Input keywords, title, abstract, author, affiliation etc..
Journal Article An open access journal
Journal Article

Enhancing Transportation Systems with Intelligent Mobility Solutions

by Mary Rodriguez
1
University of Zadar
*
Author to whom correspondence should be addressed.
JEIT  2022 4(3):152; https://doi.org/10.xxxx/xxxxxx
Received: 30 August 2022 / Accepted: 30 September 2022 / Published Online: 30 September 2022

Abstract

This paper explores the enhancement of transportation systems through intelligent mobility solutions enabled by AI-driven engineering. Through case studies and research insights, it investigates how artificial intelligence is revolutionizing traditional transportation practices, including traffic management, vehicle automation, and urban mobility. The study highlights the application of AI techniques such as machine learning algorithms, traffic prediction models, and autonomous vehicle technology in improving safety, efficiency, and sustainability in transportation networks. Additionally, it discusses the integration of AI with smart transportation infrastructure, ride-sharing platforms, and electric mobility solutions to enable seamless connectivity, multimodal travel, and sustainable mobility options. The paper also addresses challenges such as data privacy, regulatory framework, and societal acceptance in the adoption of AI-driven engineering solutions in transportation. It emphasizes the importance of stakeholder engagement, policy support, and public trust in leveraging AI's potential to enhance transportation systems and create more inclusive and accessible mobility for all.


Copyright: © 2022 by Rodriguez. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY) (Creative Commons Attribution 4.0 International License). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

Share and Cite

ACS Style
Rodriguez, M. Enhancing Transportation Systems with Intelligent Mobility Solutions. Journal of Engineering Innovations & Technology, 2022, 4, 152. doi:10.xxxx/xxxxxx
AMA Style
Rodriguez M.. Enhancing Transportation Systems with Intelligent Mobility Solutions. Journal of Engineering Innovations & Technology; 2022, 4(3):152. doi:10.xxxx/xxxxxx
Chicago/Turabian Style
Rodriguez, Mary 2022. "Enhancing Transportation Systems with Intelligent Mobility Solutions" Journal of Engineering Innovations & Technology 4, no.3:152. doi:10.xxxx/xxxxxx

Article Metrics

Article Access Statistics

References

  1. Becker, H., & Axhausen, K. W. (2017). Literature review on surveys investigating the acceptance of automated vehicles. Transportation, 44(6), 1293-1306.
  2. Chien, S., Hwang, R., & Fink, A. (2019). Data-driven intelligent transportation systems: A survey. IEEE Transactions on Intelligent Transportation Systems, 21(4), 1687-1696.
  3. Fernandes, R., Peças Lopes, J. A., & Silva, H. M. (2018). Impact of electric vehicles on power distribution networks: A review and outlook. IEEE Transactions on Power Systems, 33(1), 529-541.
  4. Lu, X., Gao, Y., Kumar, S., & Shen, W. (2019). A survey of algorithms and systems for smart city operations. ACM Computing Surveys (CSUR), 51(1), 1-32.
  5. Mahmassani, H. S. (2019). Smart and connected communities: Foundations, principles, and applications. Transportation Research Part C: Emerging Technologies, 99, 252-271.
  6. Ratti, C., & Pulselli, R. M. (2018). Urban mobility systems as complex systems. Complexity, 2018, 1-11.
  7. Zheng, S., de Moura, J. L., Gu, W., & Wang, L. (2018). Big data for social transportation. IEEE Transactions on Intelligent Transportation Systems, 19(3), 890-904.