Hostname: page-component-78c5997874-8bhkd Total loading time: 0 Render date: 2024-11-10T18:21:37.290Z Has data issue: false hasContentIssue false
  • English
  • Français

Comparing Speed Estimations from a Moving Vehicle in Different Traffic Scenarios: Absence versus Presence of Traffic Flow

Published online by Cambridge University Press:  10 April 2014

Ángela Conchillo ,
Miguel Ángel Recarte ,
Luis Nunes  and
Trinidad Ruiz
Ángela Conchillo*
Affiliation:
Universidad Complutense de Madrid
Miguel Ángel Recarte
Affiliation:
Universidad Complutense de Madrid
Luis Nunes
Affiliation:
Departamento de Investigación y Formación Vial. Dirección General de Tráfico. Madrid
Trinidad Ruiz
Affiliation:
Universidad Complutense de Madrid
*
Correspondence concerning this article should be addressed to Ángela Conchillo, Facultad de Psicología.Universidad Complutense de Madrid. Campus de Somosaguas. 28223 – Madrid (Spain). e-mail: conchillo@psi.ucm.es
Get access Rights & Permissions [Opens in a new window]

Abstract

The aim of this research was to study the performance in a speed estimation task of a passenger travelling in a real car in different scenarios: a closed track used in previous experimental studies was compared with interurban traffic environment involving a secondary road and a highway. At the same time, the effect of sex and driving experience on speed estimation was analyzed. Thirty-six participants (18 male and 18 female, half of each group being drivers and half non-drivers) estimated the speed of the car in which they travelled as passengers. The actual speed values varied in the range of 40-100 km/h for the secondary road, 70-120 km/h for the highway condition, and 40-120 km/h for the track. The results obtained for the track in previous studies (Recarte & Nunes, 1996; Recarte, Conchillo, & Nunes, 2004, 2005) were replicated in the same condition and were also verified for the secondary road scenario. However, a different pattern of errors was found for the highway. From the viewpoint of psychophysics, the participants were more accurate on the without-traffic track than in real traffic conditions, considered as a whole. The differences found between road and highway are discussed. No effect was found for between- subject variables, sex, and driving experience.

El objetivo de esta investigación es comparar las estimaciones de la velocidad de un coche real circulando en diferentes escenarios: un circuito sin tráfico, utilizado en estudios experimentales previos, se compara con un escenario interurbano abierto al tráfico, consistente en un tramo de carretera convencional y un tramo de autovía. Asimismo se analiza el efecto del sexo y la experiencia de conducción sobre las estimaciones de la velocidad. Treinta y seis participantes (mitad varones, mitad mujeres y, por experiencia, mitad conductores y mitad no conductores) estimaron la velocidad del coche en el que iban sentados como pasajeros. Las velocidades a estimar variaron de 40 a 100 km/h en carretera, de 70 a 120 km/h en autovía, y de 40 a 120km/h en el circuito. Los resultados obtenidos en circuito replicaron los de estudios previos (Recarte y Nunes, 1996; Recarte, Conchillo y Nunes, 2004; 2005), y también los obtenidos en carretera. Sin embargo, la estimación en autovía presentó un patrón de errores diferente a los anteriores. Desde el punto de vista de la psicofísica, los sujetos estimaron con más precisión en el circuito sin tráfico que en las dos condiciones de tráfico real, carretera y autovía, en su conjunto. Se comentan las diferencias entre carretera y autovía. No se encontraron diferencias debidas a las variables inter-sujetos, sexo y experiencia en conducción.

Keywords

speed estimationsubjective speedtraffic psychologyestimación de la velocidadvelocidad subjetivapsicología del tráfico
Type
Articles
Information
The Spanish Journal of Psychology , Volume 9 , Issue 1 , May 2006 , pp. 32 - 37
Copyright
Copyright © Cambridge University Press 2006

Access options

Get access to the full version of this content by using one of the access options below. (Log in options will check for institutional or personal access. Content may require purchase if you do not have access.)

