CN103279669A - Method and system for simulating calculation of transport capacity of urban rail transit network - Google Patents

Abstract

The invention discloses a method and a system for simulating calculation of transport capacity of an urban rail transit network. The method includes the following steps: setting a simulation scene which includes network features, passenger flow features and a running chart; loading initial passenger flow generation quantity into a network; starting to simulate; calculating and outputting service levels of all lines and all stations; judging whether the service levels meet conditions for calculation stopping or not, if yes, displaying current total passenger flow quantity; and if not, adding added passenger flow into the network, then repeatedly executing simulation starting. The system comprises a scene setting module, an initializing module, a service level calculating module, a stopping condition judging module, a pressure adding module, a displaying module and a simulating module. By adopting the idea of pressure testing, using computer simulation as a means and taking the network service level into consideration, calculation quantity is reduced, and reliability of calculation results is improved.

Description

A kind of urban track traffic road network movement capacity emulated computation method and system

Technical field

The present invention relates to the emulated computation method of urban track traffic.More specifically, the present invention relates to a kind of urban track traffic road network movement capacity emulated computation method and system.

Background technology

At present, the method for calculating urban track traffic road network movement capacity both at home and abroad is less, mainly is to be calculated as background with line capacity, does not consider from the whole angle of road network.

In the existing computing method, the road network movement capacity is calculated based on graphical method and analytical calculations, and graphical method is by computing machine or hand simulation transportation production actual conditions shop picture route map of train, thereby determines the method for road network movement capacity.This method is more directly perceived, but calculated amount is big, and computation process is loaded down with trivial details, and result of calculation varies with each individual.Analytical calculations is on the basis that actual conditions are analyzed and researched, and by setting up mathematical model, utilizes mathematical formulae to calculate the method for road network movement capacity.Analytical calculations calculates simple and easy to do, highly versatile, but research object and influence factor have all been carried out certain simplification processing, and its result is bigger to the dependence of model, when model is comparatively complicated, the possibility of result and the actual result of using analytical calculations to find the solution differ bigger, and accuracy is not high.

And, the passenger flow feature is as one of influence factor of road network movement capacity, in calculating, the road network movement capacity plays an important role, but graphical method and analytical calculations all can not well be portrayed time and the spatial character of passenger flow, and computer emulation method can fully be simulated the situation that the pedestrian goes on a journey in the urban track traffic network, and is more approaching with actual conditions.

In addition, service level is the service quality that the passenger perceives, and this service level also affects the movement capacity of road network.Because only from objective angle, road network system can also increase the passengers quantity of transportation again, but from passenger's subjective angle, the degree of crowding has reached the limit of its tolerance, and other passengers can not enter in the system again.And existing additive method do not consider the requirement of service level, so the result of calculation reliability is on the low side when calculating the road network movement capacity.

Summary of the invention

The object of the invention is to provide a kind of urban track traffic road network movement capacity emulated computation method and system, when calculating given road network feature and passenger flow feature, and the urban track traffic road network movement capacity under certain service level condition.

Concrete technical scheme is as follows:

A kind of urban track traffic road network movement capacity emulated computation method may further comprise the steps:

Step 1, simulating scenes is set, this simulating scenes comprises road network feature, passenger flow feature and service chart;

Step 2, initial passenger flow generating capacity is loaded in the road network;

Step 3, beginning emulation, every passenger is by its trip characteristics trip;

Step 4, calculate and export the service level at each circuit and each station;

Step 5, judge whether described service level satisfies and calculate end condition that if satisfy, then execution in step 7, if do not satisfy, then execution in step 6;

Step 6, increase the increment passenger flow in the road network, execution in step 3 then;

Step 7, the described current total volume of the flow of passengers of demonstration, simulation calculation finishes.

Described passenger flow feature comprises that each od distributes to the day part volume of the flow of passengers that the intraday volume of the flow of passengers distributes and each od is right.

