A road network data generation method and device, a server, and a storage medium

By processing initial traffic data using a genetic algorithm, high-precision road network data is generated, solving the problem of time-consuming and labor-intensive OpenDrive data generation in existing technologies, and achieving efficient and accurate data generation and rapid response capabilities.

CN122389253APending Publication Date: 2026-07-14APTIV ELECTRONICS (SUZHOU) CO LTD
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Patent Information

Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
APTIV ELECTRONICS (SUZHOU) CO LTD
Filing Date
2025-01-14
Publication Date
2026-07-14

AI Technical Summary

Technical Problem

The existing technology for generating OpenDrive data relies on tedious manual on-site surveys, which is time-consuming and labor-intensive, and cannot efficiently process massive amounts of raw data. Furthermore, the generated data is linear and static, making it difficult to quickly respond to changes or adapt to new situations.

Method used

Genetic algorithms are used to process initial traffic data. Initial nodes are generated through data preprocessing and feature selection. Paths are constructed using a target neural network to generate high-precision road network data.

Benefits of technology

It enables the efficient and accurate generation of high-precision road network data, reducing time and manpower costs, and allowing for rapid response to changes and adaptation to new situations.

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Abstract

The application provides a road network data generation method and device, a server and a storage medium. The method comprises the following steps: obtaining initial traffic data of a target area; performing data preprocessing on the initial traffic data to obtain target traffic data; generating initial nodes according to the target traffic data; selecting target nodes by performing feature selection on the initial nodes; determining target paths between the target nodes, and taking the target paths as a target neural network; and processing the target traffic data by using the target neural network to obtain road network data. Based on the above method, high-precision road network data can be generated based on a large amount of initial traffic data, and the accuracy and efficiency of generating road network data are improved.
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