Simulation of Traffic Optimization to Reduce Congestion
Abhishek Goyal1, Mradula Singh2, Anurag Aeron3
1Abhishek Goyal, ABES EC, Ghaziabad
2Dr. Mradula Singh , COER, Roorkee
3Dr. Anurag Aeron , ICFAI, Dehradun
Manuscript received on 26 August 2019. | Revised Manuscript received on 08 September 2019. | Manuscript published on 30 September 2019. | PP: 3780-3783 | Volume-8 Issue-11, September 2019. | Retrieval Number: K21220981119/2019©BEIESP | DOI: 10.35940/ijitee.K2122.0981119
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: There has been an alarming increase in the number of vehicles on the Indian roads in the recent times, almost triple as that in 2005[10]. which obviously leads to traffic congestion on road and enhanced pollution, although there has been many reasons for the same but major one is unmanaged traffic light system as the current traffic light system is either manual or static timings of traffic lights regardless of the flow of traffic. There is a need for smart solution to the traffic light in Indian cities or to have ITS (Intelligent traffic system). Paper provides a solution based on camera feed at crossings for each lane, process the data through and allocates the “Green” time according to its traffic flow density using YOLO v3 and also takes care of starvation issue that might arise of the solution. As a result the flow of traffic on each lane is automatically optimized and the congestion that used to happen unnecessarily earlier is eliminated and results shows significant benefits in reducing traffic waiting time.
Keywords: Traffic optimization, YOLO, Traffic Congestion, ITS (Intelligent Traffic System)
Scope of the Article: Network Traffic Characterization and Measurements