Described end condition comprises that circuit service level qualification rate surpasses first preset ratio and station service level qualification rate surpasses second preset ratio;

Described circuit service level qualification rate γ _LExpression, for:

${\mathrm{\γ}}_L=\frac{n_L}{N_L}$

Described station service level qualification rate γ _sExpression, for:

${\mathrm{\γ}}_s=\frac{n_s}{N_s}$

Wherein, n _LFor circuit service level in the road network reaches the number of lines of circuit LOS criteria grade and following grade thereof, N _LBe the circuit total number in the road network; n _sFor station service level in the road network reaches the station quantity of the number of lines of station LOS criteria grade and following grade thereof, N _sBe the station total quantity in the road network.

The service level that each circuit and each station were calculated and exported to described step 4 further comprises:

The described circuit service level weighted mean value L of the intraday load factor of circuit _LineWeigh, obtain by following formula successively:

$L_{\mathrm{line}}=\underset{k=1}{\overset{n-1}{\mathrm{\Σ}}}{l}_{\mathrm{fk}}{w}_k$

Wherein, use I _kOn the expression circuit k is interval, and n is the station number on this circuit, and n-1 is the interval number on this circuit, l _FkBe k interval intraday load factor weighted mean value, w _kBe l _FkWeight, 1≤k≤n-1.

Further, obtain described k interval intraday load factor weighted mean value l by following formula _Fk:

$l_{\mathrm{fk}}=\underset{s=1}{\overset{t}{\mathrm{\Σ}}}\frac{P_s}{C_s}\·{\mathrm{\δ}}_s$

Wherein, with interval I _kIntraday operation is divided into t time period, P _sBe interval I _kPassenger's total number of persons of train in s period, C _sBe interval I _kThe total passenger places number of train in s period, δ _sBe the load factor weight of s period, s=1,2 ... t.

Further, described station service level is weighed with platform carrying capacity utilization factor and the collecting and distributing time performance coeffcient of passenger, and the collecting and distributing time performance coeffcient of this platform carrying capacity utilization factor and passenger obtains by following formula:

$\mathrm{\α}=\frac{{\mathrm{\ρ}}_{\mathrm{average}}}{{\mathrm{\ρ}}_{\max }},$

And

$\mathrm{\β}=\frac{T_{\mathrm{average}}}{T_{\mathrm{free}}}$

Wherein, α represents platform carrying capacity utilization factor, and β represents the collecting and distributing time performance coeffcient of passenger, ρ _AverageBe the average passenger's density in station, ρ _MaxBe maximum station passenger's density, T _AverageBe average collecting and distributing time of passenger, T _FreeThe collecting and distributing time during for the free traveling of passenger.

Described step 6, increase the increment passenger flow in the road network and further comprise:

According to described each od the intraday volume of the flow of passengers is distributed, described increment passenger flow is assigned to each od to last, obtain the right increment passenger flow of each od;

The day part volume of the flow of passengers right according to described each od distributes, and the increment passenger flow that described od is right is assigned to this od on each right time period, obtains the increment passenger flow of this od to each period.

Further, described current total volume of the flow of passengers be adding of described initial passenger flow generating capacity and all increment passenger flows and.

The present invention also provides a kind of urban track traffic road network movement capacity simulation calculation system, and this system comprises:

The scene setting module is used for simulating scenes is set, and this simulating scenes comprises road network feature, passenger flow feature and service chart;

Initialization module is used for initial passenger flow generating capacity is loaded into road network;

Emulation module is used for every passenger of emulation by its trip characteristics trip;

The service level computing module is used for calculating and exporting the service level at each circuit and each station;

The end condition judge module is used for judging whether described service level satisfies the calculating end condition;

Pressure increases module, and being used for increases the increment passenger flow to road network;

Display module is used for showing described current total volume of the flow of passengers.

