{"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}
引用次数: 3
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.