CN110889622A - Bus network layout determination method, device and equipment based on bus service level - Google Patents

Bus network layout determination method, device and equipment based on bus service level Download PDF

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CN110889622A
CN110889622A CN201911157662.9A CN201911157662A CN110889622A CN 110889622 A CN110889622 A CN 110889622A CN 201911157662 A CN201911157662 A CN 201911157662A CN 110889622 A CN110889622 A CN 110889622A
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张鹍鹏
李新传
刘晓华
谭英嘉
罗玲
魏明
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Shenzhen Comprehensive Traffic Design Research Institute Co Ltd
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Abstract

The invention is suitable for the technical field of computers, and provides a method, a device and equipment for determining the layout of a public transport network based on the public transport service level, wherein the method comprises the steps of obtaining city attribute information and at least one feasible operation scheme of the public transport network; determining the service level under the feasible operation scheme of each public transport network based on the city attribute information; and determining the bus network operation scheme according to the service level under the feasible operation scheme of each bus network. The method for determining the bus network layout based on the bus service level, provided by the embodiment of the invention, combines big data and artificial intelligence, can automatically read and update various basic data, directly converts the basic data into a numerical value and calculates and determines the service level of the scheme after a user inputs a feasible operation scheme of the bus network, and then determines the optimal bus network operation scheme according to the service level.

Description

Bus network layout determination method, device and equipment based on bus service level
Technical Field
The invention belongs to the technical field of computers, and particularly relates to a method, a device and equipment for determining bus network layout based on a bus service level.
Background
With the overall improvement of the domestic economic level, the phenomenon of road traffic jam is more and more serious, and the prior development of public transport is an effective way for solving the urban traffic problem. In the last 70 th century, huge manpower and material resources are invested in all countries in the world, urban public transport networks are vigorously developed, a series of problems such as bus route laying, bus stop laying and vehicle configuration are researched, and the service level of a public transport system is expected to be improved so as to attract urban residents to select the public transport system when going out.
However, the factors affecting the service level of the urban public transportation network are numerous, and relate to station coverage, direct performance, unbalanced transportation capacity and the like, so that the data volume is large, the operation is complex, the manual management difficulty is large, the service level cannot be quantitatively evaluated in many times, the decision is often judged by depending on the past experience, and the whole public transportation network planning process is very inconvenient.
Therefore, the existing public traffic network planning method has the technical problem that the planning process is not simple and convenient enough due to large data volume, large management difficulty and excessive dependence on manual experience.
Disclosure of Invention
The embodiment of the invention aims to provide a method for determining the bus network layout based on the bus service level, and aims to solve the technical problems that the conventional bus network planning method is not simple and convenient enough in planning process due to large data volume, large management difficulty and excessive dependence on manual experience.
The embodiment of the invention is realized in such a way that a method for determining the bus network layout based on the bus service level comprises the steps of obtaining city attribute information, wherein the city attribute information comprises divided region information, and population information, area information and total production value information of each divided region;
the method comprises the steps that at least one bus network feasible operation scheme is obtained, the bus network feasible operation scheme comprises station information and line information, the station information comprises the affiliated dividing area and longitude and latitude information of each station, and the line information comprises the route station of each line;
determining service level under a feasible operation scheme of each public traffic network based on the city attribute information, wherein evaluation indexes of the service level comprise station coverage rate of each divided area;
and determining the bus network operation scheme according to the service level under the feasible operation scheme of each bus network.
Another object of an embodiment of the present invention is to provide a device for determining a bus network layout based on a bus service level, including:
the system comprises a city attribute information acquisition unit, a city attribute information acquisition unit and a city attribute information processing unit, wherein the city attribute information acquisition unit is used for acquiring city attribute information which comprises divided region information, population information, area information and total production value information of each divided region;
the system comprises a bus net feasible operation scheme acquisition unit, a route information acquisition unit and a route information acquisition unit, wherein the bus net feasible operation scheme acquisition unit is used for acquiring at least one bus net feasible operation scheme, the bus net feasible operation scheme comprises station information and route information, the station information comprises the affiliated divided area and longitude and latitude information of each station, and the route information comprises the route station of each route;
the service level determining unit is used for determining the service level under the feasible operation scheme of each public transport network based on the city attribute information, and the evaluation index of the service level comprises the station coverage rate of each divided area;
and the bus network layout determining unit based on the bus service level is used for determining the bus network operation scheme according to the service level under the feasible operation scheme of each bus network.
It is another object of the embodiments of the present invention to provide a computer device, which includes a memory and a processor, wherein the memory stores a computer program, and the computer program, when executed by the processor, causes the processor to execute the steps of the method for determining a bus net layout based on bus service level as described above.
After city attributes including the information of the divided areas and population information, area information and total production value information of each divided area are obtained, and at least one feasible operation scheme of the public transport network including station information and line information is obtained, the obtained data can be automatically processed, the station coverage rate of each divided area is directly obtained, the station coverage rate of each divided area is used as a quantitative index of the service level under the feasible operation scheme of each public transport network, and the operation scheme of the public transport network is further determined according to the service level under the feasible operation scheme of each public transport network. According to the method for determining the bus network layout based on the bus service level, provided by the embodiment of the invention, a decision support platform is established by combining big data and artificial intelligence, the city attribute can be automatically obtained, and after different bus network feasible operation schemes are input by a user, quantitative indexes for representing the service level under each bus network feasible operation scheme are automatically analyzed and obtained, so that the user can screen out the optimal bus network operation scheme according to the service level data.
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Fig. 1 is a flowchart illustrating steps of a method for determining a public transportation network layout based on a public transportation service level according to an embodiment of the present invention;
fig. 2 is a flowchart illustrating steps of a method for determining a site coverage rate of each divided area according to an embodiment of the present invention;
FIG. 3 is a flowchart illustrating steps in a method for determining a proportion of express passenger traffic for each of the zones provided by an embodiment of the present invention;
fig. 4 is a flowchart illustrating steps of a method for determining a balance between transportation capacity and transportation capacity of each divided area according to an embodiment of the present invention;
fig. 5 is a flowchart illustrating steps of a method for determining capacity and capacity balance information according to an embodiment of the present invention;
fig. 6 is a flowchart illustrating steps of another method for determining a bus network layout based on a bus service level according to an embodiment of the present invention;
fig. 7 is a schematic structural diagram of a public transportation network layout determining apparatus based on a public transportation service level according to an embodiment of the present invention;
fig. 8 is a schematic structural diagram of a service level determining unit according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is described in further detail below with reference to the accompanying drawings and embodiments. It should be understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.
As shown in fig. 1, a method for determining a public transportation network layout based on a public transportation service level provided in an embodiment of the present invention specifically includes the following steps:
and step S102, acquiring city attribute information.
In an embodiment of the present invention, the city attribute information includes divided region information, and population information, area information, and total production value information of each divided region.
In the embodiment of the invention, the city attribute information can be directly collected and acquired in a big data mode, and the collection of the city attribute information can be automatically carried out and updated at any time without manual management of a user.
