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

Method for monitoring operation state of public transport network based on low frequency AVL (Automatic Vehicle Location) data

A bus network and operating state technology, applied in the field of intelligent transportation, can solve the problems of estimating the operating state of the bus network and the inability to use low-frequency and sparse AVL data, so as to achieve the effect of real-time operating state

Active Publication Date: 2019-03-29
杭州中交智行科技有限公司
View PDF6 Cites 7 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0007] Aiming at the defect that the existing bus network operation status technology cannot accurately estimate the bus network operation status by using low-frequency and sparse AVL data, the present invention provides a bus network operation status monitoring method based on low-frequency AVL data

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
  • Method for monitoring operation state of public transport network based on low frequency AVL (Automatic Vehicle Location) data
  • Method for monitoring operation state of public transport network based on low frequency AVL (Automatic Vehicle Location) data
  • Method for monitoring operation state of public transport network based on low frequency AVL (Automatic Vehicle Location) data

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0084] The method for evaluating the operating state of the bus network of the present invention mainly includes the following steps: 1) dividing the bus network into sections. Use the existing road geographic information and station location information to divide the bus line network into sections, and sort out the bus section information table; 2) Map matching of bus AVL data. Match the original bus AVL data with the bus section information table established in step 1) to construct bus AVL trajectory data; 3) data cleaning. Perform data cleaning on the wrong and redundant information in the bus AVL trajectory data to avoid large errors in the estimation of road travel time; 4) Sample data construction. Utilize the bus AVL trajectory data sorted out in step 3) to estimate the average travel speed of the bus section; 5) fill in the sparse data. For the spatiotemporal sparse sample data of the bus network, the sparse sample data is reconstructed to realize the filling of the s...

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 relates to a method for monitoring the operation state of a public transport network, belongs to the technical field of intelligent transportation, and particularly relates to the methodfor monitoring the operation state of the public transportation network based on low frequency AVL (Automatic Vehicle Location) data. The method utilizes road geographic information, public transportation AVL data, and site location information, and realizes the operation state monitoring for the public transportation network through the process of public transportation network segment division,public transportation AVL data map matching, data cleaning, sample data construction, sparse data filling, and public transportation network operation situation assessment. The method for monitoring the operation state of the public transportation network based on the low frequency AVL data can provide decision-making basis for urban general traffic system management, customized public transportation network optimization, and public transportation operation scheduling.

Description

technical field [0001] The invention relates to a method for monitoring the operation status of a bus network, which belongs to the technical field of intelligent transportation, and in particular to a method for monitoring the operation status of a bus network based on low-frequency AVL data. Background technique [0002] Public transportation has the characteristics of large carrying capacity, high efficiency, and low cost. Prioritizing the development of public transportation is an inevitable requirement for alleviating traffic congestion and optimizing urban transportation modes. However, because urban buses are affected by urban signal intersections, bus station pick-up and drop-off, and traffic congestion, the travel time of the bus section has fluctuated greatly, resulting in a serious drop in the punctuality rate of the bus, thereby reducing the management level of the bus. and service quality. Therefore, it is necessary to accurately estimate the operating status o...

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 Applications(China)
IPC IPC(8): G08G1/123G06Q10/04G06Q50/30
CPCG06Q10/04G08G1/123G06Q50/40
Inventor 彭理群柏跃龙王安格李鑫罗明波程静
Owner 杭州中交智行科技有限公司
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