An Artificial Intelligence Based Toll Collection System

Naaz, Sheenam and Parveen, Suraiya and Ahmed, Jawed (2021) An Artificial Intelligence Based Toll Collection System. In: ICIDSSD 2020, 27-28 February 2020, Jamia Hamdard, New Delhi, India.

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Abstract

Presently everyone is working for automation in every field so, to aid the tedious work AI-based toll collection uses a radio frequency identification system that works on current issues faced at toll collection system. The everyday user faces stumbling blocks while waiting in the queue at toll gates due to congestion of vehicles and using the traditional manual toll ticketing systems to collect toll from the users. For such a problem AI-based toll collection system is used where all data is electronically transmitted through a platform to the main office in real-time which helps in decreasing manpower so, for all vehicles, sufficient tags are made without requiring to stop at toll gate to save time. The RFID tag was made to replace barcodes in the supply chain as it electronically stores details of the owner’s vehicle, the account and the design of the vehicles. As the cards can be reused, they are much more convenient than the ticketing system based on paper.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: electronic toll collection radio frequency identification [rfid] toll station infrared sensor intelligent toll collection system
Subjects: T Technology > T Technology (General)
Depositing User: EAI Editor IV
Date Deposited: 06 May 2021 09:38
Last Modified: 06 May 2021 09:38
URI: https://eprints.eudl.eu/id/eprint/2926

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