In the embodiment of the present invention, the divided regions are represented by a set S for the ith divided region SiIn other words, the demographic information is represented by piIndicating, area information in siExpressed, and the total value of production is in qiAnd (4) showing.
As a preferred embodiment of the present invention, the city attribute information further includes a total amount of travel for each divided region, wherein for the ith divided region SiIn other words, the total amount of travel in the area is odiAnd (4) showing.
And step S104, acquiring at least one feasible operation scheme of the public transport network.
In the embodiment of the invention, the feasible operation scheme of the public transport network refers to the overall layout of public transport lines of a city, and comprises station information and line information, wherein the station information comprises the divided region to which each station belongs and longitude and latitude information, and the line information comprises the route station of each line.
In the embodiment of the present invention, the site information is represented by a set H, and for a certain site H in the set H, the divided area to which the site belongs is represented by rhIt means that when the divided region of the site is the ith divided region, r is the sameh＝SiLongitude and latitude information of the station is represented by phAnd (4) showing.
In the embodiment of the present invention, the route information is represented by a set K, and for a certain route K in the set K, the route site on the route is represented by
Figure BDA0002285234820000051
Indicates, in particular, when the station h is on the line k, then
Figure BDA0002285234820000052
When the station h is not on the line k,
Figure BDA0002285234820000053
as a preferred embodiment of the present invention, for each site, the set O can be further utilized1Indicating the type of site, e.g. bay, first-stop, charging pile, etc., using the set O2The types of lines are shown, such as backbone lines, main lines, secondary lines, branch lines and the like, not only the sites and the lines are analyzed integrally, but also local analysis can be carried out on the sites and the lines of different types according to different requirements of users, and the sites and the lines of corresponding types only need to be extracted to replace the whole in the data processing processThe sites and lines can be combined, and the determined service level can be more accurate by combining the results of the overall analysis and the local analysis.
As a preferred embodiment of the present invention, further, line information and station information within preset time under different feasible operation schemes of the public transportation network can be obtained, and in the calculation process, the calculation can be performed in combination with the preset time.
As a preferred embodiment of the present invention, the route information further includes a trip amount between any two waypoint stations on each route, in terms of two waypoint stations h on route k1、h2h1、h2For example, the amount of travel at this time is as follows
Figure BDA0002285234820000054
And (4) showing.
As a preferred embodiment of the present invention, the route information further includes passenger capacity information of each route, departure frequency, and getting-on and getting-off amount of each route at each route site, wherein the passenger capacity of the route k is represented by CkIndicating that departure frequency is in fkRepresents the amount of boarding at the route site h
Figure BDA0002285234820000061
Indicates the amount of passengers to be discharged
Figure BDA0002285234820000062
And (4) showing.
In the embodiment of the present invention, it is emphasized that all the specific numerical values may be determined and input according to experience evaluation before planning of the public transportation network, or may be captured and obtained by a big data system according to a real situation and adjusted in real time after the public transportation network is operated, and after the program is set, in the whole data reading process, high automation can be achieved, and there are few places requiring human processing.
And S106, determining the service level under the feasible operation scheme of each public transport network based on the city attribute information.
In the embodiment of the present invention, the evaluation index of the service level includes a site coverage rate of each divided area.
As a preferred embodiment of the present invention, the evaluation index of the service level may further include a ratio of direct passenger traffic volume in each divided region and a balance between the traffic volume and the traffic capacity in each divided region, but accordingly, in the step of acquiring the city basic information and the feasible operation scheme of the traffic network, corresponding data needs to be acquired.
In the embodiment of the present invention, the service level determined under each feasible operation scheme of the public transportation network based on the city attribute information may be understood as a data processing module, and corresponding data can be read from the public transportation operation data module and the basic data module in which the data is stored, and the data is processed according to a predetermined program, so as to directly output a numerical result for representing the service level, so that a user can determine the advantages and disadvantages of different feasible operation schemes of the public transportation network according to the output numerical result.
In the embodiment of the present invention, for evaluation indexes of different service levels, the data used are different, and the processing procedure is different, and the steps of obtaining the evaluation indexes of each service level will be explained with reference to fig. 2 to 4 and the corresponding explanation.
And S108, determining a bus network operation scheme according to the service level of each bus network feasible operation scheme.
In the embodiment of the invention, through the data processing, the service level under the feasible operation scheme can be displayed in a numerical form, so that a user can intuitively determine the performance of the service level under the feasible operation scheme of each public transport network, and the operation scheme of the public transport network is determined.
After city attributes including the information of the divided areas and population information, area information and total production value information of each divided area are obtained, and at least one feasible operation scheme of the public transport network including station information and line information is obtained, the obtained data can be automatically processed, the station coverage rate of each divided area is directly obtained, the station coverage rate of each divided area is used as a quantitative index of the service level under the feasible operation scheme of each public transport network, and the operation scheme of the public transport network is further determined according to the service level under the feasible operation scheme of each public transport network. According to the method for determining the bus network layout based on the bus service level, provided by the embodiment of the invention, a decision support platform is established by combining big data and artificial intelligence, the city attribute can be automatically obtained, and after different bus network feasible operation schemes are input by a user, quantitative indexes for representing the service level under each bus network feasible operation scheme are automatically analyzed and obtained, so that the user can screen out the optimal bus network operation scheme according to the service level data.
As shown in fig. 2, a method for determining a site coverage rate of each divided area provided by an embodiment of the present invention specifically includes the following steps.
Step S202, determining the contained site of each divided area according to the divided area of each site.
In the embodiment of the present invention, for the ith divided region SiIn other words, the site-containing set of the divided region is obtained to
Figure BDA0002285234820000071
Is shown in which
Figure BDA0002285234820000072
The sites in the containing site set are containing sites.
And step S204, determining the site coverage area of each divided area according to the longitude and latitude information of the site contained in each divided area and the preset distance.
In the embodiment of the present invention, the station coverage area refers to a circular coverage area in which all position points in the station coverage area are less than the preset distance from any one of the included stations, that is, the included station is used as a center of a circle, and the preset distance is used as a radius, and for the ith division area SiIncluding a siteh is to
Figure BDA0002285234820000081
Indicating its site coverage area.
In the embodiment of the present invention, the site coverage areas of different containing sites may overlap with each other, but in the calculation, the site coverage area of the repeated coverage is not calculated, that is, for the ith division area SiIn other words, its site coverage area
Figure BDA0002285234820000082
In the embodiment of the present invention, the preset distance may be set according to actual conditions, and preferably, the preset distance is set to 300m or 500 m.
In step S206, population information, area information, and total production value information of the site coverage area of each divided area are determined.
In the embodiment of the invention, the site coverage area of each divided area is obtained
Figure BDA0002285234820000083
Then, the population information, the area information and the total production value information of the site coverage area of each divided area are obtained by utilizing big data, and the population information, the area information and the total production value information are respectively obtained
Figure BDA0002285234820000084
And
Figure BDA0002285234820000085
and (4) showing.
