Title: Development AI traffic-safety system using RFID technique and USN theory

Authors: Man Ki Kim; You Sik Hong

Addresses: Ads & PR Department, Namseoul University, Korea ' Computer and Information Science Department, SangJi University, Korea

Abstract: The recent researches on the prevention of traffic accidents are apt to rely on IT technology as a means of reducing traffic accidents. However, it should be very difficult to find out the accident-causing vehicle once that vehicle left the scene of accident intentionally. In order to clear such a problem, the RFID tag was used in this research. Moreover, in this paper, simulation experiment to compute the optimal safety speed for the prevention of traffic accident was conducted in this research and that experiment intended to prevent such large scale traffic accident as multiple pile up on the section of heavy mist or frozen surface. In this paper, simulation experiment has confirmed that the probability of fault detection improved by 30%, compared to the existing method.

Keywords: traffic safety; RFID tags; radio frequency identification; USN; fuzzy inference systems; artificial intelligence; USN theory; ubiquitous sensor networks; traffic accidents; accident prevention; simulation; fault detection; intelligent software; mobile phones; cell phones; SMS; dangerous roads; accident causes; hazardous driving conditions; driving hazards.

DOI: 10.1504/IJICS.2014.068098

International Journal of Information and Computer Security, 2014 Vol.6 No.4, pp.322 - 332

Available online: 13 Mar 2015 *

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