Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Real-time traffic flow distribution prediction system based on road section OD backstepping

A distributed forecasting and real-time traffic technology, applied in the field of intelligent transportation, can solve problems such as in- and out-of-forecast results, difficulty in reflecting real-time traffic flow status, short-term traffic flow forecasting, large time and capital investment, etc., to reduce costs and solve real-time traffic allocation The effect of predicting the problem

Active Publication Date: 2014-12-03
SUN YAT SEN UNIV
View PDF6 Cites 33 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

First of all, traffic investigation with a large sample size requires a lot of time and capital investment; secondly, different scopes and bases for dividing traffic areas will lead to inaccurate forecasts, and the forecast of traffic areas cannot be reasonably matched with the traffic road network. The actual situation is somewhat different; third, it is difficult to reflect the real-time traffic flow status and make more accurate short-term traffic flow forecasts based on static surveys and forecasts

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
  • Real-time traffic flow distribution prediction system based on road section OD backstepping
  • Real-time traffic flow distribution prediction system based on road section OD backstepping
  • Real-time traffic flow distribution prediction system based on road section OD backstepping

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0019] The present invention will be further described below in conjunction with the accompanying drawings.

[0020] The technical process of the present invention is as attached figure 1 As shown, it includes four steps: division of traffic zones based on road sections, construction of database, real-time OD traffic volume prediction, and real-time traffic flow allocation.

[0021] 1.1. Traffic area division based on road sections:

[0022] The unit of the traditional traffic four-stage model is the traffic district. The present invention replaces the road section with the traffic district as the unit of the four-stage model. For the road sections in the entire area, the regional road network is interrupted according to the principle of interruption when there is an intersection. Sections of small units. Change the traffic area to be based on road segments, so as to serve the subsequent OD back-estimation and traffic allocation. The specific algorithm flow is as follows: ...

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 a real-time traffic flow distribution prediction system based on road section OD backstepping. The system is used for predicting real-time travel and absorbing traffic volume of a road section and carrying out real-time traffic flow distribution. The system has the advantages that division of current scattered traffic zones, prediction of traffic volume of the traffic zones, real-time prediction of OD traffic volume and flow distribution of the road section are systematically integrated, a traffic zone division method based on a road network and a prediction system of real-time traffic flow distribution are constructed, knowledge and technologies about travel origin-destination and traffic volume distribution are organically combined, and organic combination is achieved in the perspective of software.

Description

technical field [0001] The invention relates to the technical field of intelligent transportation, in particular to a real-time prediction system for occurrence and attraction of road network traffic. Background technique [0002] With the widespread application of intelligent transportation systems in the construction and management of smart cities and the increasing development of real-time information systems, traffic management has gradually formed the characteristics of intelligence, data, and real-time. Traffic management departments and research institutions obtain a large amount of real-time traffic data and apply it to traffic management fields such as real-time traffic conditions. A large amount of traffic information data builds a historical database to provide important data support for traffic managers and researchers. In order to carry out effective traffic management and provide accurate road traffic information for travelers, accurate traffic generation and ...

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): G08G1/00G06Q10/04
Inventor 周素红柳林杨靖芸郝新华陈建国肖露子
Owner SUN YAT SEN UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

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