A Model of Interactive Traffic Management System and Traffic Data Analysis

Abstract

The Study introduces a model of interactive traffic management system with a goal of controlling traffic flow, vehicle tracking, traffic control, law enforcement and automated toll collection. The intelligent transport system is one of the principal components of modern urbanization and the current systems are not automated and human error-related. To achieve these goals fifty vehicles seven days data have been analyzed through statistical tools. Data used for this study were collected from Prohori, Onnorokom Electronics Limited. All results was focused on only law enforcement and all analysis results was done using a data mining software named WEKA workbench. Several algorithms were used to find out gaps between engine on time and idle time, detect vehicle which violated rules and classify them for law enforcement and predict vehicle route for next day