Intelligent highway traffic flow prediction method based on continuous monitor

A technology of traffic flow and prediction method, applied in traffic flow detection, traffic control system of road vehicles, prediction and other directions, can solve the problem that the network model cannot be parallelized on a large scale, etc., to improve computing efficiency, improve overall robustness, Stable effect of training process

Pending Publication Date: 2022-03-01
JIANGSU SINOROAD ENG TECH RES INST CO LTD
View PDF4 Cites 1 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Therefore, the network model with a cyclic structure cannot perform large-scale parallel com

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Intelligent highway traffic flow prediction method based on continuous monitor
  • Intelligent highway traffic flow prediction method based on continuous monitor
  • Intelligent highway traffic flow prediction method based on continuous monitor

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0090] Refer to attached Figure 1-Figure 3 As shown, wherein, source data is the original observation statistical data, train data is the fitting data that uses the model of the present invention to train the learning stage, and test data is the data that uses the model of the present invention to predict unknown data, and for the prediction stage, test data and The higher the fitting degree of source data, the stronger the generalization ability of the model. figure 2 The 60min time interval in the middle indicates that each data time step is 60min, image 3 The 15min time interval in the middle indicates that each data time step is 15min.

[0091] A kind of intelligent high-speed traffic flow prediction method based on the continuous monitor of the present embodiment, the method comprises the following steps:

[0092] S1, collecting real-time traffic flow data of m expressway detectors;

[0093] S2, preprocessing the collected data;

[0094] S3, performing feature engi...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses an intelligent high-speed traffic flow prediction method based on a continuous monitor, and belongs to the technical field of traffic flow prediction. An expressway portal frame collects real-time traffic flow data, a feature project is established for historical flow data to obtain multi-dimensional features, feature selection is performed through linear and nonlinear methods, a TCN + GBDT-based network model is established, and the real-time traffic flow data is obtained. Historical big data is used for training, and the model can predict the traffic flow at the next time interval. Compared with a traditional model driving method, a pure sequence feature-based neural network method, a single RNN-type neural network-based method and the like, the method has the advantage that the prediction precision is improved.

Description

technical field [0001] The invention belongs to the technical field of traffic flow forecasting, and more specifically relates to an intelligent high-speed traffic flow forecasting method based on a continuous monitor. Background technique [0002] With the improvement of traffic intelligence level and the rapid development of big data and artificial intelligence technology, timely and effective acquisition of real-time traffic flow data has become a reality. Massive historical data provides a solid data foundation for traffic flow forecasting. In order to give full play to The role of intelligent transportation equipment and the maximum use of massive historical data to better serve traffic management and control, many experts and scholars have carried out a lot of research in the field of traffic flow forecasting. [0003] In previous studies, there are two main modes of traffic flow forecasting models: model-driven and data-driven. [0004] Model-driven is also called pa...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): G08G1/01G08G1/048G06N3/04G06N3/08G06N20/00G06Q10/04G06Q50/30
CPCG08G1/0125G08G1/0137G08G1/048G06Q10/04G06Q50/30G06N3/08G06N20/00G06N3/045
Inventor 杨阳张志祥刘强关永胜
Owner JIANGSU SINOROAD ENG TECH RES INST CO LTD
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap