Mesoscopic modeling framework for public transport traffic

Authors

  • Damian N. Dailisan National Institute of Physics, University of the Philippines Diliman and Analytics, Computing, and Complex Systems Laboratory, Asian Institute of Management
  • Adrian Chester M. Balingit National Institute of Physics, University of the Philippines Diliman
  • May T. Lim National Institute of Physics, University of the Philippines Diliman

Abstract

We present a general framework for incorporating the passenger-centric viewpoint in a mesoscopic traffic flow model. We modify the Open Traffic Models (OTM) platform to take into account stops along links. In contrast to agent-based models that focus on interactions and mechanisms at a small scale, our mesoscopic queuing model framework scales well to urban-scale applications. Starting with a scenario that demonstrates the Braess paradox for a 100% car system, we show how prioritized public transportation on the link that causes the Braess paradox leads to a satisfactory solution.

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Issue

Article ID

SPP-2021-3C-03

Section

Complex Systems and Data Analytics

Published

2021-10-09

How to Cite

[1]
DN Dailisan, ACM Balingit, and MT Lim, Mesoscopic modeling framework for public transport traffic, Proceedings of the Samahang Pisika ng Pilipinas 39, SPP-2021-3C-03 (2021). URL: https://proceedings.spp-online.org/article/view/SPP-2021-3C-03.