Desarrollos Tecnológicos en el Sistema Inteligente de Transporte. Una revisión sistemática
Resumen
Este artículo revisa sistemáticamente la literatura sobre el desarrollo tecnológico de los sistemas inteligentes de transporte en los últimos diez años con la metodología PRISMA. La investigación describe el concepto de ITS, su desarrollo y cómo puede mejorar el transporte y contribuir al desarrollo de ciudades inteligentes. También analiza cómo ITS se combina con las TIC y su uso en el sistema de transporte. Además, en la investigación se aborda la importancia de integrar nuevas tecnologías en los sistemas de transporte. Los documentos analizados abordan implementaciones exitosas de ITS para apoyar las tendencias de urbanización y motorización. Por ejemplo, después de más de 20 años de desarrollo en China, ITS ha crecido hasta alcanzar logros notables. Además, el documento también repasa el desarrollo de los vehículos autónomos. Una de las principales razones para promover las tecnologías AV es su potencial para reducir los errores humanos, como la fatiga, la distracción y la conducción enérgica.
Palabras clave
Referencias
Abduljabbar, R., Dia, H., Liyanage, S., & Bagloee, S. A. (2019). Applications of Artificial Intelligence in Transport: An Overview. Sustainability 2019, Vol. 11, Page 189, 11(1), 189. https://doi.org/10.3390/SU11010189
Alam, M., Ferreira, J., & Fonseca, J. (2016). Introduction to intelligent transportation systems. Studies in Systems, Decision, and Control, 52, 1–17. https://doi.org/10.1007/978-3-319-28183-4_1/COVER
Dontu, A. I., Gaiginschi, L., & Barsanescu, P. D. (2019). Reducing urban pollution by integrating weigh-in-motion sensors into intelligent transportation systems. {State} of the art and future trends. IOP Conference Series: Materials Science and Engineering, 591(1), 12087. https://doi.org/10.1088/1757-899x/591/1/012087
Ganin, A. A., Mersky, A. C., Jin, A. S., Kitsak, M., Keisler, J. M., & Linkov, I. (2019). Resilience in Intelligent Transportation Systems (ITS). Transportation Research Part C: Emerging Technologies, 100, 318–329. https://doi.org/10.1016/J.TRC.2019.01.014
Guan, S., Zhang, Q., & Hu, C. (2020, April). Coordination Research of Urban Intelligent Transportation System. Proceedings of the 2020 2nd International Conference on Big Data and Artificial Intelligence. https://doi.org/10.1145/3436286.3436302
Guan, S., & Zhang, Q. (2020). Estimating the Contribution of Intelligent Transportation to Urban Economic Growth. 2020 13th International Symposium on Computational Intelligence and Design (ISCID). https://doi.org/10.1109/iscid51228.2020.00029
Huang, W., Wei, Y., Guo, J., & Cao, J. (2017). Next-generation innovation and development of intelligent transportation system in China. Science China Information Sciences, 60(11). https://doi.org/10.1007/s11432-017-9182-x
Khan, S., Adnan, A., & Iqbal, N. (2022, July). Applications of Artificial Intelligence in Transportation. 2022 International Conference on Electrical, Computer and Energy Technologies (ICECET). https://doi.org/10.1109/icecet55527.2022.9872928
Lendel, V., Pancikova, L., & Falat, L. (2016). Advanced Predictive Methods of Artificial Intelligence in Intelligent Transport Systems. In Data Mining and Big Data (pp. 165–174). Springer International Publishing. https://doi.org/10.1007/978-3-319-40973-3_16
Lopez Conde, M., & Twinn, I. (2019). How Artificial Intelligence is Making Transport Safer, Cleaner, More Reliable and Efficient in Emerging Markets. International Finance Corporation, Washington, DC. https://doi.org/10.1596/33387
Machin, M., Sanguesa, J. A., Garrido, P., & Martinez, F. J. (2018). On the use of artificial intelligence techniques in intelligent transportation systems. 2018 IEEE Wireless Communications and Networking Conference Workshops (WCNCW}). https://doi.org/10.1109/wcncw.2018.8369029
Miles, J. C., & Walker, A. J. (2006). The potential application of artificial intelligence in transport. IEE Proceedings - Intelligent Transport Systems, 153(3), 183. https://doi.org/10.1049/ip-its:20060014
Raza, N., Jabbar, S., Han, J., & Han, K. (2018). Social Vehicle-To-Everything (V2X) communication model for Intelligent Transportation Systems based on 5G scenario. ACM International Conference Proceeding Series. https://doi.org/10.1145/3231053.3231120
Stawiarska, E., & Sobczak, P. (2018). The impact of intelligent transportation system implementations on the sustainable growth of passenger transport in EU regions. Sustainability (Switzerland), 10(5). https://doi.org/10.3390/su10051318
Shladover, S. E. (2017). Connected and automated vehicle systems: Introduction and overview. Https://Doi.Org/10.1080/15472450.2017.1336053, 22(3), 190–200. https://doi.org/10.1080/15472450.2017.1336053
Siergiejczyk, M., Krzykowska, K., Rosinski, A., & Grieco, L. A. (2017). Reliability and Viewpoints of Selected ITS System. 2017 25th International Conference on Systems Engineering (ICSEng). https://doi.org/10.1109/icseng.2017.68
Štencl, M., & Lendel, V. (2012). Application of selected artificial intelligence methods in terms of transport and intelligent transport systems. Periodica Polytechnica Transportation Engineering, 40(1), 11. https://doi.org/10.3311/pp.tr.2012-1.02
Sumalee, A., & Ho, H. W. (2018). Smarter and more connected: Future intelligent transportation system. IATSS Research, 42(2), 67–71. https://doi.org/10.1016/J.IATSSR.2018.05.005
Van Brummelen, J., O’Brien, M., Gruyer, D., & Najjaran, H. (2018). Autonomous vehicle perception: The technology of today and tomorrow. Transportation Research Part C: Emerging Technologies, 89, 384–406. https://doi.org/10.1016/J.TRC.2018.02.012
Wang, X., Zhang, F., Li, B., & Gao, J. (2017). Developmental pattern and international cooperation on intelligent transport system in {China}. Case Studies on Transport Policy, 5(1), 38–44. https://doi.org/10.1016/j.cstp.2016.08.004
Zhu, L., Yu, F. R., Wang, Y., Ning, B., & Tang, T. (2019). Big Data Analytics in Intelligent Transportation Systems: A Survey. IEEE Transactions on Intelligent Transportation Systems, 20(1), 383–398. https://doi.org/10.1109/TITS.2018.2815678
DOI: https://doi.org/10.23857/pc.v7i12.5029
Enlaces de Referencia
- Por el momento, no existen enlaces de referencia
Polo del Conocimiento
Revista Científico-Académica Multidisciplinaria
ISSN: 2550-682X
Casa Editora del Polo
Manta - Ecuador
Dirección: Ciudadela El Palmar, II Etapa, Manta - Manabí - Ecuador.
Código Postal: 130801
Teléfonos: 056051775/0991871420
Email: polodelconocimientorevista@gmail.com / director@polodelconocimiento.com
URL: https://www.polodelconocimiento.com/