Amruta Khot, Abdeltawab M. Hendawi, A. Nascimento, R. Katti, A. Teredesai, Mohamed H. Ali
{"title":"Road network compression techniques in spatiotemporal embedded systems: a survey","authors":"Amruta Khot, Abdeltawab M. Hendawi, A. Nascimento, R. Katti, A. Teredesai, Mohamed H. Ali","doi":"10.1145/2676552.2676645","DOIUrl":null,"url":null,"abstract":"The storage and manipulation of road network graphs are critical to navigational and location-based services. The widespread use of GPS devices combined with low-cost storage has enabled portable and embedded systems to handle several spatiotemporal operations against a natively-stored version of the road network graph. However, the increase in amount of map detail data over the years poses several challenges for such systems. In this paper, we highlight the need for adoption of road network compression techniques in embedded geographic information systems. We also provide a technical overview of proposed road network compression techniques.","PeriodicalId":272840,"journal":{"name":"Proceedings of the 5th ACM SIGSPATIAL International Workshop on GeoStreaming","volume":"30 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-11-04","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"8","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Proceedings of the 5th ACM SIGSPATIAL International Workshop on GeoStreaming","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1145/2676552.2676645","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 8
Abstract
The storage and manipulation of road network graphs are critical to navigational and location-based services. The widespread use of GPS devices combined with low-cost storage has enabled portable and embedded systems to handle several spatiotemporal operations against a natively-stored version of the road network graph. However, the increase in amount of map detail data over the years poses several challenges for such systems. In this paper, we highlight the need for adoption of road network compression techniques in embedded geographic information systems. We also provide a technical overview of proposed road network compression techniques.