Intelligent Traffic Management by Synchronized Signalling

Abstract

Traffic congestion is one of the major problems faced in our day-to-day life. The objective of this paper is to provide an innovative method to solve traffic congestion. In the present day scenario, there are numerous Traffic signals which delay the time taken to reach a destination. In order to overcome this problem, we need to synchronize the signals. The goal of this project is to develop a system which synchronizes the signals so that congestion is managed in better manner. Here, signals across neighboring junctions are synchronized in cooperative method and congestion will be cleared in accordance to the traffic density as well as direction of traffic flows. This paper also uses vehicle speed patterns to predict the traffic flow between two nearby junctions. The traffic flow patterns across all four directions will be analyzed and the same is mapped with various fuzzy rules. In accordance to such mapping, a relevant fuzzy rule will fire required module in real time traffic signal. Hence, the traffic congestion will be controlled in dynamic as well as adaptive manner. A vehicle should travel at a particular speed from one junction to another and we calculate the time limit for changing the signal based on that speed. The core objective of this paper is to provide a cost-effective way to manage the traffic and making hassle free driving.

Keywords

Traffic congestion, GSM,IR sensor, Priority inversion, Micro controller.

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