{"title":"基于旅行规划目的的移动信息数据库的时间地理查询","authors":"M. Rigby, S. Winter","doi":"10.1109/ICCVE.2012.36","DOIUrl":null,"url":null,"abstract":"Travel planning in highly dynamic transportation networks, networks encountering events at any time, requires communication capabilities and planning flexibility from all travelling entities. In this paper we suggest and test a novel information dissemination strategy, which computes the relevance of pieces of information based on smart methods borrowed from timegeography. We will demonstrate that these methods lead to more efficient communication and effective travel planning than current methods.","PeriodicalId":182453,"journal":{"name":"2012 International Conference on Connected Vehicles and Expo (ICCVE)","volume":"34 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2012-12-12","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Timegeographic Querying of Mobile Information Databases for Travel Planning Purposes\",\"authors\":\"M. Rigby, S. Winter\",\"doi\":\"10.1109/ICCVE.2012.36\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"Travel planning in highly dynamic transportation networks, networks encountering events at any time, requires communication capabilities and planning flexibility from all travelling entities. In this paper we suggest and test a novel information dissemination strategy, which computes the relevance of pieces of information based on smart methods borrowed from timegeography. We will demonstrate that these methods lead to more efficient communication and effective travel planning than current methods.\",\"PeriodicalId\":182453,\"journal\":{\"name\":\"2012 International Conference on Connected Vehicles and Expo (ICCVE)\",\"volume\":\"34 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2012-12-12\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2012 International Conference on Connected Vehicles and Expo (ICCVE)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICCVE.2012.36\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2012 International Conference on Connected Vehicles and Expo (ICCVE)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCVE.2012.36","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Timegeographic Querying of Mobile Information Databases for Travel Planning Purposes
Travel planning in highly dynamic transportation networks, networks encountering events at any time, requires communication capabilities and planning flexibility from all travelling entities. In this paper we suggest and test a novel information dissemination strategy, which computes the relevance of pieces of information based on smart methods borrowed from timegeography. We will demonstrate that these methods lead to more efficient communication and effective travel planning than current methods.