{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,1,23]],"date-time":"2026-01-23T19:39:55Z","timestamp":1769197195121,"version":"3.49.0"},"reference-count":34,"publisher":"MDPI AG","issue":"2","license":[{"start":{"date-parts":[[2015,6,4]],"date-time":"2015-06-04T00:00:00Z","timestamp":1433376000000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"DOI":"10.13039\/501100001809","name":"the National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["50908099"],"award-info":[{"award-number":["50908099"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"the Humanity and Social Science Youth foundation of Ministry of Education","award":["14YJC630225"],"award-info":[{"award-number":["14YJC630225"]}]},{"name":"the China Postdoctoral Science Special Foundation","award":["2014M551191"],"award-info":[{"award-number":["2014M551191"]}]},{"name":"Jilin University outstanding youth fund","award":["2013JQ007"],"award-info":[{"award-number":["2013JQ007"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Information"],"abstract":"<jats:p>Travel mode identification is one of the essential steps in travel information detection with Global Positioning System (GPS) survey data. This paper presents a Support Vector Classification (SVC) model for travel mode identification with GPS data.  Genetic algorithm (GA) is employed for optimizing the parameters in the model. The travel modes of walking, bicycle, subway, bus, and car are recognized in this model. The results indicate that the developed model shows a high level of accuracy for mode identification. The estimation results also present GA\u2019s contribution to the optimization of the model. The findings can be used to identify travel mode based on GPS survey data, which will significantly enhance the efficiency and accuracy of travel survey and data processing. By providing crucial trip information, the results also contribute to the modeling and analyzing of travel behavior and are readily applicable to a wide range of transportation practices.<\/jats:p>","DOI":"10.3390\/info6020212","type":"journal-article","created":{"date-parts":[[2015,6,4]],"date-time":"2015-06-04T11:54:59Z","timestamp":1433418899000},"page":"212-227","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":14,"title":["Identifying Travel Mode with GPS Data Using Support Vector Machines and Genetic Algorithm"],"prefix":"10.3390","volume":"6","author":[{"given":"Fang","family":"Zong","sequence":"first","affiliation":[{"name":"College of Transportation, Jilin University, Changchun 130022, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yu","family":"Bai","sequence":"additional","affiliation":[{"name":"College of Transportation, Jilin University, Changchun 130022, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Xiao","family":"Wang","sequence":"additional","affiliation":[{"name":"College of Transportation, Jilin University, Changchun 130022, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yixin","family":"Yuan","sequence":"additional","affiliation":[{"name":"College of Transportation, Jilin University, Changchun 130022, China"}],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Yanan","family":"He","sequence":"additional","affiliation":[{"name":"College of Transportation, Jilin University, Changchun 130022, China"}],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"1968","published-online":{"date-parts":[[2015,6,4]]},"reference":[{"key":"ref_1","first-page":"367","article-title":"Household travel surveys: Where are we going?","volume":"41","author":"Stopher","year":"2007","journal-title":"Transport Res A."},{"key":"ref_2","unstructured":"Stopher, P.R., and Metcalf, H.M.A. (1996). 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