CN102129522A - Method for quickly identifying and eliminating transportation capacity bottleneck of high-speed railway - Google Patents

Method for quickly identifying and eliminating transportation capacity bottleneck of high-speed railway Download PDF

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CN102129522A
CN102129522A CN 201110064722 CN201110064722A CN102129522A CN 102129522 A CN102129522 A CN 102129522A CN 201110064722 CN201110064722 CN 201110064722 CN 201110064722 A CN201110064722 A CN 201110064722A CN 102129522 A CN102129522 A CN 102129522A
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bottleneck
capacity
utilization ratio
value
train
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CN102129522B (en
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李得伟
韩宝明
李晓娟
贾利民
刘军
李华
刘敏
郭然
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Beijing Jiaotong University
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Abstract

The invention relates to a method for quickly identifying and eliminating the transportation capacity bottleneck of a high-speed railway, comprising the following steps: A. on the basis of taking each station and section on a researched line as research objects, successively obtaining the capacity utilization ratio of each researched object by a theoretical analysis method, a train diagram compression method and a system simulation method for a set train diagram; B. carrying out weighted average on the three utilization ratios of each researched object, and taking the research object with the maximum average utilization ratio as a relative bottleneck point for the line transportation capability; C. judging the capability utilization ratio of the bottleneck point, and if the capability utilization ratio is more than a set value, circulating the utilization ratio computation methods by selecting an adjusting scheme until the capability utilization ratio is less than the set value; and D. identifying the bottleneck again for the line until the utilization ratio of the found relative bottleneck point is less than the set value. The method for identifying and eliminating the transportation capacity bottleneck of the high-speed railway is effective and quick, thereby providing a technical support for trains to safely and punctually operate.

Description

The method of a kind of quick identification and elimination high-speed railway movement capacity bottleneck
Technical field
The present invention relates to the method for a kind of quick identification and elimination high-speed railway movement capacity bottleneck, be applied to the high-speed railway transportation and organize the field.
Background technology
The early stage research of movement capacity problem mainly concentrate on various abilities key concept and to the calculating of each equipment item ability with determine on, as far back as 1878, Russia's country origin that is Paderewski early start research handling capacity suddenly, the begin one's study handling capacity of parallel train diagram and non parallel train diagram of some scholars is calculated subsequently, transportation by railroad energy transport capacity resource is distributed the relevant notion and the theoretical research and development through century more than one of literature review power rationally, has become an important branch of railway transport administration subject.USSR (Union of Soviet Socialist Republics) is similar with the China Railway organizational form, it all is the tectotype driving, movement capacity research is carried out early, the notion of actual utilizable energy power has been proposed, point out to make the existing calculating handling capacity of actual utilizable energy force rate much smaller by the handling capacity loss that operation is interrupted causing, the main loss of handling capacity does not lie in outage itself, and is to interrupt caused disturbance, but the disturbance rule is not furtherd investigate in the literary composition.To 60~seventies of 20th century, some experts of USSR (Union of Soviet Socialist Republics) in the middle of real work, have obtained effect preferably to the computing application of the theoretical analysis of passenger vehicle coefficient of removal and experimental formula.
Western developed country organization of rail transport mode is different from China, it is the driving of planning type, movement capacity is rich relatively, ability utilization load is lower and shipping mass is had relatively high expectations, emphasis is to the influence research of various random perturbations in the organization of driving to handling capacity, what the meaning represented was relatively arranged is Germany railway, they are by utilization factor coefficient calculations handling capacity, carrying capacity of the block section is divided into carrying capacity of the block section, minimum handling capacity, the restricted passage ability, hour handling capacity, there are not the handling capacity of surge time and hour handling capacity of constant buffering time etc., and be the realizability of assurance ability and certain shipping mass requirement, in route map of train, all reserved suitable surge time, to remedy the capacity loss that various random perturbation is caused, surge time, the basis determined then was the further investigation of the late and propagation law of train that random perturbation is caused, and its research method mainly adopts probability statistics and waiting line theory.
DeLeeuw (1962) 22J, Kneafsey (1975), Manheim (1979) has defined transportation system's ability from different sides respectively, transportation system's ability is divided into final ability, actual utilizable energy power and economic capability, final ability is to consider the maximum productivity of transportation system under the physical topological structure restriction, actual utilizable energy power and economic capability are then emphasized under the actual daily operation condition respectively and the pattern (minimum marginal cost and shortest path) of most economical operation is descended the productive capacity of transportation system, this three's relation is as follows: the final ability maximum of transportation system, and transportation system's economic capability minimum.
