of the subject motorized two-wheeler (MTW), the overtaken vehicle, and the oncoming vehicle, along with the presence of a pillion rider, as well as lateral and longitudinal distances. The performance metrics derived from the confusion matrix indicated that SVM outperformed BLM and decision tree. The decision tree provides a descriptive insight of the observed behavior of MTW riders on the selected road stretches.

Conclusion: The findings of this research can be adopted for developing an Advanced Driver Assistance System (ADAS) aimed at enhancing the safety of MTW riders during overtaking maneuvers on two-way two-lane roads in urban areas.

目的:机动两轮车(MTW)在交通拥挤的城市地区很受欢迎,因为它们是一种快速、适应性强的交通工具。当交通流量没有达到预期速度时,就会发生超车和变道动作。这种情况无法避免,特别是在混合交通情况下,快速行驶的车辆和慢速行驶的车辆之间存在持续的速度差。在涉及机动两轮车的碰撞事故中,超车过程中的碰撞是造成机动两轮车人员伤亡的主要原因之一。考虑到这些问题,有必要对 MTW 在双向双车道城市道路上的超车机动性进行全面分析:研究利用在印度古瓦哈提和锡尔查进行的视频图像调查,并通过 Kinovea 进行数据提取。研究重点是在确定相关影响因素后,采用二元对数模型(BLM)预测机动两轮车(MTW)在超车过程中的可操控性。为了评估预测能力,比较了 BLM、支持向量机(SVM)和决策树的性能。此外,还构建了一棵决策树,为在双向双车道城市道路上超车的 MTW 驾驶员提供指导:BLM的基本输入变量包括目标电动两轮车(MTW)、被超车辆和迎面而来车辆的速度,以及是否有骑手以及横向和纵向距离。从混淆矩阵得出的性能指标表明,SVM 的性能优于 BLM 和决策树。决策树提供了在选定路段上观察到的 MTW 骑行者行为的描述性洞察力:本研究的结论可用于开发高级驾驶辅助系统(ADAS),以提高城市地区双向双车道道路上 MTW 驾驶员超车时的安全性。
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来源期刊
Traffic Injury Prevention
Traffic Injury Prevention PUBLIC, ENVIRONMENTAL & OCCUPATIONAL HEALTH-
CiteScore
3.60
自引率
10.00%
发文量
137
审稿时长
3 months
期刊介绍: The purpose of Traffic Injury Prevention is to bridge the disciplines of medicine, engineering, public health and traffic safety in order to foster the science of traffic injury prevention. The archival journal focuses on research, interventions and evaluations within the areas of traffic safety, crash causation, injury prevention and treatment. General topics within the journal''s scope are driver behavior, road infrastructure, emerging crash avoidance technologies, crash and injury epidemiology, alcohol and drugs, impact injury biomechanics, vehicle crashworthiness, occupant restraints, pedestrian safety, evaluation of interventions, economic consequences and emergency and clinical care with specific application to traffic injury prevention. The journal includes full length papers, review articles, case studies, brief technical notes and commentaries.
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