Development of a Mathematical Model on Traffic Management for Major Junctions in Pune City
Author(s):
Vipul Dnyaneshwar Sonawane, Agasti Takawale, Rajput Rupesh Darasing, Devendra Piraji Sormare, Priti S Satarkar
Keywords:
Congestion, correlation and regression models, remedial solutions.
Abstract
Traffic Congestion or traffic jams is one of the major issues in most metropolitan cities like Pune. This paper presents the development of mathematical model and traffic management for critical junctions in Pune city. In this research, correlation and regression model is developed by knowing the factors causing traffic congestion. Initially, traffic at various junctions at peak hours is counted and the factors causing congestion are found. These factors are then rated by the effect they have on congestion. Then, with the help of SPSS (Statistical Package for Social Sciences) Software by IBM, correlation and regression models are developed by taking these ratings as input; also calculating this data by the standard analytical method. We studied traffic at major junctions in Pune city and developed the relationship between the factors causing traffic congestion and then provided proper remedial solutions focused on the junctions taken into consideration.
Article Details
Unique Paper ID: 155262

Publication Volume & Issue: Volume 9, Issue 1

Page(s): 364 - 366
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