Zobrazeno 1 - 6
of 6
pro vyhledávání: '"Yuanchun Lan"'
Publikováno v:
Complex & Intelligent Systems, Vol 10, Iss 3, Pp 3305-3317 (2024)
Abstract Accurate prediction of traffic flow is essential for optimizing transportation resource allocation and enhancing urban mobility efficiency. However, traffic data generated daily are vast and complex, involving dynamic and intricate changes i
Externí odkaz:
https://doaj.org/article/30aa453facde4dfb81bfacb4ef1d95db
Publikováno v:
Scientific Reports, Vol 13, Iss 1, Pp 1-15 (2023)
Abstract Accurate traffic flow prediction information can help traffic managers and drivers make more rational decisions and choices. To make an effective and accurate traffic flow prediction, we need to consider not only the spatio-temporal dependen
Externí odkaz:
https://doaj.org/article/392517aa532a4a0880a10b2fd4a3c54d
Publikováno v:
Frontiers in Earth Science, Vol 11 (2023)
The Early Paleozoic tectonic evolution of the South China Block (SCB) remains controversial related to intracontinental orogenic and oceanic subduction processes. We present whole-rock major and trace elemental data, LA-ICP-MS zircon U-Pb age and Lu-
Externí odkaz:
https://doaj.org/article/6e77ec725892480f871cc192d6613e8d
Publikováno v:
Sensors, Vol 23, Iss 2, p 841 (2023)
The spatial–temporal prediction of traffic flow is very important for traffic management and planning. The most difficult challenges of traffic flow prediction are the temporal feature extraction and the spatial correlation extraction of nodes. Due
Externí odkaz:
https://doaj.org/article/6a38b8e9e580466da81b651dc1e28d54
Publikováno v:
Electronics; Volume 12; Issue 1; Pages: 238
Traffic flow forecasting, as one of the important components of intelligent transport systems (ITS), plays an indispensable role in a wide range of applications such as traffic management and city planning. However, complex spatial dependencies and d
Publikováno v:
Electronics; Volume 11; Issue 19; Pages: 3012
In recent years, traffic flow forecasting has attracted the great attention of many researchers with increasing traffic congestion in metropolises. As a hot topic in the field of intelligent city computing, traffic flow forecasting plays a vital role