CN110390437A - A kind of Regional Rail Network network timetable coordination optimizing method - Google Patents
A kind of Regional Rail Network network timetable coordination optimizing method Download PDFInfo
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Abstract
The invention discloses a kind of Regional Rail Network network timetable coordination optimizing methods, comprising the following steps: determines the network for carrying out timetable coordination, obtains basic data, determines that multiple timetables coordinate alternative；Station environmental modeling is carried out by basic data, obtains station environmental model；Pedestrian behavior modeling is carried out by station environmental model and basic data, obtains pedestrian behavior model；Train behavior modeling is carried out by basic data, obtains train behavior model；Train agent model and pedestrian's agent model are obtained by train behavior model and pedestrian behavior model；Statistical model is obtained by station environmental model, pedestrian's agent model and train agent model；Multiple timetables are obtained by statistical model coordinate platform areal concentration, average waiting time and the completion of alternatives and wait total number of persons, obtain optimal time table after assessing.The present invention can be realized the coordination of optimal region Rail traffic network timetable.
Description
Technical field
The invention belongs to field of track traffic, and in particular to a kind of Regional Rail Network network timetable coordination optimization side
Method.
Background technique
Regional Rail Network network timetable is coordinated i.e. by adjusting the arrival timing of different trains to different stations with reality
Existing all directions passenger changes to rapid and convenient, improves network overall operation efficiency.Each line of Regional Rail Transit under network context
Between the factors such as timing, the dwell time that road interval, different train get to the station it is mutually coordinated to network integrity service level have to
Important influence is closed, since the change difficulty of network transport organization scheme is larger, needs to guarantee as far as possible before being implemented to coordinate
The validity of scheme.And the research that prior art is coordinated for Regional Rail Network network timetable is mostly built based on theory analysis
The method of vertical static mathematical model solves, due to the limitation of mathematical model, for the random variation of passenger flow, rail in optimization process
The factors such as the dynamical output of the network effects of road traffic and data all fail to fully consider, result in existing Regional Rail Transit
It is not high that Network timetable coordinates precision.
Summary of the invention
For above-mentioned deficiency in the prior art, a kind of Regional Rail Network network timetable coordination provided by the invention is excellent
It is not high that change method solves the problems, such as that existing Regional Rail Network network timetable coordinates precision.
In order to achieve the above object of the invention, a kind of the technical solution adopted by the present invention are as follows: Regional Rail Network network moment
Table coordination optimizing method, comprising the following steps:
S1, it determines the Regional Rail Network network for carrying out timetable coordination, obtains basic data；
S2, determine that multiple timetables coordinate alternative；
S3, the service facility towards passenger in the environment of station is drawn by basic data, carries out station environmental modeling, obtained
Station environmental model；
S4, pedestrian behavior modeling is carried out by station environmental model and basic data, obtains pedestrian behavior model；
S5, train behavior modeling is carried out by basic data, obtains train behavior model；
S6, agent based modeling is carried out by train behavior model and pedestrian behavior model, obtain train agent model and
Pedestrian's agent model；
S7, statistical modeling is carried out by station environmental model, pedestrian's agent model and train agent model, obtains system
Count model；
S8, platform areal concentration, the average waiting time that multiple timetables coordinate alternative are obtained by statistical model
It waits total number of persons with completion, obtains optimal time table.
Preferably, the basic data includes that station physical environment layout, passenger flow data, passenger transportation management's scheme, train are opened
Row scheme, timetable and train capacity；
The service facility includes enter the station gate, outbound gate, ticket machine, artificial ticket pavilion, safety check and building staircase.
Preferably, the step S3 include it is following step by step:
S3.1, it is laid out by station physical environment and draws the coverage towards passenger in the environment of station；
S3.2, station environmental model is obtained by coverage.
Preferably, the step S4 include it is following step by step:
S4.1, the behavior flow chart of pedestrian AT STATION is determined by station environmental model and passenger transportation management's scheme；
S4.2, pedestrian behavior model is obtained by pedestrian behavior flow chart.
Preferably, pedestrian behavior includes enter the station pedestrian behavior, outbound pedestrian behavior and transfer in the pedestrian behavior model
Pedestrian behavior.
