Expressway Usage Pattern Analysis Based on Tollgate Data: A Case Study of the Shandong Province, China

dc.contributorAalto-yliopistofi
dc.contributorAalto Universityen
dc.contributor.authorWang, Chengchengen_US
dc.contributor.authorDing, Xiaoeen_US
dc.contributor.authorWang, Chaoen_US
dc.contributor.authorLv, Mengqien_US
dc.contributor.authorXu, Runen_US
dc.contributor.authorBi, Yufengen_US
dc.contributor.authorHuang, Zhirenen_US
dc.contributor.departmentDepartment of Computer Scienceen
dc.contributor.organizationShandong Provincial Communications Planning and Design Institute Group Co., Ltden_US
dc.date.accessioned2023-10-18T06:53:19Z
dc.date.available2023-10-18T06:53:19Z
dc.date.issued2023-09-29en_US
dc.description.abstractExpressway transportation is an essential part of regional development. An efficient expressway system can enhance cities’ connectivity and coordinate long-distance trips between urban areas. Understanding how travel demand affects the flow of expressways is crucial to designing an efficient expressway management system. However, congested expressways are substantial obstacles to unimpeded expressway travel. Here, we explore the relationship between demand origin locations and congested expressways. We extract the time-varying OD demand matrix from empirical tollgate data collected in Shandong province, China. The incremental traffic assignment method is introduced to obtain the traffic flow of expressway road segments. It was found that congested expressways were generated due to only a few origin locations. In addition, expressway congestion during peak hours could be effectively alleviated by controlling the travel demand of these origin locations. Therefore, the proposed method can provide a novel perspective for expressway management.en
dc.description.versionPeer revieweden
dc.format.extent14
dc.format.mimetypeapplication/pdfen_US
dc.identifier.citationWang, C, Ding, X, Wang, C, Lv, M, Xu, R, Bi, Y & Huang, Z 2023, 'Expressway Usage Pattern Analysis Based on Tollgate Data: A Case Study of the Shandong Province, China', Journal of Advanced Transportation, vol. 2023, 2910454, pp. 1-14. https://doi.org/10.1155/2023/2910454en
dc.identifier.doi10.1155/2023/2910454en_US
dc.identifier.issn0197-6729
dc.identifier.issn2042-3195
dc.identifier.otherPURE UUID: 8ae5f8de-a53d-4a1f-85f6-6c3816bda7dben_US
dc.identifier.otherPURE ITEMURL: https://research.aalto.fi/en/publications/8ae5f8de-a53d-4a1f-85f6-6c3816bda7dben_US
dc.identifier.otherPURE LINK: https://doi.org/10.1155/2023/2910454en_US
dc.identifier.otherPURE FILEURL: https://research.aalto.fi/files/124497169/Expressway_Usage_Pattern_Analysis_Based_on_Tollgate_Data.pdfen_US
dc.identifier.urihttps://aaltodoc.aalto.fi/handle/123456789/124174
dc.identifier.urnURN:NBN:fi:aalto-202310186523
dc.language.isoenen
dc.publisherWiley
dc.relation.ispartofseriesJournal of Advanced Transportationen
dc.relation.ispartofseriesVolume 2023, pp. 1-14en
dc.rightsopenAccessen
dc.titleExpressway Usage Pattern Analysis Based on Tollgate Data: A Case Study of the Shandong Province, Chinaen
dc.typeA1 Alkuperäisartikkeli tieteellisessä aikakauslehdessäfi
dc.type.versionpublishedVersion

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