Behavior of Vehicle based Traffic Detection System

Abstract

As Traffic congestion is becoming an everyday facing problem in urban region, monitoring road and Traffic prediction system are playing an important role in the city life. The previous Traffic Prediction Systems were implemented depending on the road network sensor. These technologies had been prompted by the need of addressing to solve the problem installation and maintenance cost. Fortunately the dramatic technology innovation is carrying many crucia solution for Transportation agency to provide the relative services efficiently. This paper mainly emphasizes detecting Traffic condition by analyzing the behavior of vehicle primarily based on applying GPS enable Mobile phone and integrating the underlying Transportation network information and history data. The system is built into two parts: Client (Mobile device) and Cloud Backend Server. On the Client side, the system distinguishes whether the Mobile device carrier is taking a vehicle or walking. The Average Moving Filtering method and the measurement of total distance are utilized in analyzing mode of Transportation. The distance of two points (latitude and longitude) is computed by using Haversine Formula. On the Server side, it detects the Traffic status based on checking the behavior of vehicle based on the Client result by applying Bayes Classifier.