{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,3,29]],"date-time":"2025-03-29T22:50:52Z","timestamp":1743288652661,"version":"3.38.0"},"reference-count":41,"publisher":"SAGE Publications","issue":"11","license":[{"start":{"date-parts":[[2019,1,29]],"date-time":"2019-01-29T00:00:00Z","timestamp":1548720000000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/journals.sagepub.com\/page\/policies\/text-and-data-mining-license"}],"funder":[{"name":"Humanities and Social Science Foundation of Chinese Ministry of Education","award":["17YJAZH010"],"award-info":[{"award-number":["17YJAZH010"]}]},{"DOI":"10.13039\/501100001809","name":"national natural science foundation of china","doi-asserted-by":"publisher","award":["71871103"],"award-info":[{"award-number":["71871103"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]}],"content-domain":{"domain":["journals.sagepub.com"],"crossmark-restriction":true},"short-container-title":["Transactions of the Institute of Measurement and Control"],"published-print":{"date-parts":[[2019,7]]},"abstract":"<jats:p> When multiple routes connect the same origin and destination (OD), passenger route choices are related to the operation and management of urban rail transit, including the design of the train plan, fare clearing, and passenger distribution. The passengers\u2019 travel data from an automatic fare collection (AFC) system provides useful data for the analysis of passenger route choices. We propose an estimation method of passenger route choices based on AFC data, which includes passenger\u2019s travel time and OD. In this paper, the AFC data used for analysis were mined to eliminate unreasonable individual travel data. In this study, the components of passenger travel times and their influencing factors are analyzed and the results indicate that the travel times are related to the route choices of passengers. Cluster analysis indicated that passenger travel times follow the logarithmic normal distribution. Based on this and a multi-route distribution sample, an estimation model for passenger route choice proportions is proposed. Furthermore, experimental results show that the data mining method has high accuracy and the result also supported the hypothesis about the travel time distribution. The model was applied to the Chengdu metro, which is one of the largest metro systems in the world, and the obtained results indicate that the model works well. In addition to the initial application, the estimation method provides a new method to calculate the route choice proportion for urban rail transit with maximum dependability and timeliness. <\/jats:p>","DOI":"10.1177\/0142331218823855","type":"journal-article","created":{"date-parts":[[2019,1,30]],"date-time":"2019-01-30T05:39:26Z","timestamp":1548826766000},"page":"3092-3102","update-policy":"https:\/\/doi.org\/10.1177\/sage-journals-update-policy","source":"Crossref","is-referenced-by-count":7,"title":["Estimation of passenger route choices for urban rail transit system based on automatic fare collection mined data"],"prefix":"10.1177","volume":"41","author":[{"given":"Gang","family":"Cheng","sequence":"first","affiliation":[{"name":"College of Transportation, Jilin University, China"},{"name":"College of Engineering, Tibet University, China"}]},{"given":"Shuzhi","family":"Zhao","sequence":"additional","affiliation":[{"name":"College of Transportation, Jilin University, China"}]},{"given":"Shengbo","family":"Xu","sequence":"additional","affiliation":[{"name":"Institute of Railway Hub Design and Research, China Railway Design Corporation, Tianjin, China"}]}],"member":"179","published-online":{"date-parts":[[2019,1,29]]},"reference":[{"key":"bibr1-0142331218823855","doi-asserted-by":"publisher","DOI":"10.1016\/j.trc.2016.05.004"},{"key":"bibr2-0142331218823855","doi-asserted-by":"publisher","DOI":"10.1016\/0191-2615(95)00005-X"},{"key":"bibr3-0142331218823855","doi-asserted-by":"publisher","DOI":"10.1016\/j.tranpol.2014.11.005"},{"key":"bibr4-0142331218823855","unstructured":"Chan J (2007) Rail transit OD matrix estimation and journey time reliability metrics using automated fare data. 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