Traffic Monitoring Using Multiple Sensors

Background & Objective: Intelligent Traffic Monitoring Systems have become a dire necessity in today's world as the number of vehicles plying on the roads has begun to rise exponentially, especially in the urban areas, due to this reason traffic management has become a big issue. In this research we aim to present the application of multiple sensors for the detection and identification of different vehicles. Methods: In this research we have explored the application of fiber optic cables and microphone (acoustic sensor) for identification of different vehicles. The system using optical fiber can also be used for vehicle speed detection. In this context the optical fiber is used as a load sensor for the measurement of the weight of the vehicle in motion. We know the fact that the distance between the front and rare wheels is almost fixed for any category of vehicle for example car, bus, truck etc. Therefore by calculating the time between front of any vehicle and rear tires moving on top of optical fiber we have estimated the speed at which the vehicle is running on the road. Results: Showed good relationship between the weight and the properties of the output signal i.e. amplitude and phase shift. Conclusion: The results show the benefits of the use of optical fiber and acoustic sensors under those circumstances and their ability to deliver data when conventional sensors cannot be used for example in military war zones.