Development of a Mathematical Model using Correlation Regression Analysis on Traffic Management at Major Junctions in City
Journal Title: International Journal of Engineering and Science Invention - Year 2018, Vol 7, Issue 6
Abstract
This paper presents development of mathematical model and traffic management for critical junctions in city. In this research correlation and regression model are developed by knowing the factors causing traffic congestion. Initially, traffic at a junction during peak hours is counted and the factors causing congestion are found out. All the factors are rated on a scale of 1-6. These factors are then rated by the effect they do on congestion. Then, with the help of SPSS Software by IBM Correlation and Regression models are developed by taking these rating as input.The correlation coefficient gives the relation between the combination of factors affecting congestion.The regression coefficients by regression model, gives us the equation by which congestion value at any junction having same factors can be calculated.We have also suggested some remedial measures to reduce traffic congestion at these junctions.
Authors and Affiliations
Prof. K. N. Kulkarni, Shubham Banthia, Rishabh Itkelwar, Nachiket Jadhav
Keywords
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