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Modelling Urban Traffic Configuration with the Influence of Human Factors

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Advances in Artificial Intelligence – IBERAMIA 2022 (IBERAMIA 2022)

Part of the book series: Lecture Notes in Computer Science ((LNAI,volume 13788))

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Abstract

Long vehicles queues at traffic signalized intersections are common elements on most urban roads. One of the causes of this problem is the configuration of installed traffic signals. The analysis of these configurations must consider human behavior, which is sometimes imprudent. Imprudence combined with poor signal configuration makes the waiting time on the road worse. Queuing theory is commonly used to represent traffic flow. This paper presents a queuing based model to evaluate traffic configurations with the inclusion of the parameters related to pedestrians and drivers simultaneously. An agent-based simulation is used to obtained results from the model with different human parameters. Comparisons show that when analyzing certain behaviors and characteristics of people, traffic performance, measured by waiting time, is affected.

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Notes

  1. 1.

    A complete parameters configuration can be downloaded from https://github.com/amoreno98/Mathematical-Model/blob/main/parameters.json.

  2. 2.

    Measurements and observations can be found in https://github.com/amoreno98/Mathematical-Model/tree/main/Measurements.

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Authors and Affiliations

  1. Facultad de Ingeniería Informática, Universidad Tecnológica de La Habana “José Antonio Echeverría”, CUJAE, La Habana, Cuba

    Ariadna C. Moreno Román, Mailyn Moreno Espino & Cynthia Porras

  2. Instituto de Tecnología del Conocimiento, Universidad Complutense de Madrid, Madrid, Spain

    Juan Pavón

Authors
  1. Ariadna C. Moreno Román
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  2. Mailyn Moreno Espino
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  3. Cynthia Porras
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  4. Juan Pavón
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Corresponding author

Correspondence to Cynthia Porras .

Editor information

Editors and Affiliations

  1. Federal University of Rio de Janeiro, Rio de Janeiro, Brazil

    Ana Cristina Bicharra Garcia

  2. Fluminense Federal University, Niterói, Brazil

    Mariza Ferro

  3. University of Cartagena, Cartagena de Indias, Colombia

    Julio Cesar Rodríguez Ribón

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Moreno Román, A.C., Moreno Espino, M., Porras, C., Pavón, J. (2022). Modelling Urban Traffic Configuration with the Influence of Human Factors. In: Bicharra Garcia, A.C., Ferro, M., Rodríguez Ribón, J.C. (eds) Advances in Artificial Intelligence – IBERAMIA 2022. IBERAMIA 2022. Lecture Notes in Computer Science(), vol 13788. Springer, Cham. https://doi.org/10.1007/978-3-031-22419-5_5

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  • DOI: https://doi.org/10.1007/978-3-031-22419-5_5

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  • Print ISBN: 978-3-031-22418-8

  • Online ISBN: 978-3-031-22419-5

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