Described service level computing module is further used for according to following formula computational scheme service level:

$L_{\mathrm{line}}=\underset{k=1}{\overset{n-1}{\mathrm{\Σ}}}{l}_{\mathrm{fk}}{w}_k$

Wherein, use I _kOn the expression circuit k is interval, and n is the station number on this circuit, and n-1 is the interval number on this circuit, l _FkBe k interval intraday load factor weighted mean value, w _kBe l _FkWeight, 1≤k≤n-1, L _LineWeighted mean value for the intraday load factor of circuit;

Described service level computing module is further used for calculating described station service level according to following formula:

$\mathrm{\α}=\frac{{\mathrm{\ρ}}_{\mathrm{average}}}{{\mathrm{\ρ}}_{\max }},$

And

$\mathrm{\β}=\frac{T_{\mathrm{average}}}{T_{\mathrm{free}}}$

Wherein, α represents platform carrying capacity utilization factor, and β represents the collecting and distributing time performance coeffcient of passenger, ρ _AverageBe the average passenger's density in station, ρ _MaxBe maximum station passenger's density, T _AverageBe average collecting and distributing time of passenger, T _FreeThe collecting and distributing time during for the free traveling of passenger;

And described end condition judge module is further used for judging whether described circuit service level qualification rate surpasses first preset ratio and whether described station service level qualification rate surpasses second preset ratio;

Described circuit service level qualification rate γ _LExpression, for:

${\mathrm{\γ}}_L=\frac{n_L}{N_L}$

Described station service level qualification rate γ _sExpression, for:

${\mathrm{\γ}}_s=\frac{n_s}{N_s}$

Wherein, n _LFor circuit service level in the road network reaches the number of lines of circuit LOS criteria grade and following grade thereof, N _LBe the circuit total number in the road network; n _sFor station service level in the road network reaches the station quantity of the number of lines of station LOS criteria grade and following grade thereof, N _sBe the station total quantity in the road network.

Further, in the described scene setting module, described passenger flow feature comprises that each od distributes to the day part volume of the flow of passengers that the intraday volume of the flow of passengers distributes and each od is right.

Further, described pressure increases module, is further used for according to described each od the intraday volume of the flow of passengers being distributed, and described increment passenger flow is assigned to each od to last, obtains the right increment passenger flow of each od; And, being further used for distributing according to the right day part volume of the flow of passengers of described each od, the increment passenger flow that described od is right is assigned to this od on each right time period, obtains the increment passenger flow of this od to each period.

Further, in the described display module, described current total volume of the flow of passengers be adding of described initial passenger flow generating capacity and all increment passenger flows and.

Beneficial effect of the present invention is:

(1) the present invention has adopted the thought of pressure test, compares with Traditional calculating methods, has reduced calculated amount, makes operability strengthen.

(2) the present invention is the major technique means with the Computer Simulation, has portrayed temporal characteristics and the space characteristics of urban track traffic for passenger flow well.

(3) the present invention has considered this factor of road network service level, has improved the result of calculation reliability.

Description of drawings

Below with reference to accompanying drawings and in conjunction with the embodiments the present invention is specifically described.

Fig. 1 is method flow diagram of the present invention;

Fig. 2 is passenger flow time distribution situation synoptic diagram.

Embodiment

With reference to the accompanying drawings and by embodiments of the invention, technical scheme of the present invention is described in detail.

Urban track traffic road network movement capacity emulated computation method of the present invention and system have adopted the thought of pressure test, be the major technique means with the Computer Simulation, and under the condition of having considered service level, the urban track traffic road network movement capacity when calculating given road network feature and passenger flow feature.

Described system comprises that scene setting module, initialization module, service level computing module, end condition judge module, pressure increase module, display module and emulation module.

As shown in Figure 1, method of the present invention comprises the steps:

Step 1: by the simulating scenes that the scene setting module arranges according to user's request, this simulating scenes mainly comprises road network topology structure, road network passenger flow feature (comprising temporal characteristics and space characteristics), and the intraday service chart of road network.

Described road network topology structure mainly the show the way station that comprises on the number of lines, each line length, each bar circuit in the net, the information such as station spacing between each station, the road network topology structure has reflected described road network feature.

Described passenger flow feature comprises passenger flow spatial distribution characteristic and passenger flow period distribution characteristics, will describe respectively below.

