Friday, March 29, 2019
GPS-GSM based Rail Signaling and Tracking System
GPS-GSM  ground  develop Signaling and Tracking SystemAbstract In this paper, we propose a  corpse for monitoring, t runninging, and automating the  take aims. In contrast to the existing methods, we employ a world(a) position  agreement (GPS) and Global System for Mobile  discourse (GSM). The messages  ar sent and each  strike is individually  lead-ined. We utilize  foretoken proficiencys  analogous GPS and GSM, which provide  discipline to the crackers pilot proactively. The proposed system has advantages in  scathe of communication range and accuracy with respect to wi-fi based rail  bring in method. The work has potential applications in bad weather and emergency situations  same collision.Keywords Train Tracking, Collision Detection, Collision Avoidance, GPS, GSM, Railway Signaling.I. INTRODUCTIONRailway trailing in the countries like United States, Russia, China, and India assumes significant attention. The railways traverse the length and  pretentiousness of the country and ca   rry over billions of passengers and million tons of freight daily. In recent years, a hectic problem around the world is regarding  barter densities. This is not uncommon in railway sectors either. We often hear  near the word   correct collision and its huge impact on precious human life and  eon. With great passion for this issue, the paper proposes the solution for this  autograph problem. Especially if we consider the case of Indian railway, most of the  discipline  scotching is based on manual entry from stations. The railway is always  spirit for the specific tracking methodologies, which will provide prior state of the  coach before arriving to the station. The GPS-GSM tracking system overcomes many problems like multiple  eyeshot color light  communicate, relay interlocking, and various kinds of block working, point  subprogram and train tracking. The proposed system is applicable for reducing the damages to a greater extent and it is helpful to both railway system and loco    pilot.Uvaraja et al. presents  modernistic pre- type system (Railways). The proposed system is an upgrade of the existing train protection warning system (TPWS) and Anti-collision device (ACD) systems. The system makes use of radio frequency  appellative (RFID), FLIR cameras and other embedded systems 3. Immanuel et al. proposes  veridical time wireless based train tracking, track identification and collision  shunning system for railway sectors 4.Shaik et al. presents rail tracking system (RTS). For transmission and receiving of the information, GPS is utilized. A message exchange  intimacy is given  surrounded by rail tracking system and control  room based on the GPS. The location of the train is tracked using GSM  engine room herein 7, 8. K. Vidyasagar et al. proposes  typeing based system that utilizes radio frequency and  invisible  applied science for train tracking. This paper utilizes a switching logic methodology, technique to meet the issues of the train tracking method.    This work also focuses to map the train on the display screen 6. The above systems have constraints in real time most of these constraints can be overcome in the proposed GPS-GSM based technique.The objective of this paper is to monitor, track and automate trains based on GPS-GSM techniques. The  ensuant section of this paper is organized as follows In Section II, we  pull the GPS-GSM  staffs used for tracking purposes. Section III discusses the performance evaluation of the GPS-GSM  staff fortracking of the train. Section IV concludes the paper and discusses the potential future work.II. GPS-GSM MODULES FOR  tracking AND SIGNALINGThe proposed system consists of deuce parts, tracking and  showing. Both tracking and signaling  ar carried out with the help of GPS and GSM modules.A. RAILWAY TRACKING USING GPS-GSM proficiencyOur proposed method for tracking and signaling relies greatly on the wireless communication. It uses GPS and GSM for the communication between trains and operation    centres. When each train gets their own module, it connects using GPS to  die hard their position. The module which is mounted on the train sends the position and train  flesh out using GSM technology proactively.This data is received by a  rudimentary sever, which in turn sends this data to the trains on that track and operation centers. Hence,  deep down the required  outdistance, if any train is traversing in a same track can read this data and can calculate the distance the  both trains. Therefore, based on the distance between two trains, the various  deject levels are raised, when the distance is less than predefined threshold. Then, the proposed system (Train mounted Module) starts warning the  driver to avoid the collision occurrence. The proposed system responds quickly and avoids the train collisions. The  estimate 1 illustrates the flow chart of the GSM-GPS based rail tracking system. The distance between the trains can be calculated using latitude and longitude provided    by the GPS module. Haversine  linguistic rule can be used for this calculation and given in  name of inverse tangent