Optimizing urban mobility a comprehensive public transport monitoring system
Loading...
Files
Date
2025
Journal Title
Journal ISSN
Volume Title
Publisher
NHCE
Abstract
Urban mobility is a crucial sepect of modern cities, necessitating efficient and reliabla public transport systems to cater to the growing whan population and alleviate traffic congestion This project, titled "Optimizing Urban Mobility: A Comprehensive Public Transport Monitoring System, aneks to enhance the performance and use experience of public transport services through an integrated matiring approach The system employs mal-time data collection from GPS devices installed on public transport vehicles, coupled with passenger feedback to evaluate service quality. Advanced data analytics and machine learning techniques are utilized to analyze the collected data, providing valuable insights ima delays, route efficiency, and passenger satisfaction
The system architecture compenses a robust buckend developed using Python and Flack/Django, with SQL. Line for data storage and management. Visualization tools such as 113 ja and Tableau are employed to create дупатьс, запactive dathboards that present ab time performance metrics and analytics. Thuse dashboards smable transport authorities to monitor public transport operations effectively and make data-driven decisions to optimize routes, reduce delays, and enhance overall service quality
The expected outcomes of this project include improved mate efficiency, minimized delays, and meressed passenger satisfaction, ultimately leading to a more reliable and user-friendly public transport system. Additionally, the system aims to promote sustainable urban transport by encouraging highet public transport usage, thereby reducing traffic congestiver and environmental impact. This project addresses exacting inefficiencies in public transport systems and sans the stage for future imovations in urban mobility, contributing to the development of amarter, more sustainable cities