CN109583719B - Method for adjusting line shifts of bus direct travel - Google Patents

Method for adjusting line shifts of bus direct travel Download PDF

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CN109583719B
CN109583719B CN201811365001.0A CN201811365001A CN109583719B CN 109583719 B CN109583719 B CN 109583719B CN 201811365001 A CN201811365001 A CN 201811365001A CN 109583719 B CN109583719 B CN 109583719B
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passenger flow
direct
line
full load
load rate
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CN109583719A (en
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马荣叶
高技
张亮
张守田
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Whale Cloud Technology Co Ltd
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Whale Cloud Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/06Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063Operations research, analysis or management
    • G06Q10/0631Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q50/40

Abstract

According to the method for adjusting the line shift of the bus direct travel, which is designed by the invention, the starting point and the destination of the travel in one period of one line on a working day (or a non-working day) are analyzed, the number of up-and-down bus passenger flows of the bus direct travel in each station is analyzed, and the total number of the direct passenger flows is calculated; the direct passenger flow accounts for more than 30% of the passenger flow of the line, and according to uniform or nonuniform passenger flow distribution, large passenger flow stations (the number of direct passengers on the vehicle accounts for 15% or more of the direct passenger flow and the number of direct passengers off the vehicle accounts for 15% or more of the direct passenger flow) are concentrated or dispersed in space, and the full load rate condition of the line in the period is judged, so that various adjustment strategies of increasing or reducing shifts, opening special lines, merging small passenger flow stations and the like are made.

