Urban road network congestion evolution analysis method considering time-space characteristics

A technology of spatio-temporal characteristics and urban road network, applied in design optimization/simulation, complex mathematical operations, instruments, etc., can solve problems such as difficult to predict and complex changes in road network status

Pending Publication Date: 2022-01-18
TONGJI UNIV
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, compared with the above-mentioned events, the impact of the epidemic may last for a long time. During this period, the road congestion pattern is affecte...

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 road network congestion evolution analysis method considering time-space characteristics
  • Urban road network congestion evolution analysis method considering time-space characteristics
  • Urban road network congestion evolution analysis method considering time-space characteristics

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0006] The urban road network congestion evolution analysis method considering the spatio-temporal characteristics proposed by the present invention, the method is based on the statistical analysis theory of data, and the specific steps are as follows:

[0007] Step1: Construction of velocity space-time matrix

[0008] First clean the data, mainly to deal with missing data. If there is a large amount of missing data in the traffic area, it will be discarded directly. If there are few missing data, it will be interpolated according to the speed of the time slice before and after, and then the space-time matrix M={m ij}, where m ij is the average speed of the i-th traffic area in the j-th hour;

[0009] Step2: Space-time matrix decomposition

[0010] For the space-time matrix M, use the RPCA algorithm to decompose it into the sum of a low-rank matrix L and a sparse matrix S, and balance the two optimization objectives through the coefficient λ, where the low-rank matrix repres...

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 road network congestion evolution analysis method considering time-space characteristics, and aims to accurately evaluate and analyze road network congestion change characteristics under the influence of multiple factors from two dimensions of time and space. The method comprises the following steps: firstly, constructing a vehicle speed space-time matrix through average vehicle speed data of a traffic zone to extract space-time change characteristics; then extracting common features and heterogeneous fluctuations in traffic state time change of each traffic zone from the overall features by using a robust principal component analysis (RPCA) method; extracting a typical scene of traffic state change by using a clustering method, and analyzing spatial and temporal distribution of heterogeneous parts; and finally, analyzing the fluctuation characteristics of the heterogeneous part through an iterative cumulative sum of squares (ICSS) algorithm.

Description

technical field [0001] The invention belongs to the field of spatio-temporal data mining and urban risk management and control. More specifically, the present invention relates to a more comprehensive and comprehensive method for evaluating the spatio-temporal characteristics of urban road network congestion changes under the influence of events. Background technique [0002] A large number of studies have shown that there is a close interaction between the epidemic and travel activities. On the one hand, human travel, especially travel based on public transportation, is an important factor in the rapid spread of the virus. On the other hand, during the epidemic, people consider their own safety, and the travel originally based on public transportation may turn to private cars. For example, a survey on the travel patterns of Shanghai residents after the epidemic showed that about 82% of the respondents who used to commute by public transportation have switched to private tr...

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): G06F30/27G06K9/62G06F17/16G06F119/12
CPCG06F30/27G06F17/16G06F2119/12G06F18/23213
Inventor 李健许鹏飞李玮峰
Owner TONGJI UNIV
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