Multi-vehicle-type regional customized bus scheduling method based on reservation data

A scheduling method and multi-vehicle technology, applied in constraints-based CAD, genetic models, data processing applications, etc., can solve problems such as unproven applicability, lack of quantitative research on scheduling response time, and small audience range

Active Publication Date: 2021-06-04
TONGJI UNIV
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  • Abstract
  • Description
  • Claims
  • Application Information

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Problems solved by technology

[0003] 1) The audience range is small, and the research on multi-line and multi-vehicle models is mostly aimed at the small-scale area of ​​the last kilometer of the bus connecting to the subway during off-peak hours outside the c

Method used

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  • Multi-vehicle-type regional customized bus scheduling method based on reservation data
  • Multi-vehicle-type regional customized bus scheduling method based on reservation data
  • Multi-vehicle-type regional customized bus scheduling method based on reservation data

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Embodiment Construction

[0072] The present invention will be described in detail below in conjunction with the accompanying drawings and specific implementation examples.

[0073] Implementation example

[0074] Through the design calculation example, the model verification and algorithm effectiveness analysis of the established custom bus scheduling model based on reservation data and its solution algorithm are carried out. The process is as follows (attached figure 2 ):

[0075]Passengers use mobile phones or computers to dynamically reserve travel requirements (reservation starting point, number of reservations, destination site) on the APP terminal, and the dispatch center selects a reasonable model (several vehicles of three fixed models) for passenger service after responding. figure 2 There are 12 stations in an area in the middle dashed-line box, A to L represent their station numbers respectively, the distance between each two stations is known, and passengers can make an appointment to g...

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Abstract

The invention discloses a multi-vehicle-type regional customized bus scheduling method based on reservation data. A dynamic scheduling model of multi-line multi-vehicle type customized buses is established for a passenger flow peak zone of an urban area of an urban center. Specifically, in combination with a taxi reservation mode and subway large passenger flow platform waiting characteristics, a dynamic scheduling model of multi-line multi-vehicle type customized buses is established for a passenger flow peak zone in an urban area of an urban center; and meanwhile, the reservation response time is quantitatively analyzed, so that an operation scheme is scheduled in a systematic and reasonable manner, the public transportation attraction is improved, and the service quality of public transportation enterprises is improved.

Description

technical field [0001] The invention relates to a customized bus dispatching scheme design based on reservation data, and belongs to the technical field of customized bus dispatching scheme design. Background technique [0002] Since the implementation of customized buses in some cities in my country, there are still some disadvantages, mainly in three aspects: [0003] 1) The audience range is small, and the research on multi-line and multi-vehicle models is mostly aimed at the small-scale areas of the city's outskirts during off-peak hours and the last mile of the bus connecting to the subway; [0004] 2) The study of passenger flow is relatively small, and its applicability to urban areas with high passenger flow density has not yet been confirmed; [0005] 3) There is a lack of quantitative research on scheduling response time. Contents of the invention [0006] To fill this vacancy, the present invention is oriented to the peak area of ​​passenger flow in the centra...

Claims

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Application Information

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IPC IPC(8): G06F30/20G06N3/12G06Q10/06G06Q50/26G06F111/04G06F111/06
CPCG06F30/20G06N3/126G06Q10/06312G06Q10/06315G06Q50/26G06F2111/04G06F2111/06
Inventor 周雪梅席姣姣关震林晓丹
Owner TONGJI UNIV
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