Zobrazeno 1 - 10
of 49
pro vyhledávání: '"Yuanhua Jia"'
Publikováno v:
Tehnički Vjesnik, Vol 30, Iss 5, Pp 1554-1566 (2023)
Aiming at the layout planning of electric vehicle (EV) charging facilities on highways, this study builds a multi-objective optimization model with the minimum construction cost of charging facilities, minimum access cost to the grid, minimum operati
Externí odkaz:
https://doaj.org/article/3a4c91ff84d34012b2d1e67874c0842e
Publikováno v:
IEEE Access, Vol 8, Pp 217848-217866 (2020)
With the development of the economy, the prediction of expressway project costs has gained increasing research attention. In this study, based on the convolution neural network (CNN) algorithm, the prediction of the expressway construction cost was a
Externí odkaz:
https://doaj.org/article/da786687330e4f62a0393da37b1677a2
Autor:
Liang Zhao, Yuanhua Jia
Publikováno v:
Complexity, Vol 2021 (2021)
As people’s lives get better and better, more and more people choose to travel and with that comes the demand for more transportation. For now, traditional transportation hubs can temporarily meet people’s travel needs. If driven by big data conc
Externí odkaz:
https://doaj.org/article/66357d3bf5af42b1829159f0b98c6694
Publikováno v:
IEEE Access, Vol 8, Pp 217848-217866 (2020)
With the development of the economy, the prediction of expressway project costs has gained increasing research attention. In this study, based on the convolution neural network (CNN) algorithm, the prediction of the expressway construction cost was a
Autor:
Liang Zhao, Yuanhua Jia
Publikováno v:
Journal of Urban Planning and Development. 147
This study aims to propose a comprehensive evaluation index for the economy and integrated transportation system of metropolitan areas to analyze the interactive correlations between them ...
Publikováno v:
Transportation Research Record: Journal of the Transportation Research Board. :036119812211375
This study focuses on the economic benefits of railway transportation from the aspect of data mining using convolution neural network (CNN), long short-term memory (LSTM), and multiple linear regression (MLRA) models. Improved CNN and LSTM (CNN-LSTM)
Publikováno v:
Intelligent Decision Technologies. 12:483-490
Publikováno v:
Periodica Polytechnica Transportation Engineering. 46:135-141
This study presents a fuzzy Bayesian network (FBN) method to analyze the influence on the safety risk of railway passenger transport applying different risk control strategies. Based on the fuzzy probability of the basic event determined by the exper
Autor:
Jiang Wu, Yuanhua Jia
Publikováno v:
2019 IEEE 1st International Conference on Civil Aviation Safety and Information Technology (ICCASIT).
The prize-collecting location and routing problem (PCLRP) is a new variant of the location-routing problem (LRP), which considers the profit that can be obtained by visiting each demand node. In this research, the PCLRP is applied to the planning of
Publikováno v:
Sustainability, Vol 11, Iss 7, p 1925 (2019)
Sustainability
Volume 11
Issue 7
Sustainability
Volume 11
Issue 7
Road traffic injury is currently the leading cause of death among children and young adults aged 5&ndash
29 years all over the world. Measures must be taken to avoid accidents and promote the sustainability of road safety. The current study aime
29 years all over the world. Measures must be taken to avoid accidents and promote the sustainability of road safety. The current study aime