Please use this identifier to cite or link to this item: http://hdl.handle.net/1942/41976
Title: Examination of the Effect of Task Complexity and Coping Capacity on Driving Risk: A Cross-Country and Transportation Mode Comparative Study
Authors: Roussou, Stella
Garefalakis, Thodoris
Michelaraki, Eva
Katrakazas, Christos
ADNAN, Muhammad 
KHATTAK, Wisal 
BRIJS, Tom 
Yannis, George
Issue Date: 2023
Publisher: MDPI
Source: SENSORS, 23 (24) (Art N° 9663)
Abstract: Abstract: The i-DREAMS project established a 'Safety Tolerance Zone (STZ)' to maintain operators within safe boundaries through real-time and post-trip interventions, based on the crucial role of the human element in driving behavior. This paper aims to model the interrelationship among driving task complexity, operator and vehicle coping capacity, and crash risk. Towards that aim, data from 80 drivers, who participated in a naturalistic driving experiment carried out in three countries (i.e., Belgium, Germany, and Portugal), resulting in a dataset of approximately 19,000 trips were collected and analyzed. The exploratory analysis included the development of Generalized Linear Models (GLMs) and the choice of the most appropriate variables associated with the latent variables "task complexity" and "coping capacity" that are to be estimated from the various indicators. In addition, Structural Equation Models (SEMs) were used to explore how the model variables were interrelated, allowing for both direct and indirect relationships to be modeled. Comparisons on the performance of such models, as well as a discussion on behaviors and driving patterns across different countries and transport modes, were also provided. The findings revealed a positive relationship between task complexity and coping capacity, indicating that as the difficulty of the driving task increased, the driver's coping capacity increased accordingly, (i.e., higher ability to manage and adapt to the challenges posed by more complex tasks). The integrated treatment of task complexity, coping capacity, and risk can improve the behavior and safety of all travelers, through the unobtrusive and seamless monitoring of behavior. Thus, authorities should utilize a data system oriented towards collecting key driving insights on population level to plan mobility and safety interventions, develop incentives for road users, optimize enforcement, and enhance community building for safe traveling.
Notes: Roussou, S (corresponding author), Natl Tech Univ Athens, Dept Transportat Planning & Engn, 5 Iroon Polytech Str, Athens 15773, Greece.
s_roussou@mail.ntua.gr; tgarefalakis@mail.ntua.gr; evamich@mail.ntua.gr;
ckatrakazas@mail.ntua.gr; muhammad.adnan@uhasselt.be;
muhammadwisal.khattak@uhasselt.be; tom.brijs@uhasselt.be;
geyannis@central.ntua.gr
Keywords: task complexity;coping capacity;crash risk;generalized linear models;structural equation models
Document URI: http://hdl.handle.net/1942/41976
e-ISSN: 1424-8220
DOI: 10.3390/s23249663
ISI #: 001130904800001
Rights: All articles published by MDPI are made immediately available worldwide under an open access license. This means: everyone has free and unlimited access to the full-text of all articles published in MDPI journals; everyone is free to re-use the published material if proper accreditation/citation of the original publication is given; open access publication is supported by the authors' institutes or research funding agencies by payment of a comparatively low Article Processing Charge (APC) for accepted articles. Permissions No special permission is required to reuse all or part of article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. Reuse of an article does not imply endorsement by the authors or MDPI.
Category: A1
Type: Journal Contribution
Appears in Collections:Research publications

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