Abstract
The prospective safety impact assessment is an important method for evaluating traffic safety effects of Advanced Driving Assistance Systems (ADAS). Different approaches are known to determine a technology’s impact on traffic safety, e.g. driving simulator studies, driving studies on the test track, Field Operational Tests and virtual simulation. For the virtual simulation, it is essential to have a detailed representation of the interactive processes between the driver, the vehicle with the system under assessment and the environment in traffic. The modeling of the driver led to the development of the Stochastic Cognitive Model (SCM) at the BMW Group that bases on stochastic processes and considers human cognitive behavior. This paper focuses on driver behavior modeling. For this purpose, the paper investigates in detail the influence of driver characteristics and personality on driver behavior in a virtual multi-agent simulation based on a driving simulator study. Therefore, correlations between driver characteristics and relevant aspects of driver behavior have been investigated and results will be reported in the present paper.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Similar content being viewed by others
References
Kompaß, K., Helmer, T., Wang, L., Kates, R.: Gesamthafte Bewertung der Sicherheitsveränderung durch FAS/HAF im Verkehrssystem: Der Beitrag von Simulation. In: Haus der Technik Fachbuch, Fahrerassistenz und Aktive Sicherheit. Wirksamkeit – Beherrschbarkeit – Absicherung, 137, Renningen (2015)
Eckstein, L., Zlocki, A.: Safety potential of ADAS – combined methods for an effective evaluation. In: 23rd International Technical Conference on the Enhanced Safety of Vehicles (ESV), Seoul, South Korea (2013)
Wachenfeld, W., Winner, H.: Virtual assessment of automation in field operation – a new runtime validation method. In: Workshop Fahrerassistenzsysteme, Walting, Germany, pp. 161–170 (2015)
Helmer, T., Wang, L., Kompaß, K., Kates, R.: Safety performance assessment of assisted and automated driving by virtual experiments: stochastic microscopic traffic simulation as knowledge synthesis. In: IEEE 18th Intelligent conference on Intelligent Transportation Systems (ITSC), Las Palmas de Gran Canaria, Spain, pp. 2019–2023 (2015)
Wang, L., Fahrenkrog, F., Vogt, T., Jung, O., Kates, R.: Prospective safety assessment of highly automated driving functions using stochastic traffic simulation. In: 25th International Technical Conference on the Enhanced Safety of Vehicles (ESV) National Highway Traffic Safety Administration, Detroit (2017)
Mai, M.: Fahrerverhaltensmodellierung für die prospektive, stochastische Wirksamkeitsbewertung von Fahrerassistenzsystemen der Aktiven Fahrzeugsicherheit, Cuvillier Verlag (2017)
Prokop G., Mai, M., Weller, G., Heyne, F.: Fahrerverhaltensmodell zur prospektiven Effektivitätsbewertung der Aktiven Sicherheit. In: 16. Technischer Kongress des VDA, Hannover (2014)
De Winter, J.C.F., De Groot, S., Mulder, M., Wieringa, P.A., Dankelman, J., Mulder, J.A.: Relationships between driving simulator performance and driving test results. Ergonomics 52(2), 137–153 (2009)
DeJoy, D.M.: An examination of gender differences in traffic accident risk perception. Accid. Anal. Prev. 24(3), 237–246 (1992)
Shinar, D., Schechtman, E., Compton, R.: Self-reports of safe driving behaviors in relationship to sex, age, education and income in the US adult driving population. Accid. Anal. Prev. 33(1), 111–116 (2001)
Laapotti, S., Keskinen, E., Hatakka, M., Katila, A.: Novice drivers’ accidents and violations — a failure on higher or lower hierarchical levels of driving behavior. Accid. Anal. Prev. 33, 759–769 (2001)
Brown, I.D., Groeger, J.A.: Risk perception and decision taking during the transition between novice and experienced driver status. Ergonomics 31(4), 585–597 (1988)
Deery, H.A., Fildes, B.N.: Young novice driver subtypes: relationship to high-risk behavior, traffic accident record, and simulator driving performance. Hum. Factors 41(4), 628–643 (1999)
McKnight, A.J., McKnight, A.S.: The behavioral contributors to highway crashes of youthful drivers. In: Proceedings of the 44th Annual Conference of the Association for the Advancement of Automotive Medicine, pp. 321–346 (2000)
Underwood, G., Chapman, P., Brocklehurst, N., Underwood, J., Crundall, D.: Visual attention while driving: sequences of eye fixations made by experienced and novice drivers. Ergonomics 46(6), 629–646 (2003)
Deffenbacher, J.L., Deffenbacher, D.M., Lynch, R.S., Richards, T.L.: Anger, aggression, and risky behavior: a comparison of high and low anger drivers. Behav. Res. Ther. 41, 701–718 (2003)
Matthews, G., Dorn, L., Hoyes, T.W., Davies, D.R., Glendon, A.I., Taylor, R.G.: Driver stress and performance on a driving simulator. Hum. Factors 40, 136–149 (1998)
