Vehicle speed control method, system and device based on v2x and feedforward neural network

By using a vehicle speed control method based on V2X and feedforward neural networks, and combining traffic flow and meteorological data for feature extraction and prediction, the problems of traffic flow prediction accuracy and timely delivery of results are solved, and efficient vehicle speed suggestions and prompts are achieved.

CN117671971BActive Publication Date: 2026-05-26SHANDONG HI SPEED QINGDAO HIGHWAY +1
View PDF 2 Cites 0 Cited by

Patent Information

Authority / Receiving Office
CN · China
Patent Type
Patents(China)
Current Assignee / Owner
SHANDONG HI SPEED QINGDAO HIGHWAY
Filing Date
2023-12-01
Publication Date
2026-05-26

AI Technical Summary

Technical Problem

Current technology cannot simultaneously guarantee the accuracy of traffic flow forecasting and the timely delivery of forecast results to customers.

Method used

A vehicle speed control method based on V2X and feedforward neural network is adopted. By acquiring traffic flow data and meteorological element data of the target area, performing feature extraction, and inputting the data into the feedforward neural network model, the theoretical speed and distance of the vehicle are calculated, the recommended speed is determined, and the prompt information is sent through V2X device.

Benefits of technology

It improves the accuracy of traffic flow prediction and quickly delivers the prediction results to users through the V2X architecture, ensuring that vehicles can receive the suggested speed in time so that they can enter the toll station.

✦ Generated by Eureka AI based on patent content.

Smart Images

  • Figure CN117671971B_ABST
    Figure CN117671971B_ABST
Patent Text Reader

Abstract

This invention discloses a vehicle speed control method, system, and device based on V2X and feedforward neural networks, relating to the field of neural networks, to address the problem in existing technologies that cannot simultaneously guarantee the accuracy of traffic flow prediction and the timely delivery of prediction results to customers. The method includes acquiring traffic flow data and meteorological element data for a target area; extracting features from the acquired data to obtain traffic flow features and meteorological element features; inputting the traffic flow features and meteorological element features into a trained traffic flow prediction model to obtain the target traffic flow; calculating the theoretical speed of the target vehicle based on the target traffic flow and determining the distance between the target vehicle and the toll station; determining the suggested speed for the target vehicle to enter the toll station based on the theoretical speed and distance; and sending the suggested speed as a prompt message to the target vehicle equipped with V2X equipment. This method can simultaneously guarantee the accuracy of traffic flow prediction and the timely delivery of prediction results to customers.
Need to check novelty before this filing date? Find Prior Art