The passenger flow space distribution refers to the space distribution situation of urban track traffic for passenger flow on the urban track traffic road network, be passenger flow on the road network distribution situation between each initial station and the Zhongdao station in road network, this distribution situation can be expressed as the distribution table of each od of road network as shown in table 1.

The distribution table of each od of table 1 road network

In this table, o represents initial station, and d represents the Zhongdao station, and i, j represent the numbering at initial sum Zhongdao station respectively, and n represents the sum at station, o _id _jThe volume of the flow of passengers of expression from initial station i to Zhongdao station j.When i=j, o _i=d _j, namely originating station and terminal station are same station, and o is arranged this moment _id _j=0.

In carrying out process of simulation, for the ease of in step 6, will be loaded at every turn increment passenger flow in the road network be assigned to each od on, the od distribution table of passenger flow can be deformed into the od distribution proportion matrix of passenger flow, and is as follows:

Total passenger flow generating capacity of supposing this road network is O, namely

$\underset{i=1}{\overset{n}{\mathrm{\Σ}}}\underset{j=1}{\overset{n}{\mathrm{\Σ}}}{o}_i{d}_j=O$

Then have

${\mathrm{\ω}}_v=\frac{o_i{d}_j}{O}$

Wherein, initial station i is that v od is right to Zhongdao station j, ω _vRepresent the volume of the flow of passengers ratio that this v od is right.

The passenger flow period distributes and refers to the distribution situation of road network passenger flow on the period.O in the table 1 _id _jExpression be from station i to the intraday volume of the flow of passengers of station j, be the numerical value of a static state, can not reflect the period feature that this od in a day distributes to the last volume of the flow of passengers, this v od is to being expressed as shown in Figure 2 in intraday period distribution characteristics.

Total operation period of one day is divided into the different periods, t among the figure ₁, t ₂..., t _q..., t _mRepresent each period in one day respectively, the period sum of m for dividing.

Expression t _qThe volume of the flow of passengers of period accounts for v od to volume of the flow of passengers o in a day _id _jRatio, then

Represent that this v od is at t _qThe volume of the flow of passengers of period.Among Fig. 2, the bottom side length kilsyth basalt of each dash area shows o _id _j, the base of dash area is equated, then the area of each dash area

Situation of change reflected the o of od in the road network _id _jThe period distribution characteristics of passenger flow.

Therefore, in the process of carrying out the simulating scenes setting, described passenger flow feature will be imported the od distribution proportion matrix of passenger flow respectively

With each od to the distribution proportion on the day part in a day

Because different times, as working day and festivals or holidays, the od distribution characteristics difference of road network passenger flow, therefore the period distribution proportion that the od distribution proportion matrix of input and each od are right is also different.The od distribution proportion matrix in a certain period can calculate by the historical data of adding up this road network same period, the period distribution proportion that each od is right also can draw by the right passenger flow period distribution characteristics of each od on the statistics road network, and the right period distribution proportion of different od may be different.

Described service chart mainly comprises information such as the section operation time-division, dwell time of departure interval, each train of each bar circuit in the road network.

Step 2: initial passenger flow generating capacity is loaded in the road network by initialization module.This initial passenger flow generating capacity is the passenger flow total amount that loads at the beginning in the road network, be one historical same period statistics mean value.Described initialization module OD will this initial passenger flow generating capacity multiply by each numerical value in the described od distribution proportion matrix, the matrix of consequence that draws is exactly the initial passenger flow od distribution matrix after loading, and this initial passenger flow od distribution matrix represents that each od is to last initial passenger flow generating capacity.

Step 3: in emulation module, begin emulation, in this module, use computer simulation technique, the situation of the actual trip of simulation passenger, every passenger goes on a journey from o to d in analogue system according to its trip characteristics, and this trip characteristics refers to starting point o, Zhongdao point d and the selected path of this passenger's trip.And, can fully simulate the trip situation of pedestrian in City Rail Transit System by Computer Simulation, comprise pedestrian's trip requirements, the od that goes on a journey, the behavior of trip routing etc.Time and space characteristics to passenger flow have carried out good portrayal.The passenger flow trip requirements of working day and festivals or holidays is different, and on the basis of this passenger flow trip, the movement capacity of road network is also inequality.