Mesken, J., Hagenzieker, M.P., Rothengatter, T., DeWaard, D.: Frequency, determinants, and consequences of different drivers’ emotions: an on-the-road study using self-reports, (observed) behavior, and physiology. Transp. Res. Part F 10(6), 458–475 (2007)
Stephens, A.N., Groeger, J.A.: Situational specificity of trait influences on drivers’ evaluations and driving behavior. Transp. Res. Part F 12(1), 29–39 (2009)
Dahlen, E.R., White, R.P.: The big five factors, sensation seeking, and driving anger in the prediction of unsafe driving. Personal. Individ. Differ. 41, 903–915 (2006)
Maxwell, J.P., Grant, S., Lipkin, S.: Further validation of the propensity for angry driving scale in British drivers. Personal. Individ. Differ. 38, 213–224 (2005)
Sümer, N.: Personality and behavioral predictors of traffic accidents: testing a contextual mediated model. Accid. Anal. Prev. 35, 949–964 (2003)
Chliaoutakis, J.E., Demakakos, P., Tzamalouka, G., Bakou, V., Koumaki, M., Darviri, D.: Aggressive behavior while driving as predictor of self-reported car crashes. J. Saf. Res. 33, 431–443 (2002)
Underwood, G., Chapman, P., Wright, S., Crundall, D.: Anger while driving. Transp. Res. Part F 2, 55–68 (1999)
Jonah, B.A.: Sensation seeking and risky driving: a review and synthesis of the literature. Accid. Anal. and Prev. 29(5), 65–665 (1997)
Horvath, P., Zuckerman, M.: Sensation seeking, risk appraisal, and risky behavior. Personal. Individ. Differ. 14(1), 41–52 (1992)
Arnett, J.: Sensation seeking: a new conceptualization and a new scale. Personal. Individ. Differ. 16, 289–296 (1994)
Arnett, J.J., Offer, D., Fine, M.A.: Reckless driving in adolescence: ‘State’ and ‘trait’ factors. Accid. Anal. Prev. 29, 57–63 (1997)
Burns, P.C., Wilde, G.J.S.: Risk taking in male taxi drivers: relationships among personality, observational data and driver records. Personal. Individ. Differ. 18, 267–278 (1995)
Furnham, A., Saipe, J.: Personality correlates of convicted drivers. Personal. Individ. Differ. 14, 326–329 (1993)
Greene, K., Krcmar, M., Walters, L.H., Rubin, D.L., Hale, J.L.: Targeting adolescent risk-taking behaviors: the contribution of egocentrism and sensation-seeking. J. Adolesc. 23, 439–461 (2000)
Dahlen, E.R., Martin, R.C., Ragan, K., Kuhlman, M.M.: Driving anger, sensation seeking, impulsiveness and boredom proneness in the prediction of unsafe driving. Accid. Anal. Prev. 37, 341–348 (2005)
Roidl, E., Siebert, F.W., Oehl, M., Höger, R.: Introducing a multivariate model for predicting driving performance: the role of driving anger and personal characteristics. J. Saf. Res. 47, 47–56 (2013)
Zuckerman, M., Eysenck, S.B., Eysenck, H.J.: Sensation seeking in England and America: cross-cultural, age, and sex comparisons. J. Consult. Clin. Psychol. 46(1), 139 (1978)
Hoyle, R.H., Stephenson, M.T., Palmgreen, P., Pugzles Lorch, E., Donohew, R.L.: Reliability and validity of a brief measure of sensation seeking. Personal. Individ. Differ. 32, 401–414 (2002)
Deffenbacher, J.L.: Development of a driving anger scale. Psychol. Rep. 74, 83–91 (1994)
Villieux, A., Delhomme, P.: Driving anger scale, French adaptation: further evidence of reliability and validity. Percept. Mot. Skills 104(3), 947–957 (2007)
Beierlein, C., Kovaleva, A., Kemper, C.: Eine Single-Item-Skala zur Erfassung von Risikobereitschaft: Die Kurzskala Risikobereitschaft-1 (R-1). [A single item scale for the measurement of risk proneness: The short scale Risk Proneness-1 (R-l)] GESIS, Köln (2014)
Grimm, J.: State-Trait-Anxiety Inventory nach Spielberger. Deutsche Lang- und Kurzversion. – Methodenforum der Universität Wien: MF-Working Paper (2009)
Spielberger, C.D., Gorsuch, R.L., Lushene, R.E.: State-Trait Anxiety Inventory, Manual for the State-Trait Anxiety Inventory. Consulting Psychologist Press, Palo Alto, CA (1970)
Witt, M., Wang, L., Prokop, G., Kompaß, K.: Kognitive Fahrerverhaltensmodellierung in der virtuellen Bewertung von Fahrerassistenzsystemen unter Berücksichtigung der Ausprägungen menschlichen Fahrens. In: 8. Tagung Fahrerassistenz, München (2017)
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2019 Springer International Publishing AG, part of Springer Nature
About this paper
Cite this paper
Witt, M., Wang, L., Fahrenkrog, F., Kompaß, K., Prokop, G. (2019). Cognitive Driver Behavior Modeling: Influence of Personality and Driver Characteristics on Driver Behavior. In: Stanton, N. (eds) Advances in Human Aspects of Transportation. AHFE 2018. Advances in Intelligent Systems and Computing, vol 786. Springer, Cham. https://doi.org/10.1007/978-3-319-93885-1_69
Download citation
DOI: https://doi.org/10.1007/978-3-319-93885-1_69
Published:
Publisher Name: Springer, Cham
Print ISBN: 978-3-319-93884-4
Online ISBN: 978-3-319-93885-1
eBook Packages: EngineeringEngineering (R0)