Scheppach and Faucett (1973) once attempted determining the ability of the U.S. comprehensive traffic transportation system (comprising aviation, railway, highway and inland waterborne transport) in the 1950-1970 these 20 years, and had briefly estimated its size.Morlok (1978) has proposed the service level notion, and this notion not only comprises hourage but also contains many-sided contents such as reliability, maneuverability, security and comfortableness, but do not calculate its concrete numerical value.
Prokopy and Rubin (1975) utilization analogy method has been assessed a plurality of characteristics of railway transport capacity, railway transport capacity is defined as the function of various delays, and a plurality of delay functions relevant with ability (distributing literature review speed, burst length, block section length and single line or two-wire etc. rationally as the train transport capacity resource) have been proposed, having proved travelling speed influences the most important parameters of movement capacity, has illustrated the influence situation of travelling speed to movement capacity.Khan (1979) has proposed a kind of railway capability analysis method, and is applied to during the Canadian railway network analyzes, and the result shows that movement capacity depends on influences all multifactor of route combination, comprises each component devices, rolling stock type and series of lot etc.
Morlok (1981) has discussed the ability of comprehensive transportation system, and the OD demand as vector set, and then Traffic Lan has been proposed.Notion with Traffic Pattern, he also proposes to develop the mathematical model of a comprehensive transportation system, the objective function of model is the maximum capacity of comprehensive traffic transportation system, and constraint condition is various travel patterns, subsystem capacity of equipment, can costs source restriction, rolling stock validity and transportation cost etc.Nijkamp (1993) has further expanded many additional restrictions of system's movement capacity, think that transportation system should be a system that is subjected to the multidimensional restriction, it not only is subjected to the road network topology structural limitations, also is subjected to comprising such as environment, operation rule and effectively managing etc. limiting more widely.Morlok and Riddle (1999) after having considered these restrictive conditions, had set up the mathematical model of a comprehensive transportation system afterwards.Popken Douglas (1996) has discussed the movement capacity analytical model based on marginal cost, comes analysis and evaluation haul distance and capacity balance, and this model only needs less systematic parameter, just can determine expense validity.
Bintong Chen, the method of Partrick T.Harker (1990) utilization theory of probability has been studied the method for evaluating reliability of single-track railway time-table, and the moment center random fluctuation that is dealt in timetable regulation with train is the evaluation method that prerequisite has provided train delays probability, meeting and overtaking probability, set up the nonlinear equation of train disturbance.Find the solution by simplified model, the gained result can be used for estimating the reliability of timetable.Utilize system reliability theory and method to study the influence of transportation by railroad technical equipment and rolling stock reliability to transportation and index, and the capacity load level of station track calculating, reliability index, the station residence time and economical rationality carried out detailed argumentation, point out to represent coefficient of reserved capacity, but show performance equipment maximum efficiency, pay attention to the urgency of shipping mass and ability problem of implementation etc. with the service chart redundancy issue.
Along with the quick time development of computing machine, the application of analogue technique in the railway problem is developed.D.Frank (1966) early start train operation incur loss through delay modeling effort, E.R.Pertersen (1974) and Bestsy S.Greenberg (1988) subsequently } train delays analogy model and analytical model proposed respectively, more comprehensively model then is railway line simulation and the model of optimizing structure (E.R.Petersen and A.J.Taylor, 1982).This model is prerequisite from station, interval two ends by certain stochastic distribution with train, according to the various constraint conditions that train travelling process satisfied, set up the model that can be used for train operation simulation and optimization, and worked out calculation procedure, this model can be used for train operation and incurs loss through delay analysis and planning train schedule.Transport capacity resource is distributed literature review Japan scholar rationally and is used computer simulation method that the Shinkansen train operation delay and recovery policy are analyzed and researched, and has developed train operation control expert system under the Shinkansen train operation simulation system and the disturbance situation.The Japan scholar also uses the hydrodynamics model, and the vibration source that train operation is regarded as in the liquid is studied with the principle of vibration wave propagation.
Lot of domestic experts, scholar are devoted to the identification of movement capacity and bottleneck and the research of elimination aspect, obtained significant achievement, and China railways situation complexity, railway transport capacity is very nervous always, so China expert pays close attention to the research of railway transport capacity very much, and the bottleneck point of high-speed railway movement capacity is also paid much attention to always.
Summary of the invention
In order to overcome the deficiencies in the prior art, the present invention proposes a kind of quick identification and eliminates the method for high-speed railway movement capacity bottleneck.This method applies to the management and the assessment of high-speed railway movement capacity, for the service chart that sets, the bottleneck point of line capacity is discerned and provided the cancellation scheme of bottleneck by the calculating of utilization factor.
