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Optimizing Street Mobility Through a NetLogo Simulation Environment

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Computational Vision and Bio-Inspired Computing ( ICCVBIC 2019)

Part of the book series: Advances in Intelligent Systems and Computing ((AISC,volume 1108))

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Abstract

The routes and streets make it possible to drive and travel through the cities, but unfortunately traffic and particularly congestion leads to drivers losing time while traveling from one place to another, because of the time it takes to transit on the roads, in addition to waiting times by traffic lights. This research introduces the extension of an agent-oriented system aimed at reducing driver waiting times at a street intersection. The simulation environment was implemented in NetLogo, which allowed comparison of the impact of smart traffic light use versus a fixed-time traffic light.

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Author information

Authors and Affiliations

  1. Universidad Peruana de Ciencias Aplicadas, Lima, Peru

    Jesús Silva

  2. Universidad de la Costa (CUC), Calle 58 # 55-66, Baranquilla, Atlantico, Colombia

    Noel Varela

  3. Universidad Tecnológica Centroamericana (UNITEC), San Pedro Sula, Honduras

    Omar Bonerge Pineda Lezama

Authors
  1. Jesús Silva
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  2. Noel Varela
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  3. Omar Bonerge Pineda Lezama
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Corresponding author

Correspondence to Jesús Silva .

Editor information

Editors and Affiliations

  1. Department of CSE, RVS Technical Campus, Coimbatore, India

    S. Smys

  2. Faculty of Engineering, Faculdade de Engenharia da Universidade do Porto, Porto, Portugal

    João Manuel R. S. Tavares

  3. Faculty of Engineering, Aurel Vlaicu University of Arad, Arad, Romania

    Valentina Emilia Balas

  4. School of Computing, Tokyo Institute of Technology, Tokyo, Japan

    Abdullah M. Iliyasu

Ethics declarations

✓ All authors declare that there is no conflict of interest

✓ No humans/animals involved in this research work.

✓ We have used our own data.

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Silva, J., Varela, N., Lezama, O.B.P. (2020). Optimizing Street Mobility Through a NetLogo Simulation Environment. In: Smys, S., Tavares, J., Balas, V., Iliyasu, A. (eds) Computational Vision and Bio-Inspired Computing. ICCVBIC 2019. Advances in Intelligent Systems and Computing, vol 1108. Springer, Cham. https://doi.org/10.1007/978-3-030-37218-7_6

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