Designing a Sustainable Bus Transport System with High QoS Using Computational Intelligence

  1. Patricia Ruiz 14
  2. David Peña 1
  3. Renzo Massobrio 123
  4. Bernabé Dorronsoro 14
  5. Sergio Nesmachnow 2
  1. 1 School of Engineering. University of Cadiz, Spain
  2. 2 Department of Transport and Planning, Delft University of Technology, The Netherlands
  3. 3 Universidad de la República
    info

    Universidad de la República

    Montevideo, Uruguay

    ROR https://ror.org/030bbe882

  4. 4 Faculty of Engineering, The University of Sydney, NSW, Australia
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Revista:
Earth Systems and Environmental Sciences

Año de publicación: 2022

Tipo: Revisión

DOI: 10.1016/B978-0-323-90386-8.00043-7 GOOGLE SCHOLAR lock_openAcceso abierto editor

Resumen

Administrations are facing new challenges in the transformation of cities into sustainable smart cities caused by the environmental consciousness and fostered by advances in technology. Special attention is given to sustainable mobility solutions where not only sustainability is a must but also attractiveness for users, so that they prioritize it over other transportation alternatives that negatively contribute to the greenhouse emissions and traffic congestion. In this article, we propose a two-step optimization method based on computational intelligence tools that offers a holistic efficient sustainable solution for the design of public bus transportation systems. It minimizes transfers waiting times and optimizes the battery use of a heterogeneous fleet of electric buses. Results show significant achievements on the bus system in Montevideo.