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Drivers' Intentions to Use Different Functionalities of Conditionally Automated Cars: A Survey Study of 18,631 Drivers from 17 Countries.

International journal of environmental research and public health

Louw T, Madigan R, Lee YM, Nordhoff S, Lehtonen E, Innamaa S, Malin F, Bjorvatn A, Merat N.
PMID: 34831810
Int J Environ Res Public Health. 2021 Nov 17;18(22). doi: 10.3390/ijerph182212054.

A number of studies have investigated the acceptance of conditionally automated cars (CACs). However, in the future, CACs will comprise of several separate Automated Driving Functions (ADFs), which will allow the vehicle to operate in different Operational Design Domains...

Cite
Louw T, Madigan R, Lee YM, et al. Drivers' Intentions to Use Different Functionalities of Conditionally Automated Cars: A Survey Study of 18,631 Drivers from 17 Countries. Int J Environ Res Public Health. 2021;18(22)doi: 10.3390/ijerph182212054.
Louw, T., Madigan, R., Lee, Y. M., Nordhoff, S., Lehtonen, E., Innamaa, S., Malin, F., Bjorvatn, A., & Merat, N. (2021). Drivers' Intentions to Use Different Functionalities of Conditionally Automated Cars: A Survey Study of 18,631 Drivers from 17 Countries. International journal of environmental research and public health, 18(22), . https://doi.org/10.3390/ijerph182212054
Louw, Tyron, et al. "Drivers' Intentions to Use Different Functionalities of Conditionally Automated Cars: A Survey Study of 18,631 Drivers from 17 Countries." International journal of environmental research and public health vol. 18,22 (2021). doi: https://doi.org/10.3390/ijerph182212054
Louw T, Madigan R, Lee YM, Nordhoff S, Lehtonen E, Innamaa S, Malin F, Bjorvatn A, Merat N. Drivers' Intentions to Use Different Functionalities of Conditionally Automated Cars: A Survey Study of 18,631 Drivers from 17 Countries. Int J Environ Res Public Health. 2021 Nov 17;18(22). doi: 10.3390/ijerph182212054. PMID: 34831810; PMCID: PMC8618223.
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Managing Big Data for Addressing Research Questions in a Collaborative Project on Automated Driving Impact Assessment.

Sensors (Basel, Switzerland)

Bellotti F, Osman N, Arnold EH, Mozaffari S, Innamaa S, Louw T, Torrao G, Weber H, Hiller J, De Gloria A, Dianati M, Berta R.
PMID: 33260831
Sensors (Basel). 2020 Nov 27;20(23). doi: 10.3390/s20236773.

While extracting meaningful information from big data is getting relevance, literature lacks information on how to handle sensitive data by different project partners in order to collectively answer research questions (RQs), especially on impact assessment of new automated driving...

Cite
Bellotti F, Osman N, Arnold EH, et al. Managing Big Data for Addressing Research Questions in a Collaborative Project on Automated Driving Impact Assessment. Sensors (Basel). 2020;20(23)doi: 10.3390/s20236773.
Bellotti, F., Osman, N., Arnold, E. H., Mozaffari, S., Innamaa, S., Louw, T., Torrao, G., Weber, H., Hiller, J., De Gloria, A., Dianati, M., & Berta, R. (2020). Managing Big Data for Addressing Research Questions in a Collaborative Project on Automated Driving Impact Assessment. Sensors (Basel, Switzerland), 20(23), . https://doi.org/10.3390/s20236773
Bellotti, Francesco, et al. "Managing Big Data for Addressing Research Questions in a Collaborative Project on Automated Driving Impact Assessment." Sensors (Basel, Switzerland) vol. 20,23 (2020). doi: https://doi.org/10.3390/s20236773
Bellotti F, Osman N, Arnold EH, Mozaffari S, Innamaa S, Louw T, Torrao G, Weber H, Hiller J, De Gloria A, Dianati M, Berta R. Managing Big Data for Addressing Research Questions in a Collaborative Project on Automated Driving Impact Assessment. Sensors (Basel). 2020 Nov 27;20(23). doi: 10.3390/s20236773. PMID: 33260831; PMCID: PMC7730337.
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Showing 1 to 2 of 2 entries