DocumentCode :
3662911
Title :
Code based community network for identifying low risk community
Author :
S. Saravanan;A. Sabari;M. Geetha;Quin priyanka
Author_Institution :
Department of Computer Science &
fYear :
2015
Firstpage :
1
Lastpage :
6
Abstract :
The modern day approach in boulevard network centers on efficient factor in safe routing. The safe routing must follow up the low risk cities. The troubles in routing are a perennial one confronting people day in and day out. The common goal of everyone using a boulevard seems to be reaching the desired point through the fastest manner which involves the balancing conundrum of multiple expected and unexpected influencing factors such as time, distance, security and cost. It is universal knowledge that travelling is an almost inherent aspect in everyone´s daily routine. With the gigantic and complex road network of a modern city or country, finding a low risk community for traversing the distance is not easy to achieve. This paper follows the code based community for detecting the boulevard network and fuzzy technique for identifying low risk community.
Keywords :
"Routing","Safety","Inference algorithms","Cities and towns"
Publisher :
ieee
Conference_Titel :
Intelligent Systems and Control (ISCO), 2015 IEEE 9th International Conference on
Type :
conf
DOI :
10.1109/ISCO.2015.7282373
Filename :
7282373
Link To Document :
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