Qualitative data collection to identify truck drivers' attitudes toward a transition to platooning systems.

Accid Anal Prev

CITTA - Research Centre for Territory, Transports and Environment, Faculty of Engineering, University of Porto, R. Dr. Roberto Frias. 4200-465 Porto, Portugal. Electronic address:

Published: February 2024

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.

Download full-text PDF

Source
http://dx.doi.org/10.1016/j.aap.2023.107405DOI Listing

Publication Analysis

Top Keywords

truck drivers'
12
platooning systems
12
truck platooning
12
truck
9
qualitative data
8
truck drivers
8
platooning
5
data collection
4
collection identify
4
identify truck
4

Similar Publications

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 PDF

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 PDF

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 PDF

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 PDF

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.

View Article and Find Full Text PDF

Want AI Summaries of new PubMed Abstracts delivered to your In-box?

Enter search terms and have AI summaries delivered each week - change queries or unsubscribe any time!