RFID-Based Railway Crowd Prediction and Revenue Analysis

Autor: Shraddha S. More, Monika Patil, Simran Panchal, Gulshan Pathak
Rok vydání: 2021
Předmět:
Zdroj: Data Intelligence and Cognitive Informatics ISBN: 9789811585296
DOI: 10.1007/978-981-15-8530-2_7
Popis: The railroad is the most convenient mode of transport for daily use. It is also a significant source of government revenue. Unlike the current situation, the proposed system offers paperless tickets, which are also known as near field communication (NFC) cards. It addresses the question of long lines for ticket collection due to technical problems such as the failure of printers. NFC card validation is fast, simple, and efficient for both passengers and government, as revenue generation is no longer a hindrance. If the information is verified with the data in the database, the NFC card is successfully validated. Therefore, a passenger can board a train successfully. For each station in the western and central Mumbai, this system provides a dashboard for general analysis of railway commuters. Government officials employed in government will decipher data regarding crowd prediction, peak hours, and major stations with high population density. This research may prove to be an important advancement in the aspect of railway production as it provides an analysis of crowd prediction, economy friendly paperless tickets, and chaos-free issuing of tickets by prohibiting long queues.
Databáze: OpenAIRE