Description

Method for adjusting line shifts of bus direct travel
Technical Field
The invention belongs to the field of business of operators, and particularly relates to a method for adjusting line shifts of direct travel of buses.
Background
At present, a bus company analyzes repeated lines (overlapping road sections of buses and subways) according to experience, the effect of adjusting the bus lines is not ideal, the development of the current computer technology provides technical directions for analyzing the travel characteristics of clients of the repeated lines through big data, so that a scheme for removing the negative effect of redundant bus lines is provided, the actual OD point of a connected passenger is analyzed by combining individual travel rules, the starting point and the destination of travel in a period of one line on a working day (or a non-working day) are analyzed, four conditions of direct bus transfer, direct bus transfer and rail transfer and bus transfer are separated, and a decision for adjusting the line shift is made according to different specific conditions.
Disclosure of Invention
The invention aims to provide a method for adjusting the line shift of a bus direct trip.
In order to achieve the technical purpose, the invention adopts the following technical scheme, and the method for adjusting the shift of the route of the bus direct travel is used for analyzing the starting point and the destination of the travel in a period of one route on a working day (or a non-working day) and analyzing the bus direct travel, and is characterized by comprising the following steps:
step S1, bus travel, without transfer, i.e. the travel chain IS TRANSPOT _type=2, payent_order=1 and is_over=y record;
s2, calculating the number of on-off passenger flows of the direct passenger flows at each station and the total number of the direct passenger flows;
Step S3, the direct passenger flow accounts for more than 30% of the passenger flow of the line, the number of passengers on each station is uniform, namely, the variance of the passenger flow (boarding and disembarking) is smaller than 0.1, the average full load rate of the line in the period is calculated, when the full load rate is more than 120%, the number of shifts is increased, and the limit value of the variance can be adjusted according to the data condition; when the full load rate is less than 50%, the number of shifts is reduced, the actual number of shifts is combined, the lowest departure number of shifts is ensured, the full load rate is more than or equal to 50% and less than or equal to 120%, and the current situation can be maintained;
S4, direct passenger flow accounts for more than 30% of the passenger flow of the line, and passenger flow distribution is uneven, namely passenger flow (boarding+alighting) variance is more than 0.1, large passenger flow stations (the number of direct boarding passengers accounts for 15% and more of direct alighting passenger flow/the number of direct alighting passengers accounts for 15% and more of direct alighting passenger flow) are concentrated in space, the full load rate of the line in the period is judged, and when the full load rate is more than 120%, the lines such as interval vehicles, special lines, large station buses and the like can be opened for large passenger flow intervals; when the full load rate is less than 50%, the shift should be reduced; the full load rate is more than or equal to 50% and less than or equal to 120%, so that the current situation can be maintained;
s5, the direct passenger flow accounts for more than 30% of the passenger flow of the line, the passenger flow distribution is uneven, namely the passenger flow (boarding+alighting) variance is more than 0.1, large passenger flow stations (the number of direct boarding passengers accounts for 15% and more of the direct alighting passenger flow/the number of direct alighting passengers accounts for 15% and more of the direct alighting passenger flow) are spatially dispersed, the full load rate of the line in the period is judged, and when the full load rate is more than 120%, a strategy of combining small passenger flow stations can be adopted according to the situation; when the full load rate is less than 50%, the shift should be reduced; the full load rate is more than or equal to 50% and less than or equal to 120%, so that the current situation can be maintained;
Step S6, direct passenger flow accounts for less than 30% of the passenger flow of the line, and line and shift adjustment is performed by combining other factors.
Preferably, the data stored in the PUBLIC transportation link information td_public_trip_chan table extracted in step S1 is in the following format: name is ENTITY number, code is entity_NUM, data Type is VARCHAR2 (50); the Name is payment mode, the Code is PAYMENT _TYPE, the Data TYPE is CHAR 1, the 1-IC card, the 2-mobile terminal; name is the payment record stream of getting on, code is PAYMENT _SN, and Data Type is VARCHAR2 (50); name is the payment NUMBER, code is PAYMENT _ORDER, data Type is NUMBER (2), and each time Y is followed again by 1; name is the UP STATION point ID, code is UP_STATION_ID, and Data Type is NUMBER [9]; name is the get-on payment TIME, code is UP_ PAYMENT _TIME, and Data Type is DATE; name is the next STATION point ID, code is the down_state_id, data Type is NUMBER (9), outlier 000000000; name is the TIME of getting off, code is DOWN_ PAYMENT _TIME, data Type is DATE, outlier 1900/00/00/00/00/00; name is LINE ID, code is LINE_ID, and Data Type is NUMBER [9]; the Name IS whether one trip IS completed, the Code IS IS_OVER, the Data Type IS CHAR (1), Y, N; name is the TYPE of vehicle, code is TRANSPOT _TYPE, data TYPE is CHAR (1), 1-subway,2-bus,3-taix,4-bike; name is the TIME of entry, code is UPDATE_TIME, and Data Type is DATE.
Preferably, the passenger flow variance calculating method comprises the following steps: calculating the number of boarding and disembarking persons at the site to obtain passenger flow q sn of each site; calculating station passenger flow average valueI.e. the sum of all the station passenger flows of the line divided by the total number of stations; calculate passenger flow variance/>
According to the method for adjusting the line shift of the bus direct travel, which is designed by the invention, the starting point and the destination of the travel in one period of one line on a working day (or a non-working day) are analyzed, the number of up-and-down bus passenger flows of the bus direct travel in each station is analyzed, and the total number of the direct passenger flows is calculated; the direct passenger flow accounts for more than 30% of the passenger flow of the line, and according to uniform or nonuniform passenger flow distribution, large passenger flow stations (the number of direct passengers on the vehicle accounts for 15% or more of the direct passenger flow and the number of direct passengers off the vehicle accounts for 15% or more of the direct passenger flow) are concentrated or dispersed in space, and the full load rate condition of the line in the period is judged, so that various adjustment strategies of increasing or reducing shifts, opening special lines, merging small passenger flow stations and the like are made.
Drawings
Fig. 1 is a flow chart of the method of the present invention.
Detailed Description
