Conference Paper

Design and Development of a Low Cost Ubiquitous Tracking System

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Abstract

In this paper, design and development of a ubiquitous tracking system is proposed, in which vehicles are tracked and controlled us-ing the prevailing cellular technologies. The system contains a GPS receiver and a GSM modem interfaced with a microcontroller. To track any vehicle, the vehicle's owner has to send an SMS to the tracking system installed inside the vehicle. Upon receiving the SMS, the microcontroller takes the current location's longitude and latitude coordinates from GPS receiver, packs it into an SMS and sends it to the owner and on a web server using GSM modem. When the web server receives the SMS containing vehicles coordinates, it will show location of the vehicle on Google Maps. For android users, the location is also displayed on an android application. In case of vehicle theft, the owner is able to turn off the main ignition switch, check status and speed of the vehicle simply by sending an SMS. The system is also equipped with a special security button for parked vehicles. By turning the button ON, the system will come in ACTIVE mode and will keep a special check on the vehicle's movement meanwhile performing the normal tasks. If the system senses any movement of vehicle during the ACTIVE mode, it will turn the main ignition OFF and will inform the owner immediately be sending 5 SMSs. Record of the vehicle's movement will be continuously managed on the web server where each owner will have vehicle's account. We have used a wide number of technologies including, but not limited to, Global Positioning System (GPS), Global System for Mobile Communication (GSM) and Microcontroller. c ⃝ 2014 The Authors. Published by Elsevier B.V. Selection and peer-review under responsibility of Elhadi M. Shakshuki.

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Machine learning techniques are applied to the task of context awareness, or inferring aspects of the user's state given a stream of inputs from sensors worn by the person. We focus on the task of indoor navigation and show that, by integrating information from accelerometers, magnetometers and temperature and light sensors, we can collect enough information to infer the user's location. However, our navigation algorithm performs very poorly, with almost a 50% error rate, if we use only the raw sensor signals. Instead, we introduce a “data cooking” module that computes appropriate high-level features from the raw sensor data. By introducing these high-level features, we are able to reduce the error rate to 2% in our example environment
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The Global Positioning System (GPS) has been widely used in land vehicle navigation applications. However, the positioning systems based on GPS alone face great problems in the so-called urban canyon environments, where the GPS signals are often blocked by high-rise buildings and there are not enough available satellite signals to estimate the positioning information of a fix. To solve the problem, a constrained method is presented by approximately modeling the path of the vehicle in the urban canyon environments as pieces of lines. By adding this constraint, the minimum number of available satellites reduces to two, which is satisfied in many urban canyon environments. Then, different approaches using the constrained method are systematically developed. In addition, a state-augmentation method is proposed to simultaneously estimate the positions of the GPS receiver and the parameters of the line. Furthermore, the interacting multiple model method is used to determine the correct path which the vehicle follows after passing an intersection of roads. Simulation results show that this approach can solve the urban canyon problems successfully.
Available at: www.sparkfun.com
  • Gps Em406-A Datasheet
  • Online
GPS EM406-A Datasheet Online Available at: www.sparkfun.com/datasheets/GPS/EM406A_User_Manual.PDF 21. GSM SIM900-D Datasheet Online available at: www.simcom.us/act_admin/supportfile/SIM900_HD_V1.01(091226).pdf 22. Microcontroller ATmega-16 Datasheet Online available at: www.atmel.com/images/2466s.pdf
P2P Multiuser Low-Cost Universal Solution for On-Demand GPS Positioning and Tracking in Large Environments
  • J I Godino-Llorente
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  • N Senz-Lechn
J. I. Godino-Llorente, F. Cruz-Roldn, M. Blanco-Velasco, R. Fraile, V. Osma-Ruiz, N. Senz-Lechn. "P2P Multiuser Low-Cost Universal Solution for On-Demand GPS Positioning and Tracking in Large Environments". IEEE TRANSACTIONS ON INTELLIGENT TRANS-PORTATION SYSTEMS, VOL. 12, NO. 4, DEC 2011.
Design, Development, and Evaluation of a Self-Powered GPS Tracking System for Vehicle Security
  • I M Tolentino
  • M R Talampas
I.M. Tolentino, M.R. Talampas, "Design, Development, and Evaluation of a Self-Powered GPS Tracking System for Vehicle Security". IEEE Sensors, 2012.