Preferably, the step S5 include it is following step by step:
The residence time of S5.1, the runing time that train is obtained by timetable and train in platform；
S5.2, pass through train procurement of reserve capacity train capacity；
S5.3, residence time and train procurement of reserve capacity train behavior mould according to the runing time, train of train in platform
Type.
Preferably, pedestrian's agent model includes that safety check module, passenger's selection building staircase module and passenger select to wait
Vehicle regions module, the train agent model include timetable module and train capacity limit module；
The safety check module includes two parts, and a part has transportation adopt responsible crew system visitor to be placed on luggage to there is the objective safety check behavior of transportation adopt responsible crew system
Conveyer belt simultaneously carries out hand inspection, and another part is without the objective safety check behavior of transportation adopt responsible crew system, and no transportation adopt responsible crew system visitor goes to the lock that enters the station after directly carrying out hand inspection
Machine；
It includes two parts that the passenger, which selects building staircase module, and a part is root in the optional building staircase of passenger AT STATION
Whole according to existing pedestrian's quantity and apart from selection building staircase, another part, which is passenger, to be had pedestrian's number and determines according to having selected in staircase
Select staircase or stair；
Passenger selection, which is waited, waits regional environment in regions module by entering line, leaving line and rectangular area forms,
It is divided into two parts, and a part is passenger waits region according to region number selection of waiting, and another part is passenger according to waiting
The distance in vehicle region selects region of waiting；
The moment table model is contacted different stations by timetable for realizing each independent station collaboration one
Come and train behavior is controlled with pedestrian behavior；
The region of waiting that the train capacity limit module is used to calculate a station can enter the number of train, can enter
The number of train has number by train capacity limit and train and determines.
Preferably, the statistical model output data is that platform areal concentration, passenger's average waiting time and completion are waited
Total number of persons；The platform areal concentration is obtained by wait region and pedestrian's model of mind of the passenger in the environment module of station；Institute
It states passenger's average waiting time to obtain by pedestrian's agent model and train agent model, completion total number of persons of waiting is logical
It crosses pedestrian's agent model and train agent model obtains.
The invention has the benefit that can intuitively observe different moments table by the method for building network simulation model
Influence of the scheme to network overall operation situation simultaneously directly exports corresponding data, while can neatly change parameter and optimize
Equal work provide new solution for Network timetable coordination.The present invention possesses very strong flexibility, and adjustment different parameters are
It may be used in varying environment, can be visual strong with real-time exhibition effect, statistical data can be exported in real time, construct network mould
Type considers the network effects of Regional Rail Transit system.
Detailed description of the invention
Fig. 1 is a kind of Regional Rail Network network timetable coordination optimizing method proposed by the present invention.
Fig. 2 is pedestrian behavior logical schematic proposed by the present invention.
Fig. 3 is train Action logic schematic diagram proposed by the present invention.
Fig. 4 is safety check module logic schematic diagram proposed by the present invention.
Fig. 5 is area schematic proposed by the present invention of waiting.
Specific embodiment
A specific embodiment of the invention is described below, in order to facilitate understanding by those skilled in the art this hair
It is bright, it should be apparent that the present invention is not limited to the ranges of specific embodiment, for those skilled in the art,
As long as various change is in the spirit and scope of the present invention that the attached claims limit and determine, these variations are aobvious and easy
See, all are using the innovation and creation of present inventive concept in the column of protection.
One embodiment of the present of invention is described in detail with reference to the accompanying drawing.
As shown in Figure 1, a kind of Regional Rail Network network timetable coordination optimizing method, comprising the following steps:
S1, it determines the Regional Rail Network network for carrying out timetable coordination, obtains basic data；
S2, determine that multiple timetables coordinate alternative；
S3, the service facility towards passenger in the environment of station is drawn by basic data, carries out station environmental modeling, obtained
Station environmental model；
S4, pedestrian behavior modeling is carried out by station environmental model and basic data, obtains pedestrian behavior model；
S5, train behavior modeling is carried out by basic data, obtains train behavior model；
S6, agent based modeling is carried out by train behavior model and pedestrian behavior model, obtain train agent model and
Pedestrian's agent model；
S7, statistical modeling is carried out by station environmental model, pedestrian's agent model and train agent model, obtains system
Count model；
S8, platform areal concentration, the average waiting time that multiple timetables coordinate alternative are obtained by statistical model
It waits total number of persons with completion, obtains optimal time table.
