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A data-driven method for health diagnosis of urban bus lines

An urban public transportation, data-driven technology, applied in the field of intelligent transportation, can solve the problems of public transportation line health index and health diagnosis, etc., and achieve the effect of improving data quality

Inactive Publication Date: 2019-01-04
TONGJI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] After searching the existing technical literature, it is found that there is no public report on the data-driven bus line health index and health diagnosis

Method used

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  • A data-driven method for health diagnosis of urban bus lines
  • A data-driven method for health diagnosis of urban bus lines
  • A data-driven method for health diagnosis of urban bus lines

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Experimental program
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Embodiment Construction

[0041] The technical solution of the present invention will be further described below in conjunction with the accompanying drawings.

[0042] A data-driven public transport health diagnosis method is characterized in that, comprising the following steps in sequence:

[0043] 1. Data collection:

[0044]Multi-source data includes static basic data including GIS maps, basic data of bus stops, basic data of road sections, basic data of routes, timetable, etc., bus GPS data, IC card data, bus frequency and scheduling data, taxi GPS data, Real-time data including mobile phone data, as well as statistical data including accident data, maintenance data, cost data, and clearing data. Bus GPS, IC card, frequency and scheduling data, and taxi GPS data are obtained through the interface server connected to the data interface of the city's taxi and bus data center, and mobile phone data are obtained through the communication company;

[0045] 2. Data preprocessing:

[0046] Perform da...

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Abstract

The invention relates to a data-driven urban bus line health diagnosis method, belonging to the field of intelligent transportation technology. Through the data-driven, the urban bus line health diagnosis method is established. The method comprises (1) data acquisition (2) data preprocessing (3) evaluation of bus line health index (4) construction of bus line service knowledge base (5) cause diagnosis of unhealthy lines. At the same time, considering the passenger service and operation cost, the technical scheme establishes the evaluation method of bus line health indexes, through massive datamining, establishes the relationship between the individual and comprehensive health index and the objective elements of the line, road, intersection, passenger and other related to the line operation, and constructs the knowledge base of bus line service. Based on the knowledge base, the unhealthy line can be diagnosed. If the diagnosis fails, the expert diagnostic method can be further used. Atthe same time, the knowledge base can be updated to form a closed loop, which can self-improve the line health index evaluation and health diagnosis process.

Description

technical field [0001] The invention relates to a data-driven bus line health diagnosis method, which belongs to the technical field of intelligent transportation. Background technique [0002] The existing conventional bus evaluation methods mainly focus on the evaluation of bus operation services. The evaluation content, indicators and methods are based on passengers, and do not consider the company's own operations. As a result, the evaluation results are not comprehensive enough, and it is difficult to determine the source of the problem and the solution. In my country's current urban public transport development, public transport companies are responsible for providing services, and the government supervises public transport services. In various cities in my country, various industry departments and public transport companies rely on experience to improve the operation of public transport lines, lacking scientific, comprehensive and effective ways to improve bus service....

Claims

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Application Information

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IPC IPC(8): G06Q10/06G06Q50/26G06F16/36
CPCG06Q10/0639G06Q50/26
Inventor 杨晓光刘心雨张力楠马成元杨泽林李婧张诗乐寸宣堂
Owner TONGJI UNIV
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