Predictive model of alocholic intoxication based on motorcycle rider movement

• Main Authors: Del Rosario, Imanuel Luir T., Penafiel, Lorenzo Miguel C., Young, John Michael C.
• Format: text
• Language: English
• Published: Animo Repository 2015
• Subjects: Motorcycling accidents > Philippines > Metro Manila; Motorcycling injuries > Philippines > Metro Manila
• Online Access: https://animorepository.dlsu.edu.ph/etd_bachelors/8459
• Institution: De La Salle University

Riding a motorcycle under the influence may be performed by any one at any time. The number of motorcycle accidents that are related to alcohol continue to increase as time passes by. The volume of these accidents, combined with the ever-growing demand for motorcycles as one of the most popular and accessible transportation in Metro Manila, increases the dangers and hazards present on public roads for all motorist. The increasing number of road accidents that are related to riding under the influence warrants a need for solution to be implemented, in order to decrease the number of road accidents in the country. In general, there is lack of studies to motorcycle riding while under the influence of alcohol. A previous study managed to perform an experiment that included giving the participants alcoholic beverages and making the participants run through a test course, while having varying BAC levels. The said study only managed to get qualitative data from the experiment. In contrast, this study aims to determine quantifiable patterns on human-motorcycle movement at different blood alcohol concentration levels. The study also aims to gain quantitative data and to determine the patterns in that data in order to create a predictive model that could identify alcoholic intoxication based on human movement when riding a motorcycle. Afterwards, the model will be validated in order to see the accuracy of the model. The field of biomechanics and gait analysis can be applied to motorcycles in the sense that the rider can be identified as drunk or not based on the movement pattern of the motorcycle.The study was able to determine quantifiable patterns, such as peak to peak amplitude of roll, peak to peak amplitude of pitch, frequency of roll, frequency of pitch, on human-motorcycle movement at different blood alcohol concentration level based on the said field. It was found that the riders BAC level form 0.00% to 0.05% would have a significant increase on the variance of the banking angle of the motorcycle. It can also be concluded that the variance in the XYZ axis at each BAC level are within a constant range. Finally, the study was also able to formulate a predictive model, with an accuracy of 77-89%, based on the peak to peak amplitude of roll and peak to peak amplitude of pitch since the frequency of roll and pitch turned out to be insignificant predictor variables.