Step 4, calculate and export the service level at each circuit and each station by the service level computing module.

For a given circuit, the passengers quantity difference of its each interval each period transportation in a day, therefore its load factor is also inequality in each period in each interval of circuit, for the intraday average load factor of computational scheme, load factor mean value that should each interval of first computational scheme each period in one day calculates this circuit more accordingly at intraday load factor mean value.For trying to achieve each mean value of load factor, can adopt weighted-average method.

Suppose that certain bar circuit bus loading zone adds up to n, then interval number is n-1 on the circuit, available I ₁, I ₂, I ₃I _kI _N-1(each interval on the expression of the 1≤k≤n-1) circuit.Each time period is different in the value of the load factor that each is interval a day, and the division of time period can not fixed yet, and different intervals can have the different time periods to divide.Because each interval load factor situation of change is not necessarily identical, for example, the morning peak of interval A is 7 o'clock to 8 o'clock, and the morning peak of interval B is that 7 thirty are to 8 thirty.Such as for interval I _k, its intraday operation is divided into t time period, can determine the load factor weight δ of a certain period s according to the value of its load factor in intraday situation of change _s, interval I then _kAt intraday load factor weighted mean value be:

$l_{\mathrm{fk}}=\underset{s=1}{\overset{t}{\mathrm{\Σ}}}\frac{P_s}{C_s}\·{\mathrm{\δ}}_s$

In the formula, l _FkBe interval I _kAt intraday load factor weighted mean value, P _sBe interval I _kPassenger's total number of persons of train in s period, C _sInterval I _kThe total passenger places number of train in s period.

Determined interval I _kBehind intraday load factor weighted mean value, again according to each interval l _FkValue, the average load factor of determining each interval shared weight (this weight can be determined by for example expert's scoring) in the whole piece circuit is supposed interval I _kL _FkValue shared weight on the line is w _k, then circuit at intraday load factor weighted mean value is:

$L_{\mathrm{line}}=\underset{k=1}{\overset{n-1}{\mathrm{\Σ}}}{l}_{\mathrm{fk}}\·w_k$

l _LineValue can reflect the mean value of load factor in this circuit one day.l _LineValue more big, namely the average load factor of circuit is more big, then the passenger in the compartment is more crowded, the service level of circuit is also more poor; Otherwise the service level of circuit is more good.

Described station service level can be weighed with two indexs, is respectively platform carrying capacity utilization factor α and passenger performance coeffcient β of collecting and distributing time, is shown below:

$\mathrm{\α}=\frac{{\mathrm{\ρ}}_{\mathrm{average}}}{{\mathrm{\ρ}}_{\max }}$

$\mathrm{\β}=\frac{T_{\mathrm{average}}}{T_{\mathrm{free}}}$

Wherein, ρ _AverageBe the average passenger's density of platform, ρ _MaxBe maximum platform passenger density, T _AverageBe average collecting and distributing time of passenger, T _FreeThe collecting and distributing time during for the free traveling of passenger.This collecting and distributing time refers to that the passenger is entered the station to from the gate that enters the station and gets on the bus, and the time that spends when getting off the departures of departures gate.

Step 5, judge by the end condition judge module whether described service level satisfies and calculate end condition that if satisfy, then execution in step 7, if do not satisfy, then execution in step 6.

Step 6, increase module by pressure increase increment passenger flow (O represents with Δ) in road network, execution in step 3 then.

Step 7, show described current total volume of the flow of passengers by display module, simulation calculation finishes.

Described end condition comprises that circuit service level qualification rate surpasses first preset ratio and station service level qualification rate surpasses second preset ratio.The specified LOS criteria grade of qualified and user is relevant for described service level.

The grade scale of circuit service level is as shown in table 2, and station service level grade scale is as shown in table 3.

