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

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...

AI Technical Summary

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 city;

[0004] 2) The research on passenger flow is relatively small, and its applicability to urban areas with high passenger flow density has not yet been confirmed;

[0005] 3) Lack of quantitative research on scheduling response time

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