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Smart Driving License Issuing Test for Smart City

Authors(6) :-Pranay Burade, Akshay Dohe, Ankita Jaiswal, Radha Gaikwad, Prachi Motghare, Prof. V. N. Mahawadiwar

To prevent illegal licenses and therefore causing accidents, a new automated system is proposed. This system can be implemented using Bayesian logic classification algorithm and feature extraction algorithm. The proposed system need to design the wireless sensor network and also the multi sensor fusion based detection approach for detecting result. The map management is also needed to compare the test data from Global Positioning System with reference data & also manipulate speed of the vehicle. Mapping and multi fusion sensor combination transmission is done using remote server. The Bayesian classification algorithm is implemented with data mining for result. GPRS is used as a gateway. The proposed system is the elimination process of existing process to issue Indian driving license. For this the applicant will be allotted the test vehicle for test drive with the number of sensors connected embedded in vehicle sending data using wireless sensor network to remote server to get processed. Result analysis is done by comparing the received data with previous data.
Pranay Burade, Akshay Dohe, Ankita Jaiswal, Radha Gaikwad, Prachi Motghare, Prof. V. N. Mahawadiwar
GPS, Data Mining, Map Matching, Multi Sensor Fusion –Based Detection Approach, GPRS module.
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Publication Details
  Published in : Volume 3 | Issue 2 | January-February 2017
  Date of Publication : 2017-02-28
License:  This work is licensed under a Creative Commons Attribution 4.0 International License.
Page(s) : 114-116
Manuscript Number : NCAEAS2326
Publisher : Technoscience Academy
PRINT ISSN : 2395-6011
ONLINE ISSN : 2395-602X
Cite This Article :
Pranay Burade, Akshay Dohe, Ankita Jaiswal, Radha Gaikwad, Prachi Motghare, Prof. V. N. Mahawadiwar, "Smart Driving License Issuing Test for Smart City", International Journal of Scientific Research in Science and Technology(IJSRST), Print ISSN : 2395-6011, Online ISSN : 2395-602X, Volume 3, Issue 2, pp.114-116, January-February-2017
URL : http://ijsrst.com/NCAEAS2326