Table 2 circuit service level grade scale

Table 3 station service level grade scale

In table 2 and the table 3, grade A represents that service level is best, and grade E represents that service level is the poorest.At different cities, l _a, l _b, l _c, l _d, α _a, α _b, α _c, α _d, β _a, β _b, β _c, β _dValue may be different.

In the present invention, having specified circuit LOS criteria grade and station LOS criteria grade such as the user all is the B level, then qualified circuit service level and station service level should reach the B level or below.

Described circuit service level qualification rate γ _LExpression, for:

${\mathrm{\γ}}_L=\frac{n_L}{N_L}$

Described station service level qualification rate γ _sExpression, for:

${\mathrm{\γ}}_s=\frac{n_s}{N_s}$

Wherein, n _LFor circuit service level in the road network reaches the number of lines of B level and following grade thereof, N _LBe the circuit total number in the road network; n _sFor station service level in the road network reaches the station quantity of the number of lines of B level and following grade thereof, N _sBe the station total quantity in the road network.

Such as, first preset ratio and second preset ratio all are 80%, then described end condition is:

γ _L>80%&&γ _S>80%

In step 5, judge whether circuit service level and station service level satisfy above-mentioned end condition, if satisfy, then execution in step 7, show described current total volume of the flow of passengers, simulation calculation finishes.If do not satisfy, then execution in step 6, increase the increment passenger flow in road network, continue execution in step 3.

Increment passenger flow in the step 6 has embodied the thought of pressure test.General financial institution and the computer softwares of being used for of pressure test more, this thought principle is in the present invention: regard the track traffic road network as a pressure test object, with the increment passenger flow that loads as pressure, by continuous increase pressure to test the maximum load-carrying capacity of this road network, when road network reaches the edge (being end condition) of load-bearing capacity, can not increase pressure again, then Ci Shi pressure total amount is that current passenger flow total amount just is the movement capacity of this road network.

Particularly, at first according to each the numerical value ω in the od distribution proportion matrix ₁, ω ₂, ω ₃..., ω _v..., respectively increment Delta O is assigned to each od to last, namely v the right increment passenger flow of od is ω _vΔ O.

Further, according to the difference of each od to last passenger flow spatial and temporal distributions, the increment passenger flow further can be assigned to each od on the time periods different in one day.For example, v od is to representing that from station, Xizhimen-Fuchengmen station then its increment passenger flow is ω _vΔ O can be divided into it such as 7 time periods in one day, and the ratio that the volume of the flow of passengers of each time period accounts for the total amount of this od is

Then the generating capacity of each period is respectively

When the current total volume of the flow of passengers in the step 7 refers to that last algorithm finishes, the total number of persons in the road network, namely initial passenger flow generating capacity and all increment passenger flows add and.Calculate road network movement capacity in the following condition below by method and system of the present invention:

The first preset ratio γ _LWith the second preset ratio γ _SAll be 70%, circuit LOS criteria grade and station LOS criteria grade all are the B level

Step 1 arranges simulating scenes

(1) od distribution space distribution proportion table; The od time distributes, and supposes that the period distribution situation of each od is identical, mt=5, t ₁=t ₂=t ₃=t ₄=t ₅,

(2) road network feature, i.e. Beijing Metro 1,2,3,4,5,6,10,13, Batong Line, eight lines altogether;

(3) service chart (being timetable)

The initial passenger flow generating capacity of step 2 is made as 1000000 according to statistics;

Step 3 beginning emulation;

Step 4 each circuit service level of output and station service level;

Step 5 judges whether described service level satisfies the calculating end condition, if satisfy, then execution in step 7, if do not satisfy, then execution in step 6;

Step 6 increases the increment passenger flow in road network, increment passenger flow Δ O=50000, and execution in step 3 then

Step 7 finishes, and exporting current total volume of the flow of passengers is 4150000

In a working day, by Beijing Metro 1,2,4,5,8,10,13, Batong Line eight road networks that line is formed altogether, all be the B level in given service level grade, γ _LAnd γ _SAll be 70% o'clock, its movement capacity is 4150000 people.