Concrete grammar of the present invention is:
The method of a kind of quick identification and elimination high-speed railway movement capacity bottleneck comprises the steps:
1) capacity utilization ratio of each research object of high-speed railway is calculated in combining theoretical analysis, service chart compression and Computer Simulation jointly;
2) at the capacity utilization ratio of each research object the high-speed railway movement capacity is carried out bottleneck identification;
3) bottleneck point of being discerned is analyzed and need to be judged whether to eliminate, eliminate then providing the scheme that bottleneck is eliminated as needs.
Further, the capacity utilization ratio concrete grammar of described each research object of calculating high-speed railway is: the capacity utilization ratio value of calculating each research object respectively according to theoretical analysis, service chart compression method and method of emulation, the result of calculation of getting three kinds of methods is weighted and on average draws final capacity utilization ratio value, and does corresponding stored record.
Further, the described concrete grammar that each research object of high-speed railway is carried out bottleneck identification is: at first for each research object, the value of the capacity utilization ratio that draws in conjunction with the capacity utilization ratio computing method in the claim 2 is also chosen in each research object wherein the maximal value of capacity utilization ratio as the bottleneck point of this circuit movement capacity.
Further, the concrete grammar of analyzing and judging whether to eliminate in conjunction with the bottleneck point of the bottleneck recognition methods gained in the right 3 is: at first set acceptable peak use rate value on the circuit, the bottleneck point capacity utilization ratio compares with it at this moment, need to judge whether bottleneck to eliminate; If the bottleneck point capacity utilization ratio has surpassed the value that sets, then Ci Shi relative bottleneck point is converted into absolute bottleneck point, needs to eliminate; If less than the peak use rate value that sets, then need not to eliminate; Simultaneously, the step and the scheme of record adjustment.
Further, the described concrete grammar that absolute bottleneck point is eliminated is as follows:
Judge that at first the bottleneck point that identifies is station or interval in the right 3,, adopt the adjustment of different influence factor values to come bottleneck is eliminated for dissimilar research objects; Reduce the utilization factor of bottleneck point, then need to increase the handling capacity of each research object, take following several method to come capacity utilization ratio is adjusted:
1) under the condition of circuit and motor train unit permission, increases the desired value of running train speed;
2) under the condition of train operating safety, reduce standing the activity duration of train;
3) reduce medium trains by number of run;
4) rate that stops of minimizing bullet train;
Above method of adjustment can adjust 1)-4) in any one value or any several values, but guarantee that service chart tallies with the actual situation and train normal, under the prerequisite of safe operation; By reasonable adjustment to bottleneck point capacity utilization ratio correlation parameter, adjusted value is calculated respectively according to theoretical analysis, service chart compression and Computer Simulation more again, draw this capacity utilization ratio after parameter adjustment; Judge the relation of this utilization factor and peak use rate value this moment again, if then eliminated the bottleneck that ability is utilized less than the peak use rate value, if it is still big than peak use rate value, the above step that then circulates continues to calculate, less than setting value peak use rate value, eliminate the bottleneck point of this circuit movement capacity this moment up to the capacity utilization ratio value of calculating.
Further, above-mentioned research object is each station and each interval of railway.
The beneficial effect of this high-speed railway movement capacity bottleneck quick identification and removing method is, according to distinct methods COMPREHENSIVE CALCULATING capacity utilization ratio, thus quick identification and eliminate the bottleneck point of line capacity.For the identification of the bottleneck point of high-speed railway movement capacity and elimination provide a kind of effectively and reasonably, movement capacity management method fast, guarantee that high-speed railway safety, punctual operation provide technical support.
Description of drawings
Identification of Fig. 1 high-speed railway movement capacity bottleneck and removing method general flow chart;
Fig. 2 carrying capacity of station utilization factor theoretical method calculation flow chart;
Fig. 3 carrying capacity of the block section utilization factor theoretical method calculation flow chart;
Fig. 4 service chart compressed capability utilization factor computing method process flow diagram;
Fig. 5 Computer Simulation capacity utilization ratio computing method process flow diagram;
Fig. 6 high-speed railway movement capacity bottleneck recognition methods process flow diagram;
The relative bottleneck point removing method of Fig. 7 high-speed railway movement capacity process flow diagram;
Fig. 8 high-speed railway movement capacity circuit bottleneck removing method process flow diagram.
Specific embodiment
The method of quick identification of the present invention and elimination high-speed railway movement capacity bottleneck is from the circuit angle, consider the coordination and the coupling of point, line ability, comprehensive station and interval handling capacity, seek the key point that influences the circuit movement capacity, management to the high-speed railway movement capacity provides the gordian technique support, thereby guarantees the normal operation of train on the circuit.
