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http://dx.doi.org/10.7470/jkst.2018.36.1.051

Development of a Methodology for Detecting Intentional Aggressive Driving Events Using Multi-agent Driving Simulations  

KIM, Yunjong (Transportation and Logistics Engineering, Hanyang University)
OH, Cheol (Transportation and Logistics Engineering, Hanyang University)
CHOE, Byongho (Transportation Safety Research & Development Institute, Korea Transportation Safety Authority)
CHOI, Saerona (Transportation Safety Research & Development Institute, Korea Transportation Safety Authority)
KIM, Kiyong (Transportation Safety Research & Development Institute, Korea Transportation Safety Authority)
Publication Information
Journal of Korean Society of Transportation / v.36, no.1, 2018 , pp. 51-65 More about this Journal
Abstract
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.
Keywords
driving pattern; driving simulation; EDI; intentional aggressive driving; multi-agent;
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Times Cited By KSCI : 1  (Citation Analysis)
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1 American Automobile Association (2009), Aggressive Driving: Research Update, American Automobile Association Foundation for Traffic Safety, 5-6.
2 Eboli L., Mazzulla G., Pungillo G. (2016), Combining Speed and Acceleration to Define Car Users' Safe or Unsafe Driving Behaviour, Transportation Research Part C, Emerging Technologies, 68, 113-125.   DOI
3 Kim S. J., Jung C. S., Jang S. Y. (2016), A Study on Preparing Measures for Reducing Aggressive Driving and Road Rage by Analysing Mechanism of How the Driving Behavior Determinants and Dangerous Driving Behavior Factors Affect Aggressive Driving and Road Rage: Targeting Traffic Law Violator and Assaulter of a Traffic Accident, J. Korean Soc. Transp., 34(1), Korean Society of Transportation, 15-28.   DOI
4 Lim J. B., Lee S. B., Park J. T., Park J. H. (2011), A Basic Study on Road Safety Assessment through an Analysis of Drivers' Driving Characteristics, Journal of the Korean Society of Safety, 26(5), 136-140.
5 National Highway Traffic Safety Administration (2009), Aggressive Driving Enforcement, Strategies for Implementing Best Practices, 6.
6 Rim H. S., Jeong E. B., Oh C., Kang K. P. (2011), Detection of Unsafe Zigzag Driving Maneuvers Using a Gyro Sensor, The Journal of The Korea Institute of Intelligent Transport Systems, 10(2), 42-54.
7 Shin Y. G., Ryu J. B., Gang S. C. (2007), Predicting Aggressive Driver Behavior Using a Driving Simulator (RTSA-DS), J. Korean Soc. Transp., 25(3), Korean Society of Transportation, 45-54.
8 Shin Y. K., Kang S. C., Ryu J. B. (2007), Main Psychological Factors Contributing to Aggressive Driving, J. Korean Soc. Transp., 25(4), Korean Society of Transportation, 89-98.
9 Takahashi R., Kobayashi M., Sasaki T., Yokokawa Y., Momose H., Ohhashi T. (2017), Driving Simulation Test for Evaluating Hazard Perception: Elderly Driver Response Characteristics, Transportation Research Part F, Traffic Psychology and Behaviour, 49, 257-270.   DOI
10 Korea Transportation Safety Authority (2013), Establishment of Dangerous Driving Behavior Management System of eTAS - Focusing on Characteristic and Type Analysis, 14.