Zobrazeno 1 - 10
of 87
pro vyhledávání: '"Phil Blythe"'
Publikováno v:
IET Intelligent Transport Systems, Vol 18, Iss 7, Pp 1237-1258 (2024)
Abstract Autonomous vehicles (AVs) present a paradigm shift in addressing conventional parking challenges. Unlike human‐driven vehicles, AVs can strategically park or cruise until summoned by users. Utilizing utility theory, the parking decision‐
Externí odkaz:
https://doaj.org/article/f4ae8cfbce7440769e87dbc884d21f86
Publikováno v:
Resilient Cities and Structures, Vol 2, Iss 2, Pp 24-41 (2023)
Extreme weather conditions can adversely impact transport networks and driver behaviour, leading to variations in traffic volumes and travel times and increased accident rates. Emergency services that need to navigate to an accident site in the short
Externí odkaz:
https://doaj.org/article/8bec2dd191bf44d6acba90005458c3cc
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-11 (2023)
Abstract The vehicle emissions testing programme was conducted by the UK Department of Transport in 2016 in response to emissions tampering exposed in the Volkswagen (VW) emissions scandal. The programme identified large emissions discrepancies betwe
Externí odkaz:
https://doaj.org/article/09ad3b48d12f4d61beb98c218fa653e2
Autor:
Shuo Li, Kirsty Milligan, Phil Blythe, Yanghanzi Zhang, Simon Edwards, Nic Palmarini, Lynne Corner, Yanjie Ji, Fan Zhang, Anil Namdeo
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-16 (2023)
Abstract With the ever-pressing challenges of societal ageing, robotic technologies for older people are increasingly portrayed as a solution for better independent living for longer. However, the application of human-following robots for elderly cit
Externí odkaz:
https://doaj.org/article/d0d4974d38084f82bb8040af3ceda861
Publikováno v:
iScience, Vol 26, Iss 10, Pp 107737- (2023)
Summary: This paper presents a data-driven methodology combining simulation and multi-objective optimization to efficiently implement transportation policy commitments, using as a case study the electric vehicle (EV) charging infrastructure in Newcas
Externí odkaz:
https://doaj.org/article/58c930c15f3b4abbb3888e488db8bb35
Publikováno v:
IEEE Access, Vol 11, Pp 43759-43777 (2023)
Air pollution reduction is a major objective for transport policy makers. This paper considers interventions in the form of clean air zones, and provide a machine learning approach to assess whether the objectives of the policy are achieved under the
Externí odkaz:
https://doaj.org/article/b8133a25b8f04b128b502fece58e24d8
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-12 (2022)
Abstract Cost-effective on-demand computing resources can help to process the increasing number of large, diverse datasets generated from smart internet-enabled technology, such as sensors, CCTV cameras, and mobile devices, with high temporal resolut
Externí odkaz:
https://doaj.org/article/d16fb16ce9064e1d9e46603d336514d7
Autor:
Shuo Li, Phil Blythe, Yanghanzi Zhang, Simon Edwards, Weihong Guo, Yanjie Ji, Paul Goodman, Graeme Hill, Anil Namdeo
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract The emergence of the level 3 automated vehicles (L3 AVs) can enable drivers to be completely disengaged from driving and safely perform other non-driving related tasks, but sometimes their takeover of control of the vehicle is required. The
Externí odkaz:
https://doaj.org/article/ebe3e5953e8d4eacbafe08b8d858a509
Publikováno v:
Journal of Transport and Land Use, Vol 11, Iss 1 (2018)
The adoption of the Paris Agreement has committed the world to limiting anthropogenic climate change to 2°C above preindustrial levels, adapting to climate risks, and fostering climate resilience. Given the high proportion of global emissions releas
Externí odkaz:
https://doaj.org/article/d4d19c1383cc40c3bd161103b72f721d
Publikováno v:
Transportation Research Part A: Policy and Practice. 162:253-266
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2111b8cefa6277b4eba57e67fd9bca76
https://doi.org/10.1016/j.tra.2022.06.001
https://doi.org/10.1016/j.tra.2022.06.001