Prediction of Metro Manila traffic from discrete time series

Authors

  • Jan Parvin Bat-og Zoluaga ⋅ PH National Institute of Physics, University of the Philippines Diliman
  • Giovanni Tapang ⋅ PH National Institute of Physics, University of the Philippines Diliman

Abstract

We use correlation measurements to predict traffic at intersections of major roads in Metro Manila monitored by the Metro Manila Development Authority (MMDA) on their traffic monitoring site. Qualitative traffic data are recorded every 5 minutes from the site and are used to construct discrete time series. The Z measurement based on Pearson's r and mutual information score is used to pick out significantly correlated pairs of time series. A prediction method is applied to these pairs, and the success rate/characteristic curve is obtained for different time delays and using different lengths of historical traffic data.

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Issue

Opportunities and challenges in physics collaboration and research
7-10 June 2017, Cebu City

Mabuhay! This is our first issue published using PKP's Online Journal Systems (OJS). Full online access to PDF articles is provided to registered Paperview users.

Article ID

SPP-2017-3D-05

Section

Complex Systems and Data Analytics

Published

2017-06-07

How to Cite

[1]
JPB- og Zoluaga and G Tapang, Prediction of Metro Manila traffic from discrete time series, Proceedings of the Samahang Pisika ng Pilipinas 35, SPP-2017-3D-05 (2017). URL: https://proceedings.spp-online.org/article/view/178.