Cloud Computing Based Vehicle Tracking Information Systems

Cloud Computing Based Vehicle Tracking Information Systems
IJCST Vol. 2, Issue 1, March 2011
ISSN : 2229-4333(Print) | ISSN : 0976-8491(Online)
Cloud Computing Based Vehicle Tracking
Information Systems
1
1,2
Albert Alexe, 2R.Ezhilarasie
Dept. of CSE, School of Computing, SASTRA University, Thanjavur, India
Abstract
The development of satellite communication technology
is easy to identify the vehicle locations. Vehicle tracking
systems have brought this technology to the day-to-day life
of the common man. Today GPS fitted cars; ambulances,
fleets and police vehicles are common sights on the roads of
developed countries. All the existing technology can support
only tracking the vehicle place and status. No such tracking
system implemented using centralized web service and cloud
computing. The proposed technology based on GPS technology,
GSM and cloud computing infrastructure. The vehicles are
fitted with specialized embedded device, GPS device and GSM
enabled device. The embedded device fitted with “sensors”.
The sensors involve:
i.
To identify the fuel level/status.
ii.
Alcohol sensor – status of the driver.
iii.
To indentify current name of the location.
iv.
To find distance covered.
v.
To predict arrival time.
This all stimulus data are transferred to cloud server through
GSM enabled device. The GPS device used to track the vehicle
locations. All the data’s are stored in centralized server which
is maintained in cloud. Each licenced vehicle owner can access
the cloud using web portal. From the web portal the user can
retrieve all the real time data. Proposed system may allow for the
stability, equilibrium, efficient resource use, and sustainability
of a tracking system.
Keywords
GPS, GSM, sensors, cloud infrastructures, web portal.
I. Introduction
Vehicle tracking systems have brought GPS technology to the
day-to-day life of the common man. Today GPS fitted cars;
ambulances, fleets and police vehicles are common sights on
the roads of developed countries. Known by many names such as
Automatic Vehicle Locating System (AVLS), Vehicle Tracking and
Information System (VTIS), Mobile Asset Management System
(MAMS), these systems offer an effective tool for improving the
operational efficiency and utilization of vehicles. GPS is used
in vehicles for both tracking and navigation. Tracking systems
enable a base station to keep track of the vehicles without the
intervention of the driver where, as navigation system helps
the driver to reach the destination. The all existing technology
can provide only tracking the vehicle and also navigations.
The proposed technology is integration of GPS systems,
GSM, sensors. All mentioned systems are integrated together
and transfer the data to server which is maintained in cloud
infrastructures. The GPS technology integration is standard for
vehicle tracking the main advantage of proposed technology is
sensors based monitoring the vehicle activity. The GSM enabled
device used to transferred the data to server.
The sensors are involved to monitor the vital parameter of the
vehicles and drivers. Fuel monitor sensor is used to monitor the
fuel level. That is, where, when and how much fuel was filled
into the tank, and also shown remaining content of the fuel
in the tank. Terminal of vehicle tracking system receives data
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about changes of fuel level in the tank from fuel level sensor.
User of vehicle tracking system knows about the unauthorized
fuel draining almost immediately. All the fuel related data are
transferred to cloud server. The authorized user can invoke the
data and verify if any manipulation is happened or not. The
authorized use can invoke the data for regular interval. If the
fuel level is very low the sensor automatically produces the
warning signal to driver as well as owner.
Driving security of major concern in highways and the number
of accidents and fatalities that occur every year there is a
urgent need for a active denial system. Rather than opting for
a system that will react to the inebriated status of a particular
driver, we are designing a system that will be actively denying
control of a moving vehicle. We achieve this using a breath
alcohol sensor that will sense the fumes that form a part of the
breath in a person who is under the influence of alcohol. If the
device detects any up normal with driver if the driver is drunk
and drive the speed of the car will be reduced and after some
time car will be stopped. The all details are forward to cloud
server through GSM enabled device. The authorized user can
access the data real time as well as later.
The authorized user can retrieve the information about current
locations of the vehicle using web portal. The GPS and cloud
server data can access through web portal only. The vehicle
speed sensor (VSS) used to invoke the current vehicle speed
and transferred the data to cloud server. The user can retrieve
the details about the destinations. that is, how far from the
current locations and calculates the predicted arrival time using
speed of the vehicle. This information’s are access through web
portal. Each vehicle registered with server with identifications
number.
The work is organized as follows. Section 2 elaborates on
the motivation and existing system. Section 3 introduces the
related works. Section 4 presents the proposed system. Section
5 shows the result. Section 6 shows the conclusions.
II. Existing System
Fig. shows the existing system[4] of the GPS based tracking
systems. All the vehicle equipped with only GPS antenna which
is used to transfer the locations signal to GPS satellite. The GPS
satellite receives the signal and transmitting to corresponding
access point and server. The access points are connected with
GSM modem which is used to interface desktop to GPS data.
The following drawbacks are addressed in existing systems:
i.
No specific device for speed monitoring from remote
place.
ii. No specific sensor for fuel level monitoring and
controlling.
iii. The prediction of the arrival time has not been
addressed.
