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International Journal of Applied Engineering Research ISSN 0973-4562 Volume 13, Number 20 (2018) pp. 14689-14697
© Research India Publications. http://www.ripublication.com
14689
IOT based Parking System using Android and Google Maps
Yousuf Sulaiman Ali Al Waili1, Shaik Mazhar Hussain2, Kamaludin Mohamed Yusof 3,
Shaik Ashfaq Hussain 4, Rolito Asuncion5, Anilloy Frank6
1, 2, 5,6Middle East College, 2, 3, 4 University Teknologi Malaysia Muscat. Oman1, 2, 5, 6 Malaysia, Johor Bahru2, 3, 4
Abstract
The advent of IOT has alleviated major issues of people living
in rural and urban areas. It has expanded its feathers almost in
all areas of applications such as Smart Homes, Smart Farming,
Smart Supply Chain, Smart Retail, Smart Health Monitoring
Systems, Automobile Industry, Smart grid Systems and Smart
Cities. The proposed work is mainly focused on providing
solution to one of the smart city problem which is vehicle
parking Management System. The proposed work is
implemented using Arduino Mega, Ultrasonic Sensors, Wi-Fi
Module, Android and Google maps. The proposed system is
designed to track the vacant parking slots through the IOT
technology utilizing Android application and Google maps.
The Wi-Fi Module is used to send the information to the server.
The proposed work will reduce the time and exertion of looking
for empty parking slots. Finally, detailed results were presented
in this paper.
INTRODUCTION
Intelligent Transportation aims at providing benefits to the
Social, Energy and Economic. For this ITS makes use of
various kinds of Information and Communication technologies.
In recent years, various ITS projects have been carried out
focusing on traffic and road issues. One of the major functions
of ITS system is to improve Transportation system.
Some of the functions carried by Intelligent Transportation
Systems are Collecting Information, Processing the
information, integrating the Information and providing results
in real time [1] [2] [3]. ITS provides access to end users with
more coordination and intelligent operation considering any
kind of scenario such as Water, Rail, air etc.
As mentioned in [4] One of the basic ideas to build ITS is using
internet of things. In [5], IOT Intelligent transportation system
is developed to monitor different weather conditions based on
which proper precautions could be taken. Internet of things is
an agglomeration of Physical devices connected to the internet
to exchange useful Information. The term first coined by Kevin
Ashton. IOT finds its applications almost in all areas such as
Consumer applications-Smart Home, Enterprise application
such as Agriculture, Manufacturing, Energy Management,
Environmental Monitoring, Building automations and home
automations.
IOT also finds its application in medical, transportation etc.
One of the major issues that is found in daily routine is with
traffic congestion and hence vehicle parking systems. As
mentioned in [6] [7], IOT is one of the emerging technologies
which could be applied to make the cities as Smart Cities.
Various technologies have been used to resolve the problems
of transportation system.
In [8], Cloud MIMO technology is used for Smart Parking
system. This technique is based on cloud version where a
parking sensor antenna transmitter is deployed which transmits
the signals to distributed receiver antennas. In [9], a pilot
project is implemented where several cases were studied in
detail such as testing of features of parking management,
Parking space occupancies etc. In another paper [10] , a detailed
analysis is carried out in Melbourne city using Parking
guidance system. A detailed Analysis is done and an
improvement is shown with the existing systems.
In another paper [11], an effective technique is utilized to
implement smart parking system. An Anonymous smart
parking and payment scheme (ASAP) is used and showed
improved analytical results. Several technologies and
techniques have been implemented and Researchers have
contributed to the development of Smart Parking system across
the world. Due to the increase in Vehicles, Pollution and Traffic
congestion are few factors that can adversely affect the
transportation system. As mentioned in [12], Precise and
Appropriate measurements are the key factors in
Transportation system since Knowing travelling paths and
modes is crucial for the success of Transportation system.
Intelligent Transportation Conceptual model is shown in
Figure 1.
Figure 1: ITS Conceptual model [13]
International Journal of Applied Engineering Research ISSN 0973-4562 Volume 13, Number 20 (2018) pp. 14689-14697
© Research India Publications. http://www.ripublication.com
14690
Several other approaches have been adapted to analyze
intelligent transportation system. One of the approach that is
adapted to analyze intelligent transportation system (ITS) is
Simulation based approaches as mentioned in [13]. An ITS
modelling language is shown in figure 2.
Figure 2. ITS Modelling Language [13]
The paper is organized in various sections. Section II discusses
about Existing works, Section III discusses about methodology,
Section IV discusses about proposed system. Lastly,
Conclusion summarizes the research work.
EXISTING WORK
Several Research works have been studied and analyzed.
Various technologies have been recognized. Several pitfalls
were identified. A comparative analysis is done to figure out
the pros and cons of the existing works and to relate with the
proposed system. In [14] [15] [16], the smart parking system is
designed based on wireless sensor networks (WSN’s) to find
free parking places. In this work, sensor nodes have been
deployed at each parking slot. The status of the parking slot will
be communicated to web servers via deployed communication
networks and accordingly the users can know their parking
slots using mobile applications. However, the system is
implemented using a basic microcontroller. Raising few pitfalls
of sensor nodes such as high power consumption, deployment
costs, the authors in paper [17] have developed narrow band
IOT based on wide area applications. However, a pool of papers
have been already working on solving issues on Low cost, Low
Power smart parking system for smart cities [18] [19] [20]. One
of the real time project published in [21] implements the car
parking system using RFID. However, aside RFID benefits it
possess few disadvantages such as more expensive,
maintenance and complexity. In [22] , advanced system for car
parking is developed where cars are parked underground. To
achieve this, various sensors, motors and software’s have been
used. In [23] [24] , Image processing technique is used.
