E. Cipriani, Andrea del Giudice, Marialisa Nigro, F. Viti, Guido Cantelmo
{"title":"The Impact of Route Choice Modeling on Dynamic OD Estimation","authors":"E. Cipriani, Andrea del Giudice, Marialisa Nigro, F. Viti, Guido Cantelmo","doi":"10.1109/ITSC.2015.242","DOIUrl":null,"url":null,"abstract":"This paper analyzes the effects of modeling errors when simulating the real route choice behavior on the solution of travel demand estimation. Firstly, several test networks have been adopted to address such issue, showing the sensitivity of the estimation accuracy to route choice parameters. Then, considering the real network case of Rome (Italy), the added value of using information on actual route choices as indirect measurements on the network (as mimicking OD travel times from e.g. Floating Car Data) has been demonstrated.","PeriodicalId":124818,"journal":{"name":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","volume":"20 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2015-09-15","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"9","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2015 IEEE 18th International Conference on Intelligent Transportation Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ITSC.2015.242","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 9
Abstract
This paper analyzes the effects of modeling errors when simulating the real route choice behavior on the solution of travel demand estimation. Firstly, several test networks have been adopted to address such issue, showing the sensitivity of the estimation accuracy to route choice parameters. Then, considering the real network case of Rome (Italy), the added value of using information on actual route choices as indirect measurements on the network (as mimicking OD travel times from e.g. Floating Car Data) has been demonstrated.
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