The existing systems are not using cloud computing infrastructure
and web portal for retrieving the data. The transmitting the data
from GPS satellite received by specific access point and directly
stored in server. So utilization of server space is high. In existing
technology user can access only location details.
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IJCST Vol. 2, Issue 1, March 2011
Fig. 1: Existing System
III. Related Works
Few related works that equipped with same solutions are
presented:
The work [1] based on both SMS and GPRS technology to
locating the vehicle. The proposed work will collect positions
of the vehicle via GPS receiver and then sends the data of
positions to specialized server by the SMS (Short Message
Services) or GPRS (General Package Radio Service) service.
The specialized server is composed of a development kit that
supports GSM techniques-WMP100 of the Wavecom company.
After processing data, the position of the mobile vehicle will
be displayed on Google Map.
The work [2] mainly consists of three steps including vehicle
region extraction, vehicle tracking, and classification. The
background subtraction method is firstly utilized to extract the
foreground regions from the highway scene. Some geometric
properties are applied to remove the false regions and
shadow removal algorithm is used for obtaining more accurate
segmentation results. After vehicle detection, a graph-based
vehicle tracking method is used for building the correspondence
between vehicles detected.
The work [3] Vehicle tracking system is one of such applications
possible by embedding wireless sensor devices on the vehicles.
The most of the state-of the-art technology uses GPS (global
positioning system) for tracking vehicles which is very expensive.
The focus of this work is vehicle tracking system is to track
the desired vehicle with low-cost, effective implementation
as in contrast to the existing high-cost tracking systems. we
present architecture for vehicle tracking system using wireless
sensor technology. The work defined the packet structure for
communication between the nodes.
Based on the above work we intent to find none of the solution
satisfy our works. So we utilize this opportunity and propose
a new technology using GPS, GSM, web portal and cloud
computing.
IV. Proposed System
The proposed system automatically gathered information using
sensors and transmitting through GSM enabled device and
GPS used to locate the current location of the vehicle. The
transmitting data are stored in server which is maintained in
cloud infrastructure. The client web portal used to access the
server data. The authorized user can access the data. The
data are stored according to the vehicle identification number.
Initially the vehicle registration is carried out. Each vehicle
owner have registered with own user name and password for
50 International Journal of Computer Science and Technology
ISSN : 2229-4333(Print) | ISSN : 0976-8491(Online)
accessing the web portal. The administrator maintained the
key list of the vehicle owner information and total number of
vehicle. The administrator only can add and delete the vehicle
identification number from server. So it’s avoid the manipulation
of accessing others vehicle data.
The proposed technology based on “sensors”. The sensors
are involved to monitor the vital parameter of the vehicles
and drivers. Fuel monitor control gives user of vehicle tracking
system to monitor where, when and how much fuel was filled into
the tank; it avoids the manipulation of fuel and, consequently,
reduces the operating costs of transport. All the information
related to fuel, fuel tank capacity, when driver filled the fuel,
remaining fuel in the tank are extracted using sensors and
transfer to cloud server through GSM enabled device. The
GSM enabled device are direct communication with access
points which is nearer to vehicles. The data are automatically
updated in server.
The alcohol breath sensor used to identify whether the driver
is drunk or not. In case the sensor detects the alcohol, the
device automatically produce the warning signal to driver
and also data are transferred to cloud server. The proposed
system will be heavily denying control of a moving vehicle. And
also, If the device detects any up normal with driver, speed of
the vehicle will be reduced and after some time car will be
stopped. The all details are forward to cloud server through
GSM enabled device. The authorized user can access the data
real time as well as later. While a breath alcohol test can be
administered a number of ways, breathalyser tests are the
most common form of breath Alcohol testing and have the
following characteristics:
The Alcohol Sensor is a small (approx 8cm long) handheld
device which shows breath alcohol level in one of three levels,
displayed on an LED display and produce warning signal. The 3
detection points are below 0.02%BAC, between 0.02%BAC and
0.05%BAC, and above 0.05%BAC (Blood Alcohol Content).
Fig. 2: Proposed System birds view
The Fig. depicts the proposed system birds view. All the vehicles
are equipped with GPS antenna and GSM enabled device. The
GSM enabled device connected with sensors for monitoring
vital parameters. The GPS antenna communicates with GPS
satellite for transferring the location details. The GPS satellite
transmits the signal to specific access point. The base stations
servers are maintained in cloud infrastructures. The sensors
are fitted with vehicle. All the sensors are interconnected
together and connected with GSM enabled device. The GSM
enabled device directly transfers the data to server using GSM
network and access point. GSM enabled device using a robust
set of techniques or protocols designed to provide fast, efficient,
reliable transfer and delivery of signalling information across
the GSM network and to support both switched voice and nonvoice applications.
The server is maintained in Cloud infrastructure. Cloud
computing is Internet-based computing, whereby shared
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IJCST Vol. 2, Issue 1, March 2011
ISSN : 2229-4333(Print) | ISSN : 0976-8491(Online)
resources, software, and information are provided to computers
and other devices on demand. The authorized user can access
the cloud information via web portal. Each user have own
username and password. So the manipulation of accessing
others data very less and the security is very high. The user
can retrieve the information real time as well as off line also.
