吉林大学学报(工学版) ›› 2017, Vol. 47 ›› Issue (5): 1426-1435.doi: 10.13229/j.cnki.jdxbgxb201705014

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Driving anger detection based on multivariate time series features of driving behavior

WAN Ping1, 2, 3, WU Chao-zhong1, 2, LIN Ying-zi3, MA Xiao-feng1, 2   

  1. 1.Intelligent Transport Systems Research Center, Wuhan University of Technology, Wuhan 430063, China;
    2.Engineering Research Center for Transportation Safety, Ministry of Education, Wuhan 430063, China;
    3.Intelligent Human-Machine Systems Laboratory, Northeastern University, Boston 02115, USA
  • Received:2016-06-22 Online:2017-09-20 Published:2017-09-20

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Abstract: To explore effective approaches of intervention on road rage, a driving anger detection model based on driving behavior is proposed. The driving behavior data in angry and neutral states were acquired by conducting timed experiments for driving anger induction in busy traffic sections. Piecewise Linear Representation (PLR) method was used to fit multivariate time series, which consists of steering wheel angle and vehicle lateral position, and a bottom-up algorithm was implemented to separate the multivariate time series. The slope and time interval of each segment were extracted as the input features of a Support Vector Machine (SVM) model, which was used to recognize the driving anger. The validation results show that the accuracy of the proposed model with ten segments is 78.69%, which is 8.57% and 4.85% higher than that with five segments and twenty segments, respectively. This study may provide reference for the design of real driving anger detection devices based on driving behavior.

Key words: engineering of communication and transportation system, driving anger detection, multivariate time series, driving behaviors, piecewise linear representation

CLC Number: 

  • U491
[1] 吴超仲,雷虎.汽车驾驶愤怒情绪研究现状与展望[J]. 中国安全科学学报, 2010, 20(7):3-8.
Wu Chao-zhong, Lei Hu. Review on the study of motorists' driving anger[J].China Safety Science Journal, 2010, 20(7):3-8.
[2] National highway traffic safety administration (NHTSA): traffic safety facts: a compilation of motor vehicle crash data from the fatality analysis reporting system and the general estimates system. Department of Transportation[Z].
[3] 雷虎.愤怒情绪下的汽车驾驶行为特征及其对交通安全的影响研究[D].武汉:武汉理工大学智能交通系统研究中心,2011.
Lei Hu.The characteristics of angry driving behaviors and its effects on traffic safety[D]. Wuhan: Intelligent Transport Systems Research Center,Wuhan University of Technology, 2011.
[4] Dahlen E R, Martin R C, Ragan K, et al. Driving anger, sensation seeking, impulsiveness, and boredom proneness in the prediction of unsafe driving[J].Accident Analysis and Prevention, 2005, 37(2):341-348.
[5] 张迪, 万柏坤, 明东. 基于生理信号的情绪识别研究进展[J]. 生物医学工程学杂志, 2015, 32(1):229-234.
Zhang Di, Wan Bai-kun, Ming Dong.Research progress on emotion recognition based on physiologicalsignals[J]. Journal of Biomedical Engineering, 2015, 32(1):229-234.
[6] 林启万.基于情绪计算的驾驶行为研究[D]. 广州:广东工业大学机电工程学院,2014.
Lin Qi-wan.Research on driving behavior based on emotional computing[D].Guangzhou: School of Electromechanical Engineering of Guangdong University of Technology,2014.
[7] Jones C, Jonsson I. Detecting emotions in conversations between driver and in-car information systems[C]∥Proceedings of the First International Conference on Affective Computing and Intelligent Interaction, Berlin,Germany, 2005:780-787.
[8] Kessous L, Castellano G, Caridakis G. Multimodal emotion recognition in speech-based interaction using facial expression, body gesture and acoustic analysis[J]. Journal on Multimodal User Interfaces, 2010, 3(1): 33-48.
[9] Wang Jin-jun, Gong Yi-hong. Normalizing multi-subject variation for drivers' emotion recognition[C]∥IEEE International Conference on Multimedia and Expo, New York, USA, 2009:354-357.
[10] Katsis C, Goletsis Y, Rigas G,et al. A wearable system for the affective monitoring of car racing driversduring simulated conditions[J].Transportation Research Part C: Emerging Technologies,2011, 19:541-551.
[11] Liu Yi-hung, Wu Chien-te, Cheng Wei-teng, et al. Emotion recognition from single-trial EEG based on kernel fisher's emotion pattern and imbalanced quasiconformalkernel support vector machine[J].Sensors,2014, 14:13361-13388.
[12] Herrero-Fernánde D. Psychometric adaptation of the driving anger expression inventory in a Spanish sample: differences by age and gender[J]. Transportation Research Part F:Traffic Psychology and Behavior,2011 (14):324-329.
[13] 严新平,张晖,吴超仲,等. 道路交通驾驶行为研究进展及其展望[J]. 交通信息与安全, 2013, 31(1):45-51.
Yan Xin-ping, Zhang Hui, Wu Chao-zhong, et al. Research progress and prospect of road traffic driving behavior[J].Journal of Transport Information and Safety, 2013, 31(1):45-51.
[14] 廖俊,于雷, 罗寰, 等.基于趋势转折点的时间序列分段线性表示[J].计算机工程与应用, 2010, 46(30):50-53.
Liao Jun, Yu Lei, Luo Huan, et al. Time series piecewise linear representation based on trend transition point[J]. Computer Engineering and Applications, 2010, 46(30):50-53.
[15] Bankó Z, Abonyi J.Correlation based dynamic time warping of multivariatetime series[J]. Expert Systems with Applications, 2012, 39(17): 12814-12823.
[16] 徐淼,赵丁选,倪涛, 等.基于最小二乘支持向量机的混合动力挖掘机负载功率预测[J].吉林大学学报:工学版, 2015, 45(1):133-138.
Xu Miao, Zhao Ding-xuan, Ni Tao, et al. Load prediction of hybrid excavator based onleast square support vector machine[J].Journal of Jilin University(Engineering and Technology Edition), 2015, 45(1):133-138.
[17] 万平,吴超仲,林英姿,等. 基于置信规则库的驾驶人愤怒情绪识别模型[J]. 交通运输系统工程与信息, 2015,15(5):96-102.
Wan Ping, Wu Chao-zhong, Lin Ying-zi, et al. A recognition model of driving anger based on belief rule base[J]. Journal of Transportation Systems Engineering and Information Technology, 2015, 15(5):96-102.
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