{"title":"公共交通实时自适应到达预测系统","authors":"D. Obrul, B. Žalik","doi":"10.1109/ICITST.2013.6750288","DOIUrl":null,"url":null,"abstract":"This paper introduces a low-cost, real-time prediction system for public transport arrival times. Using a predefined roads and stops network, arrival times are predicted for each public transport line. After the predictions have been made, the time for future arrivals is adapted in order to reflect current road conditions and any possible delays of future arrivals. The entire system is controlled using a dedicated online application. Sensitive location information can be encrypted and stored on a separate server.","PeriodicalId":246884,"journal":{"name":"8th International Conference for Internet Technology and Secured Transactions (ICITST-2013)","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2013-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Real-time adaptive arrival prediction system for public transport\",\"authors\":\"D. Obrul, B. Žalik\",\"doi\":\"10.1109/ICITST.2013.6750288\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper introduces a low-cost, real-time prediction system for public transport arrival times. Using a predefined roads and stops network, arrival times are predicted for each public transport line. After the predictions have been made, the time for future arrivals is adapted in order to reflect current road conditions and any possible delays of future arrivals. The entire system is controlled using a dedicated online application. Sensitive location information can be encrypted and stored on a separate server.\",\"PeriodicalId\":246884,\"journal\":{\"name\":\"8th International Conference for Internet Technology and Secured Transactions (ICITST-2013)\",\"volume\":\"30 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2013-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"8th International Conference for Internet Technology and Secured Transactions (ICITST-2013)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/ICITST.2013.6750288\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"8th International Conference for Internet Technology and Secured Transactions (ICITST-2013)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICITST.2013.6750288","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Real-time adaptive arrival prediction system for public transport
This paper introduces a low-cost, real-time prediction system for public transport arrival times. Using a predefined roads and stops network, arrival times are predicted for each public transport line. After the predictions have been made, the time for future arrivals is adapted in order to reflect current road conditions and any possible delays of future arrivals. The entire system is controlled using a dedicated online application. Sensitive location information can be encrypted and stored on a separate server.