S&T Interventions for Intelligent Traffic Management Systems

  • John Anthony Jose
  • De La Salle University, Manila, Philippines
  • Varsolo Sunio
  • Department of Science and Technology-Philippine Council for Industry, Energy, and Emerging Technology Research and Development, Taguig City, Philippines
  • Science Engineering and Management Research Institute, University of Asia and the Pacific, Pasig City, Philippines
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  • APA 7th Edition:
    Jose, J. A., & Sunio, V. (2022). S&T Interventions for Intelligent Traffic Management Systems. Innovatus: A Journal on Computing Technology Innovations, 5(2), 11–13. https://doi.org/10.5281/zenodo.7339938.
  • Harvard:
    Jose, J.A. and Sunio, V. (2022) “S&T Interventions for Intelligent Traffic Management Systems,” Innovatus: A Journal on Computing Technology Innovations, 5(2), pp. 11–13. Available at: https://doi.org/10.5281/zenodo.7339938.
  • IEEE:
    J. A. Jose and V. Sunio, “S&T Interventions for MMDA Intelligent Traffic Management Systems,” Innovatus: A Journal on Computing Technology Innovations, vol. 5, no. 2, pp. 11–13, Dec. 2022.

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