Annex 16 : automated traffic monitoring for complex road conditions
Date
2018-03
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Abstract
Recent advancements in computer vision and machine learning techniques have made traffic monitoring systems highly effective in well structured traffic conditions such as highways. But these systems struggle in handling complex and irregular conditions that exist in developing countries, due to lack of infrastructure and regulation. This research breaks down the problem into different sub-tasks such as vehicle detection, vehicle tracking, and vehicle recognition, then combines each process into one pipeline that can be used for traffic monitoring. Implementing the final pipeline involves improving and aggregating existing techniques. Results demonstrate the potential of these techniques for automated traffic monitoring.
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Keywords
TRAFFIC MANAGEMENT, AUTOMATION, URBAN SETTING, BIG DATA, SRI LANKA, MACHINE LEARNING, DATA MINING, URBAN ENVIRONMENT, TRANSPORT INFRASTRUCTURE, SOUTH ASIA, COLOMBO