Area Traffic Control using Predictive Analysis

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Published: Jun 20, 2017
DOI: https://doi.org/10.26483/ijarcs.v8i5.3200
Keywords:
Predictive Analysis, Decision Trees, Traffic Optimization, Signal Timer, GPS, Data Analysis, Machine Learning

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Sanjat Manohar Mishra
Vellore Institute of Technology, Vellore

Abstract

Traffic control in a targeted area is one of the most discussed topics in today’s scenario. The increase in number of vehicles in the past few years, has caused a spike in traffic jams at intersections, disrupting entire roadway transportation. These situations demand more efficient methodology to control traffic. This paper proposes a framework to counter the above stated issues using a combination of efficient optimization and decision making algorithms. The framework relies on gathering real time data from commuters, transmitting and analyzing the same to determine vehicle densities on specific routes. The vehicle density on a specific route becomes an important factor in analyzing the traffic conditions in that specific area. The framework also proposes a model to optimize the traffic signal timers at a targeted traffic junction or cross-section, by performing predictive analysis using decision trees.

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Article Details

Issue
Vol. 8 No. 5 (2017): May-June 2017
Section
Articles

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Author Biography

Sanjat Manohar Mishra, Vellore Institute of Technology, Vellore

Student

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