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1
A SMART APPROACH FOR SECURE
CONTROL OF RAILWAY
TRANSPORTATION SYSTEMS
Christo Ananth1, K.Nagarajan2, Vinod Kumar.V.3
Assistant Professor, Department of Electronics & Communication Engineering, Francis Xavier Engineering College,
Tirunelveli, India1
Assistant Professor, Department of Electronics & Communication Engineering, Nehru Institute of Engineering and
Technology, Coimbatore, India2
Assistant Professor, Department of Electronics & Communication Engineering, Nehru Institute of Engineering and
Technology, Coimbatore, India3
Abstract: A novel method for secure transportation of
railway systems has been proposed in this project. In
existing methods, most of the methods are manual resulting
in a lot of human errors. This project proposes a system
which can be controlled automatically without any outside
help. This project has a model concerning two train
sections and a gate section. The railway sections are used to
show the movement of trains and a gate section is used to
show the happenings in the railway crossings. The scope of
this project is to monitor the train sections to prevent
collisions between two trains or between humans and trains
and to avoid accidents in the railway crossings. Also an
additional approach towards effective power utilization has
been discussed. Five topics are discussed in this project : 1)
Detection of obstacles in front of the train;2) Detection of
cracks and movements in the tracks;3) Detection of human
presence inside the train and controlling the electrical
devices accordingly 4) Updating the location of train and
sharing it with other trains automatically 5) Controlling the
gate section during railway crossing. This project can be
used to avoid accidents in the railway tracks.
Keywords: PIR Sensor, UART, Ultrasonic Sensor , SMAC
Protocol, SCU.
I.INTRODUCTION
Railway train control systems are used to
protect and manage the operation of trains over the
railway infrastructure, including wayside signaling
systems and train onboard controllers with
components that communicate with each other. Train
control systems are typical safety critical systems
since they prevent collisions between trains and
ensure the safety of train operations in general.
Here we implement a train collision
avoidance system in which at the first level choose
SMAC protocol for communication which has more
coverage distance than Zigbee and is sufficient for
two or more trains to communicate with each other.
Hence here we design a system which can
be used by both trains to communicate with each
other. We design automated switching section in
trains which can be used for choosing tracks in multi
track lines. Also automated road cross safety system is
also implemented.
As the train approaches the railway crossing
area the gate section closes automatically displaying
a red light to warn passersby. Vibration sensor is
used to predict the cracks
As the train approaches the railway crossing area the
gate section closes automatically displaying a red
light to warn passersby . Vibration sensor is used to
predict the cracks and movements in the tracks.
Ultrasonic sensors are used to detect the presence of
obstacles in front of the train, causing the train to stop
when it comes near the obstacles. PIR sensor is used
to detect the presence of humans inside the train and
turns off the electrical devices when there is no
humans present utilizing power effectively.
II.
RELATED METHODS
Haifeng Wang et al. [1] proposed an
innovative topology based model for modelling
railway control systems. The method addresses the
problems of having to rely too much on designers’
experience and of incurring excessive cost of
validation and verification in the development of
railway train control systems. Four topics are
discussed in the paper: 1) the definition of basic
topological units for modelling railway networks,
based on the essential characteristics of these units;
2) the concept of a train movement authority
topological space; 3) the interpretation of the train
control logic as a topological space construct; and 4)
topological space theorems for train control system
verification. Advantages of this paper include higher
levels of integrity in the design and implementation
of such systems. The proposed model is less complex
than the traditional approach and is more precise in
terms of train control computation theorems.
International Journal of Pure and Applied Mathematics
Volume 117 No. 15 2017, 1215-1221
ISSN: 1311-8080 (printed version); ISSN: 1314-3395 (on-line version)
url: http://www.ijpam.eu
Special Issue ijpam.eu
1215
However moving block train control systems have
not been discussed in this paper. Also there is no
method to test this practically.
Thierry Lecomte et al. [2] present some recent
applications of the B formal method to
thedevelopment of safety critical systems, namely
platform screen door controllers. These SIL3/SIL41
compliant systems have their functional
specification based on a formal model. This model
has been proved, guaranteeing a correct by
construction behaviour of the system in absence of
failure of its components. The constructive process
used during system specification and design leads to
a high quality system. The methodology we have
developed appears to be efficient and well suited to
address projects requiring high level of safety and
short development time. The B formal method was
not initially considered by RATP, but is now well
accepted. The writing of some extra documents
were required to help RATP engineers to fully
understand, verify and qualify our deliverables.
