TY  - JOUR
PY  - 2018//
TI  - Development of a methodology for detecting intentional aggressive driving events using multi-agent driving simulations
JO  - Journal of Korean Society of Transportation
A1  - Kim, Yunjong
A1  - Oh, Cheol
A1  - Choe, Byongho
A1  - Choi, Saerona
SP  - 51
EP  - 65
VL  - 36
IS  - 1
N2  - Intentional aggressive driving (IAD) is defined as a hazardous driving event that the aggressive driver intentionally threatens neighbor drivers with abrupt longitudinal and lateral maneuvering. This study developed a methodology for detecting IAD events based on the analysis of interactions between aggressive driver and normal driver. Three major aggressive events including rear-close following, side-close driving, and sudden deceleration were analyzed to develop the algorithm. Then, driving simulation experiments were conducted using a multi-agent driving simulator to obtain data to be used for the development of the detection algorithm. In order to detect the driver's intention to attack, a relative evaluation index (Erratic Driving Index, EDI) reflecting the driving pattern was derived. The derived IAD event detection algorithm utilizes both the existing absolute detection method and the relative detection method. It is expected that the proposed methodology can be effectively used for detecting IAD events in support of in-vehicle data recorder technology in practice.     Keyword  driving pattern; driving simulation; EDI; intentional aggressive driving; multi-agent ; 공격운전; 상대적 검지기법; 주행패턴; 주행시뮬레이션<p />  <p>Language: ko</p>
LA  - ko
SN  - 1229-1366
UR  - http://dx.doi.org/10.7470/jkst.2018.36.1.051
ID  - ref1
ER  -