Zobrazeno 1 - 10
of 38
pro vyhledávání: '"Yishun Li"'
Publikováno v:
International Journal of Transportation Science and Technology, Vol 14, Iss , Pp 73-86 (2024)
Vehicle model recognition (VMR) benefits the parking, surveillance, and tolling system by automatically identifying the exact make and model of the passing vehicles. Edge computing technology enables the roadside facilities and mobile cameras to achc
Externí odkaz:
https://doaj.org/article/0534a36fc60440c0bec57756b7106b7c
Publikováno v:
Applied Sciences, Vol 13, Iss 14, p 8080 (2023)
Pavement roughness serves as a crucial indicator for evaluating road performance. However, traditional measurement methods, such as laser detection vehicles, are limited to providing roughness values for a single profile, failing to capture the overa
Externí odkaz:
https://doaj.org/article/b1310710f5cb428899a05839df0fbc62
Publikováno v:
Applied Sciences, Vol 12, Iss 22, p 11855 (2022)
Pavement condition prediction plays a vital role in pavement maintenance. Many prediction models and analyses have been conducted based on long-term pavement condition data. However, the condition evaluation for road sections can hardly support daily
Externí odkaz:
https://doaj.org/article/25b5695283a64f93a34a25e013fafd4b
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:
Applied Sciences, Vol 12, Iss 21, p 10896 (2022)
Deep learning has significantly improved the recognition efficiency and accuracy of ground-penetrating radar (GPR) images. A significant number of weight parameters need to be specified, which requires lots of labeled GPR images. However, obtaining t
Externí odkaz:
https://doaj.org/article/45644ec7e4594694b3268c9ea6d3d783
Publikováno v:
Journal of Advanced Transportation, Vol 2021 (2021)
This study presents an approach of simulation-based optimization to the operation of the toll plaza at the car park exit. We first propose a simulation model, as the representation of the queueing system for the toll plaza with mixed-type customers a
Externí odkaz:
https://doaj.org/article/c96202fbc0774b5e9f8b990852234da2
Publikováno v:
Journal of Advanced Transportation, Vol 2021 (2021)
The new generation of smart highway (NGSH) has become an irresistible global trend to improve transport efficiency and safety. The exploration of the features and framework for NGSH can guide us to upgrade the current highway system. This paper summa
Externí odkaz:
https://doaj.org/article/db627ab111044338988038110a5e5aaa
Autor:
Xun Yang, Shanchuan Yu, Jun Wang, Hong Chen, Yonggang Huang, Zhongbin Luo, Lijia Fu, Xin Huang, Yi Li, Yishun Li, Rencan Nie
Publikováno v:
Frontiers in Physics; 2024, p01-20, 20p
Publikováno v:
Applied Sciences; Volume 13; Issue 14; Pages: 8080
Pavement roughness serves as a crucial indicator for evaluating road performance. However, traditional measurement methods, such as laser detection vehicles, are limited to providing roughness values for a single profile, failing to capture the overa
Publikováno v:
IEEE Transactions on Intelligent Transportation Systems. 23:25004-25017