Automatic Vehicle Detection for Billing Based on Vehicle in Toll Using Load Cell

SKU: PAN_EMB_080 Categories: , Tag:

Description

In this Project we will discuss RFID based Smart Toll Collection System as a solution to solve the traffic problems and also to maintain transparency of the toll collection system. Our aim is to make a digital toll collection system which will be less time consuming and automated.? The proposed RFID system uses tags that are mounted on the windshields of vehicles, through which information embedded on the tags are read by RFID readers; the proposed system eliminates the need for vehicle owners and toll authorities to manually perform ticket payments and toll fee collections, respectively. Data information are also easily exchanged between the vehicle owners and toll authorities, thereby enabling a more efficient toll collection by reducing traffic and eliminating possible human errors. In addition, in this project we will measure the weight of the vehicles using a weight sensor. Overweight transport will be blocked, they will not get access.


INTRODUCTION

Now a day?s traffic problem is a very severe problem in our country. In India, every day we have to face traffic jams for several hours which is very annoying at the same time creating a huge trouble in our daily life. Traffic jams mainly cause reckless driving and also for the rash of the vehicles in the road. For the reduction of traffic problems, the government has made many bridges, fly over and bypass roads. People have to pay a toll when they pass by any vehicle. Unfortunately, the toll collection system is manual in our country which takes many times to pass the vehicles and creates traffic jams. Here we are introducing an Electronic toll collection system using RFID technology which will be an automatic system, will not stop the vehicles as well as this system will help to reduce the traffic jam. Here, the payment will be taken from the bank account of the vehicle owner and he will receive a message from the server that the toll payment has been taken. In addition, our system will also help to solve the traffic severe crashes, which is mainly caused by over speeding as here we have used speed breakers to slow down the speed of the vehicles when the RFID tag will read the information of the vehicles.

EXISTING SYSTEM

This system is based on barcode-based vehicle identification. In this a bar-coded sticker is attached to the vehicle and read by a laser scanner when it passes through the toll plaza illustrates the working system for electronic tolling. It is the simplest as well as oldest technology. It is used in various applications such as in libraries for managing book records, shopping plazas to take an account of sale and purchase, food industry to store food details and many more.

DISADVANTAGES

  • RF tags cannot be implemented on each and every vehicle because it will be very expensive to fit a transponder on each vehicle. This is the major disadvantage of the RFID tag method that it has a major start up expense.
  • Accuracy of output is less
  • Not an automatic system in existing system
  • Old technology is used in existing system

PROPOSED SYSTEM

In order to overcome the difficulties in Existing system, a RFID based Toll booth system was introduced. RFID Reader is Presented in the Toll booth and All Vehicle drivers have Tag. Based on the weight of the vehicle it automatically differs the Rate. Once the driver swipes the tag with Reader based on its weight it automatically deducts the amount. It shows the current and available balance in your Account.

ADVANTAGES

  • Accuracy of output is increased
  • Payment process is simplified
  • No traffic jam in toll
  • Database is used

BLOCK DIAGRAM

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Automatic Vehicle Detection for Billing Based on Vehicle in Toll Using Load Cell

CIRCUIT DIAGRAM

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BLOCK DIAGRAM EXPLANATION

Raspberry pi is used as the heart of this system. RFID reader and tag, Load cell and LCD are interfaced with Raspberry pi .RFID Reader is placed on the toll booth and RFID Tag is Presented on all vehicle drivers. Load cell is interfaced via Amplification circuit to Raspberry pi. Based on the Load they can pay the amount in the Toll booth. After they Pay the amount using RF Tag their balance amount available in the account is displayed in Monitor. MYSQL database is used to get details of vehicle


HARDWARE REQUIREMENTS

  • Raspberry pi
  • RFID Reader with Tag
  • Load Cell
  • LCD 16×2

SOFTWARE REQUIREMENTS

  • Programming platform: Python IDE
  • Operating system : Raspbian Jessie
  • Programming language: Python
  • Database: MYSQL

REFERENCE

  1. 1. KhadijahKamarulazizi and DR. Wadad Ismail, ?Electronic toll collection system using passive RFID technology?, School of Electrical and Electronic, University Science Malaysia, Journal of Theoretical and Applied Information Technology, 2005-2010
  2. Ganesh K. Andurkar and Vidya R. Ramteke, ?Smart highway Electronic Toll Collection system?, International Journal of Innovative Research in Computer and Communication Engineering, Vol. 3, Issue 5, May 2015
  3. Md. Saidul Hoque, Md. Jawed Alam, Md. Akbar Hossain Patwary, A.S.M. Elias Shah, A.H.M. Javed Hossain Talukdar, Mobashera Sadia Haque and Md. Shahriar Rahman Khan, Roads and Highways Department, Dhaka-1000, Bangladesh, Masaaki Tatsumi and Prosenjit Kumar Ghosh, Oriental Consultants Global Co. Ltd., Tokyo-151-0071, Japan, ?Three 2nd bridges construction and existing bridges rehabilitation under KMG project, IABSE-JSCE Joint conference on Advances in Bridge Engineering-III, August 21-22, 2015
  4. David Levinson and Elva Chang, ?A Model for Optimizing Electronic Toll Collection Systems?, Department of Civil Engineering, University of Minnesota, Transportation Research Part A 37 (2003) 293-314, Received 6 September 1999; received in revised from 12 February 2002; accepted 19 February 2002
  5. Priyanka Sharma and Vivek Sharma ,?Electronic toll collection technologies: A state of art review? , an International Journal of Advanced Research in Computer Science and Software Engineering, Volume 4, Issue 7, July 2014, pp. 621-625

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