Mobile application showing features and analysis of nearby parking lots

Authors

  • Mariano de Jesús Avilés Torres National Technological Institute of Mexico image/svg+xml
  • Karla Sayda Osobampo Miguel National Technological Institute of Mexico image/svg+xml
  • Israel Gamboa Cózart National Technological Institute of Mexico image/svg+xml
  • Valeria Orduño Rodríguez National Technological Institute of Mexico image/svg+xml
  • Laura Yunuel Calderón Cortés National Technological Institute of Mexico image/svg+xml

DOI:

https://doi.org/10.61273/neyart.v4i3.175

Keywords:

Parking, Application, Mobile, Speed

Abstract

This is an innovation project designed to help users find parking quickly through a geographic information system (GIS) that maps nearby options with real-time updates on capacity, availability (using sensing technology), features, accessibility, hours, and pricing. With advanced personalization features, the app allows users to set preferences such as parking type (covered, outdoor, secure) and price range. Owners manage their own facility data. The goal is to provide excellent customer service by optimizing the time spent searching for and reaching a spot, while offering owners high profits and long-term sustainable growth nationwide. The app provides statistics and insights through descriptive, diagnostic, and predictive analysis to improve decision-making and profitability. It simplifies the search, reduces parking time, encourages the use of public spaces, contributes to traffic decongestion, and enhances the overall experience—promoting efficient and sustainable urban mobility and citizen well-being. The mobile application integrates real-time database management systems, ICT, data analytics, IoT, and cloud computing for an optimal user experience. The project follows a sequential (waterfall) methodology, aiming to provide detailed parking insights in real-time. In conclusion, the core innovation is ensuring customer satisfaction so that GUI-PARK becomes the top choice for users while maintaining high occupancy rates for owners.

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References

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Published

2026-04-13

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How to Cite

Avilés Torres , M. de J., Osobampo Miguel , K. S., Gamboa Cózart , I., Orduño Rodríguez , V., & Calderón Cortés , L. Y. (2026). Mobile application showing features and analysis of nearby parking lots. Revista NeyArt, 4(3), 63–72. https://doi.org/10.61273/neyart.v4i3.175

Issue

Section

Innovación Tecnológica Aplicada (ITA)