The methodology for identifying aggressive driving using driving behavior patterns

Aggressive driving behaviors, such as reckless driving and driving for revenge (It is common called “Road Rage”), are a major factor affecting the traffic safety by threatening other drivers on the roads. An Aggressive Driver is defined as “Operates a motor vehicle in a selfish, bold or pushy manner, without regard for the rights or safety of the other users of the streets and highways” by the New York State Police. Fatal or big traffic accidents can be caused by driving behaviors of these drivers. Aggressive driving drivers, however, are very hard to control because the events occur randomly. Therefore, researches are needed to effectively manage for aggressive driving behaviors by understanding and analyzing the behaviors. Precht et al. (2017) identified the effect of driving anger on driving behavior based on naturalistic driving data. The results of their study showed that anger was related to aggressive driving behaviors, but was not related to driving error frequencies. Consequently, they mentioned the dangerous driving behaviors were significantly affected by anger. According to AAA Foundation for Traffic Safety (1997, 2016), more than 78% of U.S. drivers had driven at least one aggressive driving behavior at once in the past year. The most common aggressive behaviors were to drive tailgating another vehicle to show their anger or irritation. The majority of aggressive drivers were young male drivers between the ages of 19 and 39. Many researchers have studied the aggressive or anger driving and have warned the danger of aggressive driving. However, the methodology for managing road rage based on the driving behavior data of aggressive drivers have been studied rarely. Therefore, the objective of the present study is to develop the methodology for identifying aggressive driving behavior patterns based on driving simulator experiments that by comparing behaviors between general driving and aggressive driving