It is different that the multiple timetable coordinates alternative parameter.
The present embodiment passes through Anylogic software building Regional Rail Network network timetable Coordination Model, embedded society
Meeting power model can better meet the demand of network simulation, then analyze to timetable coordination by the output of emulation data and grind
Study carefully, obtains Regional Rail Network network optimal time table.
S1, it determines the network for carrying out timetable coordination, obtains basic data.
The basic data include station physical environment layout, passenger flow data, passenger transportation management's scheme, train running scheme,
Timetable and train capacity need to set timetable and train capacity limit in the present embodiment.
S2, determine that multiple timetables coordinate alternative, it is different that the multiple timetable coordinates alternative parameter.
Timetable coordinates alternative and considers whether the limit for peak period and installations and facilities, uses variable for emulation
The time interval of every route first train arrival time and train between adjacent platform in period.
S3, the coverage towards passenger in the environment of station is drawn by basic data, carries out station environmental modeling, obtained
Station environmental model.
The step S3 include it is following step by step:
S3.1, it is laid out by station physical environment and draws the coverage towards passenger in the environment of station；
S3.2, station environmental model is obtained by coverage.
In the present embodiment, physical environment layout in station is that CAD diagram is arranged at station, arranges that CAD diagram determines face according to station
To the coverage of passenger, and describe station environment using space mark module in Anylogic pedestrian library, obtains station ring
Border model.It completes to be configured module attribute after station environment is described in software, in properties interface setting links
Concrete property, including queuing policy, passenger reach basis and passenger and wait feature.Queuing policy indicates First Come First Served, passenger
It reaching according to indicating that passenger reaches distribution, the passenger character representation passenger that waits waits in region of waiting, in this embodiment, Cheng Kehou
Vehicle feature attracts subparameter to realize by being arranged in simulation software.
S4, pedestrian behavior modeling is carried out by station environmental model and basic data, obtains pedestrian behavior model；
The step S4 include it is following step by step:
S4.1, the behavior flow chart of pedestrian AT STATION is determined by station environmental model and passenger transportation management's scheme；
S4.2, pedestrian behavior model is obtained by pedestrian behavior flow chart.
Pedestrian behavior model mainly establishes the logic behavior of pedestrian AT STATION, first true according to passenger transportation management's scheme at station
Determine pedestrian behavior flow chart, and pedestrian behavior flow chart is converted into the identifiable pedestrian's logic chart of software, passes through Anylogic
Three kinds of software building basic pedestrian's Action logic figures, establish pedestrian behavior model.
As shown in Fig. 2, the basic pedestrian's Action logic figure of three kinds of pedestrian, pedestrian behavior be respectively enter the station pedestrian behavior, go out
Stand pedestrian behavior and transfer pedestrian behavior.
S5, train behavior modeling is carried out by basic data, obtains train behavior model；
The step S5 include it is following step by step:
The residence time of S5.1, the runing time that train is obtained by timetable and train in platform；
S5.2, pass through train procurement of reserve capacity train capacity；
S5.3, residence time and train procurement of reserve capacity train behavior mould according to the runing time, train of train in platform
Type.
As shown in figure 3, being built according to the runing time of the train in train running scheme and train in the residence time of platform
Vertical train basic logic figure, obtains train behavior model.
In the present embodiment, the module that Train modeling uses is mainly in track library, and in Train Source mould
Interval time and the number of carriages of train arrival can be defined in block.In Train Move To module definition column Chinese herbaceous peony into
Position.Is set in Delay module, which limit the upper limits of train capacity the train dwelling time.
S6, agent based modeling is carried out by train behavior model and pedestrian behavior model, obtain train agent model and
Pedestrian's agent model；
Anylogic software agent modeling function may be implemented in simulated environment each entity setting up inherent parameters,
The method expansion module function that can be programmed simultaneously by Java.Agent model includes safety check module, passenger in the present embodiment
Selection building staircase module, passenger select wait regions module, timetable module and train capacity limit module.
