Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Zhaoze Xuan"'
Publikováno v:
Frontiers in Physics, Vol 12 (2024)
Introduction: The rise of autonomous vehicles has brought about a transformative shift in transportation, witnessing the coexistence of human-driven and autonomous vehicles on highways in the United States, Europe, and China. This coexistence poses c
Externí odkaz:
https://doaj.org/article/3d5ab7952b714761a3a736a8546d3733
Autor:
Yi Li, Zhaoze Xuan
Publikováno v:
Systems, Vol 11, Iss 9, p 475 (2023)
Highways are one of the most suitable scenarios for automated driving technology. For conditionally automated driving, drivers are required to take over the vehicle when the system reaches its boundary. Therefore, it is necessary to evaluate the driv
Externí odkaz:
https://doaj.org/article/d42bbe90b6484536abe2ee2276c6b012
Publikováno v:
Applied Sciences, Vol 12, Iss 21, p 11130 (2022)
In this paper, a gated recurrent unit–deep neural network (GRU-DNN) model integrated with multimodal feature embedding (MFE) is developed to evaluate the real-time risk of hazmat road transportation based on various types of data for contributing f
Externí odkaz:
https://doaj.org/article/0449d7c259944faaa4151c9bc9229bf8
Publikováno v:
International Journal of Environmental Research and Public Health
Volume 20
Issue 4
Pages: 3066
Volume 20
Issue 4
Pages: 3066
This paper models and mitigates the secondary crash (SC) risk for serial tunnels on the freeway which is incurred by traffic turbulence after primary crash (PC) occurrence and location-heterogeneous lighting conditions along serial tunnels. A traffic
Publikováno v:
Sustainability; Volume 15; Issue 10; Pages: 7942
This study focuses on identifying accident-prone areas and analyzing the factors contributing to the distribution of traffic accidents near highway ramps. A combined method of kernel density estimation, spatial autocorrelation analysis, and multivari