Urban passing vehicle prediction method and system

A forecasting method and vehicle technology, applied in forecasting, complex mathematical operations, instruments, etc., can solve problems such as traffic accidents, environmental pollution, and difficulty

Inactive Publication Date: 2019-11-22
HENAN UNIV OF URBAN CONSTR
View PDF0 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The direct problems caused by traffic jams are: fuel consumption, environmental pollution, increasing people's travel time, and even causing traffic chaos and causing traffic accidents
[0003] In my country, in recent years, with the sustained and stable development of the national economy and the accelera...

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
  • Urban passing vehicle prediction method and system
  • Urban passing vehicle prediction method and system
  • Urban passing vehicle prediction method and system

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0067] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0068] The purpose of the present invention is to provide a city passing vehicle prediction method to improve the city passing vehicle prediction accuracy

[0069] In order to make the above objects, features and advantages of the present invention more comprehensible, the present invention will be further described in detail below in conjunction with the accompanying drawings and specific embodiments.

[0070] figure 1 The flow chart of the city passing vehi...

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 urban passing vehicle prediction method and system. The method comprises the following steps: acquiring hybrid vehicle vibration signals of set detection points and set continuous time periods in a city to be detected; carrying out filtering and denoising; carrying out blind source separation on the denoised hybrid vehicle vibration signal by adopting an adaptive gradient algorithm; carrying out empirical mode decomposition and normalization processing; adopting a least square support vector machine method to perform classification; and performing prediction by usinga least square support vector machine method to obtain data of different types of vehicles passing through the next time period of the set continuous time period. According to the method, blind source separation is carried out by adopting an adaptive gradient algorithm; and the adaptive gradient algorithm has the characteristics of high convergence rate and good separation performance, so that after the denoised hybrid vehicle vibration signals are subjected to blind source separation, the obtained vibration signals of different vibration types are more accurate, and the prediction precisionof vehicles passing through set detection points of a city to be detected is improved.

Description

technical field [0001] The invention relates to the technical field of urban intelligent traffic planning and management, in particular to a method and system for predicting vehicles passing through the city. Background technique [0002] With the development of the economy and the development of the smart city process, people's requirements for the intelligent transportation of the city are also increasing. With the development of the economy, the number of motor vehicles in my country has exceeded 280 million, and the number of private cars has exceeded 124 million. This has brought enormous pressure to urban traffic. The increase in urban population and vehicles has become the main cause of urban traffic congestion. The direct problems caused by traffic jams are: fuel consumption, environmental pollution, increasing people's travel time, and even causing traffic chaos and causing traffic accidents. According to the statistics of relevant agencies, the economic losses dir...

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): G06F17/16G06F17/18G06K9/62G06Q10/04G06Q50/30
CPCG06F17/16G06F17/18G06Q10/04G06Q50/30G06F18/21
Inventor 贺伟吴迪李博刘晓芳赵红梅王丹阳龚恒达周亚强郭彪鹿旭升崔红婕黄子健吴敏张仔龙
Owner HENAN UNIV OF URBAN CONSTR
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