Smart Real-Time Traffic Optimization System
Ramanarayanan S1, Udaya Prakash2, Uma Maheshwaran3, Velappa Ganapathy4, Sundara Kanchana J5
1Ramanarayanan S, Student, Department of Computer Science and Engineering, SSN College of Engineering College, Kalavakkam Chennai (Tamil Nadu), India.
2Udaya Prakash, Student, Department of Information Technology, SSN College of Engineering College, Kalavakkam Chennai (Tamil Nadu), India.
3Uma Maheshwaran, Student, Department of Information Technology, SSN College of Engineering College, Kalavakkam Chennai (Tamil Nadu), India.
4Velappa Ganapathy, Professor, SRMIST, Kattankulathur, Chennai (Tamil Nadu), India.
5Sundara Kanchana J, Academic Administrator, SRMIST, Kattankulathur, Chennai (Tamil Nadu), India.
Manuscript received on 02 July 2019 | Revised Manuscript received on 12 August 2019 | Manuscript Published on 27 August 2019 | PP: 56-58 | Volume-8 Issue-2S4 July 2019 | Retrieval Number: B10100782S419/2019©BEIESP | DOI: 10.35940/ijrte.B1010.0782S419
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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: Today’s traffic situations in busy cities require a smarter traffic signal optimization methodology to regulate the traffic in an orderly manner. Traffic signals are set to a fixed time limit in most of the road junctions. This leads to a dead lock in many junctions because they do not recognize the density of traffic in each road. People want to reach their destinations as quickly as possible. Our proposed Smart Real-Time Traffic Optimization System (SRTOS) provides optimization of traffic signals based on real time Google traffic data. In Google maps, traffic data is indicated through different colors (dark red, red, yellow, orange and green). These colors are processed to find out the traffic around a particular traffic junction and preference is given to the road that has a maximum traffic in the traffic junction, thereby easing out the congestion in that junction. Following similar patterns of activities for all other traffic junctions, wherever possible, will be helpful to drastically ease the flow of traffic patterns of a particular city. This is to fulfill the objective of smoother traffic flow without making people to wait and waste their valuable time.
Keywords: Congestion, Google Maps, Optimization, Signal, Traffic.
Scope of the Article: Real-Time Information Systems