Towards Efficient and Flexible KNN Query Processing in Real-Life Road Networks
Along with the developments of mobile services, effectively modeling road networks and efficiently indexing and querying network constrained objects has become a challenging problem. In this paper, we first introduce a road network model which captures real-life road networks better than previous models. Then, based on the proposed model, we propose a novel index named the RNG (Road Network Grid) index for accelerating KNN queries and continuous KNN queries over road network constrained data points. In contrast to conventional methods, speed limitations and blocking information of roads are included into the RNG index, which enables the index to support both distance-based and time-based KNN queries and continuous KNN queries. Our work extends previous ones by taking into accountmore practical scenarios, such as complexities in real-life road networks and time-based KNN queries. Extensive experimental study shows that our methods are efficient in terms of both CPU time and disk I/Os.
Yang Lu Bin Cui Jiakui Zhao Hua Lu Jialie Shen
Key Laboratory of High Confidence Software Technologies (Peking University),Ministry of Education,CH Aalborg University Singapore Management University
国际会议
The Ninth International Conference on Web-Age Information Management(第九届web时代信息管理国际会议)(WAIM 2008)
张家界
英文
2008-07-20（万方平台首次上网日期，不代表论文的发表时间）