References

Comte, S.L., & Jamson, A.H. (2000). Traditional and innovative measures for curves: An investigation of driver behaviour using a driving simulator. Safety Science, 36, 137–150.CrossRefGoogle Scholar
Conchillo, A., Hernández, M.J., Recarte, M.A., & Nunes, L.M. (2000). La estimación de la velocidad desde el punto de vista de la consistencia de los sujetos. Psicothema (Suppl. 2), 145–151.Google Scholar
Conchillo, A., Hernández, M.J., Recarte, M.A., & Ruiz, T. (2000). La psicofísica de la velocidad en el contexto de la conducción real de automóviles. Psicothema (Suppl. 2), 152–156.Google Scholar
Conchillo, A., Nunes, L.M., Ruiz, T., & Recarte, M.A. (1999). Estimación de la velocidad de un automóvil mediantecoche real e imágenes. Psicológica, 20, 1, 1–12.Google Scholar
Denton, G.G. (1966). A subjective scale of speed when driving a motor vehicle. Ergonomics, 9, 203–210.CrossRefGoogle ScholarPubMed
Evans, L. (1970). Speed estimation for a moving automobile. Ergonomics, 13, 219–230.CrossRefGoogle Scholar
Godley, S.T., Triggs, T.J., & Fildes, B.N. (2002).Driving simulator validation for speed research. Accident Analysis and Prevention, 34, 589–600.CrossRefGoogle ScholarPubMed
Godley, S.T., Triggs, T.J., & Fildes, B.N. (2004).Perceptual lane width, wide perceptual road centre markings and driving speeds. Ergonomics, 47, 237–256.CrossRefGoogle ScholarPubMed
Harms, L. (1996). Driving performance on a real road and in a driving simulator: Result of a validation study. In Gale, A.G., Brown, I.D., Haslegrave, C.M., & Taylor, S.P. (Eds.), Vision in Vehicles V (pp. 19–26). Amsterdam: Elsevier.Google Scholar
Milosevic, S. (1986). Perception of vehicle speed. Revijaza Psihologiju, 16, 11–19.Google Scholar
Milosevic, S., & Milic, J. (1990). Speed perception inroad curves. Journal of Safety Research, 21, 19–23.CrossRefGoogle Scholar
Nunes, L.M., & Recarte, M.A. (1997, April). Argos program: Development of technological systems and research programs for driver behavior analysis under real traffic conditions (ISHFRT 2). Proceedings of the International Seminar on Human Factors in Road Traffic 2. Universidade do Minho. Braga. Portugal.Google Scholar
Nunes, L.M., & Recarte, M.A. (2005). Speed, traffic complexity, and visual performance: A study on open road. In Underwood, G. (Ed.). Traffic and transport psychology: Theory and application (339–354). Amsterdam: Elsevier.Google Scholar
Ohta, H., & Komatsu, H. (1991). Speed perception in driving-comparison with TV observation. In Gale, A.G., Brown, I.D., & Haslegrave, C.M. ( Eds.), Vision in Vehicles III (pp. 415–426). Amsterdam: Elsevier.Google Scholar
Osaka, N. (1988). Speed estimation through restricted visual fieldduring driving in day and night: Nasotemporal hemisfield differences. In Gale, A.G., Freeman, M.A., & Haslegrave, C.M. (Eds.), Vision in Vehicles II ( pp. 45–55). Amsterdam: Elsevier.Google Scholar
Recarte, M.A., Conchillo, A., & Nunes, L. (1996). Percepción y ajuste de incrementos de velocidad en automóvil. Psicológica, 17, 441–454.Google Scholar
Recarte, M.A., Conchillo, A., & Nunes, L. (2004). Perception of speed and increments in cars. In Rothengatter, T., &Huguenin, R.D. (Eds.), Traffic and transport psychology: Theory and applications (pp.73–84). Amsterdam: Elsevier.Google Scholar
Recarte, M.A., Conchillo, A., & Nunes, L. (2005). Estimation of arrival time in vehicle and video. Psicothema, 17, 112–117.Google Scholar
Recarte, M.A., & Nunes, L. (1996). Perception of speed in an automobile: Estimation and production. Journal of Experimental Psychology: Applied, 2, 291–304.Google Scholar
Recarte, M.A., & Nunes, L. (2000). Effects of verbal and spatial imagery task on eye fixations while driving. Journal Experimental Psychology: Applied, 6, 31–43.Google ScholarPubMed
Recarte, M.A., & Nunes, L. (2003). Mental workload while driving: Effects on visual search, discrimination and decision making. Journal of Experimental Psychology: Applied, 9, 119–137.Google ScholarPubMed
Ruiz, T., Hernández, M.J., Conchillo, A., & Recarte, M.A. (2001). Análisis del efecto secuencial en la estimación de la velocidad mediante modelos de regresión. Metodología de las Ciencias del Comportamiento, 3, 81–96.Google Scholar
Triggs, T., & Berenyi, J.S. (1982). Estimation of automobile speed under day and night conditions. Human Factors, 24, 111–114.CrossRefGoogle ScholarPubMed