Predicting Traffic Congestion: A Queuing Perspective

Jojo Desmond Lartey

Department of Information Technology, Methodist University College Ghana, Accra, Ghana.

DOI: 10.4236/ojmsi.2014.22008                

Abstract

Mobility is an indispensable activity of our daily lives and road transport is one popular approach to mobility. However road congestion occurrence can be irritating and costly. This work contributes to the modeling and therefore predicting road congestion of a Ghanaian urban road by way of queuing theory using stochastic process and initial value problem framework. The approach is used to describe performance measure parameters, allowing the prediction of the level of queue built up at a signalized intersection as an insight into road vehicular congestion there and how such congestion occurrence can be efficiently managed.

Keywords

Road Traffic; Congestion; Queues; Stochastic Process; Markov Chain

Conflicts of Interest

The authors declare no conflicts of interest.

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