Mexico and PRONACES towards to become a smart city
DOI:
https://doi.org/10.61467/2007.1558.2023.v14i3.387Keywords:
PRONACES, Smart Cities, Artificial intelligenceAbstract
This paper presents a comprehensive state-of-the-art analysis and mathematical modeling of the National Program for Smart Cities (PRONACES) initiatives in Mexico's journey towards smart city development. The focus is on examining how PRONACES integrates technological innovation with urban planning and sustainability, leveraging mathematical models to optimize and predict the outcomes of various smart city initiatives. The methodology includes a review of current literature to establish the state of the art, followed by the development and application of mathematical models to assess and forecast the effectiveness of PRONACES strategies. These models are based on a variety of parameters including urban growth, technology adoption, resource allocation, and environmental impact. Key findings demonstrate the significant role of PRONACES in transforming urban landscapes in Mexico. The mathematical models provide valuable predictions and insights into the potential outcomes of various smart city strategies, indicating pathways for efficient resource management, infrastructure development, and sustainable urban growth. The paper concludes with an emphasis on the importance of mathematical modeling in planning and implementing smart city initiatives. The challenges and opportunities presented by Mexico’s unique urban landscape are discussed, along with recommendations for future research and policy-making in the field of smart urban development.
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 International Journal of Combinatorial Optimization Problems and Informatics
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.