{"title":"运动波的理论、求解方法及应用","authors":"M. Kuwahara","doi":"10.4036/IIS.2015.63","DOIUrl":null,"url":null,"abstract":"This study first summarizes the Kinematic Wave Theory which has been used to describe vehicle motions and the Variational Theory which is an efficient solution method to estimate vehicle trajectories based on the Kinematic Wave Theory. Then, several demonstrative applications on a signalized arterial and on an intercity motorway are presented by a data fusion technique using probe vehicle data and conventional traffic detector data.","PeriodicalId":91087,"journal":{"name":"Interdisciplinary information sciences","volume":"21 1","pages":"63-75"},"PeriodicalIF":0.0000,"publicationDate":"2015-03-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://sci-hub-pdf.com/10.4036/IIS.2015.63","citationCount":"7","resultStr":"{\"title\":\"Theory, Solution Method and Applications of Kinematic Wave\",\"authors\":\"M. Kuwahara\",\"doi\":\"10.4036/IIS.2015.63\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study first summarizes the Kinematic Wave Theory which has been used to describe vehicle motions and the Variational Theory which is an efficient solution method to estimate vehicle trajectories based on the Kinematic Wave Theory. Then, several demonstrative applications on a signalized arterial and on an intercity motorway are presented by a data fusion technique using probe vehicle data and conventional traffic detector data.\",\"PeriodicalId\":91087,\"journal\":{\"name\":\"Interdisciplinary information sciences\",\"volume\":\"21 1\",\"pages\":\"63-75\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2015-03-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://sci-hub-pdf.com/10.4036/IIS.2015.63\",\"citationCount\":\"7\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Interdisciplinary information sciences\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.4036/IIS.2015.63\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Interdisciplinary information sciences","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.4036/IIS.2015.63","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
Theory, Solution Method and Applications of Kinematic Wave
This study first summarizes the Kinematic Wave Theory which has been used to describe vehicle motions and the Variational Theory which is an efficient solution method to estimate vehicle trajectories based on the Kinematic Wave Theory. Then, several demonstrative applications on a signalized arterial and on an intercity motorway are presented by a data fusion technique using probe vehicle data and conventional traffic detector data.