And step S208, determining the site coverage rate of each divided area according to the population information, the area information and the total production value information of the site coverage area of each divided area, the population information, the area information and the total production value information of each divided area.
In the embodiment of the present invention, the site coverage includes site population coverage, site area coverage and total production coverage, and the site coverage of each divided area is an evaluation index of a service level.
In the embodiment of the invention, for the ith division area, the site population coverage rate is determined by the population information of the site coverage area
Figure BDA0002285234820000086
And demographic information piIn contrast, the site area coverage is determined by the area information of the site coverage area
Figure BDA0002285234820000091
And area information siTotal production value coverage compared to total production value for site coverage area
Figure BDA0002285234820000092
And the total production value qiAnd (5) comparing and determining.
As shown in fig. 3, a method for determining the occupancy ratio of express passengers in each divided area according to an embodiment of the present invention specifically includes the following steps.
Step S302, determining the contained site of each divided area according to the divided area of each site.
In the embodiment of the present invention, the site contained in each of the divided regions is the same as the step S202, and the site contained in each of the divided regions is collected to form a site set
Figure BDA0002285234820000093
Please refer to the explanation of step S202, which is not described herein.
Step S304, determining the trip routes each including the station according to the route stations of each determined route.
In the embodiment of the present invention, the travel route refers to the travel route including the station, i.e. the ith divided area SiFor the contained site h, the travel route of the contained site is as follows
Figure BDA0002285234820000094
Is shown in which
Figure BDA0002285234820000095
Step S306, determining the trip amount of each station included on each trip route according to the trip amount between any two path stations on each route.
In an embodiment of the invention, two pathway sites h on a line k are known1、h2Amount of travel of
Figure BDA0002285234820000096
Thereafter, the amount of trips containing site h can be determined by simple summation
Figure BDA0002285234820000097
Step S308, determining the total station travel amount of each station.
In the embodiment of the invention, the traffic of the site h is known
Figure BDA0002285234820000098
Then, traversing the travel route containing the sites
Figure BDA0002285234820000099
The total amount of travel, in od, for each encompassing site can be determined by summinghIt is shown that,
Figure BDA00022852348200000910
in step S310, the total area travel amount of each divided area is determined.
In the embodiment of the invention, similarly, the total travel amount of each divided area can be determined by traversing the contained sites of each divided area and summing up the sites so as to
Figure BDA0002285234820000101
It is shown that,
Figure BDA0002285234820000102
step S312, determining the ratio of the direct passenger traffic volume of each divided region according to the total regional trip volume of each divided region and the total trip volume of each divided region.
In the embodiment of the invention, the ratio of the direct passenger traffic volume in each divided area is an evaluation index of the service level.
In the embodiment of the invention, the total travel amount od of the ith division area can be obtained through big dataiAnd in this part of the throughput,
Figure BDA0002285234820000103
the direct destination can be achieved by adopting a bus direct mode, namely, the direct passenger traffic can be achieved through the total travel amount odiAnd
Figure BDA0002285234820000104
and (4) calculating and determining.
As shown in fig. 4, a method for determining a balance between a transportation capacity and a transportation capacity of each divided area according to an embodiment of the present invention specifically includes the following steps.
Step S402, determining the contained site of each divided area according to the divided area of each site.
In the embodiment of the present invention, the same as the step S202, the including site of each divided region is set to include the site
Figure BDA0002285234820000105
Please refer to the explanation of step S202, which is not described herein.
And step S404, determining the transport capacity line containing the station according to the path station of each line.
In the embodiment of the present invention, the transportation route including the station refers to the transportation route being routed to the including station, that is, the transportation route in this step is substantially the same as the travel route in the aforementioned step S304, but only different from the subsequent processing, and for convenience, the transportation route also includes the station that is located at the including station
Figure BDA0002285234820000106
Representing a set of capacity lines.
Step S406, determining the transportation volume of each transportation capacity line on each route site according to the boarding volume and the disembarking volume of each route on each route site.
In the embodiment of the invention, for the transportation capacity link k, when the boarding volume of the transportation capacity link k at each approach site h is acquired
Figure BDA0002285234820000107
And amount of customers
Figure BDA0002285234820000108
Then, the transport capacity of the transport capacity line k at each path station h can be determined in sequence
Figure BDA0002285234820000111
Wherein
Figure BDA0002285234820000112
hiThe last station to the station h is indicated,
Figure BDA0002285234820000113
indicating capacity link k at access site hiThe traffic volume of (b), i.e. the traffic volume of the last station of the route station h, for the head station of the route k, there is no last station, i.e. the traffic volume of the last station of the head station is 0, and the passenger volume is also 0.
Step S408, obtaining the transportation volume of each transportation capacity line on the inclusion site.
In the embodiment of the invention, after the transportation volume of the transportation capacity line k at each path site h is determined, the transportation volume of the transportation capacity line k at the inclusion site can be obviously determined
Figure BDA0002285234820000114
Representing the traffic volume of the traffic link k at the containing site h.
Step S410, determining the transportation volume and the transportation balance information of each transportation capacity line on the inclusion site according to the passenger capacity information, the departure frequency and the transportation volume of each transportation capacity line on the inclusion site.
In the embodiment of the present invention, the traffic and traffic balance information includes traffic overload and traffic overload.
In the embodiment of the invention, the transport capacity of each line can be determined according to the passenger carrying capacity information and the departure frequency of each line, namely for the transport capacity line k, the transport capacity can be determined according to the passenger carrying capacity information and the departure frequency, and further, the transport capacity and the transport capacity balance information, namely, the transport capacity overload and the transport capacity overload can be determined according to the relation between the transport capacity of the transport capacity line and the transport capacity of the transport capacity line on the contained site, wherein the transport capacity overload is set
Figure BDA0002285234820000115
Set for indicating overload of traffic
Figure BDA0002285234820000116
To represent
In embodiments of the invention, traffic and capacity balance information is determined, i.e. sets are determined
Figure BDA0002285234820000117
And
Figure BDA0002285234820000118
with reference to figure 5 and the explanation thereof,
step S412, determining the transportation volume and the transportation balance degree of each divided area according to the transportation volume and the transportation balance information of each transportation line on the contained site.
In the embodiment of the invention, the freight volume and the freight capacity balance degree of each divided area are the evaluation indexes of the service level.
In the embodiment of the invention, the freight volume and the freight balance degree of each divided area can be integrated by the freight capacity overload of the divided area
Figure BDA0002285234820000121
And traffic overload aggregation
Figure BDA0002285234820000122
The number of elements contained in the Chinese character is determined.
As shown in fig. 5, the method for determining the transportation volume and transportation capacity balance information provided in the embodiment of the present invention specifically includes the following steps:
step S502, determining the transport capacity of each transport capacity line on the inclusion site according to the passenger carrying capacity information and the departure frequency of each line.
