Traffic Flow Measuring System Using Image Processing

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Abstract
We have developed a prototype for a traffic flow measuring system using image processing. The system measures traffic flow parameters such as vehicles' average speed and their spatial occupancy directly from road images. Its features are summarized as follows: (1) The system can stably extract the vehicles using the subtraction-spatial differentiation method and the background updating method, which considers the change ratio of the road brightness under changing surrounding conditions. (2) The system can track vehicles moving as fast as 150 km/h employing real-time gray scale image processing and parallel image features extraction of the HITACHI-IP/200 image processor. (3) In experimental applications to an expressway, the system had good accuracy in the traffic flow measurements, with errors within 10%, even under bad conditions at dusk.

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