{"title":"The OD matrix estimation model of passenger flow based on the POI around the bus station","authors":"Jia Wang, Yang-Lingzhi Yang, Bo Zhou, S. Patnaik","doi":"10.1504/IJADS.2017.10004135","DOIUrl":null,"url":null,"abstract":"In this paper, an optimised model that is based on the existing flow of bus passengers OD estimation model is established sufficiently. First of all, by analysing the types and quantities related to the point of interest around the bus station, the intensity of land utilisation surrounding the bus station is identified, and then combining this factor with the principle that the probability of the number of travel stations obeys the characteristics of Poisson distribution, a new improved flow of bus passengers OD estimation model is set up eventually. At last, comparing the estimation results of OD from the former and the improved model through the example test, the result shows that the improved flow of bus passengers OD estimation model is more accurate than before, so that this new model can provide more reliable and practical data support for optimisation of public transit line network.","PeriodicalId":216414,"journal":{"name":"Int. J. Appl. Decis. Sci.","volume":"8 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2017-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"1","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Int. J. Appl. Decis. Sci.","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1504/IJADS.2017.10004135","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 1
Abstract
In this paper, an optimised model that is based on the existing flow of bus passengers OD estimation model is established sufficiently. First of all, by analysing the types and quantities related to the point of interest around the bus station, the intensity of land utilisation surrounding the bus station is identified, and then combining this factor with the principle that the probability of the number of travel stations obeys the characteristics of Poisson distribution, a new improved flow of bus passengers OD estimation model is set up eventually. At last, comparing the estimation results of OD from the former and the improved model through the example test, the result shows that the improved flow of bus passengers OD estimation model is more accurate than before, so that this new model can provide more reliable and practical data support for optimisation of public transit line network.