The platooning technology allows for two or more trucks running in convoy at a pre-defined distance between each other, being virtually connected using connectivity technology and automated driving support systems. It is recognized that truck platooning systems bring economical and environmental advantages. Thus, it is time for a transition from the existing truck freight activity towards truck platooning systems. This requires an important improvement in terms of in-vehicle technology, together with infrastructure improvement and truck drivers' acquisition of new technology-related skills. A holistic approach is previewed to identify both the requirements for the development of truck platooning services and the requests for their safe deployment in the real world. Then, qualitative data were collected from truck drivers working for two different Portuguese freight companies using Focus Groups (FG). Thus, three FG sessions were organized and carried out with a total of 22 truck drivers. Considering that age and experience on the job are important factors to take into consideration for technological changes on the job, their potential impact on truck drivers' activity was addressed on the focus group discussions. Anyway, the potential users' attitudes regarding any innovation on the job were addressed as a prevention of further negative attitudes or misuse. Having safety in mind as a permanent attitude toward on job innovation is actually the most important factor toward success.
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http://dx.doi.org/10.1016/j.aap.2023.107405 | DOI Listing |
Am J Ind Med
January 2025
Occupational Cancer Research Centre, Ontario Health, Toronto, Ontario, Canada.
Introduction: Raynaud's phenomenon (RP) is linked to occupational exposures such as vibration, cold temperature, and chemicals. However, large cohort studies examining RP by occupation and sex are scarce. To address this gap, this study aimed to assess risk of RP by both occupation and sex in a large cohort of workers in Ontario, Canada.
View Article and Find Full Text PDFLipids
December 2024
Department of Medicine, State University of Mato Grosso do Sul (UEMS), Campo Grande, Mato Grosso do Sul, Brazil.
Cardiovascular diseases (CVD) are a leading cause of mortality and morbidity worldwide. Rapid diagnostic tools are crucial for timely intervention, especially in high-risk groups such as truck drivers. In Brazil, the Mission® test uniquely offers test strips for simultaneous measurement of total cholesterol (TC), high-density lipoprotein (HDL), triglycerides (TG), and low-density lipoprotein (LDL).
View Article and Find Full Text PDFJ Hazard Mater
November 2024
School of Emergency Management, Nanjing University of Information Science & Technology, Nanjing 210044, China.
Heavy trucks in open-pit mines are significant sources of dust. The diffusion of dust is primarily influenced by wind flow. The surface wind speed exhibits an exponential distribution as height increases.
View Article and Find Full Text PDFBMC Public Health
November 2024
Makerere University School of Public Health, P.O. Box 7072, Kampala, Uganda.
Background: A recent systematic review shows high COVID-19 vaccine effectiveness in fully-vaccinated people in Africa. However, vaccine uptake has varied across populations. We assessed the uptake, perceptions of and willingness to take the COVID-19 vaccine among unvaccinated individuals at two Ugandan border points of entry.
View Article and Find Full Text PDFAccid Anal Prev
February 2025
Department of Civil, Construction and Environmental Engineering, College of Engineering, North Dakota State University, Fargo, ND 58108-6050, USA. Electronic address:
This study employs a partially temporally constrained modeling approach to examine spatiotemporal variations in driver injury severity in single-vehicle large truck crashes across different terrains in California, allowing for a nuanced understanding of how specific factors influencing injury outcomes may change over time. Utilizing crash data from January 1st, 2015, to December 31st, 2017, obtained from the Highway Safety Information System, this study categorizes terrains as flat, rolling, and mountainous terrain and employs a random parameter multinomial logit model with heterogeneity in means and variance to account for potential heterogeneity in crash injury outcomes. This approach helps understand how different terrains influence injury severities while allowing for parameter variability across observations.
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