DocumentCode
3579343
Title
GPS based road traffic congestion reporting system
Author
Dhakad, Rajesh ; Jain, Manish
Author_Institution
Department of computer engineering, S.G.S.I.T.S., Indore, India
fYear
2014
Firstpage
1
Lastpage
6
Abstract
Road traffic congestion conditions are getting worse day by day, it is due to rapid growth of vehicle volume on roads. Therefore, the road traffic management is a major concern. Vehicles, mostly uses traffic congestion information broadcasted by FM Radio operators. Currently FM Radio operators get this information telephonically from media reporters in India. This information might be insufficient as these media reporters and drivers do not cover all road segments at all the time. If radio operators starts acceptance of traffic calls from entrusted vehicle drivers then some vehicle drivers intentionally send wrong information to the radio. In this work we are presenting and implementing a GPS based road traffic congestion reporting system (ITM). The proposed approach uses Smartphone, equipped with a GPS receiver to probe congestion on the roads and accelerometer to compute the speed of vehicle driver. The proposed system consists of two Subsystems: Client and Server. Client is an Android application that captures user location through GPS receiver. This information is uploaded to the server after fulfilling the constraints to avoid false and redundant information. A server in the office of FM operator or traffic authority processes this data to represent and report the traffic congestion by the help of offline map. The efficiency of system is checked by collecting real time traffic congestion information of different road segments of Indore, India and compares the results with existing approach. Results show the system is more efficient in time to report and reduce human effort.
Keywords
Accelerometers; Cities and towns; Global Positioning System; Real-time systems; Roads; Servers; Vehicles; Global Positioning System (GSM); Indore Traffic Management; Intelligent Transportation;
fLanguage
English
Publisher
ieee
Conference_Titel
Computational Intelligence and Computing Research (ICCIC), 2014 IEEE International Conference on
Print_ISBN
978-1-4799-3974-9
Type
conf
DOI
10.1109/ICCIC.2014.7238547
Filename
7238547
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