Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Junda Zhai"'
Publikováno v:
Green Energy and Intelligent Transportation, Vol 3, Iss 2, Pp 100159- (2024)
Improving the capacity of intersections is the key to enhancing road traffic systems. Benefiting from the application of Connected Automated Vehicles (CAVs) in the foreseeing future, it is promising to fully utilize spatiotemporal resources at inters
Externí odkaz:
https://doaj.org/article/afa5db435a0a45499f6cb763e130fb3e
Publikováno v:
Transportation Research Part F: Traffic Psychology and Behaviour. 82:96-110
Mixed control by driver and automated system will remain in use for decades until fully automated driving is perfected. Thus, drivers must be able to accurately regain control of vehicles in a timely manner when the automated system sends a takeover
Publikováno v:
2022 IEEE 25th International Conference on Intelligent Transportation Systems (ITSC).
Publikováno v:
Transportation Research Part F: Traffic Psychology and Behaviour. 81:65-81
With level 3 automated vehicles poised to appear on the roads soon, takeover remains a major challenge. At present, the effect of manual driving experience on takeover performance is unknown. Therefore, a simulator study was conducted to investigate
Publikováno v:
SSRN Electronic Journal.
Publikováno v:
International Conference on Transportation and Development 2020.
Publikováno v:
International Conference on Transportation and Development 2020.
Publikováno v:
Accident Analysis & Prevention. 157:106156
The takeover process in level 3 automated driving determines the controllability of the functions of automated vehicles and thereby traffic safety. In this study, we attempted to explain drivers’ takeover performance variation in a level 3 automate
Autor:
Guangquan Lu, Junda Zhai
Publikováno v:
CICTP 2019.
Autor:
Guangquan Lu, Junda Zhai
Publikováno v:
CICTP 2018.