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基于模糊元胞自动机的驾驶人决策条件下信号交叉口右转待行区的安全影响

Safety impact of right-turn waiting area at signalised junctions conditioned on driver's decision-making based on fuzzy cellular automata.

机构信息

Transport Research Centre, College of Engineering, Nanyang Technological University, Singapore; School of Civil and Environmental Engineering, Nanyang Technological University, Singapore.

Transport Research Centre, College of Engineering, Nanyang Technological University, Singapore; School of Civil and Environmental Engineering, Nanyang Technological University, Singapore.

出版信息

Accid Anal Prev. 2019 Feb;123:341-349. doi: 10.1016/j.aap.2018.12.008. Epub 2018 Dec 20.

Abstract

Right-turn waiting area (RWA) is a short demarcated queueing area ahead of the stop line that allows the right-turn vehicles at signalised junctions under the permissive filtering signal operation to proceed into the junction-box at the onset of full green signal phase. The RWA layout gives guidance to vehicle placement of turning vehicles which improves safety and mitigates vehicle queue overflow of the right-turn vehicles. RWA enhances the capacity of right-turn lanes while alleviating conflict severity in some cases. This study analysed the safety impact of the conflict between opposing straight-through vehicles and right-turn vehicles at RWA junctions in Singapore. A microscopic simulation model based on Fuzzy Cellular Automata (FCA) was developed. Field surveys were carried out to obtain the inputs for calibrating the fuzzy inference system. Different scenarios were analysed and discussed including different types of junctions with and without RWAs. The proposed model is found to be able to simulate decision-making of individual drivers at RWA or before stop line, such as exiting the queueing area or crossing the stop line when faced with different gaps and velocity of opposing straight-through vehicles.

摘要

右转等待区 (RWA) 是停车线前方划定的短排队区域,允许信号控制交叉口下的允许过滤信号操作的右转车辆在全绿信号相位开始时进入交叉口箱。RWA 布局为转弯车辆的车辆停放提供指导,这提高了安全性并减轻了右转车辆的车队溢出。RWA 提高了右转车道的容量,同时在某些情况下减轻了冲突的严重程度。本研究分析了新加坡 RWA 交叉口直行车和右转车之间冲突对安全的影响。开发了基于模糊元胞自动机 (FCA) 的微观模拟模型。进行了实地调查以获得用于校准模糊推理系统的输入。分析和讨论了不同的场景,包括有和没有 RWA 的不同类型的交叉口。所提出的模型能够模拟 RWA 或停车线前的单个驾驶员的决策,例如在面对不同的间隙和直行车速度时退出排队区域或越过停车线。

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