Embodiments of the present invention are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are illustrative only and are not to be construed as limiting the invention.
In the description of the present invention, unless specified and limited otherwise, it is to be noted that the terms "mounted," "connected," and "coupled" are to be construed broadly, and may be mechanical or electrical, or may be in communication with each other between two elements, directly or indirectly via an intervening medium, for example. The specific meaning of the terms described above will be understood by those of ordinary skill in the art as the case may be.
The following describes a method for adjusting a shift of a route for a bus to go out according to an embodiment of the present invention with reference to fig. 1, where a start point and a destination of a trip in a period of a route on a working day (or a non-working day) are analyzed, and the bus to go out is analyzed, and the method is characterized by comprising the following steps:
step S1, bus travel, without transfer, i.e. the travel chain IS TRANSPOT _type=2, payent_order=1 and is_over=y record;
s2, calculating the number of on-off passenger flows of the direct passenger flows at each station and the total number of the direct passenger flows;
Step S3, the direct passenger flow accounts for more than 30% of the passenger flow of the line, the number of passengers on each station is uniform, namely, the variance of the passenger flow (boarding and disembarking) is smaller than 0.1, the average full load rate of the line in the period is calculated, when the full load rate is more than 120%, the number of shifts is increased, and the limit value of the variance can be adjusted according to the data condition; when the full load rate is less than 50%, the number of shifts is reduced, the actual number of shifts is combined, the lowest departure number of shifts is ensured, the full load rate is more than or equal to 50% and less than or equal to 120%, and the current situation can be maintained;
S4, direct passenger flow accounts for more than 30% of the passenger flow of the line, and passenger flow distribution is uneven, namely passenger flow (boarding+alighting) variance is more than 0.1, large passenger flow stations (the number of direct boarding passengers accounts for 15% and more of direct alighting passenger flow/the number of direct alighting passengers accounts for 15% and more of direct alighting passenger flow) are concentrated in space, the full load rate of the line in the period is judged, and when the full load rate is more than 120%, the lines such as interval vehicles, special lines, large station buses and the like can be opened for large passenger flow intervals; when the full load rate is less than 50%, the shift should be reduced; the full load rate is more than or equal to 50% and less than or equal to 120%, so that the current situation can be maintained;
s5, the direct passenger flow accounts for more than 30% of the passenger flow of the line, the passenger flow distribution is uneven, namely the passenger flow (boarding+alighting) variance is more than 0.1, large passenger flow stations (the number of direct boarding passengers accounts for 15% and more of the direct alighting passenger flow/the number of direct alighting passengers accounts for 15% and more of the direct alighting passenger flow) are spatially dispersed, the full load rate of the line in the period is judged, and when the full load rate is more than 120%, a strategy of combining small passenger flow stations can be adopted according to the situation; when the full load rate is less than 50%, the shift should be reduced; the full load rate is more than or equal to 50% and less than or equal to 120%, so that the current situation can be maintained;
Step S6, direct passenger flow accounts for less than 30% of the passenger flow of the line, and line and shift adjustment is performed by combining other factors.
Preferably, the data stored in the PUBLIC transportation link information td_public_trip_chan table extracted in step S1 is in the following format: name is ENTITY number, code is entity_NUM, data Type is VARCHAR2 (50); the Name is payment mode, the Code is PAYMENT _TYPE, the Data TYPE is CHAR 1, the 1-IC card, the 2-mobile terminal; name is the payment record stream of getting on, code is PAYMENT _SN, and Data Type is VARCHAR2 (50); name is the payment NUMBER, code is PAYMENT _ORDER, data Type is NUMBER (2), and each time Y is followed again by 1; name is the UP STATION point ID, code is UP_STATION_ID, and Data Type is NUMBER [9]; name is the get-on payment TIME, code is UP_ PAYMENT _TIME, and Data Type is DATE; name is the next STATION point ID, code is the down_state_id, data Type is NUMBER (9), outlier 000000000; name is the TIME of getting off, code is DOWN_ PAYMENT _TIME, data Type is DATE, outlier 1900/00/00/00/00/00; name is LINE ID, code is LINE_ID, and Data Type is NUMBER [9]; the Name IS whether one trip IS completed, the Code IS IS_OVER, the Data Type IS CHAR (1), Y, N; name is the TYPE of vehicle, code is TRANSPOT _TYPE, data TYPE is CHAR (1), 1-subway,2-bus,3-taix,4-bike; name is the TIME of entry, code is UPDATE_TIME, and Data Type is DATE.
Preferably, the passenger flow variance calculating method comprises the following steps: calculating the number of boarding and disembarking persons at the site to obtain passenger flow q sn of each site; calculating station passenger flow average valueI.e. the sum of all the station passenger flows of the line divided by the total number of stations; calculate passenger flow variance/>
According to the method for adjusting the line shift of the bus direct travel, which is designed by the invention, the starting point and the destination of the travel in one period of one line on a working day (or a non-working day) are analyzed, the number of up-and-down bus passenger flows of the bus direct travel in each station is analyzed, and the total number of the direct passenger flows is calculated; the direct passenger flow accounts for more than 30% of the passenger flow of the line, and according to uniform or nonuniform passenger flow distribution, large passenger flow stations (the number of direct passengers on the vehicle accounts for 15% or more of the direct passenger flow and the number of direct passengers off the vehicle accounts for 15% or more of the direct passenger flow) are concentrated or dispersed in space, and the full load rate condition of the line in the period is judged, so that various adjustment strategies of increasing or reducing shifts, opening special lines, merging small passenger flow stations and the like are made.
In the description of the present specification, a description referring to the terms "one embodiment," "example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the invention. In this specification, schematic representations of the above terms do not necessarily refer to the same embodiments or examples. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples.
While embodiments of the present invention have been shown and described, it will be understood by those of ordinary skill in the art that: many changes, modifications, substitutions and variations may be made to the embodiments without departing from the spirit and principles of the invention, the scope of which is defined by the claims and their equivalents.