In the embodiment of the invention, for the transport capacity line k, the transport capacity of the transport capacity line at the contained site is determined by the passenger capacity information C of the linekAnd departure frequency fkDetermination of, i.e. Ck·fk。
Step S504, determining whether the transportation capacity of each transportation capacity line on the inclusion site and the transportation capacity of each transportation capacity line on the inclusion site satisfy a preset size relationship. When it is determined that the transportation capacity of the transportation capacity line on the inclusion site and the transportation capacity of the transportation capacity line on the inclusion site satisfy a preset size relationship, executing step S506; and executing step S508 when it is determined that the capacity of the capacity line on the inclusion site and the capacity of the capacity line on the inclusion site do not satisfy the preset size relationship.
In an embodiment of the present invention, preferably, the predetermined size relationship is a volume of transportation
Figure BDA0002285234820000123
Greater than transport capacity Ck·fkThat is, when the traffic volume is judged
Figure BDA0002285234820000124
Greater than transport capacity Ck·fkDetermining that the traffic volume of the traffic line on the contained station is overloaded, namely, the station has the risk of detaining passengers, and judging the traffic volume
Figure BDA0002285234820000125
Less than transport capacity Ck·fkAnd determining that the capacity of the capacity line is overloaded on the containing station, wherein the vehicle has idle risk at the moment.
As a preferred embodiment of the present invention, the preset magnitude relationship may further set a corresponding threshold, and when the difference between the transportation volume and the transportation capacity is greater than a certain threshold or smaller than a certain threshold, it is determined that the transportation volume is overloaded or the transportation capacity is overloaded, and when other conditions are satisfied, the transportation volume and the transportation capacity are balanced.
Step S506, determining that the traffic volume of the traffic line on the containing station is overloaded.
In the embodiment of the invention, the capacity of the capacity line k is overloaded on the site h to be integrated
Figure BDA0002285234820000126
Is shown, i.e.
Figure BDA0002285234820000127
Preferably, the 0 may be replaced by a set threshold value larger than 0.
Step S508, determining that the capacity of the capacity line is overloaded on the containing site.
In the embodiment of the invention, the capacity of the capacity line k is overloaded on the site h to be integrated
Figure BDA0002285234820000131
Is shown, i.e.
Figure BDA0002285234820000132
Accordingly, the 0 may be replaced by a set threshold value smaller than 0.
As shown in fig. 6, another method for determining a bus network layout based on a bus service level according to an embodiment of the present invention is different from the method for determining a bus network layout based on a bus service level shown in fig. 1 in that, before step S108, the method further includes:
and step S602, simultaneously comparing and displaying the service level of each bus network under the feasible operation scheme based on the gis graph layer technology.
In the embodiment of the invention, as the bus network operation scheme decision platform is built by utilizing big data, basic information data can be automatically and intelligently acquired, after different bus network feasible operation schemes are input, the service level of each bus network feasible operation scheme is output, and in order to further facilitate the analysis of the service level by workers, the service level under each bus network feasible operation scheme can be contrastingly displayed by combining the gis map layer technology, specifically, by combining the figures 1-5, the station coverage rate, the direct passenger proportion and the balance degree of the transport capacity and the transport capacity of a certain divided area under different bus network feasible operation schemes can be longitudinally contrastingly displayed, for example, the evaluation indexes of different service levels are displayed in different colors.
In order to facilitate understanding of the invention, a specific bus network operation scheme is provided, which relates to the evaluation of station indexes, line accessibility indexes, transportation capacity and transportation quantity supply and demand analysis indexes, and mainly comprises the following steps: (1) preparing data; (2) each site or line type is calculated separately; (3) analyzing the overall characteristics; (4) index longitudinal and transverse contrast difference. The specific embodiment is as follows.
(1) Data preparation
Site type indexes: network basic data module at different network adjusting time points
Figure BDA0002285234820000133
Store each region
Figure BDA0002285234820000141
Information, relating to area
Figure BDA0002285234820000142
Population of human
Figure BDA0002285234820000143
GDP
Figure BDA0002285234820000144
Etc., and different site types
Figure BDA0002285234820000145
(e.g., estuary, first and last station, charging pile, etc.) information for each site of the set
Figure BDA0002285234820000146
Involving the region rhEtc., Z is the set of different adjusted network time points, O1And SzRespectively, a site type and a set of areas,
Figure BDA0002285234820000147
is to adjust network time points differently
Figure BDA0002285234820000148
A certain site type
Figure BDA0002285234820000149
The set of sites of (a) is,
Figure BDA00022852348200001410
is to adjust network time points differently
Figure BDA00022852348200001411
The station set provides basic geographic data for bus network evaluation.
Line reachability index: network scheme management module stores different network adjusting time points
Figure BDA00022852348200001412
Of a certain line type
Figure BDA00022852348200001413
Each line of the set (including backbone, trunk, sub trunk and branch lines)
Figure BDA00022852348200001414
Data relating to pathway sites
Figure BDA00022852348200001415
And passenger carrying capacity CkEtc. O2Is a line classThe set of types is a set of types,
Figure BDA00022852348200001416
is to adjust network time points differently
Figure BDA00022852348200001417
A certain line type
Figure BDA00022852348200001418
The set of lines of (a) is,
Figure BDA00022852348200001419
is to adjust network time points differently
Figure BDA00022852348200001420
The line set provides a plurality of line network data for bus line network evaluation.
Transportation capacity and transportation quantity supply and demand analysis indexes: the public transport operation data module not only stores different adjustment network time points
Figure BDA00022852348200001421
Of a certain line type
Figure BDA00022852348200001422
Each line
Figure BDA00022852348200001423
Departure shift at each time t
Figure BDA00022852348200001424
And any sites storing them
Figure BDA00022852348200001425
Number of persons getting on and off
Figure BDA00022852348200001426
And
Figure BDA00022852348200001427
and between sites
Figure BDA00022852348200001428
Volume of bus
Figure BDA00022852348200001429
And data guarantee is provided for the evaluation of the transport capacity and the transport capacity of the public transport network.