Quick identification and the method for eliminating high-speed railway movement capacity bottleneck respectively as a research object, are at first calculated the theoretical handling capacity value in station, interval with each station on research circuit and interval respectively according to the pure mathematics analytical approach.For the service chart of setting, service chart is compressed service chart compress by eliminating surge time, thereby the ability in each station before and after will compress and interval obtains the compressed capability utilization factor of each research object.And then, emulation is carried out at station and interval handling capacity utilization factor by the movement capacity emulation platform according to the input parameter value, obtain the simulation capacity utilization factor of research object.For each research object, its theoretical duty utilization factor value, compressed capability utilization factor value and system emulation capacity utilization ratio value are weighted respectively on average, obtain the average ability utilization factor of each research object.Contrast the average ability utilization factor of each object, the research object of utilization factor maximum is the relative bottleneck point of this line movement capacity.Bottleneck point is eliminated judgement, and selectivity is eliminated it.Recomputate the movement capacity of circuit, discern new bottleneck point, less than setting value, just eliminated the bottleneck point of this circuit fully and provided the bottleneck point cancellation scheme this moment up to the relative bottleneck point utilization factor of being found out.This method for the identification of the bottleneck point of high-speed railway movement capacity and elimination provide a kind of effectively and reasonably, movement capacity management method fast, guarantee that high-speed railway safety, punctual operation provide technical support.The overall procedure of this method as shown in Figure 1.
The particular content of each step of method of this quick identification and elimination high-speed railway movement capacity bottleneck is as follows:
1. the calculating of each research object capacity utilization ratio of high-speed railway
Calculate the capacity utilization ratio value of each research object respectively according to theoretical analysis, service chart compression method and method of emulation, and do corresponding stored record.Each capacity utilization ratio computing method process flow diagram is shown in Fig. 2-5.
A, theoretical duty computing method
The theoretical calculation method main contents of carrying capacity of station have: at first, according to the quantity of the various trains of each bar station track, station and track switch group institute sending and receiving, and the time standard of various train occupation equipment, calculate the utilization factor of each bar station track and track switch group.When calculating station track sending and receiving car ability, with take this station track the starting train number, count the dispatch a car number of addition by train number, stop train number and upright folding train, with Zhongdao train number, connect the car number as this station track by train number, stop train number and upright folding train number as this station track.With this station track connect the car number divided by the station track utilization factor, calculate the car ability that connects of this station track, in like manner calculate the station track ability of dispatching a car.The station track that the car ability that the connects addition that will belong to all station tracks in a certain parking lot obtains this parking lot connects the car ability, in like manner must arrive station track, the parking lot ability of dispatching a car.With the train that stops in the track switch group job enter the station number of times and by train enter the station the number of times addition as this track switch group connect the car number, will stop train departures number of times and by the number of dispatching a car of train departures number of times as this track switch group.If connect the car number greater than dispatch a car several then with this track switch group as connecing track trouble group, otherwise, as the track switch group of dispatching a car.That finds out a throat utilization factor maximum connects track trouble group and the track switch of dispatching a car group, calculates its ability, as the ability of this throat.Relatively the station track in a parking lot connects the car ability that connects of car ability and two ends throat then, with the connect car ability of minimum value as the parking lot, in like manner calculates the parking lot ability of dispatching a car.The car ability that the connects addition in each parking lot, station is obtained the car ability that connects at this station, in like manner obtain the ability of dispatching a car at station.Pass through the service chart data studied, the car quantity that connects of each station reality is divided by with the ability value that calculates gained respectively with the quantity of dispatching a car, obtain connecing the car capacity utilization ratio and the capacity utilization ratio of dispatching a car, the capacity utilization ratio of its intermediate value the greater as this station.
The computing method main contents of carrying capacity of the block section utilization factor have: because the characteristic of high-speed railway is only moved a kind of bullet train of speed class on the possible circuit, need earlier circuit to be divided into the handling capacity that different passenger traffic sections comes computation interval.For each section, adopt the method for coefficient of removal to calculate its section handling capacity separately.At first calculate the ability of parallel train diagram by the length gauge of section working time, operation interval time and each section of train in diel.Next judges the ratio of each speed class train of this circuit, by each scale-up factor, adjusts coefficient of removal.If when having only the train operation of a kind of speed class of bullet train, then only consider different stops and the mode that stops to the influence of ability, only use the bullet train coefficient of removal that stops when promptly calculating; If the train or the operation of overline train conllinear of other speed class are arranged, also need use the extra coefficient of removal of other speed class trains during calculating.The section handling capacity that parallel train diagram ability and coefficient of removal by each section calculates each section.Then the ability value of each section is distributed to the handling capacity in the interval that it comprises, it is identical with its place section handling capacity promptly to comprise interval handling capacity.Pass through the service chart data studied, with each interval actual pass through train quantity calculate be divided by with the corresponding handling capacity value of gained, obtain this interval capacity utilization ratio.
