0% found this document useful (0 votes)
11 views6 pages

Paper 49

The document discusses an IoT-based automatic toll collection and vehicle detection system that utilizes RFID technology to streamline toll payments and enhance vehicle identification, particularly for stolen or accident cases. The system includes a mobile application for account management, a toll collection unit (TCU) for processing transactions, and a central server unit (CSU) for tracking vehicle status and transactions. By automating the toll collection process, the system aims to reduce congestion and improve safety at toll plazas.

Uploaded by

vishnucoc555
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
0% found this document useful (0 votes)
11 views6 pages

Paper 49

The document discusses an IoT-based automatic toll collection and vehicle detection system that utilizes RFID technology to streamline toll payments and enhance vehicle identification, particularly for stolen or accident cases. The system includes a mobile application for account management, a toll collection unit (TCU) for processing transactions, and a central server unit (CSU) for tracking vehicle status and transactions. By automating the toll collection process, the system aims to reduce congestion and improve safety at toll plazas.

Uploaded by

vishnucoc555
Copyright
© © All Rights Reserved
We take content rights seriously. If you suspect this is your content, claim it here.
Available Formats
Download as PDF, TXT or read online on Scribd
You are on page 1/ 6

See discussions, stats, and author profiles for this publication at: https://www.researchgate.

net/publication/389546777

Avvaru Karthik Subhash, IoT Based Advanced Automatic Toll Collection and
Vehicle Detection System

Article · February 2024

CITATIONS READS

22 45

7 authors, including:

Sai S V
Chalapathi Institute of Technology
243 PUBLICATIONS 220 CITATIONS

SEE PROFILE

All content following this page was uploaded by Sai S V on 04 March 2025.

The user has requested enhancement of the downloaded file.


As per UGC guidelines an electronic bar code is provided to seure your paper

International Journal for Modern Trends in Science and Technology


Volume 10, Issue 02, pages 324-328.
ISSN: 2455-3778 online
Available online at: http://www.ijmtst.com/vol10issue02.html
DOI: https://doi.org/10.46501/IJMTST1002042

IoT Based Advanced Automatic Toll Collection and


Vehicle Detection System

Dr. D Naga RaviKiran, Gorantla Swetha, Dasari Lakshmi Annapurna, Chandu Venkatasai Teja, Avvaru Karthik
Subhash

Department of Electronics and Communications Engineering, Chalapathi Institute of Technology,Guntur, Andhra Pradesh, India

To Cite this Article


Dr. D Naga Ravi Kiran, Gorantla Swetha, Dasari Lakshmi Annapurna, Chandu Venkatasai Teja, Avvaru Karthik
Subhash, IoT Based Advanced Automatic Toll Collection and Vehicle Detection System, International Journal for
Modern Trends in Science and Technology, 2024, 10(02), pages. 324-328.https://doi.org/10.46501/IJMTST1002042

Article Info
Received: 30 January 2024; Accepted: 21 February 2024; Published: 26 February 2024.

Copyright © Dr. D Naga Ravi Kiranet al;. This is an open access article distributed under the Creative Commons
Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the
original work is properly cited.

ABSTRACT
In this project we address the problems faced at toll plaza & also introduce identification system for vehicles against which
stolen and accident cases are registered using RFID. The owner has to create an account through mobile application & register his
RFID tag. When vehicle passes through Toll Collection Unit (TCU) it is classified as passenger or goods carrying vehicle based on
its Unique Identification Number (UIN). A goods vehicle is weighed at TCU & if it is overloaded then charged with extra tax. UIN
is passed to Central Server Unit (CSU) where the balance gets deducted from account. Once the balance is deducted at CSU it will
indicate TCS to open the barricade and vehicle is allowed to pass. If vehicle is detected to be stolen at CSU it will indicate TSC
not to open the barricade. Also to overcome the problem of hit & run cases collision detection mechanism is implemented using
vibration sensor in vehicle to identify RFID of collided vehicles. When vehicle is collided IOT module activated and sends data to
server. These details can be used for further action.
Keywords: RFID Reader, GSM, RFID Tag, Arduino Uno, LCD display

