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| Seuring, Stefan |
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| Nor Azizi, S. |
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| Pato, Margarida Vaz |
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| Kölker, Katrin |
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| Huber, Oliver |
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| Király, Tamás |
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| Spengler, Thomas Stefan |
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| Al-Ammar, Essam A. |
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| Dargahi, Fatemeh |
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| Mota, Rui |
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| Mazalan, Nurul Aliah Amirah |
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| Macharis, Cathy | Brussels |
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| Arunasari, Yova Tri |
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| Nunez, Alfredo | Delft |
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| Bouhorma, Mohammed |
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| Bonato, Matteo |
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| Fitriani, Ira |
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| Autor Correspondente Coelho, Sílvia. |
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| Pond, Stephen |
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| Okwara, Ukoha Kalu |
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| Toufigh, Vahid |
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| Campisi, Tiziana | Enna |
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| Ermolieva, Tatiana |
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| Sánchez-Cambronero, Santos |
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| Agzamov, Akhror |
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Filtness, Ashleigh
in Cooperation with on an Cooperation-Score of 37%
Topics
Publications (20/20 displayed)
- 2023Framework for behaviour change implemented in real-time and post-trip interventions of the H2020 i-DREAMS naturalistic driving project
- 2023State-of-the-art Technologies for Post-Trip Safety Interventions
- 2023Effectiveness of real-time and post-trip interventions from the H2020 i-DREAMS naturalistic driving project: A Sneak Preview
- 2022Investigating the effects of sleepiness in truck drivers on their headway: an instrumental variable model with grouped random parameters and heterogeneity in their meanscitations
- 2022Methodology for the Evaluation of Safety Interventions
- 2022Investigating the effects of sleepiness in truck drivers on their headway: An instrumental variable model with grouped random parameters and heterogeneity in their meanscitations
- 2021Autonomous Vehicles and Vulnerable Road-Users—Important Considerations and Requirements Based on Crash Data from Two Countriescitations
- 2021The i-DREAMS intervention strategies to reduce driver fatigue and sleepiness for different transport modescitations
- 2021Post-trip safety interventions: State-of-the-art, challenges, and practical implicationscitations
- 2021Modelling driver decision-making at railway level crossings using the abstraction decomposition spacecitations
- 2019Riding the emotional roller-coaster: Using the circumplex model of affect to model motorcycle riders’ emotional state-changes at intersectionscitations
- 2019What do driver educators and young drivers think about driving simulators? A qualitative draw-and-talk studycitations
- 2019Riding the emotional roller-coastercitations
- 2019The effect of psychosocial factors on perceptions of driver education using the goals for driver education frameworkcitations
- 2019Review and ranking of crash risk factors related to the road infrastructurecitations
- 2018A mixed-methods study of driver education informed by the Goals for Driver Education: Do young drivers and educators agree on what was taught?citations
- 2018Serious Road Traffic Injuries in Europe, Lessons from the EU Research Project SafetyCubecitations
- 2018Burden of injury of serious road injuries in six EU countriescitations
- 2016Identification of Road User related Risk Factors. SAfetyCube Deliverable 4.1
- 2016Identification of Road User related Risk Factors. SAfetyCube Deliverable 4.1
Places of action
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article
Modelling driver decision-making at railway level crossings using the abstraction decomposition space
Abstract
<p>The objective of this paper is to cast users of railway level crossings as flexible and adaptive decision-makers, and to apply a cognitive systems engineering approach to discover new behaviour-based insights for improving safety. Collisions between trains and road vehicles at railway level crossings/grade crossings remain a global issue. It is still far from apparent why drivers undertake some of the behaviours that lead to collisions, and there remains considerable justification for continuing to explore this issue with novel methods and approaches. In this study, 220 level crossing encounters by 22 car drivers were subject to analysis. Concurrent verbal protocols provided by drivers as they drove an instrumented vehicle around a pre-defined route were subject to content analysis and mapped onto Rasmussen’s Abstraction Decomposition Space. Three key results emerged. First, when they realise they are in a crossing environment, drivers’ natural tendencies are to look for trains (even if not required), slow down (again, even if not required), and for their behaviour to be shaped by a wide variety of constraints and affordances (some, but not all, put there for that purpose by railway authorities). The second result is that expert decision-making in these situations does not describe a trajectory from high-level system purposes to low-level physical objects. Instead, drivers remain at intermediate and lower levels of system abstraction, with many loops and iterations. The final finding is that current level crossing systems are inadvertently constraining some desirable behaviours, affording undesirable ones, and that unexpected system elements are driving behaviour in ways not previously considered. Railway level crossings need to be designed to reveal their functional purpose much more effectively than at present.</p>
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