Abstract
The attractive power of driving motor vehicles results from the expansion of human mobility far beyond the natural physiological capabilities of people such as radius of action, power, speed, transport capacity, independence of timing and choosing routes, etc. Unfortunately, the enormous kinetic energy involved in the dynamic process of driving is coupled with an inherent danger of loss of control.
Both human factors and technical features of the road traffic system combined with their interactive compatibility decisively influence primary safety, i.e., accident prevention potential.
Science established a successful method of gaining and comprehensively representing knowledge by derivation of empirical models in terms of qualitative (descriptive) and particularly quantitative (mathematical) models. Such modeling approaches for human driver behavior in road traffic with scope on specific capabilities and limitations are reported on, aiming at their challenges for driver assistance systems.
As focal points of the following discussion, the predictability principle (in control systems theory terminology, this could be named “anticipatory observability criterion”), the acquisition of driving skills, and the quantification of collective and individual human driving competence will be highlighted. The gaps between intrinsic human performance limitations and physico-technical constraints of vehicle, road, and traffic-environment characteristics open up the most promising realms for the development of driver assistance systems.
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References
Anonymous (1976) Unfalldisposition und Fahrpraxis (Accident proneness and driver’s experience). Automob Z 78:129
Bahr M, Sturzbecher D (2013) Bewertungsgrundlagen zur Beurteilung der Fahrbefähigung bei der praktischen Fahrerlaubnisprüfung (Evaluation basics for judgement of driving competence in driver‘s license examination). In: Winner H, Bruder R (eds) Maßstäbe des sicheren Fahrens. Darmstädter Kolloquium „Mensch + Fahrzeug. Technische Universität Darmstadt, Ergonomia Verlag, Stuttgart
Braess HH, Donges E (2006) Technologien zur aktiven Sicherheit von Personenkraftwagen – „Konsumierbare“ oder echte Verbesserungen (Technologies for active (primary) safety – „consumable“ or true improvements)?, 2. Tagung „Aktive Sicherheit durch Fahrerassistenz“ 4.–5. April 2006 TU München, Garching bei München
Burckhardt M (1977) Fahrer, Fahrzeug, Verkehrsfluss und Verkehrssicherheit – Folgerungen aus den Bewegungsgesetzen für Fahrzeug, Straße und Fahrer (Driver, vehicle, traffic flow and safety – conclusions from vehicle-motion-dynamics laws for vehicle, road and driver. In: Interfakultative Zusammenarbeit bei der Aufklärung von Verkehrsunfällen, vol XXX. AFO, Köln
Donges E (1977) Experimentelle Untersuchung und regelungstechnische Modellierung des Lenkverhaltens von Kraftfahrern bei simulierter Straßenfahrt (Experimental investigation and control-system-theory-based modeling of driver’s steering behavior in simulated road driving). Dissertation TH Darmstadt
Donges E (1978a) Ein regelungstechnisches Zwei-Ebenen-Modell des menschlichen Lenkverhaltens im Kraftfahrzeug (A control-system-theory-based two-level model of human steering behavior in motor vehicles). Zeitschrift für Verkehrssicherheit 24:98–112
Donges E (1978b) A two-level model of driver steering behavior. Hum Factors 20(6):691–707
Donges E (1982) Aspekte der Aktiven Sicherheit bei der Führung von Personenkraftwagen (Aspects of active (primary) safety in motor-vehicle guidance). Automob Ind 27:183–190
Donges E (1992) Das Prinzip Vorhersehbarkeit als Auslegungskonzept für Maßnahmen zur Aktiven Sicherheit im Straßenverkehr (The predictability concept – an integrated approach for improving active (primary) safety in road traffic). VDI Berichte 948 (Anlage), 1. Fachtagung „Das Mensch-Maschine-System im Verkehr“ 19.-20. März 1992, Berlin
Donges E (1995) Supporting drivers by chassis control systems. In: Pauwelussen JP, Pacejka HB (eds) Smart vehicles. Swets & Zeitlinger B.V, Lisse, pp 276–296
Donges (1998) A conceptual framework for active safety in road traffic. In: Proceedings of 4th international symposium on advanced vehicle control AVEC’98, SAE of Japan, Nagoya
Enke K (1979) Possibilities for improving safety within the driver vehicle-environment control loop. ESV-Conference, Washington, pp 789–802
Fiala E (1966) Lenken von Kraftfahrzeugen als kybernetische Aufgabe (Steering of motor vehicles as a cybernetic task). Automob Z 68:156–162
Förster HJ (1987) Menschliches Verhalten, eine vergessene Ingenieur-Wissenschaft (Human behavior, a forgotten engineering science)? Abschiedsvorlesung Universität Karlsruhe, Januar 1987
Hackenberg U, Heißing B (1982) Die fahrdynamischen Leistungen des Fahrer-Fahrzeug-Systems im Straßenverkehr (Driving dynamics performance measures of driver-vehicle-system in road traffic). Automob Z 84:341–345
Johannsen G (2006) Fahrzeugführung und Assistenzsysteme (Vehicle guidance and assistance systems). In: Zimolong B, Konradt U (eds) Ingenieurpsychologie – Enzyklopädie der Psychologie. Hogrefe, Göttingen
Jürgensohn T (1997) Hybride Fahrermodelle (Hybrid driver models). Pro Universitate Verlag, Sinzheim
Kondo M (1953) Directional stability (when steering is added). J Soc Automot EngJpn (JSAE) Tokyo, Jidoshagiutsu, 7(5,6): 104–106, 109, 123, 136–140 (in Japanese, cited by (Jürgensohn 1997))
McRuer DT, Krendel ES (1962) The man-machine system concept. Proc IRE 50:1117–1123
Mitschke M, Niemann K (1974) Regelkreis Fahrer-Fahrzeug bei Störung durch schiefziehende Bremsen (Driver-vehicle control-loop under disturbance by left-right unsymmetric brake forces). Automob Z 76:67–72
Prokop G (2001) Modeling human vehicle driving by model predictive online optimization. Veh Syst Dyn 11(1):1–35
Rasmussen J (1983) Skills, rules and knowledge; signals, signs and symbols and other distinctions in human performance models. IEEE Trans Syst Man Cybern SMC 13(3):257–266
TÜV DEKRA arge tp 21 (2011) Innovationsbericht zur Optimierung der Theoretischen Fahrerlaubnisprüfung – Berichtszeitraum 2009/2010 (Innovation report for the optimization of the theoretical driving test). Dresden
Wakasugi T (2005) A study on warning timing for lane change decision and systems based on driver’s lane change maneuver. ESV-Conference, paper 05–0290
Wegscheider M, Prokop G (2005) Modellbasierte Komfortbewertung von Fahrer-Assistenzsystemen (Model-based evaluation of ease of use of driver assistance systems). VDI-Berichte Nr. 1900: 17–36
Weir DH, McRuer DT (1970) Dynamics of driver steering control. Automatica 6:87–98
Willmes-Lenz G (2003) Internationale Erfahrungen mit neuen Ansätzen zur Absenkung des Unfallrisikos junger Fahrer und Fahranfänger (International experience with new approaches for lowering the accident risk of young and novice drivers). Berichte der Bundesanstalt für Straßenwesen, Bergisch Gladbach, Heft M 144
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Donges, E. (2016). Driver Behavior Models. In: Winner, H., Hakuli, S., Lotz, F., Singer, C. (eds) Handbook of Driver Assistance Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-12352-3_2
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DOI: https://doi.org/10.1007/978-3-319-12352-3_2
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