Reuse of existing models for similar projects proved
to be efficient Advantages of this paper include
efficiency and well suited to address projects
requiring high level of safety and short development
time. However manual translation from B models to
the target language is error prone and requires
specific verification process. Also functional and
dysfunctional models are disjoint and also error
prone. M. Cacciola et al.[3] proposed a Finite
Element Method based approach for modelling a fast
and accurate evaluation of the defect in railways
tracks. They exploit the measure of normal
component, with respect to the scanned surface, of
magnetic field. Whilst the scientific literature
proposes a lot of solutions for detecting sub
superficial defects, an open problem is related to the
geometrical complexity of the structure and the
relevant difficulty of crack detection. The proposed
model is able to recognize deep and surface cracks
even if their orientations are vertical to the
longitudinal direction of the sensor. The modelled
system is strongly versatile and the choice of
electrical parameters affects the design of new probes
for this kind of inspection. The modelled system is
strongly versatile and the choice of electrical
parameters affects the design of new probes for this
kind of inspection. In particular, they propose a
solution exploiting a rotating electromagnetic field
with very encouraging results. The proposed model is
able to recognize deep and surface cracks even if
their orientations are vertical to the longitudinal
direction of the sensor.
Advantages of this paper include
providing a good overall accuracy in discriminating
defect presence. The same approach should find
useful applications like: Detection of third-layer
cracks, above all concerning rivets within the
framework of aging aircrafts' inspection, or micro-
crack and micro-voids detection in welding process.
However it can only detect the cracks after it has
reached a certain magnitude giving very less time.
Satoshi Takahashi et al.[4] researched a
paper for tracking people's locations in workplaces as
part of a ubiquitous network system for providing
context-aware services in daily activities using sensor
network. Since the installation of such a sensor is
desired any place within its target domain with few
limitations, it must operate by battery for a relatively
long time, e.g., one month. To satisfy this
requirement, they designed a battery operated sensor
node based on ZigBee technology and extended its
operation period by developing a flexible sleep
control protocol and a high-accuracy time
synchronization mechanism between sensor nodes to
reduce power consumption. Advantages of this paper
include sending data to and fro between trains. The
power consumption is very less when compared with
the MEMS sensor. However The range of operation
is limited by its operating conditions, suitable for in-
door monitoring. ZigBee provides routing functions,
in a cost of data loss during streaming.
III.
PROPOSED METHOD
A model-based development and verification
approach for railway train control systems and
demonstrated a framework for constructing and
verifying route-based tramway control systems.
Ultrasonic sensor is used to detect the obstacles. PIR
sensor is used to detect human presence in the train
and controls electrical devices accordingly. Vibration
sensor is used to detect the cracks and movements in
the tracks. Efficient communication takes place
between trains through SMAC protocol. IR sensor is
used to detect the presence of humans near the
railway crossings. RF transceiver is used to send the
location of trains to the gate section and the gate,
LED's are controlled accordingly.
This project is divided into 3
sections - 2 train sections and a gate section. Both
train sections can also be fit in the same train. The
train 1 section consists of ultrasonic sensor and PIR
sensor. The train 2 section consists of vibration
sensor, buzzer and RF transmitter. The gate section
consists of IR sensor and RF receiver. All the
sections consist of a power supply, LCD display and
a 5x1 switch.
A.
TRAIN 1 SECTION
The Train 1 section consists of a
Microcontroller, Ultrasonic sensor, PIR sensor, 5x1
switch, LCD display, UART, SMAC protocol, SCU
and buzzer. The Ultrasonic sensor is used to detect
any obstacles in front of the train. It alerts the Loco
pilot and stops the train if the train comes near the
International Journal of Pure and Applied Mathematics Special Issue
1216
SMAC
PROTOCOL
POWER SUPPLY
ATMEL
AT89S52
SCU
UART
LCD
DISPLAY
PIR
SENSOR
BUZZER
GREEN
RED LIGHT
ATMEL
AT89S52
RELAY
obstacle. The PIR sensor is used to detect h\the
presence of humans inside the train and control the
electrical devices accordingly. By placing these
sensors in appropriate places, power can be supplied
in areas where humans are present and not waste
energy in unpopulated areas. The switches are used to
control the sensors and power supply. The LCD
display shows the output from Ultrasonic sensor and
PIR sensor. The UART and SMAC protocol is used
to share data with other trains.Fig.1. Shows the block
diagram of Train 1 Section.
Fig.1. Block Diagram of Train 1 Section
B.TRAIN 2 SECTION
The Train 2 section consists of a
Microcontroller, Vibration sensor, RF Transmitter,
5x1 switch, LCD display, UART, SMAC protocol,
SCU and buzzer. The Vibration sensor is used to
detect if there is any cracks or movements in the
tracks and warns through the buzzer. The RF
Transmitter is used to update the location of the train
to the gate section. The rest of the devices are used
just as they are used in Train 1 section. Fig.2. shows
the block diagram of train 2 section.
B.
GATE SECTION
The Gate section consists of a Microcontroller, 2
IR sensors, RF Receiver, LED's, Relay and a DC
motor. The IR sensors are used to detect the presence
of humans in front of the railway crossings. The RF
Receiver is updated about the location of the trains.
The LED's are used to display the red and green
signal to the people. The DC motor is used to control
the gate and the Relay is used to run the motor.Fig.3.
Shows the block diagram of gate section.
