Markov Chain Modelling and GIS Interface to Analyze Traffic Congestion

Abstract

Traffic congestion is the major problem that major metropolitan cities are facing. From the study it is observed that the main cause of the delay is because of not following the actual design of the transportation rules of the particular area. There are many factors which are influencing the congestion are taken in the study like road density, road geometrics and traffic composition. Data is collected at Gochibowli, Kothagudem and Cyber towers intersection regarding road geometrics, road density and volume count using ArcGIS and manually. The Markov chain is a mathematical model is used. Markov chain is a transition probabilistic model which can be used in any stream to find out percentage of chances for an event to take place. Empirical model is developed for delay prediction by considering the values from data collection. Penetrating the values into the transition probabilistic method and linear equations to find out the factors influencing delay and calculating the delay errors.