System for location and reservation of parking spaces in the city of Huancayo through a mobile application

Abstract

The study is based on developing a technological model based on Machine Learning (ML) through a mobile application for searching and reserving parking in real time. It begins by identifying the methodology for implementing the model from the user's perspective in relation to the parking service provided by the host. Then, a prototype of the technological model is created using the Figma prototype design tool. Statistical tests are designed to evaluate the technological model using python code to demonstrate the results, with indicators such as "Parking search time" and "User satisfaction" from 42 users. Data on these indicators were collected before and after the implementation of the technological model. The results show a significant difference in search times and user satisfaction between the technological model and the traditional method of searching for parking. It is concluded that the technological model offers advantages in reducing search time and improving user experience, which simplifies urban life and helps mitigate traffic congestion problems. Promoting development through innovation and the adoption of emerging technologies in the search for parking, with an improvement in urban mobility and in the quality of life of citizens.