Road Traffic Monitoring Using Image Processing at Signalized Intersection for Mixed Traffic Conditions

Abstract

In present days detection and tracking of touching items are fetching additional essential to traffic control engineers to assess the traffic volume on roads especially in mixed traffic conditions with no or little lane discipline. Estimating the traffic volume at intersections is again is an important assignment for the traffic engineers. Image processing is one of the best tools to evaluate the volume, speed and density of vehicles on roads. The present study provides an algorithm to count the number of vehicles on the road at Musheerabad junction signalized intersection in Hyderabad city. The traffic volume is determined by using the Image Processing tool, whereas the  average speed of all the vehicles analyzed by using Traffic Data Extractor software. Then the density of vehicles present on the road including the pedestrians is determined. The traffic volume is also counted manually by observing video footage. Then the data of counting vehicles from Image processing and the manual count is compared. It is found that the Image processing tool is best suitable to count the traffic volume in urban areas under mixed traffic conditions accurately and is cost- effective.

Keywords: Musheerabad, intersections, the traffic engineers.