In the present embodiment, safety check module is obtained by pedestrian's agent model, passenger selects building staircase module, Cheng Kexuan
Regions module of waiting is selected, timetable module and train capacity limit module are obtained by train agent model.
The safety check module includes two parts, and a part has transportation adopt responsible crew system visitor to be placed on luggage to there is the objective safety check behavior of transportation adopt responsible crew system
Conveyer belt simultaneously carries out hand inspection, and another part is without the objective safety check behavior of transportation adopt responsible crew system, and no transportation adopt responsible crew system visitor goes to the lock that enters the station after directly carrying out hand inspection
Machine.
In the present embodiment, the process of safety check module is as follows:
A1, passenger search for safety check queue, judge whether safety check queue number is minimum；
A2, safety check number be not most it is few then repeat step A1, otherwise, it is determined whether carry luggage；
A3, the passenger for carrying luggage carry out luggage security check and pedestrian's safety check, the passenger for not carrying luggage only carry out pedestrian's peace
Inspection.
It as described in Figure 4, is the safety check module for passing through software encapsulation.
It includes two parts that the passenger, which selects building staircase module, and a part is root in the optional building staircase of passenger AT STATION
According to existing pedestrian's quantity and apart from selection building staircase entirety, another part is that passenger determines according to pedestrian's number existing in the building Yi Xuan staircase
Surely staircase or stair are selected.
In the present embodiment, passenger selects the process of building staircase module as follows:
B1, passenger search for a building staircase, and judge that the building staircase has whether pedestrian's number is more than its threshold value；
B2, more than helping the threshold value of stair then to re-execute B1, be less than its threshold value then judge building staircase to pedestrian distance
Whether recently；
If B3, apart from nearest, B4 is entered step；Otherwise, return step B1；
B4, judge staircase number whether be more than staircase threshold value, be less than its threshold value and then select staircase；Otherwise building is selected
Ladder.
It is different that the step B1 executes selected building staircase every time.
Regional environment is waited by entering line, leaving line and rectangular area in regions module as shown in figure 5, passenger's selection is waited
Composition, is divided into two parts, and a part is passenger waits region according to region number selection of waiting, another part be passenger according to
Distance to region of waiting selects region of waiting.
In the present embodiment, passenger selection wait regions module process it is as follows:
C1, passenger search for a region of waiting, and judge whether the region number of waiting is more than its threshold value；
C2, more than waiting, region threshold then re-execute the steps C1, is less than whether most its threshold value then judges to wait region
Closely；
If C3, apart from nearest, wait region into selection；Otherwise return step C1.
The step C1 executes selected region difference of waiting every time.
The moment table model is contacted different stations by timetable for realizing each independent station collaboration one
Come and train behavior is controlled with pedestrian behavior；
In the present embodiment, it realizes that passenger gets to the station by inject function at the time of train reaches, uses simultaneously
StopDelayForAll terminates the behavior of waiting of current passenger.
The region of waiting that the train capacity limit module is used to calculate a station can enter the number of train, can enter
The number of train has number by train capacity limit and train and determines.
In the present embodiment, train capacity limit needs to realize by the combination of " Ped Wait " and " Delay " module.
The maximum capacity of " Delay " module, which represents region of currently waiting, can enter the number of train, mainly by train capacity limit
Has number joint effect with train.Enter the number of train in each station record and calculate train and has passengers quantity to set
Postpone the maximum capacity of station " Delay " module.In the present embodiment, there are two station A, B, A to B is down direction, down direction B
Platform can enter that the number of train stands existing ridership in A by train and the station A is got on or off the bus number co-determination.
S7, statistical modeling is carried out by station environmental model, pedestrian's agent model and train agent model, obtains system
Count model；
Statistical model output data is that platform areal concentration, passenger's average waiting time and completion are waited total number of persons；It is described
Platform areal concentration is obtained by wait region and pedestrian's model of mind of the passenger in the environment module of station；The passenger averagely waits
The vehicle time is obtained by pedestrian's agent model and train agent model, and completion total number of persons of waiting passes through pedestrian's intelligent body
Model and train agent model obtain.
