Paper Info
Title
Adaptive Block Partition of Geographic Map Based on Road Coverage in Urban Environment.
Abstract
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.
Year
DOI
Venue
2014
10.3233/978-1-61499-484-8-1416
Frontiers in Artificial Intelligence and Applications
Keywords
Field
DocType
Urban Environment,Road Coverage,Geographic Map,Adaptive Partition
Computer science,Urban environment,Real-time computing,Partition (number theory),Distributed computing
Conference
Volume
ISSN
Citations 
274
0922-6389
0
PageRank 
References 
Authors
0.34
0
5
Name
Order
Citations
PageRank
Guang-Ting Wu100.34
Ruey-Kai Sheu26212.31
Chih-Tien Fan3417.02
Yue-Shan Chang429537.68
Chih-Hua Tai511910.20