Mohammad Shokrolah Shirazi, Hung-Fu Chang, Shiqi Zhang
{"title":"Intersection Evaluation Using Turning Movement Count Data and SUMO","authors":"Mohammad Shokrolah Shirazi, Hung-Fu Chang, Shiqi Zhang","doi":"10.1109/UV56588.2022.10185495","DOIUrl":null,"url":null,"abstract":"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.","PeriodicalId":211011,"journal":{"name":"2022 6th International Conference on Universal Village (UV)","volume":"43 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-10-22","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2022 6th International Conference on Universal Village (UV)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/UV56588.2022.10185495","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
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.
京公网安备 11010802042870号
京ICP备2023020795号-1
分享
求助内容：
应助结果提醒方式：
扫码关注我们
