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

A data-driven distributed area control method for traffic road network

A regional control and data-driven technology, applied in traffic signal control, traffic flow detection, etc., can solve problems such as numerous interferences, inability to cope with forecasting and control, and inability to accurately obtain global or even local mathematical models

Active Publication Date: 2020-02-18
SOUTH CHINA UNIV OF TECH
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0005] The urban traffic system is huge in scale, complex in system, and numerous in disturbances, and it is impossible to accurately obtain global or even local mathematical models. Traditional model-based methods cannot cope with its forecasting and control problems.

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
  • A data-driven distributed area control method for traffic road network
  • A data-driven distributed area control method for traffic road network
  • A data-driven distributed area control method for traffic road network

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0080] The data in this embodiment comes from the SCATS system. The SCATS system has been implemented and applied in many cities such as Shanghai and Shenyang, and has also achieved effective control effects. According to the measured saturation value, the SCATS system predetermines the parameters of period, green signal ratio and phase difference in multiple schemes, and these parameters will not change within a certain period of time.

[0081] A data-driven distributed area control method for traffic road network, including three parts: traffic data filtering, traffic network lane saturation modeling and signal light timing distributed area control. attached figure 1 The urban traffic road network multi-intersection model designed for this embodiment involves multiple intersections. By acquiring intersection data, data processing, road network modeling and distributed area optimization, data-driven traffic road network modeling and distribution are completed. Type area cont...

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 data-driven traffic network distributed region control method, which comprises steps of traffic data filtering, traffic network lane saturation modeling and signal light timing distributed region control. Rolling optimization is carried out based on a prediction model, a series of future control signals U(k) is set, under given constraints, the best solution U*(k) is solved and is used as input of a control object. A Nash optimization method is further used to solve the correlation problem among multiple subsystems, and the optimal signal period length U<n><*>(k) is acquired. The data driven method is used to do research on a lane saturation prediction model, the signal light region timing optimization based on distributed prediction control is put forward, and aset of high-efficiency control method is provided for avoiding or alleviating traffic congestion.

Description

technical field [0001] The technical field of complex system control of the present invention, in particular, relates to a data-driven distributed area control method of traffic road network. Background technique [0002] With the rapid development of my country's economy and the steady increase of residents' income level, the demand for urban transportation in my country has surged. How to deal with traffic congestion has become one of the urgent problems to be solved in the process of urbanization. Traffic signal timing optimization is one of the effective means to solve urban traffic problems, and its main task is to guide the traffic flow on the road reasonably. The use of intelligent transportation systems to scientifically and effectively manage the existing road network can improve the vehicle traffic rate. While supporting transportation management, intelligent transportation pays more attention to meeting the needs of public travel and public transportation travel...

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
Patent Type & Authority Patents(China)
IPC IPC(8): G08G1/01G08G1/07
Inventor 张浪文谢巍杨晓峰何伟吴伟林余孝源
Owner SOUTH CHINA UNIV OF TECH
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