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Modelling Road Saturation Dynamics on a Complex Transportation Network Based on GPS Navigation Software Data

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High Performance Computing (CARLA 2019)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1087))

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Abstract

High traffic concentration during weekdays in the Great Metropolitan Area of Costa Rica causes severe traffic congestion and high costs for the population. It is crucial to deeply understand the dynamics of traffic congestion to design and implement long term solutions. Given the lack of official data to study traffic congestion, we model it using a transportation network based on data captured throughout the year 2018 by a GPS navigation software application (Waze), provided by the Ministry of Public Works and Transportation (MOPT in Spanish). In this paper, we focus on the data transformation procedure to create the transportation network and propose a traffic congestion classification with the available data. We developed a practical methodology which consists of four main stages: data preparation, road network modelling, road saturation estimation, and saturation dynamics analysis. The results show it is possible to model road saturation level using the proposed methodology. We were able to classify road segments in five categories that effectively represent the levels of road saturation. This classification gives us a clear overview of the real-world conditions faced by road network users.

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Author information

Authors and Affiliations

  1. Advanced Computing Laboratory, Costa Rica National High Technology Center (CeNAT), San José, Costa Rica

    Mariana Cubero-Corella, Warner Díaz & Esteban Meneses

  2. State of the Nation Program, San José, Costa Rica

    Esteban Durán-Monge, Warner Díaz & Steffan Gómez-Campos

  3. School of Computing, Costa Rica Institute of Technology, Cartago, Costa Rica

    Esteban Meneses

Authors
  1. Mariana Cubero-Corella
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  2. Esteban Durán-Monge
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  3. Warner Díaz
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  4. Esteban Meneses
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  5. Steffan Gómez-Campos
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Corresponding author

Correspondence to Mariana Cubero-Corella .

Editor information

Editors and Affiliations

  1. Costa Rica Institute of Technology, Cartago, Costa Rica

    Juan Luis Crespo-Mariño

  2. Costa Rica Institute of Technology, Cartago, Costa Rica

    Esteban Meneses-Rojas

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Cubero-Corella, M., Durán-Monge, E., Díaz, W., Meneses, E., Gómez-Campos, S. (2020). Modelling Road Saturation Dynamics on a Complex Transportation Network Based on GPS Navigation Software Data. In: Crespo-Mariño, J., Meneses-Rojas, E. (eds) High Performance Computing. CARLA 2019. Communications in Computer and Information Science, vol 1087. Springer, Cham. https://doi.org/10.1007/978-3-030-41005-6_10

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  • DOI: https://doi.org/10.1007/978-3-030-41005-6_10

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-030-41004-9

  • Online ISBN: 978-3-030-41005-6

  • eBook Packages: Computer ScienceComputer Science (R0)

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