Fig.2. Block Diagram of Train 2Section
Fig.3. Block Diagram of Gate Section
SMAC
PROTOCOL
ATMEL
AT89S52
POWER SUPPLY
5x1
SWITCHES
16x2 LCD
DISPLAY
UART
VIBRATION
SENSOR
RF
TRANSMITTER
SCU
BUZZER
5x1 SWITCHES
ULTRASON
IC
SENSOR
LCD
DC MOTOR
RF
IR SENSOR
IR SENSOR
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IV.
RESULTS AND DISCUSSION
A.
TRAIN 1 SECTION
Fig.4. shows the circuit for train 1 section. It
consists of an ultrasonic sensor, a PIR sensor, a
power supply, a LCD display, a 5*1 switch and a
relay. The ultrasonic sensor is used here to detect the
presence of human and controls the motor
accordingly. According to our observations, the
motor starts when the distance is between 50 to 100
cm. Any other distance will not make the motor
run.Fig.5. Shows the image of ultrasonic sensor.
Fig.4. Image of Train 1 Section
TABLE I
READINGS OF ULTRASONIC SENSOR
S.No
Distance from the
sensor
Condition of the
motor w.r.t distance
from ultrasonic
sensor
1
20
NOT RUNNING
2
40
NOT RUNNING
3
60
RUNNING
4
80
RUNNING
5
120
NOT RUNNING
Fig.6. Image of PIR Sensor
Fig.6. shows the image of PIR
Sensor. PIR sensor is used here to detect the presence
of human and displays whether the electrical devices
are ON or OFF in the LCD display.
According to our observations, the PIR
sensor immediately detects the presence of human as
soon as the power supply is on and displays the ON
in the LCD display. As most of the times a human is
standing nearby, the PIR sensor shows ON for most
of the time.
Fig.5. Image of Ultrasonic Sensor
The ultrasonic sensor can detect the
presence of obstacles at a distance between 50-100
cm. As it detects an obstacle the motor starts running.
The PIR sensor detects the presence of humans and
displays whether the light is ON in the LCD display.
International Journal of Pure and Applied Mathematics Special Issue
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The 5*1 switch is used to control the sensor. The
power supply is used to run the motor.
B.
TRAIN 2 SECTION
Fig.7. Image of Train 2 Section
Fig.7. shows the setup for Train 2 section.
This section consists of a vibration sensor, a RF
transmitter, a LCD display, a 5X1 switch, a relay, a
buzzer.
Fig.8.Image of Vibration Sensor
Fig.8. shows the image of
Vibration sensor. The vibration sensor is used to
detect the cracks and movements in the railway
tracks preventing any accidents which happen due to
faulty tracks. According to our observations, a slight
vibration caused manually around the surroundings
of the sensor can be detected. As this vibration is
detected the buzzer goes on indicating a slight
movement.
stop. The vibration sensor detects the cracks and
movements in the tracks. It gives a warning via the
buzzer if there is any pressure on it. The RF
transmitter is used to send the location of a train to
another train or gate. This avoids any collisions
between trains if they move in the same track.
C.
GATE SECTION
Fig.9. shows the output result of gate section.
The gate section consists of a RF receiver, 2 IR
sensors, a red and green light, a LCD display, and a
relay. The RF receiver is used to receive the
information sent by the trains containing their
locations and it controls the gate accordingly. The IR
sensor is used to detect the presence of humans near
the gate and controls the light accordingly.Fig.10.
shows the image of PIR sensor.
The RF receiver gets the location of the trains
and if the train comes near the railway crossing the
gate closes automatically. The IR sensor detects the
presence of human near the gate and shows the red
light warning the passersby.
Fig.9. Image of Gate Section
The RF transmitter is used to send
the data between the trains telling about its location
to others. Here the train 1 sends the information to
train 2 and if they are in the same track then the trains
Fig.10.Image of PIR sensor
International Journal of Pure and Applied Mathematics Special Issue
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For the reason of showing two
trains we have fixed these sensors in two different
trains. We can connect all these sensors in a single
train. The UART and SMAC protocol is used to
share the locations of the trains between them
avoiding accidents if there are trains in the same
track. The SCU is used to change the analog signals
into digital signals. Mainly the Ultrasonic sensor
produces analog signals which is converted to digital
for further purposes.
V.
CONCLUSION
The method proposed in this paper is a
topology-based technique for the specification,
development, and verification of safety critical train
control systems. The application of this methodology
will contribute to achieving ever higher levels of
integrity in the design and implementation of such
systems. This method will avoid all the human errors
resulting in the decrease of accidents happening in
the tracks. There is no need for a central hub due to
direct communication between trains. Also there is
no need of stationing manual help to constantly
review the tracks. The loco-pilots can concentrate
more on the driving aspect than constantly looking
for dangers. Power is utilized effectively.
In the future, the number of devices used
can be lowered so that less power is utilized. Also a
much more effective wireless transceiver can be used
to increase bandwidth.
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