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Traffic trip feature extraction method based on multi-mode public transport data matching

A technology for public transportation and bus data, applied in the direction of traffic flow detection, etc., can solve the problem of lack of method and system, and achieve the effect of improving data quality

Active Publication Date: 2015-07-08
BEIJING UNIV OF TECH +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

How to effectively correlate and match these massive heterogeneous data and mine the commuting characteristics of public transportation still lacks a complete method system

Method used

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  • Traffic trip feature extraction method based on multi-mode public transport data matching
  • Traffic trip feature extraction method based on multi-mode public transport data matching
  • Traffic trip feature extraction method based on multi-mode public transport data matching

Examples

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Embodiment Construction

[0066] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0067] The flow chart of the public transportation travel feature extraction method based on multi-mode bus data matching is as follows: image 3 shown, including the following steps:

[0068] Step 1: Preprocessing and matching of public transportation multi-source data.

[0069] Step 2: Extraction of public transport travel chain structure.

[0070] Step 3: Identification of commuting travel behavior.

[0071] Step 4: Determining the start and end points of the travel phase.

[0072] Step 5: Matching of travel feature information.

[0073] Application examples of the present invention are given below.

[0074] Taking the public transport operation data of five consecutive working days from September 22 to September 26, 2014 in Beijing as an example, the residents' public transport travel characteristics are calculated and analyzed.

[0075] (1) P...

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Abstract

The invention relates to a traffic trip feature extraction method based on multi-mode public transport data matching. According to the traffic trip feature extraction method based on multi-mode public transport data matching, the concept of a public transport commuting trip chain is introduced, and resident commuting trip feather information such as the commuting trip time, the commuting trip distance and the transfer characteristics is obtained by conducting data pre-processing and matching, public transport trip chain structure extraction, commuting trip behavior judgment, trip origin-destination determination and trip feather information matching according to the multi-source data including ground public transport, rail transport and public bike card swiping data, public transport GPS data, public transport stations, line basic data and the like. According to the traffic trip feature extraction method based on multi-mode public transport data matching, the resident commuting trip condition can be mastered by public transport operating enterprises and government competent departments accurately, the support is provided for optimizing urban public transport lines and making public transport policies, and the traffic trip feature extraction method has great significance in improving commuting trip efficiency of residents.

Description

technical field [0001] The invention belongs to the field of public transportation operation monitoring, and relates to a method for calculating and analyzing public transportation travel characteristics based on multi-mode public transportation data matching. Background technique [0002] Commuting is the main body of public transport services, and mastering its travel characteristics is the basis for rationally deploying public transport capacity and formulating optimization measures for public transport networks. With the promotion of intelligent public transportation systems, public transportation multi-source data (such as IC card data, bus GPS data, etc.) are widely collected. These data record the public transportation travel process of residents and lay a good foundation for extracting their travel characteristics data base. The patent with the application number CN201210074506 discloses a method for obtaining characteristic parameters of residents' travel based on ...

Claims

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Application Information

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IPC IPC(8): G08G1/01
Inventor 翁剑成张乐典陈智宏王月玥王昌荣建
Owner BEIJING UNIV OF TECH
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