Counting the number of vehicles and availability of stalls. The
system works in such a way that the car images are captured by
installing the camera near parking slots and accordingly
information is given to the drivers. However, one of the
disadvantage of digital cameras is fragile storage. In [25] [26]
[27] the authors have proposed a technique for smart car
parking system using microcontroller, GSM and android
application.
PROPOSED SYSTEM
The proposed system is implemented considering the real time
issues faced in engineering colleges especially for part time
students attending evening classes. This is a crucial time since
everyone is in a hurry to back home from their jobs facing huge
traffic congestion and parking problems. Considering this, A
system is designed and developed for part time students who
can access the information about the parking slots in the college
remotely, while driving, even if they are few meters away from
the campus. Hence once they reach campus, there is no need of
wasting time for searching parking slots since remotely one can
know the free parking slot and through google and android
applications they can easily be Navigable. Hence the proposed
system ensures saving time, reduces student efforts and hence
the proposed system is user friendly. To execute this, a specific
methodology is chosen called as V-Methodology as the
proposed system is based on both Hardware and Software
Implementation.
METHODOLOGY
V-Methodology is the extended version of Water Fall
Methodology. It has got seven different phases as shown below.
Each phase is discussed in brief relates to the proposed system.
The V- Methodology is shown in figure 3.
1. Requirement Phase
2. System Design
3. Function Testing
4. Implementation
5. Validation
1. Requirement Phase: This phase includes the requirement
of the proposed work carried out such as data sheet of
hardware components and analyzing the user needs. The
requirement phase describes the requirements of hardware
but not software.
2. System Design: This phase describes the user requirement
analyzed by the designers. Any issue found in the
requirement stage would be sorted out and solved
accordingly
3. Function Testing Phase : The function testing is carried
out using simulation software and hard ware function
testing is carried out using various hardware testing
techniques
4. Implementation Phase: After ensuring function testing,
the next phase is implementing the hardware design
5. Validation: This phase consists of various testing phases
such as unit testing, integration testing, system testing and
user acceptance testing. In unit testing, each unit is tested
separately. After passing through this phase, all units are
integrated and tested. The final phase is system testing.
International Journal of Applied Engineering Research ISSN 0973-4562 Volume 13, Number 20 (2018) pp. 14689-14697
© Research India Publications. http://www.ripublication.com
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Figure 3. V-Methodology [28]
As shown in the figure 3, V-Methodology consists of several
phases that is essential for any kind of Hardware and software
based designs. The methodology starts with Requirement phase
and ends with Validation phase.
The below figure 4 shows the block diagram of proposed
system.
Figure 4. System Block Diagram
As shown in Figure 4 , Arduino Mega 2560 is used where the
other components are integrated and interfaced to arduinio
mega. Such components include GPS module which is used to
navigate the parking slots for the users. Ultrasonic sensors are
placed in the parking areas that senses the presence of vehicles
and accordingly transmits the information to the user.ESP 8266
is used to send the information to a cloud platform called
Thinkspeak where any user can access the information about
the free and occupied parking slots. Below figure 5 shows the
data flow of the proposed work.
Figure 5. Flowchart of the proposed work
International Journal of Applied Engineering Research ISSN 0973-4562 Volume 13, Number 20 (2018) pp. 14689-14697
© Research India Publications. http://www.ripublication.com
14692
As shown in figure 5, the system starts by initializing
Ultrasonic sensor, GPS module and ESP 8266. If the parking
slots are empty / occupied, the information is updated and any
user can access the updated information based on which
necessary actions could be executed. Below Figures shows the
Simulation results of the proposed work.
Figure 6. Simulation of Proposed work
Figure 7. LCD is initialized
Figure 8. LCD is displaying startup messages
International Journal of Applied Engineering Research ISSN 0973-4562 Volume 13, Number 20 (2018) pp. 14689-14697
© Research India Publications. http://www.ripublication.com
14693
Figure 9. LCD displays “Parking Empty” Message
Figure 10. LCD displays message “Parking Full”
Figure 11. LCD displays status of parking slots
International Journal of Applied Engineering Research ISSN 0973-4562 Volume 13, Number 20 (2018) pp. 14689-14697
© Research India Publications. http://www.ripublication.com
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Hardware Design and Implementation :
Figure 12. Hardware Connection 1
Figure 13. Hardware Connection 2
International Journal of Applied Engineering Research ISSN 0973-4562 Volume 13, Number 20 (2018) pp. 14689-14697
© Research India Publications. http://www.ripublication.com
14695
Figure 14. Hardware Connection 3
Figure 15. Hardware Connection 4
CONCLUSION
The proposed work is designed considering the issues of part
time students who often find difficulty for searching empty
parking slots. The designed system could be very helpful for
tracking the empty parking slots and hence saves time. To
achieve the objectives and to ensure the effectiveness of the
design, V-Methodology is adapted. The developed model also
reduces the problem of traffic congestion at parking places
since the user can know the empty parking slots using Android
application and can easily navigable through GPS and google
maps. Further, In future this design could be enhanced and
implemented in public areas and crowded places.
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International Journal of Applied Engineering Research ISSN 0973-4562 Volume 13, Number 20 (2018) pp. 14689-14697
© Research India Publications. http://www.ripublication.com
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