標題: Adaptive Block Partition of Geographic Map Based on Road Coverage in Urban Environment
作者: Wu, Guang-Ting
Sheu, Ruey-Kai
Fan, Chih-Tien
Chang, Yue-Shan
Tai, Chih-Hua
資訊工程學系
Department of Computer Science
關鍵字: Urban Environment;Road Coverage;Geographic Map;Adaptive Partition
公開日期: 1-Jan-2015
摘要: Smart cities try to deploy new sensors or controller to existing hardware infrastructure to improve the efficiency of city life. How to effectively utilize geographic information to deploy ubiquitous facilities (such as street light control unit) in the urban environment increasingly becomes an important issue. Calculating the minimum block number for facility deployment in a city is similar to the maximum clique problem which belongs to the NP-hard problems. In this paper, we propose an algorithm to find the near minimum block number of geographic map based on road coverage in the urban environment. In the algorithm, we first exploit the Google map as the geographic information to calculate the road coverage of a city and then partitioning the map into numerous partitions according to a given lights (road coverage). We also conduct some experiments to evaluate the performance and accuracy to demonstrate the feasibility of the system. The result shows that the proposed algorithm is effective and efficient.
URI: http://dx.doi.org/10.3233/978-1-61499-484-8-1416
http://hdl.handle.net/11536/150903
ISSN: 0922-6389
DOI: 10.3233/978-1-61499-484-8-1416
期刊: INTELLIGENT SYSTEMS AND APPLICATIONS (ICS 2014)
Volume: 274
起始頁: 1416
結束頁: 1425
Appears in Collections:Conferences Paper