Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Shouming Qi"'
Publikováno v:
Applied Sciences, Vol 14, Iss 17, p 7824 (2024)
High-precision and rapid detection of apparent defects in subway tunnel linings is crucial for ensuring the structural integrity of tunnels and the safety of train operations. However, current methods often do not adequately account for the spatial c
Externí odkaz:
https://doaj.org/article/f75e325d274e43d59821825bff64adf3
Publikováno v:
Applied Sciences, Vol 14, Iss 12, p 5086 (2024)
As vehicles with high accident and casualty rates within the road transportation system, engineering vehicles have been receiving much attention and emphasis in terms of safety. Accurate analyses and evaluations of risk factors in vehicle operation a
Externí odkaz:
https://doaj.org/article/9db25f090af94c7c81ae2f901642ca05
Publikováno v:
IEEE Access, Vol 11, Pp 42180-42190 (2023)
Cognitive workload is an internal factor that can be influenced by external factors. When drivers are distracted by these internal and external influences, their ability to drive safely can be compromised. Electroencephalogram (EEG) is a non-invasive
Externí odkaz:
https://doaj.org/article/913af2aa4519449da2865d105e33c49c
Publikováno v:
Frontiers in Psychology, Vol 14 (2023)
Driver’s cognitive workload has an important impact on driving safety. This paper carries out an on-road experiment to analyse the impact from three innovative aspects: significance analysis of electroencephalogram (EEG) under different cognitive w
Externí odkaz:
https://doaj.org/article/cb17b57fa61e47f3a1ec4f131172fba0
Publikováno v:
IEEE Access, Vol 7, Pp 135050-135062 (2019)
In this work, we utilize a dynamic Bayesian network for an inferential analysis of driving-related risks based on our assessment of real-world driving data. On-road driving tests are carried out to gather and analyze data to identify different evalua
Externí odkaz:
https://doaj.org/article/e19a3a5a8e7c4c49a1efe25db6175146
Publikováno v:
Polish Journal of Environmental Studies. 31:2435-2450
Data-Driven Analysis of Fatal Urban Traffic Accident Characteristics and Safety Enhancement Research
Publikováno v:
Sustainability
Volume 15
Issue 4
Pages: 3259
Volume 15
Issue 4
Pages: 3259
The occurrence of fatal traffic accidents often causes serious casualties and property losses, endangering travel safety. This work uses the statistical data of fatal road traffic accidents in Shenzhen from 2018 to 2022 as the basis to determine the
Publikováno v:
Transportation Research Part A: Policy and Practice. 152:216-234
As an emerging technology that does not rely on the construction of several parking facilities and effectively relieves the pressure of urban parking, shared parking is widely promoted. However, users may turn to conventional parking mode because of
Publikováno v:
Transportation Research Part F: Traffic Psychology and Behaviour. 77:10-25
Automated Vehicles (AVs) are being developed rapidly and tested on public roads, but pedestrians’ interaction with AV is not comprehensively understood or thoroughly investigated to ensure safe operations and the public’s trust of AVs. In this st
Publikováno v:
Journal of Transportation Safety & Security. 14:232-255
IVIS (In-vehicle Information System) is an important factor causing driver distraction. To study the driver distraction detection method when operating IVIS, the effectiveness of driving performanc...