Feature extraction and dynamic identification of driving intention adapting to multi-mode emotions

Accurate identification of driving intention and reasonable control of driver’s behavior is seen as an important mean to reduce man-made traffic accidents for the intelligent vehicle. However, the intention identification processes associated with driving emotion-related impact have received very little attention. With the aim of uncovering the emotional impact on driving intention identification, the car-following condition was taken as an example, and multi-source and dynamic data of human–vehicle–environment under different driving emotional states were obtained through the experiments of emotions induction, actual driving, and virtual driving in this study. The feature extraction and dynamic identification models based on rough set theory and back-propagation artificial neural network were built to recognize driving intentions. The results showed that there were some differences in driving intention identification under different emotional modes. The differences were mainly manifested in the complexity and accuracy of intention feature vectors. The rationality and validity of the intentions feature extraction and identification models were verified by the actual driving experiments, virtual driving experiments, and interactive simulation experiments. The research results can provide theoretic basis for the emotional intelligence research of advanced vehicle, driving assist systems, and unmanned vehicles.

[1]  David M. Clark,et al.  On the induction of depressed mood in the laboratory: Evaluation and comparison of the velten and musical procedures , 1983 .

[2]  Changxi Ma,et al.  Road screening and distribution route multi-objective robust optimization for hazardous materials based on neural network and genetic algorithm , 2018, PloS one.

[3]  Wei Zhang,et al.  Path optimization of taxi carpooling , 2018, PloS one.

[4]  Jianming Wang,et al.  The impact of emotions on the intention of sustainable consumption choices: evidence from a big city in an emerging country , 2016 .

[5]  L. Downey,et al.  Emotional intelligence and risky driving behaviour in adults , 2017 .

[6]  Jia Huang,et al.  An exploratory study of the influence of conversation prosody on emotion and intention identification in schizophrenia , 2009, Brain Research.

[7]  Jeanne M. Poduska,et al.  Impact of the Good Behavior Game, a universal classroom-based behavior intervention, on young adult service use for problems with emotions, behavior, or drugs or alcohol. , 2008, Drug and alcohol dependence.

[8]  J. Cellier,et al.  Emotions drive attention: Effects on driver’s behaviour , 2009 .

[9]  Changxi Ma,et al.  The Impact of Aggressive Driving Behavior on Driver-Injury Severity at Highway-Rail Grade Crossings Accidents , 2018, Journal of Advanced Transportation.

[10]  Torbjørn Rundmo,et al.  The effects of personality and gender on risky driving behaviour and accident involvement , 2006 .

[11]  Keqiang Li,et al.  Driving safety field theory modeling and its application in pre-collision warning system , 2016 .

[12]  Jinjun Tang,et al.  Trip destination prediction based on multi-day GPS data , 2019, Physica A: Statistical Mechanics and its Applications.

[13]  Xiaoyuan Wang,et al.  Extraction and Recognition Methods of Vehicle Driving Tendency Feature Based on Driver-vehicle-environment Dynamic Data under Car Following , 2011, Int. J. Comput. Intell. Syst..

[14]  Xiaofei Xie,et al.  Negative or positive? The effect of emotion and mood on risky driving , 2013 .

[15]  David Herrero-Fernández,et al.  Angry thoughts in Spanish drivers and their relationship with crash-related events. The mediation effect of aggressive and risky driving. , 2017, Accident; analysis and prevention.

[16]  Kun Li,et al.  Optimization of fiber-orientation distribution in fiber-reinforced composite injection molding by Taguchi, back propagation neural network, and genetic algorithm–particle swarm optimization , 2017 .

[17]  D. Urhahne.  Teacher behavior as a mediator of the relationship between teacher judgment and students' motivation and emotion , 2015 .

[18]  L. Ibanez,et al.  How do incidental emotions impact pro-environmental behavior? Evidence from the dictator game , 2017 .

[19]  A. Meyer,et al.  A model of disturbed eating behavior in men: The role of body dissatisfaction, emotion dysregulation and cognitive distortions , 2016, Psychiatry Research.

[20]  M. Calamia,et al.  Dimensions of driving-related emotions and behaviors: An exploratory factor analysis of common self-report measures. , 2019, Accident; analysis and prevention.

[21]  Sebastian Uhrich,et al.  Explaining non-linear customer density effects on shoppers’ emotions and behavioral intentions in a retail context: The mediating role of perceived control , 2011 .

[22]  Josef F. Krems,et al.  Effects of driving anger on driver behavior – Results from naturalistic driving data ☆ , 2017 .

[23]  Ebru Tümer Kabadayi,et al.  Revisit Intention of Consumer Electronics Retailers: Effects of Customers' Emotion, Technology Orientation and WOM Influence , 2012 .

[24]  Evan M. Kleiman,et al.  The role of emotion reactivity and gender in the relationship between psychopathology and self-injurious behavior , 2014 .

[25]  Rainer Höger,et al.  Emotional states of drivers and the impact on speed, acceleration and traffic violations - a simulator study. , 2014, Accident; analysis and prevention.

[26]  Lutz Eckstein,et al.  Optimisation of energy efficiency based on average driving behaviour and driver's preferences for automated driving , 2015 .

[27]  A. Singhal,et al.  The emotional side of cognitive distraction: Implications for road safety. , 2013, Accident; analysis and prevention.

[28]  Michael Oehl,et al.  The emotional spectrum in traffic situations: Results of two online-studies , 2013 .

[29]  V. Folkes.  Recent Attribution Research in Consumer Behavior: A Review and New Directions , 1988 .

[30]  Bo Yang,et al.  Analysis of influence on driver behaviour while using in-vehicle traffic lights with application of head-up display , 2016 .

[31]  Minglu Li,et al.  Fine-Grained Abnormal Driving Behaviors Detection and Identification with Smartphones , 2017, IEEE Transactions on Mobile Computing.

[32]  Changxi Ma,et al.  Developing a Coordinated Signal Control System for Urban Ring Road Under the Vehicle-Infrastructure Connected Environment , 2018, IEEE Access.

[33]  Yaqi Liu,et al.  Feature extraction and dynamic identification of drivers’ emotions , 2019, Transportation Research Part F: Traffic Psychology and Behaviour.

[34]  Bernd Pfitzinger,et al.  Exploring the heavy goods vehicle fleet behaviour through simulations: notes from the German toll system , 2015 .

[35]  Jianqiang Wang,et al.  Longitudinal driving behaviour on different roadway categories: an instrumented-vehicle experiment, data collection and case study in China , 2015 .

[36]  D. Abrams,et al.  Testing the prosocial effectiveness of the prototypical moral emotions: Elevation increases benevolent behaviors and outrage increases justice behaviors , 2015 .

[37]  Atìla Yüksel,et al.  Tourist shopping habitat: Effects on emotions, shopping value and behaviours , 2007 .

[38]  Maryanne Martin.  On the induction of mood , 1990 .

[39]  Kazuya Takeda,et al.  Driver-Behavior Modeling Using On-Road Driving Data: A new application for behavior signal processing , 2016, IEEE Signal Processing Magazine.

[40]  J. Abela,et al.  Responding to symptoms of depression and anxiety: emotion regulation, neuroticism, and engagement in risky behaviors. , 2007, Behaviour research and therapy.

[41]  Thomas Kessler,et al.  Guilt, anger, and pride about in-group environmental behaviour: Different emotions predict distinct intentions , 2013 .