Implementation of Cognitive Driver Models in Microscopic Traffic Simulations

In order to perform microscopic traffic simulations as realistically as possible, a detailed modelling of each individual driver is essential. Currently established microscopic traffic simulators follow a rather static approach to model the driver's behaviour. Individual emotional influences and temporarily occurring distracting factors are heavy to implement in the established state-of-the-art microscopic traffic simulators. This paper proposes a solution how emotional influences and distracting factors can be integrated in established traffic simulation tools. For this purpose, robot-learning approaches are adapted to model the emotional state of vehicle drivers. In the end of this work, a proof of concept is done to illustrate the strength of the developed approach.

[1]  J. Lerner,et al.  Portrait of The Angry Decision Maker: How Appraisal Tendencies Shape Anger's Influence on Cognition. , 2006 .

[2]  Stefan Krauss,et al.  MICROSCOPIC MODELING OF TRAFFIC FLOW: INVESTIGATION OF COLLISION FREE VEHICLE DYNAMICS. , 1998 .

[3]  Mark J.M. Sullman.  Advances in Traffic Psychology , 2012 .

[4]  John A. Michon,et al.  A critical view of driver behavior models: What do we know , 1985 .

[5]  Martin Treiber,et al.  Verkehrsdynamik und -simulation - Daten, Modelle und Anwendungen der Verkehrsflussdynamik , 2010 .

[6]  Björn Schünemann,et al.  V2X simulation runtime infrastructure VSimRTI: An assessment tool to design smart traffic management systems , 2011, Comput. Networks.

[7]  D. Shinar.  Traffic Safety and Human Behavior , 2007 .

[8]  Jolieke Mesken,et al.  Determinants and consequences of drivers' emotions , 2006 .

[9]  Angelos Amditis,et al.  DRIVABILITY: a new concept for modelling driving performance , 2003, Cognition, Technology & Work.

[10]  Daniel Krajzewicz.  SUMO in Scientific Literature, 2002-2012 , 2014, SUMO.

[11]  L. Abramson,et al.  Judgment of contingency in depressed and nondepressed students: sadder but wiser? , 1979 .

[12]  M Winninghoff,et al.  Die Reaktionszeitverlaengerung bei Dunkelheit unter Alkohol- und Blendungseinfluessen - Ergebnisse aus Laborversuchen , 2001 .

[13]  Feng Guo,et al.  Driver crash risk factors and prevalence evaluation using naturalistic driving data , 2016, Proceedings of the National Academy of Sciences.

[14]  H. Schaub.  Wahrnehmung, Aufmerksamkeit und „Situation Awareness“ (SA) , 2012 .

[15]  Robert Fröming,et al.  Analyse des Fahrerverhaltens zur Darstellung adaptiver Eingriffs-strategien von Assistenzsystemen , 2008 .

[16]  Björn Peters,et al.  The ITERATE Project—Overview, Theoretical Framework and Validation , 2011 .

[17]  Andrea Uhr,et al.  Aggression und Emotionen im Strassenverkehr , 2014 .

[18]  Michael J. Pont,et al.  Safety and Reliability of Distributed Embedded Systems Technical Report ESL 04-02 Simulation of Motorway Traffic Flows , 2004 .

[19]  M. Praxenthaler,et al.  Experimentelle Untersuchung zur Ablenkungswirkung von Sekundäraufgaben während zeitkritischer Fahrsituationen , 2003 .

[20]  Naohiro Yuhara,et al.  Multi-driver agent-based traffic simulation systems for evaluating the effects of advanced driver assistance systems on road traffic accidents , 2006, Cognition, Technology & Work.

[21]  P. Cochat,et al.  Et al , 2008, Archives de pediatrie : organe officiel de la Societe francaise de pediatrie.

[22]  Peter T. Martin,et al.  An Investigation of Driver Distraction Near the Tipping Point of Traffic Flow Stability , 2009, Hum. Factors.

[23]  Vom Fachbereich.  Entwicklung lichttechnischer Kriterien zur Blendungsminimierung von adaptiven Fernlichtsystemen , 2012 .

[24]  Forrest,et al.  Emotion-triggered Learning for Autonomous RobotsSandra , 1998 .

[25]  P. Ekman.  An argument for basic emotions , 1992 .

[26]  L. Abramson,et al.  Judgment of contingency in depressed and nondepressed students: sadder but wiser? , 1979, Journal of experimental psychology. General.

[27]  Hermann Winner,et al.  Handbuch Fahrerassistenzsysteme, Grundlagen, Komponenten und Systeme für aktive Sicherheit und Komfort , 2009 .

[28]  Christoph Meinel,et al.  Realistic Simulation of V2X Communication Scenarios , 2008, 2008 IEEE Asia-Pacific Services Computing Conference.

[29]  Jens Rasmussen,et al.  Skills, rules, and knowledge; signals, signs, and symbols, and other distinctions in human performance models , 1983, IEEE Transactions on Systems, Man, and Cybernetics.

[30]  Martin Treiber,et al.  Realistische Mikrosimulation von Straßenverkehr mit einem einfachen Modell , 2004 .