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Do Statistics Show Differences between Distance Estimations of 3D Objects in the Traffic Environment Using Glances, Side View Mirrors, and Camera Display?

Author

Listed:
  • Aleksandar Trifunović

    (Faculty of Transport and Traffic Engineering, University of Belgrade, 11000 Belgrade, Serbia)

  • Tijana Ivanišević

    (Academy of Professional Studies Sumadija, 34000 Kragujevac, Serbia)

  • Svetlana Čičević

    (Academy of Professional Studies Sumadija, 34000 Kragujevac, Serbia)

  • Sreten Simović

    (Faculty of Mechanical Engineering, University of Montenegro, 81000 Podgorica, Montenegro)

  • Vedran Vukšić

    (P.E. GSP Belgrade, Knjeginje Ljubice 29, 11000 Belgrade, Serbia)

  • Živana Slović

    (Faculty of Medical Sciences, Department of Forensic Medicine, University of Kragujevac, 34000 Kragujevac, Serbia)

Abstract

The driver’s task in traffic is to evaluate traffic situations and act in accordance with the estimate. One of the most common causes of road crashes is “incorrect estimated of the traffic situation”. Correct perception of surroundings is one of the prerequisites for safe and successful driving. To investigate the mentioned issue, the authors of this paper conducted an experimental study with the aim of determining what affects the estimation of the object distance. In contrast to previous studies known from the available literature, our study presents experimental research of the estimated distance of 3D stimuli in three environments by direct observation, a rear-view mirror, and a camera display in a vehicle. One-hundred-and-sixty-four participants participated in the experiment. The research results show statistically significant differences in the estimation of the distance of 3D objects for different colors. Participants, for the largest number of stimuli, best estimate the distance from direct observation than through the rear-view mirror, while they make the most mistakes when estimating the distance of 3D objects using the camera display in a vehicle. On the other hand, in all described conditions, the respondents estimated the distance to the blue and green objects with the most significant errors.

Suggested Citation

  • Aleksandar Trifunović & Tijana Ivanišević & Svetlana Čičević & Sreten Simović & Vedran Vukšić & Živana Slović, 2023. "Do Statistics Show Differences between Distance Estimations of 3D Objects in the Traffic Environment Using Glances, Side View Mirrors, and Camera Display?," Mathematics, MDPI, vol. 11(5), pages 1-13, March.
    • Handle: RePEc:gam:jmathe:v:11:y:2023:i:5:p:1258-:d:1088472
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    References listed on IDEAS

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    1. Sreten Simović & Tijana Ivanišević & Aleksandar Trifunović & Svetlana Čičević & Dragan Taranović, 2021. "What Affects the E-Bicycle Speed Perception in the Era of Eco-Sustainable Mobility: A Driving Simulator Study," Sustainability, MDPI, vol. 13(9), pages 1-14, May.
    2. Grandi, Benedetta & Cardinali, Maria Grazia, 2022. "Colours and price offers: How different price communications can affect sales and customers’ perceptions," Journal of Retailing and Consumer Services, Elsevier, vol. 68(C).
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    Cited by:

    1. Nenad Marković & Tijana Ivanišević & Svetlana Čičević & Aleksandar Trifunović, 2024. "Fuzzy Logic Model for Assessing Accident Proneness Based on Passenger Vehicle Speed in Real and Virtual Traffic Conditions," Mathematics, MDPI, vol. 12(3), pages 1-20, January.

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