The cloud server is using Best Fit Algorithm for storing the data.
The Best Fit Algorithm significantly reduces the storing space
and also reduces the CO2 emission. The proposed architecture
effectively utilizes the memory space.
A. Interface Design
Fig.3: sensor interface design
The Fig. depicts the proposed interface architecture of
sensor. The magnetic sensors are involved to monitor the vital
parameter of vehicle and driver details and transmitting to
signal conditioner. A signal conditioner is a device that converts
one type of electronic signal into another type of signal. Its
primary use is to convert a signal that may be difficult to read
by conventional instrumentation into a more easily read format.
The ATMEL 89c51 is used to invoke the GSM device to transmit
the data.
The GSM enabled device used to transmitting the data to
base station through GSM network. The data are stored
in cloud server. GSM enabled device used for Peer to peer
communication between two devices for exchanging register
data and also Send / receive config.d SMS messages.
Cloud computing is becoming a buzzword. It refers to a
computing system in which tasks are assigned through a
combination of connections, service and software over a
network. Cloud provides the logical and physical infrastructure
to store the data. Only the authorized person can access the
data from cloud environments. One of the advantages of cloud
computing is that both small and medium sized business can
instantly obtain the benefits of the enormous infrastructure
without having to implement and administer it directly. This also
permits accessibility to multiple data centre anywhere on the
globe. It also means that as the need for resources increases,
companies can add additional service as and when needed from
the cloud computing vendor without having to pay for additional
hardware. The Best Fit Algorithm is used to manage the memory
space very efficiently. Best Fit Algorithm automatically stored
the data according to the receiving data. The user machines are
installed with web browser and also connected with internet.
The authorized users enter the username and password in web
portal. The web browser retrieves the particular user database.
The web browser is responsible for display the information
about the vehicle.
V. Result
We tested and implemented the Alcohol detection in the
vehicles. The result was shown in Fig..The system was tested
with led’s and a steeper motor. When the alcohol was detected
the Led’s will glow and the speed control was shown with the
help of stepper motor.
Fig. 4: Proposed Architecture interface design
Fig. shown the proposed architecture interface design is
deployed with simple components connected with cloud
computing. The wireless sensor network is used to monitor
the parameters. The Zigbee protocol is used to transfer the
data from sensors. We use commercially available gateway
IN WSN 9791 for integrating sensors. The coordinator node
is used to collect all the data from sensors through gateway
and maintains queue list. The queue list despatch the data
according to the priority. The proposed technology uses priority
scheduling algorithm for dispatching the data from queue.
The functionality of the components described below:
Sensors are used to collect the vital parameter of the vehicle.
Sensors are used to extracting the information from fuel tank,
driver conditions, speed of the vehicle and predicted arrival
time. There is a specialized sensor fitted with both receiver and
transmitter for transmitting the data. The data’s are transmitted
using zigbee IEEE 802.15.4[4].
Coordinator node is used to integrate all the sensors and collect
the patient’s data. The coordinator maintains the queue for
storing the data. The queue uses priority scheduling algorithm
for dispatching the data to centralized server.
Centralized server is responsible for collecting all the data from
sensors. The sensors interface connects the sensor module
and centralized server. ARM9 processor is used for developing
the interface device.
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Fig. 5: Experimental Result
VI. Conclusion
In this paper, we propose new tracking information system
using both GSM and GPS have been discussed. The proposed
tracking system based on cloud computing infrastructure The
sensors are used to monitor the fuel level, driver conditions,
and speed of the vehicle. All the data transferred to cloud server
using GSM enabled device. All the vehicles equipped with GPS
antenna to locate the place. To avoid the drunk and drive,
the alcohol sensor are installed to monitor the driver status.
The proposed technology significantly avoids the accident in
highways.
International Journal of Computer Science and Technology 51
IJCST Vol. 2, Issue 1, March 2011
ISSN : 2229-4333(Print) | ISSN : 0976-8491(Online)
References
[1] Thuong Le-Tien, Vu Phung, "Routing and Tracking System
for Mobile Vehicles in Large Area", The Dept. of Electrical
Electronics Engineering, HCM University of Technology,
Vietnam.
[2] Jin-Cyuan Lai, Shih-Shinh Huang, Chien-Cheng Tseng,
"Image-Based Vehicle Tracking and Classification on
the Highway". Dept. of Computer and Communication
Engineering, National Kaohsiung First University of Science
and Technology.
[3] Aravind, K.G.; Chakravarty, T.; Chandra, M.G.;
Balamuralidhar, P., "On the architecture of vehicle tracking
system using wireless sensor devices", TCS Innovation
Labs., Tata Consultancy Services, Bangalore, India.
[4] "ZigBee Wireless Sensor Applications for Health, Wellness
Fitness", [Online] Available : www.zigbee.org/imwp/
download.asp?ContentID=15585.
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