Full Text - IDOSI Publications

Middle-East Journal of Scientific Research 20 (9): 1078-1081, 2014
ISSN 1990-9233
© IDOSI Publications, 2014
DOI: 10.5829/idosi.mejsr.2014.20.09.114102
Smart Vehicle Guided for Trains Accident Protection
Anitha Sampathkumar
Electrical and Electronics Engineering,
Bharath University, India
Abstract: To Prevent Accidents for trains using a smart vehicle. It is necessary to have an intelligent system
which identifies the accident before it happens and informs a driver to be alert or to regulate the speed of the
vehicle. The present paper addresses the topic of fault location in railway networks. The Smart vehicle is said
to be moved in front of the train. The Smart vehicle will have sensors fixed on it. On encountering of a alert
signal from the sensors, the unit transmits the signals to the train using a wireless RF Link also providing a live
video about the status to the on coming train so that the train can the stopped before the accident.
Key words: Intelligent system
Smart vehicle
Alert signal from the sensors
INTRODUCTION
Block Diagram of System (Reciever)
The Smart vehicle is said to be moved in front of the
train [1-5]. The Smart vehicle will have sensors fixed on it.
On encountering of an alert signal from the sensors, the
unit transmits the signals to the train using a wireless RF
Link also providing a live video about the status to the
on coming train so that the trains can the stopped before
the accident area.
The smart vehicle is said to have the following
sensors and units.
Ultrasonic sensor
Vibration sensor
Infrared sensor
Stepper motor
Pic microcontroller
Block Diagram of System (Transmitter)
Modes of Operation: Microcontroller can be
compared to a small stand-alone computer; it is very
powerful device which is capable of executing a series
of preprogrammed tasks and interacting with other
hardware devices. As power supply given to the
microcontroller, its input and output pins connected to
the external devices like, ultrasonic sensor, relay, stepper
motor etc. since this project based on microcontroller
based, so when the object comes in front of train
infrared sensors comes into play and detects it and giving
the alert signal to the driver and then accident can be
prevented.
At the
receiver
section radio frequency
receiver giving the strength to signal and detected
fault will be displayed on the mini television or lcd screen
[6-10].
Corresponding Author: Anitha Sampathkumar, Electrical and Electronics Engineering, Bharath University, India.
1078
Middle-East J. Sci. Res., 20 (9): 1078-1081, 2014
Hardware Requirements:
MICROCONTROLLER.
ULTRASONIC SENSOR
RELAY
POWER SUPPLY
STEPPER MOTOR
Software Requirements:
EMBEDDED C
VISUAL STUDIO
Proposing System:
Some commercial instrumentation is also available
on the market for this purpose. Electromagnetic
relays implementing this feature can either be found.
This measurement is generally performed by using
voltage and current signals at power frequency
recorded a transmitter and receiver sections before
and after the fault.
Such a technique is typically employed in railway
lines, where the line length and the simple
network topology allow achieving good accuracy.
This method is commonly preferred when the lines
are shorter.
Stand by Current 3 Microamp
Data Input low 0 0.8 Volts
Data Input high> 0.8 Vcc Volts
Operating Frequency 433.67433.92 433.17 MHz
CONCLUSION
RESULT
The measurement of the distance between the
ultrasonic transmitter and the obstacle. The calculation is
done using a PIC 16F877 Microcontroller.
There are two outputs provided from the ultrasonic
board.
The present project addresses the topic of
fault location in Railway networks with cable
lines. The presence of fault in railway network is
found using various types of sensors, Open
circuit test, Short circuit test, Resistance test. To
demonstrate the fault in railway lines or remote trains
lines. we use ultrasonic sensor connected to the
microcontroller.
By using this project we easily detect the fault
where It is occurred and rectifyit easily.
Programing on Pic 16F877A:
include <stdio.h>
include <pic.h>
include <delay4.c>
One is the 17.05 kilohertz
Next is the signal duration
Specification:
void interrupt Int();
void Straight();
void Stop();
Voltage2.7 3 5.2 v Dc
Supply Current 5 5.5 mA
1079
Middle-East J. Sci. Res., 20 (9): 1078-1081, 2014
int Inc = 0,l=0;
int Voice,Tim;
short int Flg=0,Rrdy_Flag,Sync_Flag,Ptr;
unsigned char Rbuf;
int St,Count,Flag,OneSec,Incnt,Alarm,Altim;
MODEL KIT:
(Transmitter)
void main(){
TRISA = 0x0f;
TRISC = 0x80;
TRISD = 0x00;
TRISB = 0x00;
PORTB = 0x00;
PORTD = 0xf0;
PORTC = 0x00;
ADCON0 = 0x81;
ADCON1 = 0x86;
(Reciever)
PEIE = 1; // Enable peripheral interrupts
GIE = 1; //; Enable global interrupts
SPBRG = 25;
TXEN = 1;
SYNC = 0;
BRGH = 0;
SPEN = 1;
CREN = 1;
RCIF = 0;
RCIE = 1;
PEIE = 1; // Enable peripheral interrupts
GIE = 1; //; Enable global interrupts
T1CON = 0X00;
TMR1L = 0Xaf;
TMR1H = 0X3c;
TMR1IF = 0;
TMR1IE = 1;
TMR1ON = 1;
Straight();
St = 1;
REFERENCES
1.
2.
3.
4.
while(1){
1080
Fonseca, L.A., J.A. Uribe and Y.F. Vargas, 2012.
Obstacle Detection over Rails Using Hough
Transform, presented at the XVII Simposio De
Tratamiento De Sen~ales, Imagenes Y Vision
Artificial, Stsiva-2012, Medallion, Antioquia, COL.
Jamieson, J.R. and Y.M.D. Ray, 2002. Railway
obstacle detection system and method, U.S. Patent
App. 10/251,422.
Passarella, R., B. Tutuko and A.P.P. Prasetyo, 2011.
Design Concept of Train Obstacle Detection System
in Indonesia, IJRRAS, pp: 453-460.
Kruse, F., S. Milch and H. Rohling, 2003. Multi
Sensor System for Obstacle Detection in Train
Applications, Proc. of IEEE Tr., June, pp: 42-46.
Middle-East J. Sci. Res., 20 (9): 1078-1081, 2014
5.
6.
7.
Sugimoto, S., H. Tateda, H. Takahashi and M.
Okutomi, 2004. Obstacle detection using millimeterwave radar and its visualization on image
sequence, in Pattern Recognition, 2004. ICPR
Proceedings of the 17th International Conference on,
2004, 3: 342-345.
Garcia, J.J.D., J.U. Urena, A.A. Hernandez, M.Q.
Mazo, J.F. Vazquez and M.J. Diaz, 2008. Multisensory system for obstacle detection on railways, in
Instrumentation and Measurement Technology
ConferenceProceedings, 2008. IMTC 2008. IEEE.
Ukai, M., 2006. A New System for Detecting
Obstacles in Front of a Train, pp: 73.
8.
Ruder, M., N. Mohler and F. Ahmed, 2003. An
obstacle detection system for automated trains, in
Intelligent Vehicles Symposium, 2003. Proceedings.
IEEE, pp: 180-185.
9. Kaleli, F. and Y.S. Akgul, 2009. Vision-based railroad
track extraction using dynamic programming, in 12th
International IEEE Conference on Intelligent
Transportation Systems, 2009. ITSC '09, pp: 1-6.
10. Maire, F. and A. Bigdeli, 2010. Obstacle-free range
determination for rail track maintenance vehicles, in
2010 11th International Conference on Control
Automation Robotics and Vision (ICARCV), pp:
2172-2178.
1081

Download Report