INTELLIGENT SYSTEM FOR PUBLIC TRANSPORTATION MANAGEMENT IN LINS: REAL-TIME MONITORING OF BUSES AND ROUTES

Abstract

This article presents the development and evaluation of a web-based platform for managing public transportation in the municipality of Lins, with an emphasis on real-time monitoring of buses and routes. The proposal is motivated by the growing demand for technological solutions aimed at improving urban mobility, particularly in medium-sized cities, where the lack of accurate information regarding vehicle location and arrival times directly impacts user experience. In this context, the study seeks to reduce passenger uncertainty by promoting greater predictability, accessibility, and efficiency in the use of public transportation. From a methodological perspective, this research is classified as applied, with a qualitative approach and an exploratory and descriptive nature. The solution was developed through the construction of a functional prototype integrating both hardware and software components. At the physical layer, microcontrollers and sensors were employed to detect vehicle presence, along with wireless communication modules for data transmission. At the logical layer, a programming language suitable for embedded systems was used for data processing. Finally, at the presentation layer, a web interface was developed to display the collected data in a clear and accessible manner in real time. The results demonstrated that the integration of system components enabled the effective simulation of a connected urban monitoring environment. The system showed stable performance in detecting vehicle approach and transmitting information, allowing users to access real-time data efficiently. Furthermore, the solution revealed the potential to transform bus stops into active information agents, improving user experience and enhancing autonomy, especially for individuals with accessibility needs. From a discussion standpoint, the use of low-cost technologies, such as electronic prototyping platforms and radio frequency communication, proved to be a viable alternative for urban mobility solutions. However, challenges related to scalability, security, and reliability must be considered for real-world implementation. In this sense, the proposal aligns with smart city principles by integrating sensing, connectivity, and real-time data availability.In conclusion, the developed platform meets its intended objectives, demonstrating both technical feasibility and social relevance. Future work includes integration with Internet of Things (IoT) technologies, real-time geolocation services, and enhanced accessibility features such as audio feedback and inclusive interfaces. These improvements may further increase the system’s impact, contributing to the modernization of public transportation and the improvement of quality of life in urban environments.