Speed estimation of vehicle traffic
Abstract
The Metropolitan Manila Development Authority (MMDA) provides real-time traffic monitoring through strategically-located surveillance cameras all over Metro Manila. However, its current scheme reduces traffic analysis to 15-minute interval updates and three-state evaluation, not making use of the much available information offered by traffic videos. In this paper, a simple algorithm was introduced to address such issues by tracking vehicles in real-time and estimating their average speeds using linear regression and calibration. Speed distributions of two MMDA videos were analyzed. The algorithm was able to capture a wide speed range, from 7 km/h to 49 km/h. It was also able to contrast speed distribution between normal and bus lanes.
By submitting their manuscript to the Samahang Pisika ng Pilipinas (SPP) for consideration, the Authors warrant that their work is original, does not infringe on existing copyrights, and is not under active consideration for publication elsewhere.
Upon acceptance of their manuscript, the Authors further agree to grant SPP the non-exclusive, worldwide, and royalty-free rights to record, edit, copy, reproduce, publish, distribute, and use all or part of the manuscript for any purpose, in any media now existing or developed in the future, either individually or as part of a collection.
All other associated economic and moral rights as granted by the Intellectual Property Code of the Philippines are maintained by the Authors.
