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Evaluation of Drivers’ Hazard Perception in Simultaneous Longitudinal and Lateral Control of Vehicle Using a Driving Simulator

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Artificial Intelligence and Smart Vehicles (ICAISV 2023)

Part of the book series: Communications in Computer and Information Science ((CCIS,volume 1883))

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Abstract

Hazard perception is the driver's ability to detect and prepare for the proper reaction. Evaluation of hazard perception skills in the training and certification process is critical in reducing traffic accidents. Most hazard perception skill assessments are based on questionnaires and button clicks. In contrast, hazard perception can be more useful in practical driving based on realistic driving assessment criteria. In this paper, understanding driving motivations has been recognized as a key factor in predicting driver behavior. Physical variables such as time-to-collision, collision avoidance, and execution time have been employed to estimate numerical values for the motivations. A group of young drivers participated in driving simulator tests, and their behavior was assessed in terms of execution time, decision making, and decision execution. By investigating motivational parameters, the driver's behavioral anomalies are identified. Also, The drivers’ hazard perception skills were thoroughly evaluated through simulated scenarios providing insights into their ability to perceive and respond to potential hazards in diverse traffic conditions. It was demonstrated that the algorithm could improve drivers’ hazard perception skills in a risk-free simulator environment. If this algorithm is incorporated into driver's license training programs, drivers can improve their overall hazard perception abilities. This proactive approach ensures that drivers are equipped with the necessary skills and awareness to handle potential hazards on the road.

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Authors and Affiliations

  1. Virtual Reality Laboratory, K. N. Toosi University of Technology, Pardis Street, Mollasadra Avenue, Vanak Square, Tehran, Iran

    Mohammad Pashaee & Ali Nahvi

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  1. Mohammad Pashaee
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  2. Ali Nahvi
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Correspondence to Mohammad Pashaee .

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Editors and Affiliations

  1. Amirkabir University of Technology, Tehran, Iran

    Mehdi Ghatee

  2. Amirkabir University of Technology, Tehran, Iran

    S. Mehdi Hashemi

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Pashaee, M., Nahvi, A. (2023). Evaluation of Drivers’ Hazard Perception in Simultaneous Longitudinal and Lateral Control of Vehicle Using a Driving Simulator. In: Ghatee, M., Hashemi, S.M. (eds) Artificial Intelligence and Smart Vehicles. ICAISV 2023. Communications in Computer and Information Science, vol 1883. Springer, Cham. https://doi.org/10.1007/978-3-031-43763-2_7

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  • DOI: https://doi.org/10.1007/978-3-031-43763-2_7

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  • Publisher Name: Springer, Cham

  • Print ISBN: 978-3-031-43762-5

  • Online ISBN: 978-3-031-43763-2

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