1. INTRODUCTION number of hit and run cases is increasing day by day. It


In our daily life we often visit toll plaza. At toll plaza may even lead to loss of life. It is difficult to apprehend
we face the problems like congestion, wastage of time the culprit in hit and run case. It is observed that when
and fuel. To overcome the above problems, it is the vehicle is stolen it is very difficult to track the vehicle.
necessary to speed up the process at toll plaza. Hence to It is very necessary to control these above problems. So,
overcome the problems faced at toll plaza we use RFID the system also has an additional feature of detecting the
based toll collection system. The processing time require vehicles against which stolen and accident cases are
for RFID Toll Collection System is much less than registered. It is observed that overloading the vehicles
manual toll collection system. Manual toll collection may lead to accident and also damage the roads. This
system also leads to human errors which may lead to problem is also address in system by weighing goods
incorrect toll collection. We also often get to hear that the carrying vehicle and charge them with extra toll if it is

324 International Journal for Modern Trends in Science and Technology


overloaded so that they will not overload again. System receive, the IR light is called infrared sensor which sense
also makes payment system easy by making all aspects of its surroundings. In our example, the IR sensor
transaction online using mobile application. is used to detect arriving vehicles. The SE555P Timer by
Research in field of application of RFID system is Texas Instruments is used in the monostable mode.
increasing on huge scale. The main reason for such a When IR radiation is received (“no vehicle” condition)
huge appeal for RFID is low cost and low maintenance of triggering occurs, resulting in a high output. When a
RFID system. Some of the existing applications of RFID vehicle arrives at a toll plaza, the IR rays are blocked by
system are logistic and supply chain visibility, item level the vehicle, and the output of the timer to toggle to low.
inventorytracking, manufacturing, access control, The change in output of the timer is sensed by the
animal tagging, library system, real time location system, microcontroller, which is programmed to turn on the IR
etc. The RFID system is also used in toll collection system transmitter.
following systems gives detailed scenario. In the system
3.PROPOSED SYSTEM
comprises of toll collection unit, when vehicle arrives at
The proposed system consists of mainly three units
toll plaza a RFID number of tag is detected and toll
TCU, VCU and CSU. The TCU performs the work
amount is deducted from corresponding user account
tollcollection and allows valid vehicles to pass. The VCU
then the vehicle is allowed to pass. In the system
keeps check that is only valid RFID can be used for toll
comprises of toll collection unit, when vehicle arrives at
transaction. The CSU is used to keep the track of
toll plaza the RFID number of tag is extracted and
transaction and also to declare that whether vehicle is
balance is deducted from corresponding user account.
valid or invalid based on black list of vehicle store in
Once the balance is deducted the information of
data base. It is CSU which sends message to TCU that
transaction and balance left in account is sent on user
vehicle is allowed to pass or not. Once the transaction of
mobile using GSM module, so that user has a valid proof
toll payment is completed the information is send on
of transaction. In system comprises of toll collection unit
user mobile application. The mobile application is use to
and stolen vehicle detection mechanism. In this system
deposit the amount in user account through online
when vehicle arrives at toll plaza it checked whether
banking. The whole system block diagram is shown
vehicle is stolen or not. If it is found to be stolen
below (Figure 1).
information is forwarded to owner. Otherwise balance is
deducted from user account and vehicle is allowed to
pass. In the automation of toll plaza has been done based
on image processing. ANPR (Automatic Number Plate
Recognition) system has been employed for detection of
vehicle. When vehicle arrives at toll plaza a camera is
used to capture the image of number plate of vehicle.
Once the image is captured ANPR system is use to
extract the number of vehicles. When the number is
extracted a toll amount is deducted from corresponding
user account. In this system RFID is not required, but
system requires high installation cost.. Figure 1:Proposed System Block Diagram
2. EXISTING SYSTEM The detail explanation of above blocks with its
Designed a programming board to program the PIC working is as follows: -
microcontroller that consists of JTAG in SpyBi Wire 3.1 Toll Collection Unit (TCU)
mode. When the power supply is connected with fuse This unit consists of RFID reader to read unique
blow protection additionally the port pins were attached number from RFID tag attached on vehicle. Zigbee
with a single pole single thrown (SPST) switch and LED module is used for communication between CSU and
for testing the code visually [4]. The IR transmitter/LED TCU. The most important element used isArudino for
is a device that used to emit infrared light outside the synchronization and control of other elements in TCS
visible spectrum. The device that is used to detect or

