Zobrazeno 1 - 10
of 47
pro vyhledávání: '"German Castignani"'
Autor:
Emer Owens, Barry Sheehan, Martin Mullins, Martin Cunneen, German Castignani, Leandro Masello
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 28, Iss , Pp 101283- (2024)
Climate change, emissions and carbon–neutral city goals have increased the focus on developing a more diverse socio-environmentally friendly transportation ecosystem. Modern personal mobility incorporates the use of multiple modes of transport per
Externí odkaz:
https://doaj.org/article/5ea6043adbfa4b5a8f603709870efded
Publikováno v:
Transportation Research Interdisciplinary Perspectives, Vol 15, Iss , Pp 100670- (2022)
Advanced Driver Assistance Systems (ADAS) have introduced several benefits in the vehicular industry, and their proliferation presents potential opportunities to decrease road accidents. The reasons are mainly attributed to the enhanced perception of
Externí odkaz:
https://doaj.org/article/226211df55814863a16f093c22cc173b
Publikováno v:
Risks, Vol 10, Iss 12, p 230 (2022)
Explainable Artificial Intelligence (XAI) models allow for a more transparent and understandable relationship between humans and machines. The insurance industry represents a fundamental opportunity to demonstrate the potential of XAI, with the indus
Externí odkaz:
https://doaj.org/article/781867c6b9774ad9ba0a8aef46d3b5e0
Autor:
Kevin McDonnell, Finbarr Murphy, Barry Sheehan, Leandro Masello, German Castignani, Cian Ryan
Publikováno v:
Sensors, Vol 21, Iss 10, p 3517 (2021)
A telematics device is a vehicle instrument that comes preinstalled by the vehicle manufacturer or can be added later. The device records information about driving behavior, including speed, acceleration, and turning force. When connected to vehicle
Externí odkaz:
https://doaj.org/article/2fd2d82db1c743f688a36b65f7746472
Generalized Linear Models (GLMs) and XGBoost are widely used in insurance risk pricing and claims prediction, with GLMs dominant in the insurance industry. The increasing prevalence of connected car data usage in insurance requires highly accurate an
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0b7ef070630b9a4a6ab739e1389a7681
Autor:
Leandro Masello, Barry Sheehan, Finbarr Murphy, German Castignani, Kevin McDonnell, Cian Ryan
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. 2676:161-193
The increasing accessibility of mobility datasets has enabled research in green mobility, road safety, vehicular automation, and transportation planning and optimization. Many stakeholders have leveraged vehicular datasets to study conventional drivi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::c082650bff9663de9b78610070d4a579
https://doi.org/10.1177/03611981211057532
https://doi.org/10.1177/03611981211057532
Publikováno v:
Accident Analysis & Prevention. 184:106997
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6c0fdb7ebc48d323365f5b1a69f62b1c
https://doi.org/10.1016/j.aap.2023.106997
https://doi.org/10.1016/j.aap.2023.106997
The continuous increase of connectivity in commercial vehicles is leading to a higher number of remote access points to the Controller Area Network (CAN) – the most popular in-vehicle network system. This factor, coupled with the absence of encrypt
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::13af19921b81587418fd740ab4954d55
http://orbilu.uni.lu/handle/10993/50606
http://orbilu.uni.lu/handle/10993/50606
Modern connected vehicles are equipped with a large number of sensors, which enable a wide range of services that can improve overall traffic safety and efficiency. However, remote access to connected vehicles also introduces new security issues affe
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::3ad448f185a45883134f782bd7bc3740
http://orbilu.uni.lu/handle/10993/48391
http://orbilu.uni.lu/handle/10993/48391
Autor:
Alessio Buscemi, Ion Turcanu, German Castignani, Andriy Panchenko, Thomas Engel, Kang G. Shin
Publikováno v:
IEEE Communications Surveys & Tutorials. :1-1
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::db3e0599429c5a6252110da1776ba90e
https://doi.org/10.1109/comst.2023.3264928
https://doi.org/10.1109/comst.2023.3264928