Should be appreciated that the above detailed description of technical scheme of the present invention being carried out by preferred embodiment is illustrative and not restrictive.Those of ordinary skill in the art is reading on the basis of instructions of the present invention and can make amendment to the technical scheme that each embodiment puts down in writing, and perhaps part technical characterictic wherein is equal to replacement; And these modifications or replacement do not make the essence of appropriate technical solution break away from the spirit and scope of various embodiments of the present invention technical scheme.Protection scope of the present invention is only limited by the claims of enclosing.

Claims (10)

1. a urban track traffic road network movement capacity emulated computation method is characterized in that, may further comprise the steps:

Step 1, simulating scenes is set, this simulating scenes comprises road network feature, passenger flow feature and service chart;

Step 2, initial passenger flow generating capacity is loaded in the road network;

Step 3, beginning emulation, every passenger is by its trip characteristics trip;

Step 4, calculate and export the service level at each circuit and each station;

Step 5, judge whether described service level satisfies and calculate end condition that if satisfy, then execution in step 7, if do not satisfy, then execution in step 6;

Step 6, increase the increment passenger flow in the road network, execution in step 3 then;

Step 7, the described current total volume of the flow of passengers of demonstration, simulation calculation finishes.

2. a kind of urban track traffic road network movement capacity emulated computation method according to claim 1 is characterized in that,

Described passenger flow feature comprises that each od distributes to the day part volume of the flow of passengers that the intraday volume of the flow of passengers distributes and each od is right.

3. a kind of urban track traffic road network movement capacity emulated computation method according to claim 1 is characterized in that,

Described end condition comprises that circuit service level qualification rate surpasses first preset ratio and station service level qualification rate surpasses second preset ratio;

Described circuit service level qualification rate γ _LExpression, for:

${\mathrm{\γ}}_L=\frac{n_L}{N_L}$

Described station service level qualification rate γ _sExpression, for:

${\mathrm{\γ}}_s=\frac{n_s}{N_s}$

Wherein, n _LFor circuit service level in the road network reaches the number of lines of circuit LOS criteria grade and following grade thereof, N _LBe the circuit total number in the road network; n _sFor station service level in the road network reaches the station quantity of the number of lines of station LOS criteria grade and following grade thereof, N _sBe the station total quantity in the road network.

4. a kind of urban track traffic road network movement capacity emulated computation method according to claim 3 is characterized in that, the service level that each circuit and each station were calculated and exported to described step 4 further comprises:

The described circuit service level weighted mean value L of the intraday load factor of circuit _LineWeigh, obtain by following formula successively:

$L_{\mathrm{line}}=\underset{k=1}{\overset{n-1}{\mathrm{\Σ}}}{l}_{\mathrm{fk}}{w}_k$

Wherein, use I _kOn the expression circuit k is interval, and n is the station number on this circuit, and n-1 is the interval number on this circuit, l _FkBe k interval intraday load factor weighted mean value, w _kBe l _FkWeight, 1≤k≤n-1.

5. a kind of urban track traffic road network movement capacity emulated computation method according to claim 4 is characterized in that,

Obtain described k interval intraday load factor weighted mean value l by following formula _Fk:

$l_{\mathrm{fk}}=\underset{s=1}{\overset{t}{\mathrm{\Σ}}}\frac{P_s}{C_s}\·{\mathrm{\δ}}_s$

Wherein, with interval I _kIntraday operation is divided into t time period, P _sBe interval I _k, passenger's total number of persons of train in s period, C _sBe interval I _k, the total passenger places number of train in s period, δ _sBe the load factor weight of s period, s=1,2 ... t.

