Zobrazeno 1 - 10
of 14
pro vyhledávání: '"Junyu Hang"'
Publikováno v:
Energies, Vol 17, Iss 23, p 5938 (2024)
This paper delves into the effects of a toroidal propeller’s geometrical characteristics on its thrust and efficiency. The focus is on three distinct numerical distributions: the outward inclination angle, the pitch angle, and the number of blades.
Externí odkaz:
https://doaj.org/article/5da36d9d2f76453f9a04a6248326f1c1
Publikováno v:
Sensors, Vol 24, Iss 1, p 137 (2023)
The rapid growth in the number of electric bicycles (e-bicycles) has greatly improved daily commuting for residents, but it has also increased traffic collisions involving e-bicycles. This study aims to develop an autonomous emergency braking (AEB) s
Externí odkaz:
https://doaj.org/article/50a156af2c2e45038cdbae5b770817ea
Publikováno v:
IET Intelligent Transport Systems, Vol 16, Iss 4, Pp 504-530 (2022)
Abstract Work zones have critical effects on traffic safety and efficiency. Previous researchers have developed lots of merge strategies to regulate drivers’ behaviours, which can be divided into early merge and late merge. As a special kind of lat
Externí odkaz:
https://doaj.org/article/581830867c884d8c9854fe2812f37083
Publikováno v:
Journal of Advanced Transportation, Vol 2019 (2019)
The complex environment at grade crossings and the severe collision consequences give rise to the concern of safety condition at crossings among traffic control authorities. Optimizing conventional devices and applying emerging technologies are worth
Externí odkaz:
https://doaj.org/article/275a92ccb7b548a090e3eb596ceb20e7
Publikováno v:
Transportation Research Part F: Traffic Psychology and Behaviour. 95:297-321
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f403e979266929c7ab68e7e8504240d
https://doi.org/10.1016/j.trf.2023.04.004
https://doi.org/10.1016/j.trf.2023.04.004
Publikováno v:
IET Intelligent Transport Systems. 16:504-530
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::48b31eaba315860edbe81bee9a006968
https://doi.org/10.1049/itr2.12155
https://doi.org/10.1049/itr2.12155
Publikováno v:
Transportation Letters. 14:28-38
The problem of modelling the lane-changing process in work zone areas is important. This study proposed a multistage analytic model based on driving simulator experiment. Several scenarios under different traffic volumes and lane-ends sign positions
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2cf98fb0edd3501731694dde69b67302
https://doi.org/10.1080/19427867.2020.1808368
https://doi.org/10.1080/19427867.2020.1808368
Publikováno v:
Transportation Research Part F: Traffic Psychology and Behaviour. 71:31-48
Work zones affect traffic safety and efficiency by changing the road condition and drivers’ maneuver. Therefore, it is important to fully understand drivers’ merging behavior in work zone related areas. In this study, a model framework composed o
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ae607eeb3bb57b7eaf2855123be16bd
https://doi.org/10.1016/j.trf.2020.03.017
https://doi.org/10.1016/j.trf.2020.03.017
Publikováno v:
Accident; analysis and prevention. 174
Work zone area on roads is a critical component of road networks which concerns the safety of workers and passing by drivers. However, the passive speed reduction and lane changes caused by lane closure have led to frequent rear-end collisions in wor
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::58cfafec500f415e67f6afbbd771d5c7
https://pubmed.ncbi.nlm.nih.gov/35820314
https://pubmed.ncbi.nlm.nih.gov/35820314
Publikováno v:
Journal of safety research. 80
To assist drivers in avoiding rear-end collisions, many early warning systems have been developed up to date. Autonomous braking technology is also used as the last defense to ensure driver's safety.By taking the accuracy and timeliness of automatic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6bed3bbc8f124f136e944cf85149c48
https://pubmed.ncbi.nlm.nih.gov/35249623
https://pubmed.ncbi.nlm.nih.gov/35249623