325 International Journal for Modern Trends in Science and Technology


When vehicle enters the toll plaza, triggers RFID reader The VCU consist of RFID reader and RFID card. The
to read the RFID tag attached on vehicle. RFID reader vehicle doesn’t start until RFID reader detects valid
sends this RFID number to Arudino. Based on this RFID tag. If vehicle is stolen the case is registered against
Unique ID the vehicles are classified as passenger it, and vehicle is added to black list. When stolen vehicle
vehicles. Further, the RFID number and amount to be which are black listed arrives at toll plaza, CSU detects it
deducted are sent to CSU. Once CSU receives RFID and as a stolen vehicle. CSU then sends message to TCU that
amount to be deducted from TCU it checks whether any vehicle is invalid and don’t allow vehicle to pass.
stolen or collision case is registered against that RFID. It 4. RESULTS& DISCUSSION
also checks whether there is enough balance in account. In this section results and working of the proposed
If any case is registered against vehicle or if there is not system is presented. Here, when a vehicle comes, the
sufficient balance in users account, the CSU declares it as RFID reader reads the information on the tag in the
an invalid RFID. The Central Server Unit sends message vehicle. Microcontroller processes it and the transaction
to TCU that RFID is invalid, thus not to open the takes place. The details will be displayed on the LCD as
barricade for vehicle to pass. If the user doesn’t have a well as it is sent to the user’s mobile. When person enters
sufficient balance, then user is allowed to pay cash. If all the toll plaza with an invalid card, with a card having no
the above cases are false then amount is directly balance or without any card the microcontroller
deducted from account at CSU. When balance is intimates the motor to close the gate. By this way we can
deducted from user account the information about control the trespassing in the toll plaza. By introducing
account is sent to user mobile. this method, we can avoid the inconveniences
experiencing in the toll plaza and we can also have a
GSM more convenient and new generation toll plazas.

POWE
R DC
L29
SUPP M
LY Arudi 3d
O
-no T
UNO LCD O
R
RFID
READ
ER

Figure 2: Toll Gate unit

3.2 Central Server Unit (CSU)


This unit consists of Central Processing Unit (CPU)
which is used to store account information of user. GSM Figure 3: Automatic Toll Collection
module is use to send balance deducted and remaining System using RFID & GSM Technology
balance on user’s cell phone. So that user has
information of transaction done at toll plaza. Central
Proteus software is used for simulation. Here RFID
Server Unit also keeps the record of stolen vehicles and
reader connected to 0 pin of Arduino three color LED is
also vehicles against which accident cases are registered.
connected to 2, 3, 4 pin of Arduino. LCD display
Central Server Unit is also use to keep the record of
(RS,EN,D4,D5,D6,D7) connected to Arduino uno.Figure
online bank transaction of user and payment transaction
4 shows the connection diagram of the proposed
at toll plaza.
Automatic Toll Collection system using RFID & GSM
technologies.
3.3 heft Detection System

326 International Journal for Modern Trends in Science and Technology


Designed a system to give complete solution for traffic
and transport related problems such as Toll gate control,
traffic signal control, traffic rules violation control,
parking Management and special zone alert using the
latest RFID technology. It is proposed as a low cost
optimized solution using RFID and GSM mobile
technology. At the toll plaza, there will be a large LCD
screen for displaying details of the transaction.

5. CONCLUSIONS

Here we have tried to analyze some of the current


RFID and GSM technology, toll collection systems and
their practicality. All system tries to reduce the traffic
overheads at toll plaza. This system includes some of the
benefits to both toll authorities and facility users in terms
Figure 4: Connection diagram of the Proposed
of time and cost saving improved security and high
Automatic Toll Collection System
When the RFID reader reads the signal, from the Tag capacity. Today transportation is the major contributor
the respective toll amount will be deduced from the to the nation’s economy. IoT Toll Collection systems are
recharged amount, when the amount is deduced the aimed at automating the toll plazas so as to maintain
system sends the message to the users registered mobile fairness in the transactions during toll collections. Every

number about payment details. When vehicle industry has its different method of transportation to
reduce excessive costs spent on transportation. thus,
approaches near the toll plaza, the user has to
providing good quality transportation will significantly
display the RFID tag to the RFID reader, which
contribute to better economy and productivity.
reads the information from the card. The amount
will be deducted and the vehicle will be allowed to Conflict of interest statement
pass. Authors declare that they do not have any conflict of
interest.

