Abstract

One of the major objectives of road transport policy is to minimize road congestion and road accidents in an area. An intense interruption of free movement on a road is known as traffic congestion. Traffic congestion is as a result of too many cars, buses, trucks in a road space at a particular time. It can occur almost on any road system. It is more dominant and severe around central business district, industrial areas and the like, during the morning and afternoon periods as a result of the influx of commuters and goods delivery around such areas. The impact of such traffic congestion includes delay in delivery of goods and services, excessive fuel consumption and pollution, frustration and inability to estimate travel time. Road transport which is popularly used as medium for mobility can be tiring, irritating and costly when congestion is encountered. This work contributes to the prediction of road traffic intensity of some areas in Lagos state, Nigeria by the application of queuing theory. The approach adopted in the paper describes traffic intensity as performance measure used in the prediction of the level of queue build-up at traffic light intersection in the selected area. The prediction may enhance proper traffic management devoid of undue delays.

Highlights

  • Traffic congestion occurs in busy and populated areas

  • Traffic congestion is common in Lagos because it is heavily populated with a small land mass

  • Mala et al (2016) describes traffic congestion as a situation on road network which occurs as its use increases

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Summary

Introduction

Traffic congestion occurs in busy and populated areas. It can be very frustrating because of the delay it causes on vehicular movement for commuters and item delivery. It is periodical and has several causative factors depending on the area. Traffic congestion is common in Lagos because it is heavily populated with a small land mass. Mala et al (2016) describes traffic congestion as a situation on road network which occurs as its use increases. It is characterized by slower speeds, increased trip times and queuing of vehicles. It is necessary to apply the principle of queuing theory to optimize the waiting time in queuing system as experienced in traffic congestion

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