Time Analytics for Mass Transit Circuit Diagram The system's data flow can be illustrated as follows: Data Acquisition: ESP32 IoT device on each bus reads GPS data. The device establishes a connection to the internet via WiFi.
Overview: The Bus Location Tracking IoT System represents a significant leap forward in enhancing the efficiency, safety, and convenience of public transportation. By integrating cutting-edge IoT technologies, including Arduino-based sensors and the ESP32 board for connectivity, this system offers real-time tracking of buses, seat availability Raghavendran et al. built a bus track system that provides a solution for tracking buses on smart phones, retrieving current occupancy and estimating occupancy at forthcoming stops to assist make smarter decisions, and managing bus flow to maintain route frequency. An IoT gadget that delivers real-time bus position tracker and occupancy real time information of bus. So we proposed a new system which solves the drawback of current public transportation system. So our system handle all the data like current location of bus, management of buses and its schedule. The real time tracking of bus can be done by our proposed system and this
Smart Bus Tracking and Management System Using IoT Circuit Diagram
Tailwind CSS: Used for designing and styling the user interface.; React: Developed the front-end interface and real-time map tracking.; Express: Built the backend server for handling API requests and managing data.; MongoDB: Used for storing and managing bus route data.; Socket.io: Enabled real-time communication between the server and clients.; Google Maps API: Integrated for displaying and
This paper developed a real-time public transport tracking and monitoring system using a GPS module. The developed system monitored the bus location, speed distance and estimated arrival time. The paper is organized as follows: In Section 2, the methodology is presented. ion 3 presents the experimental results, and the system "Real-Time Bus Tracking System Based on IoT and GPS" by R. Velu and S. Venkatesan (2019): This research paper proposes a real-time bus tracking system using IoT and GPS technologies. The study focuses on the integration of GPS modules in buses to track their locations and transmit the data to a central server. The system also includes a web-based Bus Tracking system with Python server and 2 Andoid apps for Parent and Driver. A realtime application which shows Bus Routes and Bus ETAs via LTA's API. IoT and ML to assuage the uncertainty in city bus schedules. Track live running status and avail tentative schedule of buses.
