Issue |
E3S Web Conf.
Volume 453, 2023
International Conference on Sustainable Development Goals (ICSDG 2023)
|
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Article Number | 01003 | |
Number of page(s) | 6 | |
DOI | https://doi.org/10.1051/e3sconf/202345301003 | |
Published online | 30 November 2023 |
A Review on Location Based Efficient Road Toll Collection System using RFID and NPRS Techniques
School of Science, GITAM University, Hyderabad, Telangana, India
* Corresponding author: kodgebg@gmail.com
The road traffic controlling and road toll collections are became one of the challenging tasks in most of the developing and developed countries. The tollgate systems doesn’t account and verify from which particular place (source) the vehicle is started or joined that concern toll road and up to which particular point (destination) it reached/left/disjoined/used the road. If a toll road is of 60 KM length and a vehicle X started 05 KM away from its tollgate and another same category vehicle Y starts from 60 KM away will have to pay same charges. These existing systems are unable to tell which vehicles are using how much road services and accordingly how much should they pay for it. Therefore, specifically in Indian state highways are concern, road toll collection systems are not efficient and not justifying with the road pricing practices with vehicle owners. Due to these, most of the vehicle owners and passengers are facing numerous types of problems while travelling from one place to another place by road. To solve these issues, I tried to propose an efficient location based road toll collection system using RFID (Radio Frequency Identification) and NPRS (Number Plate Recognition System) techniques in this paper. The proposed model will help to collect toll charges efficiently from all vehicle owners as per their road usage.
Key words: RFID (Radio Frequency Identification) / NPRS (Number Plate Recognition System) / GPS (Global Positioning System) / ETC (Electronic Toll Collection)
© The Authors, published by EDP Sciences, 2023
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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