B, service chart compression
Compress mode: divide full figure compression and interval selection compression.Full figure compression is about to whole service chart compression, the interval selection compression promptly at certain section interval in the period train number compress.Contraction principle: do not change figure stop surely mode, dwell time and travel line sequencing, press order from left to right, successively to each bar travel line of left, finally making adjacent two travel line minimum spacings is minimum headway time interval (if the former figure determining deviation of adjacent two travel lines then still keeps former figure determining deviation less than the minimum headway time interval of user's input).To the train number of overtaking takes place, the travel line that intersects and inner other travel line that comprises are done as a whole, internal compression at first, principle is described with the front, then with this integral body to left.
For the service chart of the required research of corresponding line, at first except the operational factor of each train in the service chart, the parameter that need use in the time of also will importing other compressions.Comprise skylight closing time: compress as event horizon with this time; Minimum headway time interval.
Compress mode and contraction principle according to minute full figure compression and interval selection compression compress the service chart of being imported.
Route map of train compression algorithm step is as follows:
1), then is divided into all train numbers compressions two of compression of all train numbers of down direction and up direction and goes on foot and carry out if current up-downgoing mode is chosen as up-downgoing.After having compressed, the down direction train number carries out all train number compressions of up direction again.Otherwise, directly enter the 2nd) and the step.
2) with service chart all train number ordering, orderings as follows.
(1) this circuit station is arranged by the traffic direction order.
(2) respectively with the train of each station process, press time order and function rank order leaving from station.
(3) find out the train number set that all travel lines intersect, the train number that will be mutually related is opened by component.
(4) travel line in the service chart is moved forward one by one.
(5) for certain bar travel line, if the minimum time interval T of travel line and all travel lines of front, minimum headway time interval I, judge that whether T-I is greater than 0, if it is compressible greater than 0 explanation, and this travel line is moved to the left time T-I, if equaling 0 explanation can not compress, then move to the travel line that next bar will compress.
(6) if this travel line is intersecting in the train number set, and be last coastiong in this group intersection train number set, then should organize the set of intersection train number and regard an integral body as, the maximum time distance of asking this integral body to be moved to the left, though should integral body and the minimum interval of all travel lines of front be minimum headway time interval I.Should organize interior all travel lines of intersection set and be moved to the left time I.Move to next bar travel line, and return step (5).If travel line is last coastiong, then change step (7).
(7) the service chart compression is finished.Click the preservation service chart, more new database will be compressed the back service chart and preserve, and can carry out evaluation analysis.
According to the contraction principle of service chart and the operation steps of compression, can compress full figure, also can compress certain interval.For the full figure compression, can obtain compression each station, front and back and interval other total holding time that divides.After treating the service chart compression, the total holding time of all trains that passed through of each research object can be compressed to a period, then will occur a vacant time and space for service chart.So to promptly fixed service chart, the capacity utilization ratio of each research object promptly is set at compression back total holding time and ratio that always can working time.
C, the emulation of ability analogue system:
The simulation calculation of carrying capacity of station utilization factor: based on the carrying capacity of station analogue system, at first, set the setting of field, station, station topological structure, the operation route plan of train station and emulation disturbance scheme and other simulation parameters by emulated data is read.In simulated environment, set emulation duration, simulation clock propelling step-length then, simulation clock is carried out initialization and begins emulation.In simulation process, need real-time Simulation Control,, route is taken normal, the safe operation of carrying out real-time observation and adjustment assurance train with train operation by the visualization interface and the train operation state visualization interface of route seizure condition.Judge by the propelling of simulation clock whether emulation finishes, if finish then the recording simulation results data; If do not finish, then judged whether the emulation disturbance, if then do not return simulation run control, continue operation.If the emulation disturbance is arranged, will produce the delay of train operation, then need to adjust train this moment in this station operation route plan, return simulation run control, continue operation.After circulation emulation finished, the capacity utilization ratio value at this station is extracted and calculated to the recording simulation results data.
The simulation calculation of carrying capacity of the block section utilization factor:, at first, set the block section and the signaling mechanism of line topological structure, circuit by emulated data and service chart parameter are read based on the carrying capacity of the block section analogue system.Based on route map of train emulation is carried out in the operation of train.In simulated environment, set emulation duration, simulation clock propelling step-length then, simulation clock is carried out initialization and begins emulation.In simulation process, need real-time Simulation Control,, route is taken normal, the safe operation of carrying out real-time observation and adjustment assurance train with train operation by the visualization interface and the train operation state visualization interface of section occupied state.Judge by the propelling of simulation clock whether emulation finishes, if finish then the recording simulation results data; If do not finish, then judged whether the operation delay, by adjusting train operation plan, return simulation run control, continue operation.After circulation emulation finished, each interval capacity utilization ratio value is extracted and calculated to the recording simulation results data.
