Dynamic Control of Traffic Signals using Traffic Data from Google Maps and Road Cameras
Arunachalam Muthupalaniappan1, B Shreehari Nair2, Raakheshsubhash Arumuga Rajan3, Raghesh Krishnan K4
1Arunachalam Muthupalaniappan, Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore Amrita Vishwa Vidyapeetham (T.N), India.
2B Shreehari Nair, Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore Amrita Vishwa Vidyapeetham (T.N), India.
3Raakheshsubhash Arumuga Rajan, Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore Amrita Vishwa Vidyapeetham (T.N), India.
4Raghesh Krishnan K, Department of Computer Science and Engineering, Amrita School of Engineering, Coimbatore Amrita Vishwa Vidyapeetham (T.N), India.
Manuscript received on 20 July 2019 | Revised Manuscript received on 03 August 2019 | Manuscript Published on 10 August 2019 | PP: 686-690 | Volume-8 Issue-2S3 July 2019 | Retrieval Number: B11270782S319/2019©BEIESP | DOI: 10.35940/ijrte.B1127.0782S319
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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: Traffic congestion is a condition that occurs due to over usage of roads and results in increased waiting time, slower speeds and increased vehicle queuing. Every year billions of dollars are lost due to time wasted by waiting at traffic signals. In this paper, the problem of dynamic control of traffic signals using traffic data obtained from Google Maps and Road Cameras is explored. The traffic signal control algorithm described will adjust both the ordering of different lights in real time as well as the duration of each of them. The ordering (sequence) and length of each traffic signal light for a period of time will be affected by factors such as traffic volume, waiting time and vehicle queuing characteristics. The results from the above algorithm’s simulations are compared to the average waiting times the vehicles experience in the case of static traffic signals which employ a fixed duration and sequence policy for each of the colors of the traffic signal.
Keywords: Data Signals Control Algorithm Simulations.
Scope of the Article: Data Visualization