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
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.