2. bottleneck identification
A research object each station of circuit and each interval all being regarded as this circuit.At first for each research object, thereby be weighted the average ability utilization factor that on average draws this research object in conjunction with the value of three kinds of capacity utilization ratios of its correspondence and to these three values.Weighted value herein can be by choosing different parameters under the different situations, the factors of calculating according to utilization factor such as significance level are determined the weighted value under the different condition.Can get the final capacity utilization ratio of each research object and recording storage by last formula.
The utilization factor value of each object correspondence that calculates based on above-mentioned three kinds of methods gives respectively to gather accordingly its definition, and concrete definition mode is as shown in table 1.
Table 1 distinct methods capacity utilization ratio result of calculation storage list
Figure BDA0000050732270000111
If the research circuit has n research object, promptly the station number of this circuit and interval number are n altogether.At first for each research object i, be l in conjunction with the value of three kinds of capacity utilization ratios of its correspondence i, y iAnd f iThereby, these three values are weighted the average ability utilization factor a that on average draws this research object iDraw by formula (1).
a i = ω l l i + ω y y i + ω f f i ω l + ω y + ω f - - - ( 1 )
ω l, ω fBe respectively the theoretical duty utilization factor, the weighted value of compressed capability utilization factor and simulation capacity utilization factor.Weighted value herein can be by choosing different parameters under the different situations, the factors of calculating according to utilization factor such as significance level are determined the weighted value under the different condition.Can get the final capacity utilization ratio of each research object by last formula, and deposit in the capacity utilization ratio set A, be i.e. A{a 1, a 2... a i..}.
In set A, according to the value of the final capacity utilization ratio of each research object of circuit, the research object of choosing maximum capacity utilization factor a is the relative movement capacity bottleneck of this moment.
In capacity utilization ratio set, according to the value of the final capacity utilization ratio of each research object of circuit, the research object of choosing the maximum capacity utilization factor is the relative movement capacity bottleneck of this moment.The identification process of bottleneck point as shown in Figure 6 relatively.
3. bottleneck is eliminated
At first set acceptable peak use rate value on the circuit.The bottleneck point capacity utilization ratio compares with it at this moment, need to judge whether bottleneck to eliminate.If the bottleneck point capacity utilization ratio has surpassed the value that sets, then Ci Shi relative bottleneck point is converted into absolute bottleneck point, needs to eliminate.For the bottleneck point of being discerned, by the relevant adjustment of service chart parameter, adjusted value is calculated respectively according to theoretical analysis, service chart compression and Computer Simulation more again, draw this capacity utilization ratio after parameter adjustment.Judge the relation of this utilization factor and peak use rate value this moment again, if then eliminated the bottleneck that ability is utilized less than the peak use rate value, if still big than peak use rate value, the above step that then circulates continues to calculate, up to the capacity utilization ratio value of calculating less than setting value peak use rate value.Simultaneously, the step and the scheme of record adjustment.
In the elimination process of relative bottleneck point, the parameter of being adjusted must influence in the whole piece circuit other research object point.Though so the bottleneck point that identifies has been eliminated, the change of other research object operational factors that cause owing to parameter adjustment may cause new bottleneck point concerning circuit.So after adjusting, consider from the integral body of circuit again, again bottleneck point is discerned, if the capacity utilization ratio value of the bottleneck point that identifies is less than the peak use rate value, then explanation this moment circuit bottleneck point eliminate, but if the utilization factor value of the bottleneck point of finding out again is also greater than peak use rate value value, the method that the bottleneck point that so just need circulate is once more discerned, the parameter of the bottleneck point that identifies is adjusted to this moment, thereby eliminates the bottleneck point of circuit.Relatively the elimination of bottleneck point as shown in Figure 7, the elimination of line capacity bottleneck point is as shown in Figure 8.
The elimination of bright bottleneck for instance below:
At first set acceptable peak use rate value B on the circuit.Compare for maximum capacity utilization factor a that chooses in the set A and setting value B, if a value, illustrates then that the relative capacity bottleneck point of this moment does not influence the ability of whole piece circuit less than B.Promptly this moment, the circuit bottleneck point was to not influence of the normal operation of the train on the circuit, also need not eliminate it.