6. a kind of urban track traffic road network movement capacity emulated computation method according to claim 3 is characterized in that,

Described station service level is weighed with platform carrying capacity utilization factor and the collecting and distributing time performance coeffcient of passenger, and the collecting and distributing time performance coeffcient of this platform carrying capacity utilization factor and passenger obtains by following formula:

$\mathrm{\α}=\frac{{\mathrm{\ρ}}_{\mathrm{average}}}{{\mathrm{\ρ}}_{\max }},$

And

$\mathrm{\β}=\frac{T_{\mathrm{aveage}}}{T_{\mathrm{free}}}$

Wherein, α represents platform carrying capacity utilization factor, and β represents the collecting and distributing time performance coeffcient of passenger, ρ _AverageBe the average passenger's density in station, ρ _MaxBe maximum station passenger's density, T _AverageBe average collecting and distributing time of passenger, T _FreeThe collecting and distributing time during for the free traveling of passenger.

7. a kind of urban track traffic road network movement capacity emulated computation method according to claim 2 is characterized in that, described step 6, increases the increment passenger flow in the road network and further comprises:

According to described each od the intraday volume of the flow of passengers is distributed, described increment passenger flow is assigned to each od to last, obtain the right increment passenger flow of each od;

The day part volume of the flow of passengers right according to described each od distributes, and the increment passenger flow that described od is right is assigned to this od on each right time period, obtains the increment passenger flow of this od to each period.

8. a kind of urban track traffic road network movement capacity emulated computation method according to claim 1 is characterized in that,

Described current total volume of the flow of passengers be adding of described initial passenger flow generating capacity and all increment passenger flows and.

9. urban track traffic road network movement capacity simulation calculation system is characterized in that this system comprises:

The scene setting module is used for simulating scenes is set, and this simulating scenes comprises road network feature, passenger flow feature and service chart;

Initialization module is used for initial passenger flow generating capacity is loaded into road network;

Emulation module is used for every passenger of emulation by its trip characteristics trip;

The service level computing module is used for calculating and exporting the service level at each circuit and each station;

The end condition judge module is used for judging whether described service level satisfies the calculating end condition;

Pressure increases module, and being used for increases the increment passenger flow to road network;

Display module is used for showing described current total volume of the flow of passengers.

10. a kind of urban track traffic road network movement capacity simulation calculation according to claim 9 system is characterized in that,

Described service level computing module is further used for according to following formula computational scheme service level:

$L_{\mathrm{line}}=\underset{k=1}{\overset{n-1}{\mathrm{\Σ}}}{l}_{\mathrm{fk}}{w}_k$

Wherein, use I _kOn the expression circuit k is interval, and n is the station number on this circuit, and n-1 is the interval number on this circuit, l _FkBe k interval intraday load factor weighted mean value, w _kBe l _FkWeight, 1≤k≤n-1, L _LineWeighted mean value for the intraday load factor of circuit;

Described service level computing module is further used for calculating described station service level according to following formula:

$\mathrm{\α}=\frac{{\mathrm{\ρ}}_{\mathrm{average}}}{{\mathrm{\ρ}}_{\max }},$

And

$\mathrm{\β}=\frac{T_{\mathrm{aveage}}}{T_{\mathrm{free}}}$

Wherein, α represents platform carrying capacity utilization factor, and β represents the collecting and distributing time performance coeffcient of passenger, ρ _AverageBe the average passenger's density in station, ρ _MaxBe maximum station passenger's density, T _AverageBe average collecting and distributing time of passenger, T _FreeThe collecting and distributing time during for the free traveling of passenger;

And,

Described end condition judge module is further used for judging whether described circuit service level qualification rate surpasses first preset ratio and whether described station service level qualification rate surpasses second preset ratio;

Described circuit service level qualification rate γ _LExpression, for:

${\mathrm{\γ}}_L=\frac{n_L}{N_L}$

Described station service level qualification rate γ _sExpression, for:

${\mathrm{\γ}}_s=\frac{n_s}{N_s}$

Wherein, n _LFor circuit service level in the road network reaches the number of lines of circuit LOS criteria grade and following grade thereof, N _LBe the circuit total number in the road network; n _sFor station service level in the road network reaches the station quantity of the number of lines of station LOS criteria grade and following grade thereof, N _sBe the station total quantity in the road network.

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