CN109447414A - A kind of Industrial Marshalling Yards determine the quantization method of train disintegration sequence - Google Patents

A kind of Industrial Marshalling Yards determine the quantization method of train disintegration sequence Download PDF

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CN109447414A
CN109447414A CN201811146240.7A CN201811146240A CN109447414A CN 109447414 A CN109447414 A CN 109447414A CN 201811146240 A CN201811146240 A CN 201811146240A CN 109447414 A CN109447414 A CN 109447414A
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car team
time
need
disintegration
cargo
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刘敏
黄艳
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XI'AN UNIVERSITY OF FINANCE AND ECONOMICS
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    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00—Administration; Management
    • G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
    • G06Q10/063—Operations research, analysis or management
    • G06Q10/0631—Resource planning, allocation, distributing or scheduling for enterprises or organisations
    • G06Q10/06312—Adjustment or analysis of established resource schedule, e.g. resource or task levelling, or dynamic rescheduling
    • G—PHYSICS
    • G06—COMPUTING; CALCULATING OR COUNTING
    • G06N—COMPUTING ARRANGEMENTS BASED ON SPECIFIC COMPUTATIONAL MODELS
    • G06N7/00—Computing arrangements based on specific mathematical models
    • G06N7/02—Computing arrangements based on specific mathematical models using fuzzy logic
    • G06Q50/40—

Abstract

The invention discloses the quantization methods that a kind of Industrial Marshalling Yards determine train disintegration sequence.Mathematical description is carried out to the determination process of Industrial Marshalling Yards preferably disintegration car team with the principle and method of fuzzy mathematics, proposes a kind of quantization method.For each characteristic index parameter of matrix preferred during fuzzy analysis, quantitative analysis is theoretically carried out in conjunction with Industrial Marshalling Yards reality of work, proposes the quantitative model of a set of description characteristic index parameter.The method of the present invention step is simple, easy to operate, can be carried out preferably to train disintegration sequence and result is more objectively close to reality, improve the science and validity of this work, practical, using effect is good, convenient for promoting the use of.

