{"title":"基于并行计算的IVHS流量建模","authors":"W. Niedringhaus, P. Wang","doi":"10.1109/VNIS.1993.585607","DOIUrl":null,"url":null,"abstract":"The THOREAU simulation of vehicular traffic which may help researchers to evaluate candidate algorithms for Advanced Traveler Information Services (ATIS) and Advanced Traffic Management Systems (ATMS) is discussed. The authors seek to establish a set of ATIS and ATMS algorithms for comparative studies. An important goal is to provide sufficient information to developers of ATIS and ATMS algorithms for them to determine whether they could benefit from using THOREAU. The THOREAU simulation models vehicles moving along arterial roads and freeways. Portions of Orlando, Florida, and Troy, Michigan, have been represented and modeled using a simple ATIS algorithm which reroutes vehicles to minimize travel time based on recent demand history.","PeriodicalId":185945,"journal":{"name":"Proceedings of VNIS '93 - Vehicle Navigation and Information Systems Conference","volume":"9 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"1993-10-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"7","resultStr":"{\"title\":\"IVHS traffic modeling using parallel computing\",\"authors\":\"W. Niedringhaus, P. Wang\",\"doi\":\"10.1109/VNIS.1993.585607\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The THOREAU simulation of vehicular traffic which may help researchers to evaluate candidate algorithms for Advanced Traveler Information Services (ATIS) and Advanced Traffic Management Systems (ATMS) is discussed. The authors seek to establish a set of ATIS and ATMS algorithms for comparative studies. An important goal is to provide sufficient information to developers of ATIS and ATMS algorithms for them to determine whether they could benefit from using THOREAU. The THOREAU simulation models vehicles moving along arterial roads and freeways. Portions of Orlando, Florida, and Troy, Michigan, have been represented and modeled using a simple ATIS algorithm which reroutes vehicles to minimize travel time based on recent demand history.\",\"PeriodicalId\":185945,\"journal\":{\"name\":\"Proceedings of VNIS '93 - Vehicle Navigation and Information Systems Conference\",\"volume\":\"9 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"1993-10-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Proceedings of VNIS '93 - Vehicle Navigation and Information Systems Conference\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/VNIS.1993.585607\",\"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 VNIS '93 - Vehicle Navigation and Information Systems Conference","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/VNIS.1993.585607","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
The THOREAU simulation of vehicular traffic which may help researchers to evaluate candidate algorithms for Advanced Traveler Information Services (ATIS) and Advanced Traffic Management Systems (ATMS) is discussed. The authors seek to establish a set of ATIS and ATMS algorithms for comparative studies. An important goal is to provide sufficient information to developers of ATIS and ATMS algorithms for them to determine whether they could benefit from using THOREAU. The THOREAU simulation models vehicles moving along arterial roads and freeways. Portions of Orlando, Florida, and Troy, Michigan, have been represented and modeled using a simple ATIS algorithm which reroutes vehicles to minimize travel time based on recent demand history.