If during greater than setting value B, illustrating, a value is necessary that the ability of eliminating this circuit utilizes bottleneck this moment.Judge that at first this bottleneck point is station or interval,, adopt the adjustment of different influence factor values to come bottleneck is eliminated for dissimilar research objects.Reduce the utilization factor of bottleneck point, then need to increase the handling capacity of each research object, so can take following several method to come capacity utilization ratio is adjusted in the method:
1) under the condition of circuit and motor train unit permission, increase the desired value of running train speed, the raising ability reduces capacity utilization ratio;
2) under the condition of train operating safety, reduce standing the activity duration of train, the raising ability reduces capacity utilization ratio;
3) reduce medium trains by number of run, the raising ability reduces capacity utilization ratio;
4) rate that stops of minimizing bullet train, the raising ability reduces capacity utilization ratio.
Above method of adjustment can adjust one of them value or wherein arbitrary value is adjusted in combination, but guarantee that service chart tallies with the actual situation and train is normal, under the prerequisite of safe operation.By reasonable adjustment to bottleneck point capacity utilization ratio correlation parameter, adjusted value is calculated respectively according to theoretical analysis, service chart compression and Computer Simulation more again, draw this capacity utilization ratio after parameter adjustment.Judge the relation of this utilization factor and setting value B this moment again, if then eliminated the bottleneck that ability is utilized less than setting value B, if still big than setting value B, the above step that then circulates continues calculating, up to the capacity utilization ratio value of calculating less than setting value B.Simultaneously, step and scheme that record is adjusted are so that textual criticism afterwards and reference.
In the elimination process of relative bottleneck point, the parameter of being adjusted must influence in the whole piece circuit other research object point.Though so the bottleneck point that identifies has been eliminated, the change of other research object operational factors that cause owing to parameter adjustment may cause new bottleneck point concerning circuit.So after adjusting, consider from the integral body of circuit again, again bottleneck point is discerned, if the capacity utilization ratio value of the bottleneck point that identifies is less than the B value, then explanation this moment circuit bottleneck point eliminate, but if the utilization factor value of the bottleneck point of finding out again is also greater than B value, the method that the bottleneck point that so just need circulate is once more discerned, the parameter of the bottleneck point that identifies is adjusted to this moment, thereby eliminates the bottleneck point of circuit.
According to high quick identification with eliminate the related management flow process of method of high-speed railway movement capacity bottleneck and the theoretical research of method, the software platform of the high-speed railway competence management system of installing by means of client is realized each function of this method.
The present invention respectively as a research object, finds out the bottleneck point of movement capacity with each station on research circuit and interval fast by distinct methods end value weighted mean.By quantizing, adjust the value that influences the bottleneck point capacity utilization ratio, eliminate bottleneck point, and provide the concrete scheme of elimination.The present invention is directed to the characteristics of high-speed railway circuit, the capabilities limits point of circuit is searched, this all is very significant to the transportation tissue of high-speed railway and following railway planning etc.

Claims (6)

1. a quick identification and eliminate the method for high-speed railway movement capacity bottleneck, it is characterized in that: this method comprises the steps:
1) capacity utilization ratio of each research object of high-speed railway is calculated in combining theoretical analysis, service chart compression and Computer Simulation jointly;
2) at the capacity utilization ratio of each research object the high-speed railway movement capacity is carried out bottleneck identification;
3) bottleneck point of being discerned is analyzed and need to be judged whether to eliminate, eliminate then providing the scheme that bottleneck is eliminated as needs.
2. the method for quick identification as claimed in claim 1 and elimination high-speed railway movement capacity bottleneck, it is characterized in that: the capacity utilization ratio concrete grammar of described each research object of calculating high-speed railway is: the capacity utilization ratio value of calculating each research object respectively according to theoretical analysis, service chart compression method and method of emulation, the result of calculation of getting three kinds of methods is weighted and on average draws final capacity utilization ratio value, and does corresponding stored record.
3. the method for quick identification as claimed in claim 1 and elimination high-speed railway movement capacity bottleneck, it is characterized in that: the described concrete grammar that each research object of high-speed railway is carried out bottleneck identification is: at first for each research object, the value of the capacity utilization ratio that draws in conjunction with the capacity utilization ratio computing method in the claim 2 is also chosen in each research object wherein the maximal value of capacity utilization ratio as the bottleneck point of this circuit movement capacity.
4. the method for quick identification as claimed in claim 1 and elimination high-speed railway movement capacity bottleneck, it is characterized in that: the concrete grammar of analyzing and judging whether to eliminate in conjunction with the bottleneck point of the bottleneck recognition methods gained in the right 3 is: at first set acceptable peak use rate value on the circuit, the bottleneck point capacity utilization ratio compares with it at this moment, need to judge whether bottleneck to eliminate; If the bottleneck point capacity utilization ratio has surpassed the value that sets, then Ci Shi relative bottleneck point is converted into absolute bottleneck point, needs to eliminate; If less than the peak use rate value that sets, then need not to eliminate; Simultaneously, the step and the scheme of record adjustment.
