Derechos de autor 2023 Investigación e Innovación en Ingenierías
Esta obra está bajo una licencia internacional Creative Commons Atribución 4.0.
Desarrollo de la plataforma Rutia para la innovación y optimización en la gestión de procesos de transporte de pasajeros
Corresponding Author(s) : Deivis Palencia García
Investigación e Innovación en Ingenierías,
Vol. 11 Núm. 1 (2023): Enero-Junio
Resumen
Objetivo: Presentar el desarrollo de Rutia, un ecosistema de soluciones tecnológicas que incluyen elementos de inteligencia artificial, y analítica de datos para administrar rutas en el transporte de pasajeros en modalidad empresarial, turística y de transporte escolar además de los contratos y otras operaciones involucradas. Metodología: Se desarrolló la solución tecnológica a través de tres (3) fases Diseño y ajuste de la plataforma Rutia, Desarrollo y validación de nuevas funcionalidades y Despliegue de la estrategia comercial. Este trabajo presenta los resultados de su validación en ambiente real de la solución con un grupo de cinco (5) early adopters, lo que permitió la retroalimentación y validación de las funcionalidades de la plataforma. Resultados: La solución permite la optimización e Integración con GPS, aplicativos Móviles, digitalización de información y reportes de interés para el sector. Conclusiones: En términos generales la plataforma cumple con las expectativas de los usuarios e impacta de manera positiva en la productividad de los vehículos (aumento promedio del 21%), lo que se refleja en la disminución de tiempos de ejecución de ruta (12% en promedio), disminución de costos de ruta (12% en promedio) e incremento del volumen de la operación y satisfacción de usuarios.
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- K. Priya Dharshini, D. Gopalakrishnan, C. K. Shankar, and R. Ramya, “A Survey on IoT Applications in Smart Cities,” EAI/Springer Innovations in Communication and Computing. Springer Science and Business Media Deutschland GmbH, Department of EEE, Sri Ramakrishna Polytechnic College, Coimbatore, India, pp. 179–204, 2022, doi: 10.1007/978-3-030-66607-1_9.
- F. Zhao, O. I. Fashola, T. I. Olarewaju, and I. Onwumere, “Smart city research: A holistic and state-of-the-art literature review,” Cities, vol. 119, 2021, doi: 10.1016/j.cities.2021.103406.
- G. Galiano, G. Forestieri, and L. Moretti, “Urban sprawl and mobility,” 2021, vol. 204, pp. 245–255, doi: 10.2495/UT210201.
- K. Ortiz and M. Quintero, “RESPONSABILIDAD SOCIAL EMPRESARIAL EN EL TRANSPORTE TERRESTRE DE PASAJEROS: UN CASO DE ESTUDIO EN LA EMPRESA EXPRESO BRASILIA S.A,” Universidad de la Costa, 2020.
- ANDI, “Cifras del sector Transporte de Pasajeros 2019 vs 2020, afectación Covid-19,” Bogota, Colombia, 2020. [Online]. Available: http://www.andi.com.co/Home/Camara/27-transporte-de-pasajeros.
- J. R. Montoya-Torres, J. López Franco, S. Nieto Isaza, H. Felizzola Jiménez, and N. Herazo-Padilla, “A literature review on the vehicle routing problem with multiple depots,” Comput. Ind. Eng., vol. 79, pp. 115–129, 2015, doi: 10.1016/j.cie.2014.10.029.
- F. E. Zulvia, R. J. Kuo, and D. Y. Nugroho, “A many-objective gradient evolution algorithm for solving a green vehicle routing problem with time windows and time dependency for perishable products,” J. Clean. Prod., vol. 242, 2020, doi: 10.1016/j.jclepro.2019.118428.
- A. M. Anaya-Arenas, C. Prodhon, J. Renaud, and A. Ruiz, “An iterated local search for the biomedical sample transportation problem with multiple and interdependent pickups,” J. Oper. Res. Soc., vol. 72, no. 2, pp. 367–382, 2021, doi: 10.1080/01605682.2019.1657369.
- J. C. Paz, M. Granada-Echeverri, and J. W. Escobar, “The multi-depot electric vehicle location routing problem with time windows,” Int. J. Ind. Eng. Comput., vol. 9, no. 1, pp. 123–136, 2018, doi: 10.5267/j.ijiec.2017.4.001.
- R. Ewert, K. Martins-Turner, C. Thaller, and K. Nagel, “Using a Route-based and Vehicle Type specific Range Constraint for Improving Vehicle Routing Problems with Electric Vehicles,” in 23rd EURO Working Group on Transportation Meeting, EWGT 2020, 2021, vol. 52, pp. 517–524, doi: 10.1016/j.trpro.2021.01.061.