REFERENCES
[1] Prof.NiveditaKadam,Miss.Shubhangi
Waghmare,Miss.ShradhaAdhalkar, Mr.GunwantSirsat,
Mr.NikhilPatil “A Survey on Toll Collection System Using
Different Method” International Journal for Science and Research
in Technical Education (IJSRTE) 2017.
[2] Venkatesh Suvarna “A Review on Various RFID Based
Automated Highway Toll Collection Systems” International
Journal of Computer Science and Information Technologies
(IJCSIT), Vol. 6 (3), Issue 1, pp. 2130-2133, 2015.
[3] Devyani Bajaj, NeeleshGuptha “GPS Based Automatic Vehicle
Tracking using RFID” International journal of Engineering and
Innovative Technology (IJEIT), Vol. 1, Issue 1, pp.31-35, January
2012.
[4] S. Abirami, K. Amudha, S. Lavanya, R. Deepa “Automatic Toll
E-Ticketing System using RFID and GSM Technology”
International journal of Electronics, Electrical and Computational
Figure 5: Message sent to the users System (IJEECS), Vol. 6, Issue 3, pp.201-204, March 2017.
registered [5] PurvikaBhisikar, AlpitaUmredkar, Ankitha Vidya, Sneha Samrit
“Automatic Toll Plaza using RFID” International Journal of

