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The Impact of Pedestrian and Nonmotorized Vehicle Violations on Vehicle Emissions at Signalized Intersections in the Real World: A Case Study in Beijing

机译:行人和非家庭车辆违规对现实世界中信号交叉口的车辆排放的影响 - 以北京为例

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Emission around intersections has become an issue in the urban traffic network. This paper aims to investigate the impact of pedestrian and nonmotorized vehicle violations on emissions at mixed-traffic flow intersection based on the volumes of vehicles, nonmotor vehicles, and pedestrians. Also, it focuses on the arterial and collector intersections with high vehicle volume and limited space. Running red light and crossing intersection diagonally are two critical violations, accounting for 91.75% of effective violations (interference with vehicles’ operation). In this context, a violation blocking model is developed to estimate the blocking probability for each vehicle based on the volumes of pedestrians and nonmotor vehicles. The model includes two scenarios. (1) Through phase: the violation blocking model of running red light is developed based on the survival curve (the relationship between waiting time and running red light probability). (2) Left-turn phase: the violation blocking model at this phase includes two parts: (i) crossing the intersection diagonally model is developed for the first vehicle and (ii) running red light model is developed for subsequent vehicles. The existing emission model can estimate the emissions based on the blocking positions. In the case study, emissions increase with the vehicle volume approaching the saturated flow rate and the volumes of nonmotor vehicles and pedestrians increasing. Results show that the maximum emission increase of CO (carbon monoxide) for through phase and left-turn phase can reach 16.7% and 36.4%.
机译:交叉路口的排放已成为城市交通网络的问题。本文旨在调查行人和非家庭车辆违规对混合交通流交叉口排放的影响,基于车辆,非工具和行人的卷。此外,它专注于具有高车辆体积和有限空间的动脉和收集器交叉口。沿着对角的红光和交叉口交叉口是两个关键违规行为,占有效违规行为的91.75%(对车辆的干扰)。在这种情况下,开发了一种违规的阻塞模型以基于行人和非运动车辆的体积来估计每个车辆的阻塞概率。该模型包括两个场景。 (1)通过阶段:基于生存曲线(等待时间与红光概率之间的关系)开发了运行红光的违规阻塞模型。 (2)左转阶段:该阶段的违规阻塞模型包括两个部分:(i)交叉口对角模型开发用于第一车辆的第一辆车,并且为后续车辆开发了运行红光模型。现有的发射模型可以基于阻挡位置估计排放。在案例研究中,排放随着车辆体积的增加而接近饱和流速和非等车辆和行人的增加。结果表明,通过相和左转阶段的CO(一氧化碳)的最大排放增加可达到16.7%和36.4%。

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