Using Radio Frequency Identification to Develop an Algorithm for Tracking Vehicles

Dipo T. Akomolafe *

Department of Mathematical Sciences, Ondo State University of Science and Technology, Okitipupa, Nigeria

*Author to whom correspondence should be addressed.


Abstract

One of the major problems facing law enforcement agents in developing nations is their inability to apprehend road traffic violators without physically stopping them to demand for relevant particulars. Some of these particulars when presented may either be fake, expired or genuine but there is no way the law enforcement agent can confirm the genuineness of the particulars without delaying the driver. Several methods are being used to track a moving object and access relevant information about the object but each of these methods has their pre requirements for implementation and limitations.

In road transportation, most of the methods and technologies being used are either manually operated or not fast enough to generate accurate and immediate information of vehicles that are being tracked. In this paper, relevant works were clearly reviewed to identify the requirements, shortcomings and limitations of tracking vehicles. The database of road transportation using relational database model is proposed. Examination of the practicability of applying automatic identification technology generally and Radio Frequency Identification (RFID) technology in particular to identify vehicles plying the various in road transportation is carried out. The requirements of the system were clearly stated and two algorithms; system and RFID were proposed to enable the computer and the technology communicates effectively and efficiently with each other in order to track any moving vehicle and transfer a unique identification of the vehicle to the computer for further information. The system was tested using sampled data and the result was successful.

Keywords: RFID, reader, algorithm, transportation, ITS, transponders


How to Cite

Akomolafe, Dipo T. 2016. “Using Radio Frequency Identification to Develop an Algorithm for Tracking Vehicles”. Current Journal of Applied Science and Technology 14 (5):1-10. https://doi.org/10.9734/BJAST/2016/23915.

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