Abstract
Communication between road users is ruled by road traffic regulations, but there are also implicit laws of communication. Especially lane changes in dense traffic scenarios require not only communicating one’s intention but also cooperating with other drivers. Self-driving vehicles will need to communicate with conventional vehicles on the road during the transition period to full automation. But how does a driver show his willingness to cooperate? A driving simulator study with N = 28 drivers in a dense traffic scenario on the highway was conducted. It was assumed that different lag vehicle reaction behavior on turn signals of the ego driver would influence the ego driver in his subjective evaluation of the situation. Three main effects, deceleration, the amount of velocity reduction and reaction time concerning perceived cooperation were found. The results of the study can be used to design cooperative driving strategies between self-driving and manually driven vehicles.
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EC: WHITE PAPER: roadmap to a single European transport area. In: European Commission, p. 31 (2011)
Sivak, M., Schoettle, B.: Road Safety with Self-Driving Vehicles: General Limitations and Road Sharing with Conventional Vehicles. University of Michigan, Ann Arbor, Michigan (2015)
Nees, M.A.: Acceptance of self-driving cars: an examination of idealized versus realistic portrayals with a self- driving car acceptance scale. Proc. Hum. Factors Ergon. Soc. Annu. Meet. 60(1), 1449–1453 (2016)
Hoff, K.A., Bashir, M.: Trust in automation. Hum. Factors 57(3), 407–434 (2015)
Ahmed, K.I.: Modeling drivers’ acceleration and lane changing behavior. Transportation (Amst) Ph. D., 189 (1999)
Gipps, P.: A model for the structure of lane-changing decisions. Transp. Res. Part B 20(5), 403–414 (1986)
Choudhury, C.F., Ben-Akiva, M.E., Toledo, T., Lee G., Rao, A.: Modeling cooperative lane-changing and forced merging behavior. In: 86th Annual Meeting of the Transportation Research Board, Washington, DC. (2007)
Färber B.: Kommunikationsprobleme zwischen autonomen Fahrzeugen und menschlichen Fahrern. In: Autonomes Fahren, pp. 127–146. Springer, Berlin (2015)
Merten, K: Kommunikationsprozesse im Straßenverkehr (1977)
Maurer, M., Gerdes, C.J., Lenz, B., Winner, H.: Autonomes Fahren (2015)
Risser, R.: Kommunikation und Kultur des Straßenverkehrs (1987)
Watzlawick, P., et al.: Menschliche Kommunikation: Formen, Störungen, Paradoxien. Huber, New Jersey (2007)
Ellinghaus, D.: Rücksichtslosigkeit und Partnerschaft. IFAPLAN, Köln (1986)
Maag, C.: Fahrer und Verkehrsklima (2004)
Benmimoun, A., Neunzig, D., Maag, C.: Effizienzsteigerung durch professionelles/partnerschaftliches Verhalten im Straßenverkehr. FAT-Schriftenreihe no.1811, Frankfurt/Main (2004)
Zimmermann, M., Fahrmeier, L., Bengler, K.J.: A Roland for an Oliver? Subjective perception of cooperation during conditionally automated driving. Int Conf. Collab. Technol. Syst. CTS 2015, 57–63 (2015)
Kandada, S., Bham, G.H.: Driver mandatory lane change behavior: use of governing gap in critical gap estimation. In: Transportation Research Board, 92nd Annual Meeting (2013). Paper No. 13-5151
Henning, M.J.: Preparation for lane change manoeuvres: behavioural indicators and underlying cognitive processes, p. 163 (2010)
Green, M.: How long does it take to stop? Methodological analysis of driver perception-brake times. Transp. Hum. Factors 2(3), 195–216 (2000)
Johansson, G., Rumar, K.: Drivers’ brake reaction times. Hum. Factors 13(1), 23–27 (1971)
Broen, N.L., Chiang, D.P.: Braking response times for 100 drivers in the avoidance of an unexpected obstacle as measured in a driving simulator. Proc. Hum. Factors Ergon. Soc. Ann. Meet. 40(18), 900–904 (1996)
Ellinghaus, D., Welbers, M.: Vorschrift und Verhalten. Eine empirische Untersuchung über den Umgang mit Verkehrsregeln, 3. Auflage. IFAPLAN, Köln (1978)
Ehmanns, D.: Simulation Model of Human Lane Change Behaviour. In: Der Fahrer im 21. Jahrhundert?: Tagung Berlin, 3. und 4. Mai 2001, pp. 203–216 (2001)
Kesting, A., Treiber, M., Helbing, D.: General lane-changing model MOBIL for car-following models. Transp. Res. Rec. J. Transp. Res. Board 1999(1), 86–94 (2007)
Gerlough, J., Daniel, L., Huber, M.: Traffic Flow Theory: A Monograph, pp. 17–31, Transportation Research Board, Washington D.C. (1975). Special re.
Barreit, G.V.: Feasibility of studying driver reaction to sudden pedestrian emergencies in an automobile simulator. Hum. Factors 10, 19–26 (1968)
Evans, L.: Traffic safety. Science Serving Society, Bloomfield Hills (2004)
Ohta, H.: Individual differences in driving distance headway. In: Gale, S., Brown, A.G., Haslegrave, I.D., Moorhead, C.M., Taylor, I. (eds.) Vision in Vehicles, pp. 91–100. Elsevier Science, London (1993)
Neukum, A., Naujoks, F., Kappes, S.: Kontrollierbarkeit unerwarteter Eingriffe eines Bremsassistenzsystems aus Perspektive des Folgeverkehrs
Heller, O.: Hörfeldaudiometrie mit dem Verfahren der Kategorienunterteilung (KU). Psychol. Beiträge 27, 478–493 (1985)
Green, D.M., Swets, J.A.: Signal Detection Theory and Psychophysics. Peninsula Pub, Baileys Harbor (1988)
Hoffmann, S., Buld, S.: Darstellung und Evaluation eines Trainings zum Fahren in der Fahrsimulation. In: VDI Wissensforum (ed.) Integrierte Sicherheit und Fahrerassistenzsysteme, pp. 113–132 (2006)
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Kauffmann, N., Naujoks, F., Winkler, F., Kunde, W. (2018). Learning the “Language” of Road Users - How Shall a Self-driving Car Convey Its Intention to Cooperate to Other Human Drivers?. In: Nunes, I. (eds) Advances in Human Factors and Systems Interaction. AHFE 2017. Advances in Intelligent Systems and Computing, vol 592. Springer, Cham. https://doi.org/10.1007/978-3-319-60366-7_6
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DOI: https://doi.org/10.1007/978-3-319-60366-7_6
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