(2) Each site or line type being calculated separately
Site type indexes:
the characteristic calculation module of the network provides static topological structure data for calculating the public traffic network, and relates to each area
Figure BDA00022852348200001430
At different adjusted network time points
Figure BDA00022852348200001431
Of a certain site type
Figure BDA00022852348200001432
The station coverage rate, the per-capita station coverage rate and the GDP station coverage rate are calculated by the following steps:
step 1: for each region
Figure BDA00022852348200001433
And a certain site type
Figure BDA00022852348200001434
Site aggregation
Figure BDA00022852348200001435
Query all site collections in the area
Figure BDA00022852348200001436
Namely, it is
Figure BDA00022852348200001437
Step 2: to pair
Figure BDA00022852348200001438
Calculating the circular coverage area range of each station according to the longitude and latitude coordinates of the station and a certain distance, such as 300 or 500 meters
Figure BDA00022852348200001439
Removing the overlapping part of the circular coverage area range of all the sites, and accumulating to obtain the area of the non-overlapping coverage area range of all the sites in the area, namely
Figure BDA0002285234820000151
And step 3: each region
Figure BDA0002285234820000152
At different adjusted network time points
Figure BDA0002285234820000153
A certain site type
Figure BDA0002285234820000154
The station coverage rate is
Figure BDA0002285234820000155
The coverage rate of the per-person station is
Figure BDA0002285234820000156
The GDP site coverage rate is
Figure BDA0002285234820000157
Line reachability index:
for a certain line type
Figure BDA0002285234820000158
Each region
Figure BDA0002285234820000159
The direct passenger proportion calculation method comprises the following steps:
step 1: for each region
Figure BDA00022852348200001510
Site aggregation HzQuery all site collections in the area
Figure BDA00022852348200001511
Namely, it is
Figure BDA00022852348200001512
Adjusting network time points to different
Figure BDA00022852348200001513
And a certain line type
Figure BDA00022852348200001514
Order to
Figure BDA00022852348200001515
Step 2: for any two sites
Figure BDA00022852348200001516
And
Figure BDA00022852348200001517
if there is every line
Figure BDA00022852348200001518
Satisfy the direct connection between the two sites, i.e.
Figure BDA00022852348200001519
The total number of passengers in the station pair, namely the total number of passengers in the whole day is calculated by combining the dynamic travel OD of each time interval
Figure BDA00022852348200001520
And step 3: continuously repeating the step 2 until all the station pairs are traversed and different network time points are output
Figure BDA00022852348200001521
Zone passenger total number of direct passengers at each time period
Figure BDA00022852348200001522
And 4, step 4: outputting different adjusted network time points
Figure BDA00022852348200001523
And a certain line type
Figure BDA00022852348200001524
Each region of
Figure BDA00022852348200001525
Has a direct passenger ratio of
Figure BDA00022852348200001526
For a certain line type
Figure BDA00022852348200001527
Region(s)
Figure BDA00022852348200001528
And
Figure BDA00022852348200001529
the method for calculating the proportion of the indirect passengers comprises the following steps:
step 1: for any two areas
Figure BDA00022852348200001530
And
Figure BDA00022852348200001531
site aggregation HzQuery their site collections
Figure BDA00022852348200001532
And
Figure BDA00022852348200001533
namely, it is
Figure BDA00022852348200001534
And
Figure BDA00022852348200001535
adjusting network time points to different
Figure BDA00022852348200001536
And a certain line type
Figure BDA00022852348200001537
Order to
Figure BDA00022852348200001538
Step 2: for any two sites in two areas
Figure BDA00022852348200001539
And
Figure BDA00022852348200001540
if there is every line
Figure BDA00022852348200001541
Satisfy the direct connection between the two sites, i.e.
Figure BDA00022852348200001542
The total number of passengers in the station pair, namely the total number of passengers in the whole day is calculated by combining the dynamic travel OD of each time interval
Figure BDA0002285234820000161
And step 3: continuously repeating the step 2 until all the station pairs between the two areas are traversed, and calculating different network adjusting time points
Figure BDA0002285234820000162
Of two zones of the passenger train, the total number of direct passengers of each time period
Figure BDA0002285234820000163
And 4, step 4: continuously repeating the step 1 until all the area pairs are traversed and network time points are adjusted at different time points
Figure BDA0002285234820000164
And a certain line type
Figure BDA0002285234820000165
Computing regions
Figure BDA0002285234820000166
To any other region
Figure BDA0002285234820000167
Total number of direct passengers between, i.e.
Figure BDA0002285234820000168
Transportation capacity and transportation quantity supply and demand analysis index
Calculating different network adjusting time points
Figure BDA0002285234820000169
And a certain line type
Figure BDA00022852348200001610
The dynamic space-time distribution of the transportation capacity and the transportation quantity supply and demand of the public transportation network, the calculation method mainly comprises the following steps:
step 1: for each region
Figure BDA00022852348200001611
Site aggregation HzQuery all site collections in the area
Figure BDA00022852348200001612
Namely, it is
Figure BDA00022852348200001613
Step 2: for any station
Figure BDA00022852348200001614
And a certain line type
Figure BDA00022852348200001615
Determining a set of lines to route to the site
Figure BDA00022852348200001616
By combining bus operation data, line is searched
Figure BDA00022852348200001617
At each time t through any station
Figure BDA00022852348200001618
Frequency of departure
Figure BDA00022852348200001619
Cross sectional flow
Figure BDA00022852348200001620
(
Figure BDA00022852348200001621
Representing the last adjacent station), determines the staying passenger flow or vehicle idle condition of the corresponding station, i.e.: if it is
Figure BDA00022852348200001622
The vehicle is idle for the time period; if it is
Figure BDA00022852348200001623
The passenger station of the time slot is detained.
And step 3: summarizing each region
Figure BDA00022852348200001624
A certain line type
Figure BDA00022852348200001625
Number of passenger staying stations in each time period t
Figure BDA00022852348200001626
And number of idle stations of vehicle
Figure BDA00022852348200001627
Calculating the unbalance degree of the transport capacity and the transport volume of each area, namely: the number of passenger staying stations in each area is divided by the number of idle stations of the vehicle
Figure BDA00022852348200001628
(3) Global feature analysis
Site class index
Each region
Figure BDA0002285234820000171
At different adjusted network time points
Figure BDA0002285234820000172
Has an overall site coverage of
Figure BDA0002285234820000173
The coverage rate of the per-person station is
Figure BDA0002285234820000174
The GDP site coverage rate is
Figure BDA0002285234820000175
Line reachability index
Each region
Figure BDA0002285234820000176
The direct passenger proportion calculation method comprises the following steps:
outputting different adjusted network time points
Figure BDA0002285234820000177
Each region of
Figure BDA0002285234820000178
Through toThe ratio of passengers is
Figure BDA0002285234820000179
Region(s)
Figure BDA00022852348200001710
And
Figure BDA00022852348200001711
the method for calculating the proportion of the indirect passengers comprises the following steps:
outputting different adjusted network time points
Figure BDA00022852348200001712
Each region of
Figure BDA00022852348200001713
To any other region
Figure BDA00022852348200001714
Total direct passenger ratio of
Figure BDA00022852348200001715
Transportation capacity and transportation quantity supply and demand analysis index
Summarizing each region
Figure BDA00022852348200001731
The imbalance degree of the total transport capacity and the transport capacity in each time period t is as follows: the number of passenger staying stations in each area is divided by the number of idle stations of the vehicle
Figure BDA00022852348200001716
(4) Difference between index longitudinal and transverse contrast
Transverse comparison: for a certain adjusted network time point
Figure BDA00022852348200001717
Respectively combining each site type
Figure BDA00022852348200001718
Site coverage of
Figure BDA00022852348200001719
Coverage rate of per-person stations
Figure BDA00022852348200001720
GDP site coverage
Figure BDA00022852348200001721
The site types and the overall characteristic difference of each index are displayed and compared on an area layer on the GIS at the same time in different colors; similarly, for a certain adjusted network time point
Figure BDA00022852348200001722
Respectively connecting each line type
Figure BDA00022852348200001723
Direct passenger ratio
Figure BDA00022852348200001724
Degree of imbalance between transport capacity and transport volume
Figure BDA00022852348200001725
And the different line types and the overall characteristic difference of each index are displayed and compared on an area layer on the GIS by different colors.
