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http://dx.doi.org/10.7236/IJIBC.2020.12.4.71

Implementation of Smart Traffic Safety Systems using Fuzzy Theory  

Han, Chang Pyoung (Dept. of Smart Automobile Engineering, Sangji University)
Hong, You Sik (School of Computer, Information and Communication Software Engineering, Sangji University)
Publication Information
International Journal of Internet, Broadcasting and Communication / v.12, no.4, 2020 , pp. 71-82 More about this Journal
Abstract
Traffic accidents due to excessive speed frequently occur in places where traffic signal controllers are installed, places where sharp curves exist, or places where the traffic signal cycle does not match the current time. These traffic accidents cause economic loss due to the destruction of road facilities and structures, and cause a big problem of increasing the number of traffic accident deaths. When a traffic accident occurs, leaving a tire mark before or after a car crash, pre-collision speed of the car is calculated using the law of conservation of momentum or the skid mark formula. In the skip skid mark generated in ABS brake vehicles and the combshaped yaw mark generated by tire trace caused by lateral sliding, there is a difference of 30-40% in the reliability of the vehicle speed calculated by the smite mark. In this paper, we propose an algorithm that can improve the calculation reliability in vehicle speed by using skid marks in order to compensate for this problem. In addition, we present an intelligent speed calculation algorithm for traffic safety and a computer simulation in order to prevent traffic accidents by estimating the speed of a vehicle, using Skid marks, Yaw marks, and ABS brake characteristics and fuzzy rules.
Keywords
ABS Brake; Yaw Mark; Traffic Accident Prevention; Skid Mark; Fuzzy Logic;
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Times Cited By KSCI : 6  (Citation Analysis)
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