Claims (1)

1. The method for adjusting the shift of the route of the bus direct travel is characterized by comprising the following steps of:
step S1, bus travel is performed without transfer;
s2, calculating the number of on-off passenger flows of the direct passenger flows at each station and the total number of the direct passenger flows;
Step S3, the direct passenger flow accounts for more than 30% of the passenger flow of the line, the number of passengers on each station and the number of passengers off each station are uniform, namely the passenger flow variance is smaller than 0.1, and the average full load rate of the line in the period is calculated, wherein the passenger flow variance is calculated by the following steps: calculating the number of boarding and alighting of the stations to obtain the passenger flow of each station ; Calculating station passenger flow average value/>I.e. the sum of all the station flows of the line divided by the total number of stations; calculate passenger flow variance/>When the full load rate is more than 120%, the shift should be increased, and the limit value of the variance is adjusted according to the data condition; when the full load rate is less than 50%, the number of shifts is reduced, the actual number of shifts is combined, the lowest departure number of shifts is ensured, the full load rate is more than or equal to 50% and less than or equal to 120%, and the current situation is maintained;
S4, the direct passenger flow accounts for more than 30% of the passenger flow of the line, the passenger flow distribution is uneven, namely the passenger flow variance is more than 0.1, the direct passenger flow stations are stations with 15% or more of the direct passenger flow on the upper bus or 15% or more of the direct passenger flow off the lower bus, the full load rate of the period line is concentrated in space, and when the full load rate is more than 120%, interval bus, special line and large station express line are opened for a large passenger flow interval; when the full load rate is less than 50%, the shift should be reduced; the full load rate is more than or equal to 50% and less than or equal to 120%, and the current situation is maintained;
S5, the direct passenger flow accounts for more than 30% of the passenger flow of the line, the passenger flow distribution is uneven, namely the passenger flow variance is more than 0.1, the direct passenger flow stations are stations with 15% or more of the direct boarding passenger flow or 15% or more of the direct alighting passenger flow, the direct passenger flow is spatially dispersed, the full load rate of the line in a period is judged, and when the full load rate is more than 120%, a strategy of combining small passenger flow stations is adopted according to the situation; when the full load rate is less than 50%, the shift should be reduced; the full load rate is more than or equal to 50% and less than or equal to 120%, and the current situation is maintained.
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Publication number Priority date Publication date Assignee Title
CN112101824A (en) * 2020-11-09 2020-12-18 浙江工商职业技术学院 Public traffic management method and system based on big data
CN113705903A (en) * 2021-08-31 2021-11-26 重庆市凤筑科技有限公司 OD derivation method based on urban public transport comprehensive model

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103198565A (en) * 2013-04-12 2013-07-10 王铎源 Charge and passenger flow information acquisition method for bus IC (integrated circuit) cards
CN105913653A (en) * 2016-06-27 2016-08-31 华南理工大学 Public transport intelligent vehicle planning and scheduling system and public transport intelligent vehicle planning and scheduling method under cloud platform environment
CN106504518A (en) * 2016-11-24 2017-03-15 浙江交通职业技术学院 The dispatching method that a kind of city bus are cooperateed with long-distance passenger transportation
CN106781432A (en) * 2016-11-16 2017-05-31 青岛海信网络科技股份有限公司 A kind of method and device of public traffic vehicles schedule
WO2018023331A1 (en) * 2016-08-01 2018-02-08 中国科学院深圳先进技术研究院 System and method for real-time evaluation of service index of regular public buses
CN108806302A (en) * 2018-05-23 2018-11-13 青岛海信网络科技股份有限公司 A kind of vehicle dispatching method and device

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103198565A (en) * 2013-04-12 2013-07-10 王铎源 Charge and passenger flow information acquisition method for bus IC (integrated circuit) cards
CN105913653A (en) * 2016-06-27 2016-08-31 华南理工大学 Public transport intelligent vehicle planning and scheduling system and public transport intelligent vehicle planning and scheduling method under cloud platform environment
WO2018023331A1 (en) * 2016-08-01 2018-02-08 中国科学院深圳先进技术研究院 System and method for real-time evaluation of service index of regular public buses
CN106781432A (en) * 2016-11-16 2017-05-31 青岛海信网络科技股份有限公司 A kind of method and device of public traffic vehicles schedule
CN106504518A (en) * 2016-11-24 2017-03-15 浙江交通职业技术学院 The dispatching method that a kind of city bus are cooperateed with long-distance passenger transportation
CN108806302A (en) * 2018-05-23 2018-11-13 青岛海信网络科技股份有限公司 A kind of vehicle dispatching method and device

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
城市公交单一线路优化研究;刘颂;《中国优秀硕士学位论文全文数据库信息科技辑》;20141215(第2014年第12期期);第1-61页 *
城市公交组合调度模型研究;苏薇;《中国优秀硕士学位论文全文数据库信息科技辑》;20160115(第2016年第01期期);第1-55页 *

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