Longitudinal comparison: for a certain site type
Figure BDA00022852348200001726
And its general characteristics, respectively adjusting the adjacent network time points
Figure BDA00022852348200001727
Station coverage difference of
Figure BDA00022852348200001728
Difference in coverage of per-person sites
Figure BDA00022852348200001729
Difference in GDP site coverage
Figure BDA00022852348200001730
The index change difference is displayed and compared on an area layer on the GIS at the same time in different colors; for the same reason, for a certain line type
Figure BDA0002285234820000181
And its overall characteristics, respectively, of the difference between the direct passenger ratios of adjacent adjusted network time points
Figure BDA0002285234820000182
Difference in degree of imbalance between transport capacity and transport volume
Figure BDA0002285234820000183
And displaying in different color representations in the area layer on the GIS and comparing different line types and the overall characteristic difference of each index.
The invention adopts the measures for improvement, combines the topological structure and the passenger flow travel distribution of the practical public traffic network, reveals the relevance between the network schemes before and after different modifications and population economy and resident travel convenience from points, lines and surface layers, and performs multi-dimensional display from different perspectives, thereby assisting in optimizing and adjusting the public traffic network, improving the public traffic operation efficiency and providing data support for scientific planning and management of a public traffic system.
As shown in fig. 7, a bus network layout determining apparatus based on bus service level according to an embodiment of the present invention is described in detail as follows.
In the embodiment of the present invention, the device for determining a bus network layout based on a bus service level includes a city attribute information obtaining unit 710, a bus network feasible operation scheme obtaining unit 720, a service level determining unit 730, and a bus network layout determining unit 740 based on a bus service level.
The city attribute information obtaining unit 710 is configured to obtain city attribute information.
In an embodiment of the present invention, the city attribute information includes divided region information, and population information, area information, and total production value information of each divided region.
In the embodiment of the invention, the city attribute information can be directly collected and acquired in a big data mode, and the collection of the city attribute information can be automatically carried out and updated at any time without manual management of a user.
In the embodiment of the present invention, the divided regions are represented by a set S for the ith divided region SiIn other words, the demographic information is represented by piIndicating, area information in siExpressed, and the total value of production is in qiAnd (4) showing.
As a preferred embodiment of the present invention, the city attribute information further includes a total amount of travel for each divided region, wherein for the ith divided region SiIn other words, the total amount of travel in the area is odiAnd (4) showing.
The bus network feasible operation scheme obtaining unit 720 is configured to obtain at least one bus network feasible operation scheme.
In the embodiment of the invention, the feasible operation scheme of the public transport network refers to the overall layout of public transport lines of a city, and comprises station information and line information, wherein the station information comprises the divided region to which each station belongs and longitude and latitude information, and the line information comprises the route station of each line.
In the embodiment of the present invention, the site information is represented by a set H, and for a certain site H in the set H, the divided area to which the site belongs is represented by rhIt means that when the divided region of the site is the ith divided region, r is the sameh＝SiLongitude and latitude information of the station is represented by phAnd (4) showing.
In the embodiment of the present invention, the route information is represented by a set K, and for a certain route K in the set K, the route site on the route is represented by
Figure BDA0002285234820000191
Is shown, in particularWhen station h is on line k, this time
Figure BDA0002285234820000192
When the station h is not on the line k,
Figure BDA0002285234820000193
as a preferred embodiment of the present invention, for each site, the set O can be further utilized1Indicating the type of site, e.g. bay, first-stop, charging pile, etc., using the set O2The types of the lines, such as backbone lines, main lines, secondary lines, branch lines and the like, are represented, not only can the sites and the lines be integrally analyzed, but also local analysis can be carried out on the sites and the lines of different types according to different requirements of users, the sites and the lines of corresponding types only need to be extracted to replace the integral sites and lines in the data processing process, and the determined service level can be more accurate by combining the results of the integral analysis and the local analysis.
As a preferred embodiment of the present invention, further, line information and station information within preset time under different feasible operation schemes of the public transportation network can be obtained, and in the calculation process, the calculation can be performed in combination with the preset time.
As a preferred embodiment of the present invention, the route information further includes a trip amount between any two waypoint stations on each route, in terms of two waypoint stations h on route k1、h2h1、h2For example, the amount of travel at this time is as follows
Figure BDA0002285234820000201
And (4) showing.
As a preferred embodiment of the present invention, the route information further includes passenger capacity information of each route, departure frequency, and getting-on and getting-off amount of each route at each route site, wherein the passenger capacity of the route k is represented by CkIndicating that departure frequency is in fkRepresents, wherein at the pathway site hGet on the guest
Figure BDA0002285234820000202
Indicates the amount of passengers to be discharged
Figure BDA0002285234820000203
And (4) showing.
In the embodiment of the present invention, it is emphasized that all the specific numerical values may be determined and input according to experience evaluation before planning of the public transportation network, or may be captured and obtained by a big data system according to a real situation and adjusted in real time after the public transportation network is operated, and after the program is set, in the whole data reading process, high automation can be achieved, and there are few places requiring human processing.
The service level determining unit 730 is configured to determine a service level under a feasible operation scheme of each public transportation network based on the city attribute information.
In the embodiment of the present invention, the evaluation index of the service level includes a site coverage rate of each divided area.
As a preferred embodiment of the present invention, the evaluation index of the service level may further include a ratio of direct passenger traffic volume in each divided region and a balance between the traffic volume and the traffic capacity in each divided region, but accordingly, in the step of acquiring the city basic information and the feasible operation scheme of the traffic network, corresponding data needs to be acquired.
In the embodiment of the present invention, the service level determined under each feasible operation scheme of the public transportation network based on the city attribute information may be understood as a data processing module, and corresponding data can be read from the public transportation operation data module and the basic data module in which the data is stored, and the data is processed according to a predetermined program, so as to directly output a numerical result for representing the service level, so that a user can determine the advantages and disadvantages of different feasible operation schemes of the public transportation network according to the output numerical result.
In the embodiment of the present invention, the specific configurations are different if the evaluation indexes of different service levels are different from each other and the processing procedures are different from each other, and the service level determination unit for calculating the station coverage of each divided area is taken as an example below, and the configurations of the service level units for determining the proportion of the direct passenger traffic in each divided area and the traffic and capacity balance of each divided area can be determined by combining the contents provided in fig. 3 to 5.
The bus network layout determining unit 740 based on the bus service level is configured to determine a bus network operation scheme according to the service level under the feasible operation scheme of each bus network.
In the embodiment of the invention, through the data processing, the service level under the feasible operation scheme can be displayed in a numerical form, so that a user can intuitively determine the performance of the service level under the feasible operation scheme of each public transport network, and the operation scheme of the public transport network is determined.
