Abstract
Modern infrastructure, such as dense urban areas and underground tunnels, can effectively block all GPS signals, which implies that effective position triangulation will not be achieved. The main problem that is addressed in this project is the design and implementation of an accurate vehicle location system using radio-frequency identification (RFID) technology in combination with GPS and the Global system for Mobile communication (GSM) technology, in order to provide a solution to the limitation discussed above. In essence, autonomous vehicle tracking will be facilitated with the use of RFID technology where GPS signals are non-existent. The design of the system and the results are reflected in this paper. An extensive literature study was done on the field known as the Internet of Things, as well as various topics that covered the integration of independent technology in order to address a specific challenge. The proposed system is then designed and implemented. An RFID transponder was successfully designed and a read range of approximately 31 cm was obtained in the low frequency communication range (125 kHz to 134 kHz). The proposed system was designed, implemented, and field tested and it was found that a vehicle could be accurately located and tracked. It is also found that the antenna size of both the RFID reader unit and RFID transponder plays a critical role in the maximum communication range that can be achieved.
Highlights
The concept known as the Internet of Things (IoT) is currently experiencing rapid growth in terms of the number of applications in which this concept can be applied
An radio frequency identification (RFID) transponder was successfully designed and a read range of approximately 31 cm was obtained in the low frequency communication range (125 kHz to 134 kHz)
It is found that the antenna size of both the RFID reader unit and RFID transponder plays a critical role in the maximum communication range that can be achieved
Summary
The concept known as the Internet of Things (IoT) is currently experiencing rapid growth in terms of the number of applications in which this concept can be applied. Using the proposed system as a baseline, additional sensors such as gyroscopes or radar technology can be added to increase the number sensor inputs, which in turn increases the localization accuracy [4] This inevitably implies that autonomous driver assistance systems will receive more accurate information and this allows for better system autonomy. RFID technology can be used as an additional sensing module that is used in complex environments (dense urban areas and underground tunnels) These standalone technologies are integrated into a single system that allowed for the locating and tracking of a vehicle in normal and complex environments, based on information that was retrieved and stored by the system. The number of cash in transit robberies remained constant at a total of 145 for the 2013 to 2014 period [8], it is believed that these vehicles should always be monitored
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