5. quick identification as claimed in claim 4 and eliminate the method for high-speed railway movement capacity bottleneck is characterized in that: the described concrete grammar that absolute bottleneck point is eliminated is as follows:
Judge that at first the bottleneck point that identifies is station or interval in the right 3,, adopt the adjustment of different influence factor values to come bottleneck is eliminated for dissimilar research objects; Reduce the utilization factor of bottleneck point, then need to increase the handling capacity of each research object, take following several method to come capacity utilization ratio is adjusted:
1) under the condition of circuit and motor train unit permission, increases the desired value of running train speed;
2) under the condition of train operating safety, reduce standing the activity duration of train;
3) reduce medium trains by number of run;
4) rate that stops of minimizing bullet train;
Above method of adjustment can adjust 1)-4) in any one value or any several values, but guarantee that service chart tallies with the actual situation and train normal, under the prerequisite of safe operation; By reasonable adjustment to bottleneck point capacity utilization ratio correlation parameter, adjusted value is calculated respectively according to theoretical analysis, service chart compression and Computer Simulation more again, draw this capacity utilization ratio after parameter adjustment; Judge the relation of this utilization factor and peak use rate value this moment again, if then eliminated the bottleneck that ability is utilized less than the peak use rate value, if it is still big than peak use rate value, the above step that then circulates continues to calculate, less than setting value peak use rate value, eliminate the bottleneck point of this circuit movement capacity this moment up to the capacity utilization ratio value of calculating.
6. as the method for described quick identification of arbitrary claim among the above-mentioned 1-5 and elimination high-speed railway movement capacity bottleneck, it is characterized in that: described research object is each station and each interval of railway.
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Cited By (10)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102768737A (en) * 2012-07-06 2012-11-07 西北工业大学 Method for identifying bottleneck of job workshop by considering multidimensional feature attribute of machine
WO2014041439A1 (en) * 2012-09-17 2014-03-20 ZHANG, Jiarui Calculation and evaluation of station capacity for high speed railway
WO2014041438A1 (en) * 2012-09-17 2014-03-20 ZHANG, Jiarui Calculation and estimation of line capacity for high speed railway
CN109635439A (en) * 2018-12-12 2019-04-16 新疆大学 Network chain effect research method is produced under bumpy weather based on transmission dynamics
CN110544010A (en) * 2019-07-30 2019-12-06 同济大学 Identification method of key elements influencing global efficiency emergence of rail transit system
CN110751453A (en) * 2019-09-18 2020-02-04 北京交通大学 Method and system for identifying and resolving railway channel capacity bottleneck
CN110843870A (en) * 2019-11-21 2020-02-28 北京交通大学 Method for maintaining fixed capacity of high-speed railway network graph under abnormal event
CN111489277A (en) * 2020-03-16 2020-08-04 中铁程科技有限责任公司 Line data processing method, line data processing device, storage medium and computer equipment
CN112208591A (en) * 2020-09-28 2021-01-12 通号城市轨道交通技术有限公司 Train operation plan adjusting method and device and readable storage medium
CN114707284A (en) * 2021-10-09 2022-07-05 北京交通大学 High-speed railway section passing capacity simulation calculation system

Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1162290A (en) * 1994-09-01 1997-10-15 哈里公司 Scheduling system and method
US20050091176A1 (en) * 2003-10-24 2005-04-28 Mitsubishi Denki Kabushiki Kaisha Forecasting apparatus
WO2009070839A1 (en) * 2007-12-04 2009-06-11 Sti-Global Ltd Improved railroad crossing
CN101593320A (en) * 2009-03-27 2009-12-02 北京交通大学 A kind of multiple transportation modes combination capacity optimization method based on the transportation demand feature

Patent Citations (4)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1162290A (en) * 1994-09-01 1997-10-15 哈里公司 Scheduling system and method
US20050091176A1 (en) * 2003-10-24 2005-04-28 Mitsubishi Denki Kabushiki Kaisha Forecasting apparatus
WO2009070839A1 (en) * 2007-12-04 2009-06-11 Sti-Global Ltd Improved railroad crossing
CN101593320A (en) * 2009-03-27 2009-12-02 北京交通大学 A kind of multiple transportation modes combination capacity optimization method based on the transportation demand feature

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
《铁路计算机应用》 20090925 梁英慧等 铁路大型综合交通客运站接运能力协调配置方案研究 全文 1-6 , 第09期 *

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* Cited by examiner, † Cited by third party
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CN110751453B (en) * 2019-09-18 2022-12-02 北京交通大学 Method and system for identifying and resolving capacity bottleneck of railway channel
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