Zobrazeno 1 - 10
of 28
pro vyhledávání: '"Shaun Helman"'
Publikováno v:
Cognitive Research, Vol 6, Iss 1, Pp 1-17 (2021)
Abstract The introduction of autonomous vehicles (AVs) could prevent many accidents attributable to human driver error. However, even entirely driverless vehicles will sometimes require remote human intervention. Current taxonomies of automated drivi
Externí odkaz:
https://doaj.org/article/87ff7690e8d1472eb54e1cf3d6bcd75f
Publikováno v:
Frontiers in Psychology, Vol 12 (2021)
Even entirely driverless vehicles will sometimes require remote human intervention. Existing SA frameworks do not acknowledge the significant human factors challenges unique to a driver in charge of a vehicle that they are not physically occupying. R
Externí odkaz:
https://doaj.org/article/b2d3c617ef164933a27baa0faf17a809
Autor:
Caroline Wallbank, Liam Steadman, Mark Bell, Nathan Griffiths, Stephen A. Jarvis, Shaun Helman
Publikováno v:
ACM/IMS Transactions on Data Science. 2:1-31
Analysing and learning from spatio-temporal datasets is an important process in many domains, including transportation, healthcare and meteorology. In particular, data collected by sensors in the environment allows us to understand and model the proc
Publikováno v:
Proceedings of the Institution of Civil Engineers - Transport. :1-38
Novel early warning signs for landslides were introduced on the A83 strategic road in Scotland, incorporating a standard rockfall/landslide red warning triangle, switchable flashing lights (‘wig-wa...
Publikováno v:
American journal of preventive medicine. 63(3)
Publikováno v:
Frontiers in Psychology
Frontiers in Psychology, Vol 12 (2021)
Frontiers in Psychology, Vol 12 (2021)
Even entirely driverless vehicles will sometimes require remote human intervention. Existing SA frameworks do not acknowledge the significant human factors challenges unique to a driver in charge of a vehicle that they are not physically occupying. R
Autor:
Caroline Wallbank, Mark Bell, Liam Steadman, Shaun Helman, Nathan Griffiths, Stephen A. Jarvis
Publikováno v:
ARIC@SIGSPATIAL
When linking spatio-temporal datasets, the kD-STR algorithm can be used to reduce the datasets and speed up the linking process. However, kD-STR can sacrifice accuracy in the linked dataset whilst retaining unnecessary information. To overcome this,
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5b112f02d3db528bac24c6c14f4b3790
http://wrap.warwick.ac.uk/143426/1/WRAP-reducing-linking-spatio-temporal-datasets-kD-STR-Jarvis-2020.pdf
http://wrap.warwick.ac.uk/143426/1/WRAP-reducing-linking-spatio-temporal-datasets-kD-STR-Jarvis-2020.pdf
Driving is one of the riskiest work tasks, accounting for around one third of fatal crashes in the UK. Organisations are expected to manage work-related road safety (WRRS) in the same way that they manage other health and safety risks. The Health and
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::11b1bf944d86ab7da7a972f8d73d519f
https://doi.org/10.58446/thco7462
https://doi.org/10.58446/thco7462
Publikováno v:
Accident Analysis & Prevention. 79:221-230
This study examined directly the impact of various factors associated with driving on 'A-class' roads in the United Kingdom (specifically length of platoon, proportion of heavy goods vehicles (HGVs), speed and opportunities for overtaking) on self-re