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Circuit Analysis Approach for Sustainable Routing Optimization with Multiple Delivery Points

Author

Listed:
  • Rogelio A. Callejas-Molina

    (Facultad de Instrumentación Electrónica, Universidad Veracruzana, Cto. Gonzalo Aguirre Beltrán s/n, Zona Universitaria, Xalapa 91000, Veracruz, Mexico)

  • Hector Vazquez-Leal

    (Facultad de Instrumentación Electrónica, Universidad Veracruzana, Cto. Gonzalo Aguirre Beltrán s/n, Zona Universitaria, Xalapa 91000, Veracruz, Mexico)

  • Jesus Huerta-Chua

    (Instituto Tecnológico Superior de Poza Rica, Calle Luis Donaldo Colosio Murrieta s/n, Col. Arroyo del Maíz, Poza Rica 93230, Veracruz, Mexico)

  • Uriel A. Filobello-Nino

    (Facultad de Instrumentación Electrónica, Universidad Veracruzana, Cto. Gonzalo Aguirre Beltrán s/n, Zona Universitaria, Xalapa 91000, Veracruz, Mexico)

  • Mario A. Sandoval-Hernandez

    (Centro de Bachillerato Tecnologico Industrial y de Servicios No. 190, Boca del Río 94297, Veracruz, Mexico)

  • Rosalba Aguilar-Velazquez

    (Facultad de Contaduría y Administración, Circuito Gonzalo Aguirre Beltrán s/n, Zona Universitaria, Xalapa 91000, Veracruz, Mexico)

  • Javier Diaz-Carmona

    (Instituto Tecnológico de Celaya, Tecnológico Nacional de México, Antonio García Cubas Pte. 600, Col. Fovissste, Celaya 38010, Guanajuato, Mexico)

Abstract

This paper introduces a novel methodology for vehicle routing services called Route Optimization with Multiple Delivery Points (ROMP), which works by modeling urban street networks as analog electrical circuits. This methodology translates road networks into a linear electrical circuit where the resistances of circuit branches represent parameters like vehicular flow and street length, derived from geographic positions between intersections. By applying Modified Nodal Analysis (MNA) to this circuit, ROMP identifies high-current paths that closely approximate minimal travel distances. The practical performance of ROMP is demonstrated through three case studies, showing its potential to yield shorter routes and faster route-finding compared to OpenRouteService (ORS). The resultant improvements can lead to fuel savings, reduced labor costs, and enhanced logistics operations, particularly in applications involving a single origin and multiple delivery points, such as goods delivery and patient transport. In addition, this proposal supports sustainability by optimizing routes, which helps reduce the environmental impact of transportation and lower greenhouse gas emissions. Furthermore, shorter travel distances and improved efficiency promote better energy use, enhancing air quality and urban sustainability. Future work aims to integrate new street models and real-time traffic data to expand ROMP’s applicability in vehicle routing research.

Suggested Citation

  • Rogelio A. Callejas-Molina & Hector Vazquez-Leal & Jesus Huerta-Chua & Uriel A. Filobello-Nino & Mario A. Sandoval-Hernandez & Rosalba Aguilar-Velazquez & Javier Diaz-Carmona, 2025. "Circuit Analysis Approach for Sustainable Routing Optimization with Multiple Delivery Points," Sustainability, MDPI, vol. 17(7), pages 1-21, March.
    • Handle: RePEc:gam:jsusta:v:17:y:2025:i:7:p:2866-:d:1619212
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    References listed on IDEAS

    as
    1. Dorina Pojani & Dominic Stead, 2015. "Sustainable Urban Transport in the Developing World: Beyond Megacities," Sustainability, MDPI, vol. 7(6), pages 1-22, June.
    2. Lisa Winkler & Drew Pearce & Jenny Nelson & Oytun Babacan, 2023. "The effect of sustainable mobility transition policies on cumulative urban transport emissions and energy demand," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    3. Rocio de la Torre & Canan G. Corlu & Javier Faulin & Bhakti S. Onggo & Angel A. Juan, 2021. "Simulation, Optimization, and Machine Learning in Sustainable Transportation Systems: Models and Applications," Sustainability, MDPI, vol. 13(3), pages 1-21, February.
    4. Tolmachev, A. V. & Sinitsyn, E. V. & Brusyanin, D. A., 2019. "Transport System Modelling Based on Analogies Between Road Networks and Electrical Circuits," R-Economy, Ural Federal University, Graduate School of Economics and Management, vol. 5(2), pages 92-98.
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