- N. Shatnawi, A. A. Al-Omari, and H. Al-Qudah, “Optimization of Bus Stops Locations Using GIS Techniques and Artificial Intelligence,” Procedia Manuf., vol. 44, pp. 52–59, 2020, doi: 10.1016/j.promfg.2020.02.204.
- S. Tkatek, O. Bahti, Y. Lmzouari, and J. Abouchabaka, “Artificial Intelligence for Improving the Optimization of NP-Hard Problems: A Review,” Int. J. Adv. Trends Comput. Sci. Appl., vol. 9, no. 5, 2020.
- A. Dimitriu and I. Harmati, “Artificial intelligence based bus routing in urban areas,” 2020 23rd IEEE Int. Symp. Meas. Control Robot. ISMCR 2020, 2020, doi: 10.1109/ISMCR51255.2020.9263763.
- H. L. Vu, D. Bolingbroke, K. T. W. Ng, and B. Fallah, “Assessment of waste characteristics and their impact on GIS vehicle collection route optimization using ANN waste forecasts,” Waste Manag., vol. 88, pp. 118–130, 2019, doi: 10.1016/j.wasman.2019.03.037.
- G. C. Crişan, L. B. Iantovics, and E. Nechita, “Computational intelligence for solving difficult transportation problems,” Procedia Comput. Sci., vol. 159, pp. 172–181, 2019, doi: 10.1016/j.procs.2019.09.172.
- M. Hajdul and A. Kawa, “Global Logistics Tracking and Tracing in Fleet Management,” in Intelligent Information and Database Systems, 2015, pp. 191–199.
- L. L. Röpke and M. O. Binelo, “Development of an artificial intelligence system (AI) based on patterns recognition for the analysis of vehicular routes ,” Intel. Artif., vol. 23, no. 65, pp. 67–85, 2020, doi: 10.4114/intartif.vol23iss65pp67-85.
- L. Heng, D. B. Work, and G. X. Gao, “GPS Signal Authentication from Cooperative Peers,” IEEE Trans. Intell. Transp. Syst., vol. 16, no. 4, pp. 1794–1805, 2015, doi: 10.1109/TITS.2014.2372000.
- I. I. Villavicencio-Jacobo, J. I. Alberto Verduzco-Ramírez, N. García-Díaz III, P. I. Elizabeth Figueroa-Millán, J. V Esteban González Valladares, and A. V. Ortiz-Figueroa, “Plataforma IoT para el rastreo y monitoreo remoto de parámetros de vehículos,” vol. 6, pp. 95–113, 2020, [Online]. Available: http://dominiodelasciencias.com/ojs/index.php/es/indexhttps://orcid.org/0000-0001-7562-7578.
- Mordor Intelligence, “ADVANCED DRIVER ASSISTANCE SYSTEMS MARKET - GROWTH, TRENDS, COVID-19 IMPACT, AND FORECASTS (2021 - 2026),” Hyderabad, India, 2021. [Online]. Available: https://www.mordorintelligence.com/industry-reports/advanced-driver-assistance-systems-market.
Referencias
K. Priya Dharshini, D. Gopalakrishnan, C. K. Shankar, and R. Ramya, “A Survey on IoT Applications in Smart Cities,” EAI/Springer Innovations in Communication and Computing. Springer Science and Business Media Deutschland GmbH, Department of EEE, Sri Ramakrishna Polytechnic College, Coimbatore, India, pp. 179–204, 2022, doi: 10.1007/978-3-030-66607-1_9.
F. Zhao, O. I. Fashola, T. I. Olarewaju, and I. Onwumere, “Smart city research: A holistic and state-of-the-art literature review,” Cities, vol. 119, 2021, doi: 10.1016/j.cities.2021.103406.
G. Galiano, G. Forestieri, and L. Moretti, “Urban sprawl and mobility,” 2021, vol. 204, pp. 245–255, doi: 10.2495/UT210201.
K. Ortiz and M. Quintero, “RESPONSABILIDAD SOCIAL EMPRESARIAL EN EL TRANSPORTE TERRESTRE DE PASAJEROS: UN CASO DE ESTUDIO EN LA EMPRESA EXPRESO BRASILIA S.A,” Universidad de la Costa, 2020.
ANDI, “Cifras del sector Transporte de Pasajeros 2019 vs 2020, afectación Covid-19,” Bogota, Colombia, 2020. [Online]. Available: http://www.andi.com.co/Home/Camara/27-transporte-de-pasajeros.
