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The Effectiveness of an Intelligent Speed Assistance System with Real-Time Speeding Interventions for Truck Drivers: A Belgian Simulator Study

Author

Listed:
  • Bart De Vos

    (DriveSimSolutions, 2440 Geel, Belgium
    Transportation Research Institute (IMOB), School of Transportation Sciences, UHasselt–Hasselt University, 3500 Hasselt, Belgium)

  • Ariane Cuenen

    (Transportation Research Institute (IMOB), School of Transportation Sciences, UHasselt–Hasselt University, 3500 Hasselt, Belgium)

  • Veerle Ross

    (Transportation Research Institute (IMOB), School of Transportation Sciences, UHasselt–Hasselt University, 3500 Hasselt, Belgium
    FARESA, Evidence-Based Psychological Centre, 3500 Hasselt, Belgium)

  • Hélène Dirix

    (Transportation Research Institute (IMOB), School of Transportation Sciences, UHasselt–Hasselt University, 3500 Hasselt, Belgium)

  • Kris Brijs

    (Transportation Research Institute (IMOB), School of Transportation Sciences, UHasselt–Hasselt University, 3500 Hasselt, Belgium)

  • Tom Brijs

    (Transportation Research Institute (IMOB), School of Transportation Sciences, UHasselt–Hasselt University, 3500 Hasselt, Belgium)

Abstract

Speeding is one of the leading risk factors in road safety. Not only is it one of the leading causes of accidents, but it also has an extensive effect on the impact and consequences of accidents. This is especially the case for trucks, where the enforced speed limit is often dependent on local legislation and context rather than speed limit traffic signs. This study is part of the greater i-DREAMS project and aims to explore the effectiveness of an intelligent speed assistance system for truck drivers on different road types. To achieve this, a simulator experiment was performed with 34 professional truck drivers in Belgium. Participants first made a baseline drive, followed by two more drives, where they received visual information about the enforced speed limit but also visual and auditory warnings when exceeding the speed limit. The drives included different road environments with different speed limits. The results reveal a significant reduction in relevant parameters (i.e., average speed, minimum speed, maximum speed, and percentage of distance above the speed limit) when drivers received information and warnings about speeding while driving on a rural 1 × 1 road with a speed limit of 70 km/h (60 km/h for trucks). Further research is needed to validate this effect on other road types and under more-challenging conditions.

Suggested Citation

  • Bart De Vos & Ariane Cuenen & Veerle Ross & Hélène Dirix & Kris Brijs & Tom Brijs, 2023. "The Effectiveness of an Intelligent Speed Assistance System with Real-Time Speeding Interventions for Truck Drivers: A Belgian Simulator Study," Sustainability, MDPI, vol. 15(6), pages 1-15, March.
    • Handle: RePEc:gam:jsusta:v:15:y:2023:i:6:p:5226-:d:1098241
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    References listed on IDEAS

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    1. Sunstein, Cass R., 2017. "Nudges that fail," Behavioural Public Policy, Cambridge University Press, vol. 1(1), pages 4-25, May.
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