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混合交通条件下无信号 T 型交叉口驾驶员两难选择建模:来自印度的案例研究。

Modeling drivers' dilemma at unsignalized T-intersections under mixed traffic conditions: A case study from India.

机构信息

Transportation Engineering, Department of Civil Engineering, National Institute of Technology (NIT) Calicut, Kozhikode, India.

Transportation Engineering, Department of Civil Engineering, Sardar Vallabhbhai National Institute of Technology (SVNIT), Surat, India.

出版信息

Traffic Inj Prev. 2024;25(8):1107-1114. doi: 10.1080/15389588.2024.2376345. Epub 2024 Jul 31.

Abstract

OBJECTIVE

At unsignalized T-intersections, right turning drivers from major or minor roads have to accept or reject the available gap and cross the intersection. Poor judgment may arise risk of collision with the major road conflicting vehicles. Subject drivers intending to cross the intersection encounter wide range of gaps. Drivers accept large gaps and reject small gaps. However, drivers experience dilemma over a wide range of gaps. This study aims to examine dilemma experienced by the right turning drivers by modeling gap acceptance and rejection decisions for estimating dilemma zone boundaries on major road.

METHODS

Videographic method was considered for collecting traffic movement data at unsignalized T-intersections. Traffic video data was collected at three specific unsignalized T-intersections with varying degree of channelization. After this, accepted and rejected gaps with different traffic characteristics of offending vehicles (subject drivers) and conflicting vehicles such as speed, distance, vehicle type, etc. for right turning movements were extracted from the video data to analyze gap acceptance and rejection decisions of the drivers and estimate dilemma zone boundaries.

RESULTS

Gap decisions (acceptance or rejection) were modeled using Generalized Linear Model (GLM) as a function of conflicting vehicle type, speed, and distance from the intersection along with degree of channelization for major and minor roads. The results showed that gap rejection probability increased with increment in conflicting vehicle's speed and decrement in conflicting vehicle's distance from the intersection. Dilemma zone boundaries were obtained using developed GLM models by estimating the conflicting vehicle distance from the intersection for 90% and 10% gap rejection probabilities. Dilemma zone boundaries were observed to shift farther from the intersection with increase in vehicle speed and vehicle size. The analysis revealed that subject drivers experienced more dilemma while accepting a gap from major road as compared to minor road.

CONCLUSIONS

This study showed that channelization plays a major role in mitigating dilemma of the subject drivers. Overall, the study identified dilemma zone boundaries for unsignalized T-intersections which may assist the right turning subject drivers to cross the intersection safely.

摘要

目的

在无信号 T 型交叉口,从主要道路或次要道路右转的驾驶员必须接受或拒绝可用间隙并穿过交叉口。判断失误可能会导致与主要道路冲突车辆发生碰撞的风险。打算穿过交叉口的驾驶员会遇到各种间隙。驾驶员会接受大间隙并拒绝小间隙。然而,驾驶员在广泛的间隙范围内会遇到困境。本研究旨在通过对右转弯驾驶员的间隙接受和拒绝决策进行建模,来研究主要道路上的间隙接受和拒绝决策,以估计困境区域的边界。

方法

采用录像法在无信号 T 型交叉口收集交通运行数据。在三个特定的无信号 T 型交叉口收集交通视频数据,这些交叉口的渠化程度不同。然后,从视频数据中提取出与违规车辆(驾驶员)和冲突车辆(如速度、距离、车辆类型等)的不同交通特征相关的接受和拒绝间隙,以分析驾驶员的间隙接受和拒绝决策,并估计困境区域的边界。

结果

使用广义线性模型 (GLM) 将间隙决策(接受或拒绝)建模为冲突车辆类型、速度以及与交叉口的距离以及主要和次要道路的渠化程度的函数。结果表明,随着冲突车辆速度的增加和冲突车辆距离交叉口的减小,间隙拒绝的概率增加。通过估计 90%和 10%的间隙拒绝概率下冲突车辆与交叉口的距离,利用开发的 GLM 模型获得了困境区域的边界。随着车辆速度和车辆尺寸的增加,困境区域的边界从交叉口进一步移动。分析表明,与次要道路相比,驾驶员在接受来自主要道路的间隙时会遇到更多的困境。

结论

本研究表明,渠化在减轻驾驶员困境方面起着重要作用。总体而言,本研究确定了无信号 T 型交叉口的困境区域边界,这可能有助于右转弯驾驶员安全地穿过交叉口。

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