Estimating Traffic Density in Uncertain Environment: A Case Study of Danang, Vietnam

Abstract

The road traffic monitoring system in Vietnam faces significant challenges due to the impact of uncertain factors. The problems of blurred lanes, many types of vehicles in traffic, the view from remote surveillance cameras, etc, directly affect the intelligent traffic management system. We propose an algorithm to estimate the traffic density in an uncertain environment to identify and solve the above problems. Through empirical evaluation of the data set from cameras collected on the website http://0511.vn, it has been proved that this proposed method has high performance in real-time and has an equivalent accuracy to other high-complexity methods.