Roadside equipment clock accuracy test method and system based on floating vehicle
A technology of roadside equipment and inspection method, which is applied to the traffic control system of road vehicles, service based on location information, service based on specific environment, etc. The effect of accuracy and stability
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Embodiment 1
[0046] The method process of the present invention is as figure 1 shown, including:
[0047] 1. Prepare the input data for realizing the technical solution.
[0048] This program needs to use input data from three sources: 1) basic data, 2) spatio-temporal data collected by the GPS equipment of the floating vehicle (data set V), and 3) observation data of vehicles by roadside equipment (data set G).
[0049] Basic data includes basic information of roadside equipment and vehicles, such as:
[0050] Roadside equipment number, the unique number used to identify roadside equipment;
[0051] Roadside equipment spatial location information, at least including longitude and latitude information;
[0052] Vehicle basic information, such as: vehicle identification information (such as license plate), model, color, etc.
[0053] Floating car data (represented as data set V) describes the vehicle spatial position records collected by the vehicle GPS device at a fixed frequency withi...
Embodiment 2
[0132] This case is carried out based on the highway network in Jiangsu and its roadside equipment. The total mileage of the case study area is about 4084 kilometers, including 1316 roadside equipment. Floating vehicles are expressway obstacle removal vehicles, sweeping vehicles, and patrol police vehicles. All vehicles are equipped with GPS positioning systems, and their position and movement information are reported to the system in real time.
[0133] The implementation of this case is based on the development and implementation of a private cloud environment. The host hardware environment is: 1) Intel(R) Xeon(R) Gold5218R x 2CPU; 2) 256GB memory; 3) 1Tb SSD+16Tb HDD. The virtual host used for data processing and analysis is configured with 40 cores and 128Gb memory. The system platform is Ubuntu 18.04LTS. The analysis software platform is JupyterLab. The analysis uses python 3.7. Third-party tools include: numpy, pandas, sklearn, matplotlib, etc.
[0134] The implementatio...
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