Exploring Dynamic Fan Shapes for Nearby Traffic Monitoring Queries in Road Networks
Publication Type
Conference Proceeding Article
Publication Date
11-2011
Abstract
In this paper, we first introduce the traffic status estimation service, a location-based continuous range query application provided by the CarWeb system. The service provides users nearby realtime traffic estimation according to their locations and moving behaviors. This paper focuses on how to provide users with the most relevant information efficiently and accurately. We propose the Continuous Query with Dynamic Fan-Shape framework (CQ-DFS) which dynamically changes parameters of fan shape range query to efficiently acquire more useful query results without compromising the performance of the system. We conduct extensive experiments to demonstrate the effectiveness of CQ-DFS framework by using real world vehicle trajectories.
Discipline
Databases and Information Systems | Numerical Analysis and Scientific Computing
Publication
GIS '11: Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 1-4 November 2011, Chicago
First Page
433
Last Page
436
ISBN
9781450310314
Identifier
10.1145/2093973.2094041
Publisher
ACM
City or Country
Chicago, IL
Citation
LIN, Ting-Wei; ZHENG, Baihua; Weinberg, Ling-Yin; and Peng, Wen-Chih.
Exploring Dynamic Fan Shapes for Nearby Traffic Monitoring Queries in Road Networks. (2011). GIS '11: Proceedings of the 19th ACM SIGSPATIAL International Conference on Advances in Geographic Information Systems, 1-4 November 2011, Chicago. 433-436.
Available at: https://ink.library.smu.edu.sg/sis_research/1459
Additional URL
http://dx.doi.org/10.1145/2093973.2094041