A Review on Location Based Efficient Road Toll Collection System using RFID and NPRS Techniques

Author:

Kodge B.G.

Abstract

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.

Publisher

EDP Sciences

Subject

General Medicine

Reference14 articles.

1. An anonymous and unlinkable electronic toll collection system

2. Efficient Simulation-Based Toll Optimization for Large-Scale Networks

3. https://morth.nic.in/sites/default/files/Basic%20_Road_Statics_of_India.pdf

4. https://morth.nic.in/sites/default/files/MoRTH%20Annual%20Report%20for%20the%20Year%20202223%20in%20English.pdf

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3