In the present embodiment, platform areal concentration, passenger's average waiting time and completion wait total number of persons acquisition process such as
Under:
(1) it platform region maximal density: is depicted respectively first with the rectangular area in environmental modeling with polygonal region
Platform range selects corresponding region using " the Ped Area Descriptor " in pedestrian library later, adds from statistical function
" Data Set " module is added to store density data, value is density ().
(2) passenger's average waiting time: " the Time in process library is added respectively at the process both ends for needing time of measuring
Measure Start " module and " Time Measure End " module, time data will be with the shape of data set after model running
Formula is stored in " Time Measure End " module.
(3) it completes total number of persons of waiting: completing the pedestrian to wait in " Ped Wait " statistical system using count () function
Quantity.
" Excel File " module is utilized to enter data into excel table after counting three kinds of data, wherein platform area
Domain maximal density and passenger waiting time are all data set form data, are inputted with writeDataSet (), pedestrian's quantity statistics
It needs to be inputted with writeFile ().
S8, platform areal concentration, the average waiting time that multiple timetables coordinate alternative are obtained by statistical model
It waits total number of persons with completion, obtains optimal time table.
In the present embodiment, multiple timetables are coordinated into the platform areal concentration of alternative, average waiting time and complete
After being obtained at total number of persons of waiting, three kinds of data are compared, obtain optimal time table.Wherein, in morning peak period and evening
Peak period, it is considered preferred to platform areal concentration minimum and completion wait total number of persons it is most at the time of table coordinate alternative conduct
Optimal time table；In off-peak period, it is considered preferred to which the smallest timetable of average waiting time coordinates alternative as optimal
Timetable, the simulation software that the present embodiment is selected embed associated row human occupant dynamic model, have adequately to randomness in simulations
Consider.
The operation principle of the present invention is that: determine that timetable coordinates alternative, different schemes parameters is different, in conjunction with station
Physical environment layout carries out the work of station environmental modeling, draws the service facility towards passenger in the environment of station comprising disengaging
It stands gate, ticket machine, artificial ticket pavilion, safety check and building staircase.Pedestrian behavior modeling, In are carried out on the basis of environmental modeling AT STATION
Pedestrian behavior and station environment are corresponded in pedestrian behavior modeling process.Train modeling is carried out, is needed while Train modeling
Timetable and train capacity limit are set.Carry out agent based modeling, to pedestrian behavior modeling in correlation function into
Row extension.Statistical modeling is carried out, different statisticals is selected in conjunction with output data difference.Carry out timetable coordinate scheme pair
Than being emulated respectively to different alternatives, being compared by counting output data to different schemes, obtain optimal time
Table.
The present invention can intuitively observe that different moments table scheme is whole to network by the method for building network simulation model
The influence of running body situation simultaneously directly exports corresponding data, while can neatly change parameter and the work such as optimize, for net
Network timetable is coordinated to provide new solution.The present invention possesses very strong flexibility, and adjustment different parameters may be used on not
, can be visual strong with real-time exhibition effect in environment, statistical data can be exported in real time, and building network model considers area
The network effects of domain Rail Transit System.
Claims (8)
1. a kind of Regional Rail Network network timetable coordination optimizing method, which comprises the following steps:
S1, it determines the Regional Rail Network network for carrying out timetable coordination, obtains basic data；
S2, determine that multiple timetables coordinate alternative；
S3, the service facility towards passenger in the environment of station is drawn by basic data, carries out station environmental modeling, obtain station
Environmental model；
S4, pedestrian behavior modeling is carried out by station environmental model and basic data, obtains pedestrian behavior model；
S5, train behavior modeling is carried out by basic data, obtains train behavior model；
S6, agent based modeling is carried out by train behavior model and pedestrian behavior model, obtains train agent model and pedestrian
Agent model；
S7, statistical modeling is carried out by station environmental model, pedestrian's agent model and train agent model, obtains statistics mould
Type；
S8, multiple timetables are obtained by statistical model coordinate the platform areal concentrations of alternatives, average waiting time and complete
At total number of persons of waiting, optimal time table is obtained.
