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Title: | Investigating the Effect of Driver-Vehicle-Environment Interaction with Risk Through Naturalistic Driving Data | Authors: | Michelaraki, Eva Garefalakis, Thodoris Roussou, Stella Katrakazas, Christos Afghari, Amir Papazikou, Evita Talbot, Rachel ADNAN, Muhammad KHATTAK, Wisal Al Haddad, Christelle Alam, Md Antoniou, Constantinos Papadimitriou, Eleonora Yannis, George BRIJS, Tom |
Issue Date: | 2025 | Source: | Proceedings of Transport Research Arena (TRA) 2024, p. 147 -161 | Series/Report: | Lecture Notes in Mobility | Abstract: | While mobility and safety of drivers are challenged by behavioral changes, the increasingly complex road environment has placed a higher demand on their adaptability. The ultimate goal of this paper was to identify the impact that the balance between task complexity and coping capacity had on crash risk. Towards that aim, an integrated model for understanding the effect of the interrelationship of task complexity and coping capacity with risk was developed. A vast library of data from a naturalistic driving experiment was created in three countries (i.e., Belgium, UK and Germany) to investigate the most prominent driving behavior indicators available, including speeding, headway, overtaking, duration , distance and harsh events. In order to fulfil the aforementioned objectives, exploratory analysis, such as Generalized Linear Models (GLMs) were developed , and the most appropriate variables associated to the latent variable "task complexity" and "coping capacity" were estimated from the various indicators. Additionally, Structural Equation Models (SEMs) were used to explore how the model variables were interrelated , allowing for both direct and indirect relationships to be modelled. The analyses revealed that higher task complexity levels lead to higher coping capacity by drivers. Additionally, the effect of task complexity on risk was greater than the impact of coping capacity in Belgium and Germany, while mixed results were observed in the UK. | Keywords: | driving behavior · road safety · naturalistic driving study;Structural Equation Models;Generalized Linear Models | Document URI: | http://hdl.handle.net/1942/47423 | ISBN: | 978-3-031-88973-8 | DOI: | https://doi.org/10.1007/978-3-031-88974-5_22 | Rights: | © The Editor(s) (if applicable) and The Author(s) 2025. This book is an open access publication. Open Access This book is licensed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license and indicate if changes were made. The images or other third party material in this book are included in the book’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the book’s Creative Commons license and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. The use of general descriptive names, registered names, trademarks, service marks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. The publisher, the authors and the editors are safe to assume that the advice and information in this book are believed to be true and accurate at the date of publication. Neither the publisher nor the authors or the editors give a warranty, expressed or implied, with respect to the material contained herein or for any errors or omissions that may have been made. The publisher remains neutral with regard to jurisdictional claims in published maps and institutional affiliations. This Springer imprint is published by the registered company Springer Nature Switzerland AG The registered company address is: Gewerbestrasse 11, 6330 Cham, Switzerland | Category: | C1 | Type: | Proceedings Paper |
Appears in Collections: | Research publications |
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TRA 2024 i-DREAMS Driver-Vehicle-Environment Interaction with Risk.pdf | Published version | 759.95 kB | Adobe PDF | View/Open |
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