{"title":"Online Vehicle Dispatch: from Assignment to Scheduling","authors":"Kangjia Zhao, Wenqing Chen, Kong-wei Lye","doi":"10.1109/ICDMW.2018.00094","DOIUrl":null,"url":null,"abstract":"The available prior demand data will make it possible for the ride hailing platform to make the central control strategies, which plan a sequence of trips for drivers in a certain future time period, so that a system optimal vehicle dispatch could be achieved. However, handling a large scale booking requests within the restrictive computing time to achieve an optimal vehicle dispatch is a big challenge. This paper proposes an optimization framework for the online vehicle dispatch problem by adopting vehicle scheduling methodology. A novel approach is introduced to solve the optimization challenges of the large problem size and the limited computing time. The designed optimization framework is validated by the real-world demand data in Singapore.","PeriodicalId":259600,"journal":{"name":"2018 IEEE International Conference on Data Mining Workshops (ICDMW)","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2018-11-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2018 IEEE International Conference on Data Mining Workshops (ICDMW)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICDMW.2018.00094","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3
Abstract
The available prior demand data will make it possible for the ride hailing platform to make the central control strategies, which plan a sequence of trips for drivers in a certain future time period, so that a system optimal vehicle dispatch could be achieved. However, handling a large scale booking requests within the restrictive computing time to achieve an optimal vehicle dispatch is a big challenge. This paper proposes an optimization framework for the online vehicle dispatch problem by adopting vehicle scheduling methodology. A novel approach is introduced to solve the optimization challenges of the large problem size and the limited computing time. The designed optimization framework is validated by the real-world demand data in Singapore.