DocumentCode :
3591423
Title :
Real time traffic congestion detection and optimal path selection using smartphone
Author :
Dhar, Joydip ; Garg, Gaurav
Author_Institution :
Dept. of Appl. Sci., ABV-Indian Inst. of Inf. Technol. & Manage., Gwalior, India
fYear :
2014
Firstpage :
1
Lastpage :
6
Abstract :
We consider the traffic congestion problem in Gwalior city. To monitor traffic level, previously it required the installation of dedicated measuring device on the road, on vehicles or the tracking of mobile for monitoring the traffic. Moreover, earlier efforts seem to be related with traffic flow patterns of the developed countries. After monitoring, we couldn´t sync up with all devices to find traffic congestion in real time. To find least congested path, we have introduced a system that detects traffic congestion in real time and provide a least congestion free path to the commuter. In this paper, we concentrate specifically on Smartphone to gather information and recommend the least congested route to user´s destination. System requires Global Positioning Services (GPS), Google Map services and Server to determine the congestion of every node in map.
Keywords :
Global Positioning System; cartography; road traffic; smart phones; traffic engineering computing; GPS; Global Positioning Services; Google Map services; Gwalior City; information gathering; optimal path selection; realtime traffic congestion detection; smart phone; traffic flow patterns; Global Positioning System; Magnetic sensors; Monitoring; Real-time systems; Roads; Servers; Vehicles; Congestion; Intelligent transport system(ITS); Road Traffic; Sensors; Smartphone;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Power India International Conference (PIICON), 2014 6th IEEE
Print_ISBN :
978-1-4799-6041-5
Type :
conf
DOI :
10.1109/34084POWERI.2014.7117645
Filename :
7117645
Link To Document :
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