Description

A kind of Industrial Marshalling Yards determine the quantization method of train disintegration sequence
Technical field
The invention belongs to the fields Management Information System of Industrial Marshalling Yards (MIS), and in particular to a kind of determining Industrial Marshalling Yards The quantization method of train disintegration sequence.
Background technique
The determination of Industrial Marshalling Yards train disintegration sequence is one of important content of classification plan, be mainly in view of up to when Between, removal time, the time of departure and marshalling need, production be badly in need of etc. factors, main function have several points: 1. do not cause operation Disorder；2. in the case that Receiving yaxd expire line and wagon flow successively reach empty reach line to pick up in time；3. making to stand Interior vehicle issues as early as possible and meets the wagon flow needs of outbound train to the maximum extent；4. guaranteeing that production is normally carried out required cargo Stock minimum.Industrial Marshalling Yards shunting service accounts for 80% or so of entire operation, and the determination of train disintegration sequence is to adjust The important evidence of vehicle shop job scheduling, result directly influence the overall performance of operation, thus its preferably have it is important Realistic meaning.
The determination method of existing Industrial Marshalling Yards train disintegration sequence is generally the head by dispatcher for a long time Brain memory and experience and carry out, it is this along the conventional management mode practised, be becoming tight in technical operation and freight operation day Status under, it cannot be guaranteed that the high quality and reliability of daily plan, severe constraints industrial railway scheduling information automation The raising of management and operation management level, while influencing giving full play to for station equipment effect.Therefore it is suitable for train disintegration The determination of sequence needs scientifically to be comprehensively considered various factors and then carries out to it preferably.Using advanced information technology and Modern management method Added Management personnel make various optimizing decisions, rapid execution result back, the section to strengthen management with decision The property learned and validity are the directions of Industrial Marshalling Yards operation management development.
Industrial Marshalling Yards disintegration car team it is selected rest on always qualitatively on the basis of, it is quantitatively excellent it is desirable to can be carried out Choosing.Due to the ambiguity of this work itself, the application of classical mathematics is limited to very much, and fuzzy analysis by qualitative analysis and can then be determined Amount analysis combines well, provides a kind of solution route for the quantization of the work.For above situation, using fuzzy mathematics From the viewpoint of the overall situation, comprehensively consider to the selected various factors of disintegration car team is influenced, to guarantee the public affairs preferably to work The practicability of positivity and operation.
Summary of the invention
It is an object of the invention to be directed to existing Industrial Marshalling Yards train disintegration sequence in information technology and modern management side Deficiency in method provides the quantization method that a kind of Industrial Marshalling Yards determine train disintegration sequence, seeks a kind of reason that science is general Traditional information management mode is substituted by algorithm.Its method and step is simple, easy to operate, can to train disintegration sequence into Row is preferably and result is more objectively close to reality, improves the science and validity of this work, practical, uses effect Fruit is good, convenient for promoting the use of.
In order to solve the above technical problems, the technical solution adopted by the present invention is that: a kind of Industrial Marshalling Yards determine train disintegration The quantization method of sequence, it is characterised in that method includes the following steps:
One, the determination process of Industrial Marshalling Yards preferably disintegration car team is counted with the principle of fuzzy mathematics and method Description is learned, a kind of quantization method is proposed.
Specific steps are as follows:
Step 1, to Xie Chelieji
X={ x1,x2,…,xn}={ car team 1, car team 2 ..., car team n }
Step 2, the preferred set of factors of disintegration sequence
U={ u1,u2,…,umArrival time }={, removal time, the time of departure and marshalling need, and production is badly in need of }
Industrial Marshalling Yards manually select car team to be solved disintegrated mainly consider because being known as:
1. arrival time considers that this factor will not cause operation disorder, arrives first and first solve；
2. removal time, being adapted to Receiving yaxd expires line the case where wagon flow successively reaches, should empty in time at this time Line is reached to pick up；
3. the time of departure and marshalling need, the interior vehicle that makes to stand issues as early as possible and meets the vehicle of outbound train to the maximum extent Stream needs；
4. production is badly in need of, every kind of cargo of enterprise will guarantee certain amount of storage, it is assumed that minimum reserves be guarantee production normally into Capable stock minimum causes centainly to threaten once inventory is less than minimum reserves to production, and as production is badly in need of.With urgent need degree J indicates the urgent need degree of certain cargo: j=cebq, c, b are to be badly in need of coefficient (c > 0, b < 0) to regard each cargo of enterprise specific in formula Depending on storage condition；Q is quantity in stock, when q > minimum reserves, j=0, and when q < minimum reserves, 0 < j≤c.According to various The size for being badly in need of cargo urgent need degree j determines the cargo being most badly in need of, and how much determines to need further according to the vehicle number that each car team includes this cargo Want top-priority car team.Its j value should be adjusted in time according to newest cargo amount of storage.
Step 3, preferably matrix
R:X × U → [0,1], rij=R (xi,uj) ∈ [0,1], rijIt is object xiIn factor ujOn characteristic index.xi (eigen vector of car team i) is R | xi=(ri1,ri2,…, rim)∈[0,1]m, therefore can be considered the Fussy collection in U.
