A Model To Reduce Traffic Congestion In Colombo City

Abstract

Traffic congestion is an adverse problem in the world and Colombo city incurs a huge negative impact from traffic congestion. The number of vehicles drive into the Colombo city increasing day by day and the roads are congested most hours of the day. Among several techniques, which can use to reduce traffic congestion, this research aims to give a solution by reducing the number of vehicles enter to the city. Therefore, motive of this research is to introduce a model to reduce traffic congestion in Colombo city by establishing parking locations in critically congested areas. In order to fulfil this objective, concept of cut in graph theory is applied. Furthermore, to analyse the traffic situation and to evaluate traffic measurements, multimodal traffic simulation software PTV Vissim 9 is used. Colombo city entry points and area inside the Colombo city periphery are considered when constructing the model within some defined limitations. This study is mainly based on identifying critically congested roads by traffic measurements and introducing cuts as parking locations to control the vehicle flow in to the city. As the outcome of this research, three locations are identified to establish parking areas. This concept can be initiated by motivating people to use parking locations to park their private vehicles and by providing public transportation more conveniently and comfortably.