After city attributes including the information of the divided areas and population information, area information and total production value information of each divided area are obtained, and at least one feasible operation scheme of the public transport network including the site information and the line information is obtained, the obtained data can be automatically processed, the site coverage rate of each divided area is directly obtained, the site coverage rate of each divided area is used as a quantitative index of the service level under the feasible operation scheme of each public transport network, and the operation scheme of the public transport network is further determined according to the service level under the feasible operation scheme of each public transport network. According to the method for determining the bus network layout based on the bus service level, provided by the embodiment of the invention, a decision support platform is established by combining big data and artificial intelligence, the city attribute can be automatically obtained, and after different bus network feasible operation schemes are input by a user, quantitative indexes for representing the service level under each bus network feasible operation scheme are automatically analyzed and obtained, so that the user can screen out the optimal bus network operation scheme according to the service level data.
Fig. 8 is a schematic structural diagram of a service level determining unit according to an embodiment of the present invention, which is described in detail below.
In this embodiment of the present invention, the service level determining unit is configured to calculate a site coverage rate, and specifically includes:
a contained site determining module 801, configured to determine a contained site of each divided area according to the divided area to which each site belongs.
In the embodiment of the present invention, for the ith divided region SiIn other words, the site-containing set of the divided region is obtained to
Figure BDA0002285234820000221
Is shown in which
Figure BDA0002285234820000222
The sites in the containing site set are containing sites.
A site coverage area determining module 802, configured to determine, according to the longitude and latitude information of each divided area, a site coverage area of each divided area according to a preset distance.
In the embodiment of the present invention, the station coverage area refers to a circular coverage area in which all position points in the station coverage area are less than the preset distance from any one of the included stations, that is, the included station is used as a center of a circle, and the preset distance is used as a radius, and for the ith division area SiFor the containing station h, to
Figure BDA0002285234820000223
Indicating its site coverage area.
In the embodiment of the present invention, the site coverage areas of different containing sites may overlap with each other, but in the calculation, the site coverage area of the repeated coverage is not calculated, that is, for the ith division area SiIn other words, its site coverage area
Figure BDA0002285234820000224
In the embodiment of the present invention, the preset distance may be set according to actual conditions, and preferably, the preset distance is set to 300m or 500 m.
A site coverage area attribute information determining module 803, configured to determine population information, area information, and total production value information of the site coverage areas of the divided areas.
In the embodiment of the invention, the site coverage area of each divided area is obtained
Figure BDA0002285234820000225
Then, the population information, the area information and the total production value information of the site coverage area of each divided area are obtained by utilizing big data, and the population information, the area information and the total production value information are respectively obtained
Figure BDA0002285234820000226
And
Figure BDA0002285234820000227
and (4) showing.
And a site coverage rate determining module 804, configured to determine the site coverage rate of each divided area according to the population information, the area information, and the total production value information of the site coverage area of each divided area, the population information, the area information, and the total production value information of each divided area.
In the embodiment of the present invention, the site coverage includes site population coverage, site area coverage and total production coverage, and the site coverage of each divided area is an evaluation index of a service level.
In the embodiment of the invention, for the ith division area, the site population coverage rate is determined by the population information of the site coverage area
Figure BDA0002285234820000231
And demographic information piIn contrast, the site area coverage is determined by the area information of the site coverage area
Figure BDA0002285234820000232
And area information siTotal production value coverage compared to total production value for site coverage area
Figure BDA0002285234820000233
And the total production value qiAnd (5) comparing and determining.
In one embodiment, a computer device is proposed, the computer device comprising a memory, a processor and a computer program stored on the memory and executable on the processor, the processor implementing the following steps when executing the computer program:
acquiring city attribute information, wherein the city attribute information comprises divided region information, population information, area information and total production value information of each divided region;
the method comprises the steps that at least one bus network feasible operation scheme is obtained, the bus network feasible operation scheme comprises station information and line information, the station information comprises the affiliated dividing area and longitude and latitude information of each station, and the line information comprises the route station of each line;
determining service level under a feasible operation scheme of each public traffic network based on the city attribute information, wherein evaluation indexes of the service level comprise station coverage rate of each divided area;
and determining the bus network operation scheme according to the service level under the feasible operation scheme of each bus network.
In one embodiment, a computer readable storage medium is provided, having a computer program stored thereon, which, when executed by a processor, causes the processor to perform the steps of:
acquiring city attribute information, wherein the city attribute information comprises divided region information, population information, area information and total production value information of each divided region;
the method comprises the steps that at least one bus network feasible operation scheme is obtained, the bus network feasible operation scheme comprises station information and line information, the station information comprises the affiliated dividing area and longitude and latitude information of each station, and the line information comprises the route station of each line;
determining service level under a feasible operation scheme of each public traffic network based on the city attribute information, wherein evaluation indexes of the service level comprise station coverage rate of each divided area;
and determining the bus network operation scheme according to the service level under the feasible operation scheme of each bus network.
It should be understood that, although the steps in the flowcharts of the embodiments of the present invention are shown in sequence as indicated by the arrows, the steps are not necessarily performed in sequence as indicated by the arrows. The steps are not performed in the exact order shown and described, and may be performed in other orders, unless explicitly stated otherwise. Moreover, at least a portion of the steps in various embodiments may include multiple sub-steps or multiple stages that are not necessarily performed at the same time, but may be performed at different times, and the order of performance of the sub-steps or stages is not necessarily sequential, but may be performed in turn or alternately with other steps or at least a portion of the sub-steps or stages of other steps.
It will be understood by those skilled in the art that all or part of the processes of the methods of the embodiments described above can be implemented by a computer program, which can be stored in a non-volatile computer-readable storage medium, and can include the processes of the embodiments of the methods described above when the program is executed. Any reference to memory, storage, database, or other medium used in the embodiments provided herein may include non-volatile and/or volatile memory, among others. Non-volatile memory can include read-only memory (ROM), Programmable ROM (PROM), Electrically Programmable ROM (EPROM), Electrically Erasable Programmable ROM (EEPROM), or flash memory. Volatile memory can include Random Access Memory (RAM) or external cache memory. By way of illustration and not limitation, RAM is available in a variety of forms such as Static RAM (SRAM), Dynamic RAM (DRAM), Synchronous DRAM (SDRAM), Double Data Rate SDRAM (DDRSDRAM), Enhanced SDRAM (ESDRAM), Synchronous Link DRAM (SLDRAM), Rambus Direct RAM (RDRAM), direct bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present invention, and the description thereof is more specific and detailed, but not construed as limiting the scope of the present invention. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the inventive concept, which falls within the scope of the present invention. Therefore, the protection scope of the present patent shall be subject to the appended claims.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents and improvements made within the spirit and principle of the present invention are intended to be included within the scope of the present invention.

