Application of a Markov Chain Traffic Model to the Greater Philadelphia Region

Main Article Content

Joseph Glenn Reiter

Abstract

A macroscopic traffic model based on the Markov chain process is developed for urban traffic networks.  The method utilizes existing census data rather than measurements of traffic to create parameters for the model.  Four versions of the model are applied to the Philadelphia regional highway network and evaluated based on their ability to predict segments of highway that possess heavy traffic.

Article Details

Section
Mathematics and Statistics
Author Biography

Joseph Glenn Reiter, Villanova University

Joseph Reiter is a second-year graduate student in the Mathematics and Statistics department.  He is a graduate assistant for the department and also works for the Center for Statistic Education. He received his B. A. in Music from Lycoming College in 2005 and has worked as a teacher in various school districts. He will graduate in May 2015 with a M. S. in Applied Statistics and plans to work in the pharmaceutical industry as a statistician. His main interests include clinical and non-clinical analysis methods, Bayesian methods, statistical programming, mathematical statistics, and experimental design.