{"title":"多中转站和多目的地路线导航地图数据库系统","authors":"K. Kaneko, Shinya Honda","doi":"10.1109/IIAI-AAI.2016.203","DOIUrl":null,"url":null,"abstract":"This paper presents a map database system for route navigation. The system contains database describing roads, interest points (such as a bus stop, store, etc), and route images. The system also includes an index for efficient processing of the shortest path query. Given a set of candidate destination points and a set of candidate transit points, the system generates an index for shortest path query dynamically. Then, a computer system gets a starting point, and the system makes the shortest path that includes one of the candidate destination points and one of the candidate transit points. The k-shortest path (k-SPT) method is used to evaluate the shortest path query. The original version of k-SPT does not consider multiple number of destination points, then the implementation of k-SPT is modified.","PeriodicalId":272739,"journal":{"name":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","volume":"307 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2016-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":"{\"title\":\"A Map Database System for Route Navigation with Multiple Transit Points and Destination Points\",\"authors\":\"K. Kaneko, Shinya Honda\",\"doi\":\"10.1109/IIAI-AAI.2016.203\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This paper presents a map database system for route navigation. The system contains database describing roads, interest points (such as a bus stop, store, etc), and route images. The system also includes an index for efficient processing of the shortest path query. Given a set of candidate destination points and a set of candidate transit points, the system generates an index for shortest path query dynamically. Then, a computer system gets a starting point, and the system makes the shortest path that includes one of the candidate destination points and one of the candidate transit points. The k-shortest path (k-SPT) method is used to evaluate the shortest path query. The original version of k-SPT does not consider multiple number of destination points, then the implementation of k-SPT is modified.\",\"PeriodicalId\":272739,\"journal\":{\"name\":\"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"volume\":\"307 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2016-07-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"3\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.1109/IIAI-AAI.2016.203\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"2016 5th IIAI International Congress on Advanced Applied Informatics (IIAI-AAI)","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/IIAI-AAI.2016.203","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Map Database System for Route Navigation with Multiple Transit Points and Destination Points
This paper presents a map database system for route navigation. The system contains database describing roads, interest points (such as a bus stop, store, etc), and route images. The system also includes an index for efficient processing of the shortest path query. Given a set of candidate destination points and a set of candidate transit points, the system generates an index for shortest path query dynamically. Then, a computer system gets a starting point, and the system makes the shortest path that includes one of the candidate destination points and one of the candidate transit points. The k-shortest path (k-SPT) method is used to evaluate the shortest path query. The original version of k-SPT does not consider multiple number of destination points, then the implementation of k-SPT is modified.