Mathematical Modeling of Traffic Flow in Kampala City Using the Moving Observer Method

Humphrey Okiza; Lawrence Muhwezi; Joseph Omwonylee Okello; Richard Opaka Awichi; Nuwagaba Savannah

doi:10.37284/eajis.7.1.2133

Humphrey Okiza Kyambogo University
Lawrence Muhwezi Kabale University
Joseph Omwonylee Okello Kyambogo University
Richard Opaka Awichi Kyambogo University
Nuwagaba Savannah Kyambogo University

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Résumé

The purpose of the study was to investigate the variables affecting traffic flow in Kampala Central Business District (CBD), employing a leading into and out of the city which included traffic on Entebbe Road, Jinja road, Sir Apollo Kaggwa Road, Yusuf Lule and Wandegeya roads using the moving observer method. Regression analysis was done to identify the relationships between the variables, leading to the development of a predictive model for traffic flow. The study found out that the flow tends to increase as the day progresses and as well flow rate increases with increase in density. A mathematical model was generated which could be used to predict the traffic intensity on the road at a given day and time. The model shows that changing from weekdays to weekend, the flow decreases by about 29%, and as density increases by 1%, the flow also increases by 1.5% over time. The study recommends prioritizing public transportation improvement, establishment of out of city parking yards, utilizing the other various means of transport other than road and promoting non-motorized modes of transportation in order to reduce traffic density on the road and subsequently manage congestion

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