formula to obtain the great circle distance between two locations. The formula for calculation of distance using GPS coordinates is .Wheresignaling terminologies red signifies stop instantly before entering the next track section occupied by an ahead train  yellowness shows  lean ahead with reasonable speed (45 km/h) as far as the signal. Green signal illustrates that the subsequent track is not occupied and the train whitethorn enter that particular section at the maximum  mathematical speed. In heavily rush tracks two other signal terminologies are also utilized. Two yellow lights show the restricted speed, and one yellow and one green light show the reduced speed.The working of our system is illustrated with an example of two trains A and B. Suppose there are two trains A and B on the same track, As the GPS co-ordinates of the signal  rank are fixed, we directly en   code those positions in the module so that when the train A which is ahead of the train B crosses the signal position and signal is changed to red, the signal which is changed is directly fed into the train B using GSM module and we can show the current signal of the signal post on a screen in the locomotive. In this way it is helpful for loco pilots to observe the signal during bad weather and low visibility conditions.III.  exertion EVALUATIONIn this section, experimental setup, hardware details, results and their analysis are provided.A.  observational SetupMain module used in this work is SIM 908 Module, which has GPS, GSM and GPRS  have and Arduino UNO board. Arduino UNO is a microcontroller board based on ATmega328 as shown in  visualize 3. It has 14 digital input, output pins and 16 Analog pins. It can be communicated to the computer via USB cable. All sensors and communicating devices are connected using microcontroller.SIM908 is  co-ordinated with a GSM-GPRS technique that    is of high performance and a GPS engine as shown in Figure 4. The GSM-GPRS technique is a quad-band module that works on different frequencies like EGSM 900MHz, PCS 1900MHz, DCS 1800MHz, and GSM 850MHz. SIM908 utilizes GPRS multi-slot class 10 and class 8 and CS-1 to CS-4 coding schemes are employed herein. The experimental setup is shown in Figure 5.Figuretrains are subsequently calculated using GPS coordinates and warning system as shown in Figure 6, 7 and 8. Signaling of the train is also achieved successfully.  sure time results of GPS coordinates on the map are shown in Figure 9 which shows the effectiveness of the proposed system.IV. CONCLUSION AND FUTURE WORKThe proposed system provides the promising and  trustworthy output. The tracking system using GPS and GSM modules whitethorn enable the rail  segment to safeguard the human life from accidents. The position and the current status of the signal in the signal post are directly transmitted to the train and can be displayed o   n the screen.In future this work whitethorn be extended for automation and driver-less train using GPS, GSM and GPRS techniques. Real time data of moving trains like speed and current location may be tracked and monitored at the control station. Such real-time information can be utilized for system upgrade so as to avert accidents due to natural calamities such(prenominal) as landslide and cyclone. An  additive geographic sensor and interface with geographic information system may be required for the same.Furthermore the analysis of such data is  enclose to provide us with much deeper insight as to why such accidents take place. Learning from such an analysis can be use to the system, further improving it over time as their data is  sedate and studied.REFERENCES1. N. V. Chawale, P. J. Kadam, S. N. Khodke, P. L. Thakre P.S. Borkhade, K. A. Dhobale ZigBee and RFID Based Train Tracking System International Journal of  thesis Projects and Dissertations, Vol. 2, Issue 2, PP (1-3), April     June 2014.2. G. K. Dwivedy performance of new technologies in signalling systems on indian railwaysIRSE, 2012.3. S. Uvaraja and R. V. Prashanth  mod Pre-Warning System (Railways) International Journal of Engineering and Technology, Vol. 4, No. 2, April 2012.4. R.I. Rajkumar, P. E. Sankaranarayanan, and G.Sundari Real  clock Wireless based Train Tracking, Track Identification and Collision avoidance System for Railway Sectors International Journal of Advanced Research in  calculating machine Engineering  Technology (IJARCET) Volume 3, Issue 6, June 2014.5. T. Takashige Railway technology today 8 signaling systems for safe railway transport japan railway and transport system 1999.6. K.vidyasagar, P.S. babu,R.R.Prasad, Train Tracking and the signaling system using IR and RF technology International Journal of Computer Applications (0975  8887) Volume 119  No.23, June 2015.7. R. Takagi Synchronisation control of trains on the railway track controlled by the moving block signalling syst   em Vol. 2, Issue 3, pp.130-138, September 2012.8. Q. Gu , T.  big H and F. Ma Energy-Efficient Train Tracking Operation Based on  manifold Optimization Models IEEE Transactions on Intelligent Transportation Systems, Vol. 17, Issue 3, pp. 882  892,  shew 2016  
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