| _version_ | 1866901233744216064 |
|---|---|
| author | Geeta |
| author_facet | Geeta |
| contents | <p>The Smart Electronic Ticket Machine (ETM) combines ticketing and GPS passenger tracking with cloud-live monitoring. It has been developed to allow for greater transparency and operational efficiency in public transportation. For this purpose we used the Raspberry Pi Pico W and interfaced it with a keypad, TFT display, GPS, and WI-FI. Data related to ticketing and passenger boarding and destination stop is stored locally, and passenger count is updated through a self-generating drop list. The system is also able to detect and map the vehicle's position using GPS. The system captures and transmits the vehicle's real-time location and updated occupancy status through a common IP platform for remote monitoring. Validation of the system was done using a moving vehicle with simulated passenger data to test the dynamic accuracy of the system, its promptness, and the responsiveness and reliability of cloud updates. The prototype revealed a cost-effective and scalable intelligence system that bridges the transportation systems gaps to support improved commuter experience and smarter mobility.</p> |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_19452994 |
| institution | Zenodo |
| language | |
| publishDate | 2024 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | Smart Electronic Ticket Machine (ETM) with GPS-based Occupancy Tracking for Public Transport Geeta <p>The Smart Electronic Ticket Machine (ETM) combines ticketing and GPS passenger tracking with cloud-live monitoring. It has been developed to allow for greater transparency and operational efficiency in public transportation. For this purpose we used the Raspberry Pi Pico W and interfaced it with a keypad, TFT display, GPS, and WI-FI. Data related to ticketing and passenger boarding and destination stop is stored locally, and passenger count is updated through a self-generating drop list. The system is also able to detect and map the vehicle's position using GPS. The system captures and transmits the vehicle's real-time location and updated occupancy status through a common IP platform for remote monitoring. Validation of the system was done using a moving vehicle with simulated passenger data to test the dynamic accuracy of the system, its promptness, and the responsiveness and reliability of cloud updates. The prototype revealed a cost-effective and scalable intelligence system that bridges the transportation systems gaps to support improved commuter experience and smarter mobility.</p> |
| title | Smart Electronic Ticket Machine (ETM) with GPS-based Occupancy Tracking for Public Transport |
| url | https://doi.org/10.5281/zenodo.19452994 |