J. R. Montoya-Torres, J. López Franco, S. Nieto Isaza, H. Felizzola Jiménez, and N. Herazo-Padilla, “A literature review on the vehicle routing problem with multiple depots,” Comput. Ind. Eng., vol. 79, pp. 115–129, 2015, doi: 10.1016/j.cie.2014.10.029.
F. E. Zulvia, R. J. Kuo, and D. Y. Nugroho, “A many-objective gradient evolution algorithm for solving a green vehicle routing problem with time windows and time dependency for perishable products,” J. Clean. Prod., vol. 242, 2020, doi: 10.1016/j.jclepro.2019.118428.
A. M. Anaya-Arenas, C. Prodhon, J. Renaud, and A. Ruiz, “An iterated local search for the biomedical sample transportation problem with multiple and interdependent pickups,” J. Oper. Res. Soc., vol. 72, no. 2, pp. 367–382, 2021, doi: 10.1080/01605682.2019.1657369.
J. C. Paz, M. Granada-Echeverri, and J. W. Escobar, “The multi-depot electric vehicle location routing problem with time windows,” Int. J. Ind. Eng. Comput., vol. 9, no. 1, pp. 123–136, 2018, doi: 10.5267/j.ijiec.2017.4.001.
R. Ewert, K. Martins-Turner, C. Thaller, and K. Nagel, “Using a Route-based and Vehicle Type specific Range Constraint for Improving Vehicle Routing Problems with Electric Vehicles,” in 23rd EURO Working Group on Transportation Meeting, EWGT 2020, 2021, vol. 52, pp. 517–524, doi: 10.1016/j.trpro.2021.01.061.
N. Shatnawi, A. A. Al-Omari, and H. Al-Qudah, “Optimization of Bus Stops Locations Using GIS Techniques and Artificial Intelligence,” Procedia Manuf., vol. 44, pp. 52–59, 2020, doi: 10.1016/j.promfg.2020.02.204.
S. Tkatek, O. Bahti, Y. Lmzouari, and J. Abouchabaka, “Artificial Intelligence for Improving the Optimization of NP-Hard Problems: A Review,” Int. J. Adv. Trends Comput. Sci. Appl., vol. 9, no. 5, 2020.
A. Dimitriu and I. Harmati, “Artificial intelligence based bus routing in urban areas,” 2020 23rd IEEE Int. Symp. Meas. Control Robot. ISMCR 2020, 2020, doi: 10.1109/ISMCR51255.2020.9263763.
H. L. Vu, D. Bolingbroke, K. T. W. Ng, and B. Fallah, “Assessment of waste characteristics and their impact on GIS vehicle collection route optimization using ANN waste forecasts,” Waste Manag., vol. 88, pp. 118–130, 2019, doi: 10.1016/j.wasman.2019.03.037.
G. C. Crişan, L. B. Iantovics, and E. Nechita, “Computational intelligence for solving difficult transportation problems,” Procedia Comput. Sci., vol. 159, pp. 172–181, 2019, doi: 10.1016/j.procs.2019.09.172.
M. Hajdul and A. Kawa, “Global Logistics Tracking and Tracing in Fleet Management,” in Intelligent Information and Database Systems, 2015, pp. 191–199.
L. L. Röpke and M. O. Binelo, “Development of an artificial intelligence system (AI) based on patterns recognition for the analysis of vehicular routes ,” Intel. Artif., vol. 23, no. 65, pp. 67–85, 2020, doi: 10.4114/intartif.vol23iss65pp67-85.
L. Heng, D. B. Work, and G. X. Gao, “GPS Signal Authentication from Cooperative Peers,” IEEE Trans. Intell. Transp. Syst., vol. 16, no. 4, pp. 1794–1805, 2015, doi: 10.1109/TITS.2014.2372000.
I. I. Villavicencio-Jacobo, J. I. Alberto Verduzco-Ramírez, N. García-Díaz III, P. I. Elizabeth Figueroa-Millán, J. V Esteban González Valladares, and A. V. Ortiz-Figueroa, “Plataforma IoT para el rastreo y monitoreo remoto de parámetros de vehículos,” vol. 6, pp. 95–113, 2020, [Online]. Available: http://dominiodelasciencias.com/ojs/index.php/es/indexhttps://orcid.org/0000-0001-7562-7578.
Mordor Intelligence, “ADVANCED DRIVER ASSISTANCE SYSTEMS MARKET - GROWTH, TRENDS, COVID-19 IMPACT, AND FORECASTS (2021 - 2026),” Hyderabad, India, 2021. [Online]. Available: https://www.mordorintelligence.com/industry-reports/advanced-driver-assistance-systems-market.