Desenvolvimento de um sistema de detecção de desvio e encurtamento de rota nos transportes semicolectivos de passageiros da Cidade de Maputo

Abstract

This work presents the development of an integrated system for detecting route deviations and shortcuts in the semi-collective transport sector of Maputo city, addressing challenges in urban mobility and public transport management. The system employs advanced tech- nologies such as Arduino Mega, ESP32, and GPS, RFID, and GSM modules, combined with Internet of Things (IoT) concepts. Integration with Firebase, MySQL and the Google Maps API enables real-time vehicle tracking, ensuring greater accuracy and efficiency in management. The developed solution facilitates continuous communication between sen- sors and an intuitive web interface, allowing operators and managers to monitor routes, identify travel patterns, and intervene when necessary to correct deviations. Additionally, real-time data collection and analysis provide strategic decision-making support for local authorities, enhancing operational efficiency and passenger satisfaction. By combining hardware and software into a functional prototype, this system not only optimizes over- sight and management of public transport but also contributes to the modernization of the sector