{"title":"使代理商更接近资源的车队管理器:GIS Cup","authors":"Wenli Li","doi":"10.1145/3397536.3427186","DOIUrl":null,"url":null,"abstract":"The GISCUP 2020 problem is to write a fleet manager to manage a fleet of mobile agents/taxicabs to service resources/customers introduced in a road network. This paper describes a solution that uses a dynamic weighting system to send agents to locations where more resources may show up. It also tries to send agents to waiting resources and assign a resource to the best agent. Results show that the solution is effective at minimizing resource wait time and reducing agent search time.","PeriodicalId":233918,"journal":{"name":"Proceedings of the 28th International Conference on Advances in Geographic Information Systems","volume":"18 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2020-11-03","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"2","resultStr":"{\"title\":\"A fleet manager that brings agents closer to resources: GIS Cup\",\"authors\":\"Wenli Li\",\"doi\":\"10.1145/3397536.3427186\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The GISCUP 2020 problem is to write a fleet manager to manage a fleet of mobile agents/taxicabs to service resources/customers introduced in a road network. This paper describes a solution that uses a dynamic weighting system to send agents to locations where more resources may show up. It also tries to send agents to waiting resources and assign a resource to the best agent. Results show that the solution is effective at minimizing resource wait time and reducing agent search time.\",\"PeriodicalId\":233918,\"journal\":{\"name\":\"Proceedings of the 28th International Conference on Advances in Geographic Information Systems\",\"volume\":\"18 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2020-11-03\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"2\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of the 28th International Conference on Advances in Geographic Information Systems\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1145/3397536.3427186\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 28th International Conference on Advances in Geographic Information Systems","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/3397536.3427186","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A fleet manager that brings agents closer to resources: GIS Cup
The GISCUP 2020 problem is to write a fleet manager to manage a fleet of mobile agents/taxicabs to service resources/customers introduced in a road network. This paper describes a solution that uses a dynamic weighting system to send agents to locations where more resources may show up. It also tries to send agents to waiting resources and assign a resource to the best agent. Results show that the solution is effective at minimizing resource wait time and reducing agent search time.