A Beidou-based traffic perception method for urban large-area road network
An urban road network and large-area technology, applied in the field of urban large-area road network traffic perception based on Beidou, can solve problems such as poor effect and inability to accurately locate vehicles
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment Construction
[0071] Below, the present invention will be further described in conjunction with the accompanying drawings and specific embodiments.
[0072] Such as figure 1 As shown, a Beidou-based urban large-area road network traffic perception method includes the following steps:
[0073] S1. Build a Beidou data preprocessing model to obtain the dynamic parameters of all Beidou floating vehicles in the urban road network, including time, coordinates and direction angle data, and effectively filter abnormal data (such as vehicle parking) to exclude abnormal data.
[0074] S11, Beidou floating vehicle travel speed preprocessing
[0075] The reasonable range of defining the travel speed v of the Beidou floating vehicle is: 1≤v≤f*v max , where f is the correction coefficient, v max is the maximum vehicle speed allowed by the road (km / h);
[0076] v = d ab t b ...
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