{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,5,27]],"date-time":"2026-05-27T17:09:20Z","timestamp":1779901760537,"version":"3.53.1"},"reference-count":35,"publisher":"MDPI AG","issue":"24","license":[{"start":{"date-parts":[[2023,12,7]],"date-time":"2023-12-07T00:00:00Z","timestamp":1701907200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"funder":[{"name":"European Commission","award":["814761"],"award-info":[{"award-number":["814761"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Sensors"],"abstract":"<jats:p>The i-DREAMS project established a \u2018Safety Tolerance Zone (STZ)\u2019 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 inter-relationship 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 \u201ctask complexity\u201d and \u201ccoping capacity\u201d 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\u2019s 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.<\/jats:p>","DOI":"10.3390\/s23249663","type":"journal-article","created":{"date-parts":[[2023,12,7]],"date-time":"2023-12-07T05:57:08Z","timestamp":1701928628000},"page":"9663","update-policy":"https:\/\/doi.org\/10.3390\/mdpi_crossmark_policy","source":"Crossref","is-referenced-by-count":6,"title":["Examination of the Effect of Task Complexity and Coping Capacity on Driving Risk: A Cross-Country and Transportation Mode Comparative Study"],"prefix":"10.3390","volume":"23","author":[{"ORCID":"https:\/\/orcid.org\/0009-0002-3180-8291","authenticated-orcid":false,"given":"Stella","family":"Roussou","sequence":"first","affiliation":[{"name":"Department of Transportation Planning and Engineering, National Technical University of Athens, 5 Iroon Polytechniou Str., 157 73 Athens, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0151-7864","authenticated-orcid":false,"given":"Thodoris","family":"Garefalakis","sequence":"additional","affiliation":[{"name":"Department of Transportation Planning and Engineering, National Technical University of Athens, 5 Iroon Polytechniou Str., 157 73 Athens, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-7167-4630","authenticated-orcid":false,"given":"Eva","family":"Michelaraki","sequence":"additional","affiliation":[{"name":"Department of Transportation Planning and Engineering, National Technical University of Athens, 5 Iroon Polytechniou Str., 157 73 Athens, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-1837-0125","authenticated-orcid":false,"given":"Christos","family":"Katrakazas","sequence":"additional","affiliation":[{"name":"Department of Transportation Planning and Engineering, National Technical University of Athens, 5 Iroon Polytechniou Str., 157 73 Athens, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1386-2932","authenticated-orcid":false,"given":"Muhammad","family":"Adnan","sequence":"additional","affiliation":[{"name":"Transportation Research Institute (IMOB), School of Transportation Sciences, Hasselt University, 3500 Hasselt, Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Muhammad Wisal","family":"Khattak","sequence":"additional","affiliation":[{"name":"Transportation Research Institute (IMOB), School of Transportation Sciences, Hasselt University, 3500 Hasselt, Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2622-4398","authenticated-orcid":false,"given":"Tom","family":"Brijs","sequence":"additional","affiliation":[{"name":"Transportation Research Institute (IMOB), School of Transportation Sciences, Hasselt University, 3500 Hasselt, Belgium"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-2196-2335","authenticated-orcid":false,"given":"George","family":"Yannis","sequence":"additional","affiliation":[{"name":"Department of Transportation Planning and Engineering, National Technical University of Athens, 5 Iroon Polytechniou Str., 157 73 Athens, Greece"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"1968","published-online":{"date-parts":[[2023,12,7]]},"reference":[{"key":"ref_1","unstructured":"World Health Organization (2022, February 02). 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