Speed estimation of vehicle traffic

  • Ivan Misola Fenis National Institute of Physics, University of the Philippines Diliman
  • Damian Dailisan National Institute of Physics, University of the Philippines Diliman
  • May Lim National Institute of Physics, University of the Philippines Diliman

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.

Published
2017-06-07
How to Cite
[1]
I. Fenis, D. Dailisan, and M. Lim. Speed estimation of vehicle traffic, Proceedings of the Samahang Pisika ng Pilipinas 35, SPP-2017-PB-07 (2017). URL: https://paperview.spp-online.org/proceedings/article/view/134.
Section
Poster Session B (Complex Systems, Simulations, and Theoretical Physics)