Traffic Congestion Index and Level Estimation using Two Phase Fuzzy Controller

Abstract

Many measures have been proposed to represent the status of traffic conditions on arterial roadways in urban areas. Traffic congestion is rising nowadays and to understand its nature, a systematic mechanism is required. A new approach is presented in this research work to measure the congestion index first and then the congestion level. In this research work, a two phase fuzzy controller is applied wherein in first phase the traffic congestion index is measured by using travel speed rate and very-low speed rate followed by congestion level measurement by using density state and congestion index in next phase. The application of the proposed approach is demonstrated using real world data of small area segment of Nagpur city, India. The outcome was a single congestion index value between 0 and 1, where 0 is the best condition and 1 is the worst condition.