基于转向运动计数数据和相扑的交叉口评价

Mohammad Shokrolah Shirazi, Hung-Fu Chang, Shiqi Zhang
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引用次数: 0

摘要

转弯运动计数(TMC)是用于十字路口设计和规划的重要数据源,包括标志,信号安装,定时设置以及交通和容量分析。本文提出了一个典型的框架,利用TMC数据与模拟城市交通(SUMO)软件来模拟真实的交通场景,以进行交叉路口的评估和分析。出于对校园区域安全和机动性的考虑,我们选择了圣何塞州立大学周围的三个十字路口,并将其相应的转弯运动数据移植到SUMO中,以便在上午8点至9点的高峰时段进行十字路口评估。从每个交叉口仿真中提取的交通参数是车辆等待时间、速度和网络流链路,这表明利用该方法进行决策和针对交叉口进行信号优化的有效性。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Intersection Evaluation Using Turning Movement Count Data and SUMO
The turning movement count (TMC) is a salient data source used for design and planning of intersections including sign, and signal installation, timing setup, as well as traffic and capacity analysis. This work presents a typical framework for utilizing the TMC data with simulation of Urban MObility (SUMO) software to mimic realistic traffic scenarios for intersection evaluation and analysis. Due to safety and mobility concerns regarding school campus zones, three intersections around the San Jose State university are selected and their corresponding turning movement data are ported into SUMO for intersection evaluation during peak hours occurred between 8:00 - 9:00 a.m. The traffic parameters extracted from each intersection simulation with realistic scenario are vehicles waiting time, speed and network flow links which imply the effectiveness of utilizing proposed approach for decision making and targeting intersections for signal optimization.
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