2. a kind of Regional Rail Network network timetable coordination optimizing method according to claim 1, which is characterized in that institute
Stating basic data includes station physical environment layout, passenger flow data, passenger transportation management's scheme, train running scheme, timetable and column
Appearance of vehicle amount；
The service facility includes enter the station gate, outbound gate, ticket machine, artificial ticket pavilion, safety check and building staircase.
3. a kind of Regional Rail Network network timetable coordination optimizing method according to claim 2, which is characterized in that institute
State step S3 include it is following step by step:
S3.1, it is laid out by station physical environment and draws the coverage towards passenger in the environment of station；
S3.2, station environmental model is obtained by coverage.
4. a kind of Regional Rail Network network timetable coordination optimizing method according to claim 2, which is characterized in that institute
State step S4 include it is following step by step:
S4.1, the behavior flow chart of pedestrian AT STATION is determined by station environmental model and passenger transportation management's scheme；
S4.2, pedestrian behavior model is obtained by pedestrian behavior flow chart.
5. a kind of Regional Rail Network network timetable coordination optimizing method according to claim 2, which is characterized in that institute
Stating pedestrian behavior in pedestrian behavior model includes enter the station pedestrian behavior, outbound pedestrian behavior and transfer pedestrian behavior.
6. a kind of Regional Rail Network network timetable coordination optimizing method according to claim 2, which is characterized in that institute
State step S5 include it is following step by step:
The residence time of S5.1, the runing time that train is obtained by timetable and train in platform；
S5.2, pass through train procurement of reserve capacity train capacity；
S5.3, residence time and train procurement of reserve capacity train behavior model according to the runing time, train of train in platform.
7. a kind of Regional Rail Network network timetable coordination optimizing method according to claim 2, which is characterized in that institute
Stating pedestrian's agent model includes that safety check module, passenger's selection building staircase module and passenger select regions module of waiting, the column
Vehicle agent model includes timetable module and train capacity limit module；
The safety check module includes two parts, and a part has transportation adopt responsible crew system visitor that luggage is placed on transmission to there is the objective safety check behavior of transportation adopt responsible crew system
Band simultaneously carries out hand inspection, and another part is without the objective safety check behavior of transportation adopt responsible crew system, and no transportation adopt responsible crew system visitor goes to the gate that enters the station after directly carrying out hand inspection；
It includes two parts that the passenger, which selects building staircase module, and a part is in the optional building staircase of passenger AT STATION according to
There is pedestrian's quantity and whole apart from selection building staircase, another part, which is passenger, to be had pedestrian's number and determine selection according to having selected in staircase
Staircase or stair；
Passenger selection, which is waited, waits regional environment in regions module by entering line, leaving line and rectangular area forms, point
For two parts, a part is passenger waits region according to region number selection of waiting, and another part is passenger according to the area that waits
The distance in domain selects region of waiting；
The moment table model is connected at different stations simultaneously by timetable for realizing each independent station collaboration one
Train behavior is controlled with pedestrian behavior；
The region of waiting that the train capacity limit module is used to calculate a station can enter the number of train, can enter train
Number have number by train capacity limit and train and determine.
8. a kind of Regional Rail Network network timetable coordination optimizing method according to claim 3, which is characterized in that institute
Stating statistical model output data is that platform areal concentration, passenger's average waiting time and completion are waited total number of persons；The platform area
Domain density is obtained by wait region and pedestrian's model of mind of the passenger in the environment module of station；Passenger's average waiting time
Obtained by pedestrian's agent model and train agent model, the completion wait total number of persons by pedestrian's agent model and
Train agent model obtains.
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| CN113469065A (en) * | 2021-07-05 | 2021-10-01 | 信阳农林学院 | Image acquisition processing method and system based on artificial intelligence and storage medium |
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| CN113469065A (en) * | 2021-07-05 | 2021-10-01 | 信阳农林学院 | Image acquisition processing method and system based on artificial intelligence and storage medium |
| CN113469065B (en) * | 2021-07-05 | 2022-11-01 | 信阳农林学院 | Image acquisition processing method and system based on artificial intelligence and storage medium |
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