327 International Journal for Modern Trends in Science and Technology


Engieering Science and Computing (IJESC), Vol. 7, Issue 3, [21] Rajesh, G., Raja, A., & Thommandru, R. OPTIMIZATION OF
pp.6264-6270, 2017. MINIATURIZED MICROSTRIP PATCH ANTENNAS WITH GA.
[6] Chandrashekar V “Automatic Toll Collection and Anti Theft Alert [22] Vellela, S. S., & Balamanigandan, R. (2022, December). Design of
System using RFID and Microcontroller” International Research Hybrid Authentication Protocol for High Secure Applications in
journal of Engineering and Technology (IRJET), Vol. 4, Issue 6, Cloud Environments. In 2022 International Conference on
pp.128-131, 2017. Automation, Computing and Renewable Systems (ICACRS) (pp.
[7] Pranoti Salunke, Poonam Malle, Kirti Datir, Jayashree Dukale 408-414). IEEE.
“Automated Toll Collection System using RFID” IOSR journal of [23] Vellela, S. S., & Balamanigandan, R. (2024). Optimized clustering
Computer Engineering(IOSR-JCE), Vol. 9, Issue 2, pp.61-66, 2013. routing framework to maintain the optimal energy status in the
[8] Surya.K.Narayan,Thushar.C,Sandhya.C, wsn mobile cloud environment. Multimedia Tools and
Saranya.N,Sreepriya.P.V“Automatic Tollgate System using RFID Applications, 83(3), 7919-7938.
and GSM Technology” International Journal of Science, [24] Praveen, S. P., Sarala, P., Kumar, T. K. M., Manuri, S. G., Srinivas,
Engineering and Technology (IJSET) Vol.3, Issue 5, pp.1273-1279, V. S., & Swapna, D. (2022, November). An Adaptive Load
2015. Balancing Technique for Multi SDN Controllers. In 2022
[9] Prof.D.A.Doshi,MhaskeMayuri.S, WakchaureKalyani.S International Conference on Augmented Intelligence and
“Electronic Toll Collection System Based on RFID with GSM” Sustainable Systems (ICAISS) (pp. 1403-1409). IEEE.
International Journal of Advance Research and Innovative Ideas [25] Priya, S. S., Vellela, S. S., Reddy, V., Javvadi, S., Sk, K. B., & Roja,
in Education(IJARIIE), Vol. 2, Issue 2, pp.838-843, 2016. D. (2023, June). Design And Implementation of An Integrated IOT
[10] Vishnupriya.RDr.N.P.Ananthamoorthy “Automatic Toll Blockchain Framework for Drone Communication. In 2023 3rd
Collection System using RFID and GSM Technology” International Conference on Intelligent Technologies
International journal of Advanced Research in Computer and (CONIT) (pp. 1-5). IEEE.
Communication Engineering(IJARCCE), Vol. 6, Issue 10, [26] Vellela, S. S., & Balamanigandan, R. An intelligent sleep-awake
pp.285-290, 2017. energy management system for wireless sensor network.
[11] Preethi Rajasekaran, Ragavi Pala Janardhan “A Smarter Toll Gate Peer-to-Peer Netw. Appl.(2023).
Based on Web Of Things” IEEE, 2016. [27] Addepalli, T., Babu, K. J., Beno, A., Potti, B. M. K., Sundari, D. T.,
[12] Sagar.B.Shinde,KomalPatil, SaundaryaNakka, Lakshmi & Devana, V. K. R. (2022). Characteristic mode analysis of two
Dayanandan, Akanksha Ovhale “Toll Automation System Using port semi‐circular arc‐shaped multiple‐input‐multiple‐output
NFC” Journal of Emerging Technologies and Innovative Research antenna with high isolation for 5G sub‐6 GHz and wireless local
(JETIR), Vol. 3, Issue 1, pp.18-22, 2016. area network applications. International Journal of
[13] Prof.ChhayaAthavale,SurajShinde, AkshayRajemane, Nishant Communication Systems, 35(14), e5257.
Mohite“Raspberry Pi Based Smart Toll Collection System”, [28] Srija, V., & Krishna, P. B. M. (2015). Implementation of
International Research Journal of Engineering and Technology agricultural automation system using web & gsm
(IRJET) , Vol. 4, Issue 5, pp.3318-3321, 2017. technologies. International Journal of Research in Engineering
[14] Amol A. Chapate, D.D. Nawgaje “Electronic Toll Collection and and Technology, 04 (09), 385-389.
Theft Detection System on ARM-7 and RFID Technology”, [29] Potti, D. B., MV, D. S., & Kodati, D. S. P. (2015). Hybrid genetic
International Journal of Advanced Research in Electronics and optimization to mitigate starvation in wireless mesh
Communication Engineering (IJARECE) Vol. 4, Issue 4, networks. Hybrid Genetic Optimization to Mitigate Starvation in
pp.924-927, 2015. Wireless Mesh Networks, Indian Journal of Science and
[15] Aadish Joshi, Gaurav Bhide, Shreyas Patil, R. D.Komati “IoT Technology, 8(23).
Based Toll Booth Management System” International Journal of [30] Potti, B., Subramanyam, M. V., & Prasad, K. S. (2013). A packet
Electrical, Electronics and Computer priority approach to mitigate starvation in wireless mesh network
Systems(IJEECS),Vol.5,Issue2,pp.1163-1169, 2017. with multimedia traffic. International Journal of Computer
[16] Ravikiran, D. N., & Dethe, C. G. (2018). Improvements in Routing Applications, 62(14).
Algorithms to Enhance Lifetime of Wireless Sensor [31] Potti, B., Subramanyam, M. V., & Satya Prasad, K. (2016).
Networks. International Journal of Computer Networks & Adopting Multi-radio Channel Approach in TCP Congestion
Communications (IJCNC), 10(2), 23-32. Control Mechanisms to Mitigate Starvation in Wireless Mesh
[17] Ravikiran, D. N., & Dethe, C. G. Fuzzy Rule Selection using Networks. In Information Science and Applications (ICISA)
LEACH Algorithm to Enhance Life Time in Wireless Sensor 2016 (pp. 85-95). Springer Singapore.
Networks. Advances in Wireless and Mobile Communications.
ISSN, 0973-6972.
[18] Rajesh, G., Thommandru, R., & Subhani, S. M. DESIGN AND
IMPLEMENTATION OF 16-BIT HIGH SPEED CARRY SELECT
PARALLEL PREFIX ADDER.
[19] Polanki, K., Purimetla, N. R., Roja, D., Thommandru, R., &
Javvadi, S. Predictions of Tesla Stock Price based on Machine
Learning Model.
[20] Thommandru, R. A PROSPECTIVE FORECAST OF BRAIN
STROKE USING MACHINE LEARNING TECHNIQUES.

328 International Journal for Modern Trends in Science and Technology

View publication stats

You might also like