DocumentCode :
3582158
Title :
Optimal vehicular routing and driving guidelines with human intelligence
Author :
Dhanalakshmi, K. ; Kumar, N. Vel Murugesh
Author_Institution :
Dept. of Comput. Sci. & Eng., Saveetha Eng. Coll., Chennai, India
fYear :
2014
Firstpage :
201
Lastpage :
206
Abstract :
An android based advisor system based on the human intelligence to reach a particular destination at a given departure time. A good routing service is based on paths, traffic and drivers. GPS-equipped cabs are employed as mobile devices probing the location-based services. Google and Bing maps also provide driving guidelines is just for user information. A landmark graph is built to estimate the traffic conditions based arranged positive limits. Optimal path steering process contains now finding the optimal path created on the autonomy and longitude location of the transportable handler to extent a specific endpoint. The material around the handler position is deposited in the file a information graph is formed to inform the actual period evidence to the movable worker. We form our scheme created on a everyday direction records fixed produced by done 33,000 cabs in a dated of three months, and calculate the organization via directing both mock tests and in-the-field estimations. As a effect, on normal, 50 percent of our paths remain on minimum 20 percent quicker than the challenging methods.
Keywords :
Android (operating system); cartography; data mining; mobile computing; traffic engineering computing; Android based advisor system; Bing map; Google map; human intelligence; information graph; landmark graph; optimal path steering process; optimal vehicular routing guideline; user information; vehicular driving guideline; Cities and towns; Computers; Conferences; Databases; Global Positioning System; Mobile communication; Vehicles; GIS; GPS path; data mining; driving guidelines;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Computer Communication and Systems, 2014 International Conference on
Print_ISBN :
978-1-4799-3671-7
Type :
conf
DOI :
10.1109/ICCCS.2014.7068194
Filename :
7068194
Link To Document :
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