Full traffic prediction method based on dual graph framework
A technology of traffic forecasting and dual graphs, applied in forecasting, instrumentation, data processing applications, etc., can solve problems such as lack of edge forecasting results, and achieve the effect of facilitating traffic flow and good forecasting accuracy
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0052] The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It should be noted that the following embodiments are intended to facilitate the understanding of the present invention, but do not limit it in any way.
[0053] Such as figure 1 As shown, a full traffic prediction method based on the dual graph framework, including the following steps:
[0054] Step 1, preparatory work: prepare the road network topology map and data. The road network topology graph is an unweighted directed graph. The data is divided into historical edge and node data, and future edge and node data are also included in the training phase.
[0055] Step 2, historical information encoder (Encoder): input historical data into the encoder. Inside the encoder, the feature update of edges and nodes is realized through multi-layer dual mapping. Inside each dual map, the interaction rules between nodes and edges are modeled through t...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com