Public Vehicle Passenger Counting System using Infrared Imaging with Data Analytics
John Michael B. Besmonte, Jherome Ivan C. Dela Cueva, José Alberto Aijón Jiménez, Danzkyle Dominic D. Valenzuela, Maria Leonora C. Guico, Jan Kevin A. Galicia · 2024
The research was dedicated to devising and implementing a comprehensive monitoring system tailored specifically for the e-jeeps operating within the confines of Ateneo de Manila University. Leveraging advanced GPS sensors, this system enabled the real-time tracking of e-jeepneys while simultaneously providing crucial insights into their speed and estimated time of arrival at various points across the campus. the research unearthed intriguing findings regarding the relationship between passenger count and environmental conditions. While a minimal correlation was observed, it was noted to be contingent upon the specific time of day, indicating potential variations in passenger behavior influenced by diurnal factors. In order to streamline data management and visualization, the researchers capitalized on the robust infrastructure provided by various Google applications and cloud services. This integration facilitated the seamless uploading and synthesis of sensorderived data, empowering the creation of a dynamically updated dashboard providing comprehensive insights into e-jeepney operations The study represents a significant milestone in the realm of transportation management, successfully culminating in the development and deployment of a sophisticated monitoring system.