Claims (9)

1. A bus network layout determination method based on a bus service level is characterized by comprising the following steps:
acquiring city attribute information, wherein the city attribute information comprises divided region information, population information, area information and total production value information of each divided region;
the method comprises the steps that at least one bus network feasible operation scheme is obtained, the bus network feasible operation scheme comprises station information and line information, the station information comprises the affiliated dividing area and longitude and latitude information of each station, and the line information comprises the route station of each line;
determining service level under a feasible operation scheme of each public traffic network based on the city attribute information, wherein evaluation indexes of the service level comprise station coverage rate of each divided area;
and determining the bus network operation scheme according to the service level under the feasible operation scheme of each bus network.
2. The method for determining a bus network layout based on bus service level as claimed in claim 1, wherein the step of determining the service level under each bus network feasible operation scheme based on the city attribute information specifically comprises:
determining the contained sites of each divided region according to the divided region to which each site belongs;
determining a station coverage area of each divided area according to longitude and latitude information containing stations of each divided area and a preset distance, wherein the station coverage area refers to the distance from all position points in the station coverage area to any station containing station and is smaller than the preset distance;
determining population information, area information and total production value information of site coverage areas of each divided area;
and determining the site coverage rate of each divided area according to the population information, the area information and the total production value information of the site coverage area of each divided area, the population information, the area information and the total production value information of each divided area, wherein the site coverage rate comprises the site population coverage rate, the site area coverage rate and the total production value coverage rate, and the site coverage rate of each divided area is an evaluation index of the service level.
3. The method as claimed in claim 1, wherein the city attribute information further includes total amount of trips in each divided area, the route information further includes trip amount between any two route stops on each route, the evaluation index of the service level further includes a ratio of the trip amount of immediate passengers in each divided area, and the step of determining the service level in each feasible operation scheme of the bus network based on the city attribute information further includes:
determining the contained sites of each divided region according to the divided region to which each site belongs;
determining a trip route containing the station according to the determined route station of each route, wherein the trip route refers to the route containing station of the trip route;
determining the trip amount of each station contained on each trip route according to the trip amount between any two stations on each route;
determining the total trip amount of each site containing the site;
determining the total quantity of regional trips of each divided region;
and determining the ratio of the direct passenger going volume of each divided region according to the total regional going volume of each divided region and the total going volume of each divided region, wherein the ratio of the direct passenger going volume of each divided region is an evaluation index of the service level.
4. The method as claimed in claim 1, wherein the line information further includes passenger carrying capacity information of each line, departure frequency, and getting-on and getting-off amount of each line on each route stop, the evaluation index of the service level further includes transportation amount and transportation balance of each divided area, and the step of determining the service level under the feasible operation scheme of each bus network based on the city attribute information further includes:
determining the contained sites of each divided region according to the divided region to which each site belongs;
determining the capacity line of each contained station according to the path station of each line, wherein the capacity line of the contained station refers to the capacity line path of the contained station;
determining the transport volume of each transport capacity line on each path site according to the loading volume and the unloading volume of each line on each path site;
acquiring the traffic volume of each traffic line on the inclusion site;
determining the traffic volume and the traffic balance information of each traffic line on the inclusion site according to the passenger capacity information, the departure frequency and the traffic volume of each traffic line on the inclusion site, wherein the traffic volume and the traffic balance information comprise traffic overload and traffic overload;
and determining the freight volume and the freight capacity balance degree of each divided area according to the freight volume and the freight capacity balance information of each freight capacity line on the containing site, wherein the freight volume and the freight capacity balance degree of each divided area are evaluation indexes of the service level.
5. The method as claimed in claim 4, wherein the step of determining the traffic volume and the traffic volume balance information of each traffic line on the inclusive station according to the passenger capacity information, the departure frequency and the traffic volume of each traffic line on the inclusive station comprises:
determining the transport capacity of each transport capacity line on the inclusion site according to the passenger carrying capacity information and the departure frequency of each line;
judging whether the transport capacity of each transport capacity line on the inclusion site and the transport capacity of each transport capacity line on the inclusion site meet a preset size relationship;
when the transport capacity of the transport capacity line on the inclusion site and the transport capacity of the transport capacity line on the inclusion site are judged to meet a preset size relation, determining that the transport capacity of the transport capacity line on the inclusion site is overloaded;
and when the capacity of the capacity line on the containing site and the capacity of the capacity line on the containing site do not meet the preset size relationship, determining that the capacity of the capacity line on the containing site is overloaded.
6. The method for determining the bus network layout based on the bus service level according to any one of claims 1 to 5, wherein before the step of determining the urban bus network operation scheme according to the service level under each bus network feasible operation scheme, the method further comprises:
and simultaneously comparing and displaying the service level of each bus network under the feasible operation scheme based on the gis graph layer technology.
7. A bus network layout determining device based on bus service level is characterized by comprising:
the system comprises a city attribute information acquisition unit, a city attribute information acquisition unit and a city attribute information processing unit, wherein the city attribute information acquisition unit is used for acquiring city attribute information which comprises divided region information, population information, area information and total production value information of each divided region;
the system comprises a bus net feasible operation scheme acquisition unit, a route information acquisition unit and a route information acquisition unit, wherein the bus net feasible operation scheme acquisition unit is used for acquiring at least one bus net feasible operation scheme, the bus net feasible operation scheme comprises station information and route information, the station information comprises the affiliated divided area and longitude and latitude information of each station, and the route information comprises the route station of each route;
the service level determining unit is used for determining the service level under the feasible operation scheme of each public transport network based on the city attribute information, and the evaluation index of the service level comprises the station coverage rate of each divided area;
and the bus network layout determining unit based on the bus service level is used for determining the bus network operation scheme according to the service level under the feasible operation scheme of each bus network.
8. The device of claim 7, wherein the service level determination unit comprises:
the contained site determining module is used for determining contained sites of each divided region according to the divided region to which each site belongs;
the station coverage area determining module is used for determining the station coverage area of each divided area according to the longitude and latitude information of each divided area, which contains the station, and the preset distance, wherein the station coverage area refers to the distance from all position points in the station coverage area to any station containing the station, which is smaller than the preset distance;
the system comprises a site coverage area attribute information determining module, a site coverage area information determining module and a site coverage area information determining module, wherein the site coverage area attribute information determining module is used for determining population information, area information and total production value information of a site coverage area of each divided area;
and the site coverage rate determining module is used for determining the site coverage rate of each divided area according to the population information, the area information and the total production value information of the site coverage area of each divided area, the population information, the area information and the total production value information of each divided area, wherein the site coverage rate comprises the site population coverage rate, the site area coverage rate and the total production value coverage rate, and the site coverage rate of each divided area is an evaluation index of the service level.
9. A computer arrangement comprising a memory and a processor, the memory having stored thereon a computer program which, when executed by the processor, causes the processor to carry out the steps of the method of determining a public transportation network topology based on bus service levels as claimed in any of claims 1 to 6.
CN201911157662.9A 2019-11-22 2019-11-22 Bus network layout determination method, device and equipment based on bus service level Pending CN110889622A (en)

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Application publication date: 20200317