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Impact of Geometric, Traffic, and Environmental Conditions on Video Detection Performance: A Case Study in Baton Rouge Metropolitan Area

Saleh R. Mousa 1 and Jennifer Bonnette 2
1. Julius Codjoe, Osama A. Osman, Syndney Jenkins, Peter R. Bakhit and Sherif Ishak, Louisiana State University, Civil Engineering Department, Baton Rouge, USA
2. Louisiana Department of Transportation and Development

Abstract—This study investigates the impact of different site-related factors such as traffic conditions, lighting conditions, turning movements, and geometric characteristics of intersections on the accuracy of video detection. A sample of intersections was selected from the Baton Rouge Metropolitan (BR-MPO) Area. For each intersection, traffic counts were collected with video detection technology and manually to represent ground truth data. Comparative statistical analysis results indicated that only lane configuration, time of day, and traffic conditions were statistically affecting video detection accuracy. The impact of these factors was further analyzed using t-test. The results indicated that the peak hours and night periods contained the least accurate counts. The analysis results indicated that detection accuracy was negatively affected by heavy traffic conditions. For the lane configuration, there were statistical differences for the through lanes, right lanes, and shared right/through lanes. As 60% of the sampled intersections provided reliable performance, the research team attributed the poor performance of the detection system at some intersections to lack of calibration and maintenance. It was concluded that recalibrating the detection systems, improving lighting conditions, and realigning the cameras can significantly improve the performance of the detection system and improve the reliability of traffic counts.

Index Terms—video detection, lighting conditions, traffic conditions, lane configuration, Baton Rouge Metropolitan (BR-MPO) Area

Cite: Saleh R. Mousa and Jennifer Bonnette, "Impact of Geometric, Traffic, and Environmental Conditions on Video Detection Performance: A Case Study in Baton Rouge Metropolitan Area," Journal of Traffic and Logistics Engineering, Vol. 4, No. 2, pp. 160-166, December 2016. doi: 10.18178/jtle.4.2.160-166
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