Normalized:
Therefore judge space: S=(X, U, R).
Step 4, preferably factor power collection
A=[a1 a2… am]T, ai∈ [0,1], as ∑ aiWhen ≠ 1, it is normalized.
Step 5, optimum scheme comparison
Preferred function f:[0,1]m→ R (all sets of real numbers) calculates selection indicators:
D(xi)=f (ri1,ri2,…,rim)(i≤n)。
In formulaIt for Composition operator, is defined according to generalized fuzzy operation, general optional five kinds of operators, i.e. M (∧, ∨), M (, ∨),M (,+),First three is suitable for prominent principal element, does not consider or slightly Micro- overall merit for considering secondary cause；Latter two is weighted average type, is taken into account according to the size of weight to all factor equilibriums. To this problem, latter two is selected relatively to be suitble to, due to havingai、 rim∈ [0,1], soDegenerate into M (,+).
Select max [D (x1),D(x2),…,D(xn)] corresponding car team to be solved preferentially disintegrates.
Two, it for each characteristic index parameter of matrix preferred during fuzzy analysis, works in conjunction with Industrial Marshalling Yards real Border theoretically carries out quantitative analysis, proposes the quantitative model of a set of description characteristic index parameter.Main parameters:
1, arrival time characteristic ri1
Provide ri1=(tJ S-tiD)/(tJ S-tD min).Wherein tiDThe arrival time of-i-th car team；tD min- earliest Reach the arrival time of car team；tJ S- expect at the beginning of carrying out disassembling operation, tJ S≥tD max+tDJ, tD maxIt is last Reach the arrival time of car team, tDJActivity duration standard needed for reaching operation for car team.
2, removal time characteristic ri2
Enable ri2=1/tiS。ri2With tiJIt is related, tiJFor the time loss of disintegration i train disintegration. tiJDepending on Receiving yaxd with Being mutually arranged of switchyard, locomotive drive towards the time t of car teamR, car team shift the time t of summit ontoP, car team by dismissed on peak when Between tiSAnd its regression time t on the offline road in peakB.When a hump locomotive operation, tiJ=tR+tP+tiS+tB。
When Receiving yaxd and switchyard row are arranged, It reaches When field is arranged with switchyard file,In formula: tL- preparation of the route the time, min；vJ- locomotive running speed, km/h；vP- push-up speed, km/h；lP- push distance, km；lX- station track is effectively long Degree, km；lDThe length of-" switch area " (bottle-neck section), km.Car team is by time for dismissing on peakIn formula: vS— Car team dismisses average speed, 5~7km/h[3]；Ni- i car team vehicle number；lC- Vehicle length (15m).
Due to tR、tP、tBDefinite value is essentially to each car team, thus to i car team tiJIt can be attributed to tiSThe considerations of.
3, the time of departure and marshalling need characteristic ri3
Enable ri3=φi/max(φ1,φ2,…,φn), φiMost for i car team in a stage (generally 3~4 hours) The vehicle number that can be mostly grouped into the stage all outbound trains.For i car team, if in certain frequency TjFThe solution of permission Body operation finally completes moment TjDisassembling operation is completed before, so that it may which the vehicle number of the hair point whereabouts in i car team is included in φiIn. Tj=TjF–tFJ–tZC–tBB, t in formulaFJ- outbound train technical operation time, tZC- weave into train goes to by marshalling yard Place takes time, tBB- be averaged every train marshalling list time.
4, characteristic r is badly in need of in productioni4
If there is production requirement, then the cargo being most badly in need of is determined according to the various sizes for being badly in need of cargo urgent need degree j, then right Each car team presses how much sequences comprising this cargo vehicle number, and the car team selected more than vehicle number is top-priority car team, and by its ri4Rule It is set to 1, the r of remaining car teami4It is defined as 0, i.e., calculates every time and only pays the utmost attention to a car team.As long as in this way, u4Weight It is sufficiently large, ri4It is surely chosen for 1 car team with regard to one.If enabling r without production requirement14,r24,…,rm4It is 0, u4Actually It is not involved in judge, therefore does not influence the competition of other factors.
The invention has the following advantages that
1, method and step of the invention is simple, easy to operate, easy to accomplish.
2, the present invention can carry out train disintegration sequence preferably, rapid execution result back, and result more objectively connects It is close practical.Solve for a long time dispatcher with brains memory and experience and carry out decision so that it cannot guarantee daily meter The problem of the high quality and reliability drawn.
Therefore it needs scientifically to be comprehensively considered various factors for the determination of train disintegration sequence and then it is carried out excellent Choosing.Various optimizing decisions are made using advanced information technology and modern management method Added Management personnel, feedback executes rapidly As a result, the science and validity strengthened management with decision, are the directions of Industrial Marshalling Yards operation management development.
3, fuzzy mathematical model of the present invention can describe uncertain parameter and fuzzy problem, overcome classics It is insufficient in Mathematics Application, qualitative analysis is combined well with quantitative analysis, improves the fairness preferably to work, reliability With the practicability of operation, one kind is provided for the quantization that this works and efficiently solves approach, and then certainly for industrial scheduling information Dynamicization management is laid a good foundation.
4, using method of the invention, it is possible to quickly and effectively formulating train disintegration sequence preferred embodiment, being classification plan Establishment with shunting operation plan provides effective foundation and reference.
5, the present invention improves the science and validity of this work, and practical, using effect is good, convenient for promoting It uses.
In conclusion the method for the present invention step is simple, and it is easy to operate, it can be effectively with sample information to hydraulic support Reliability assessment is carried out, improves reliability assessment precision, assessment result is effective and reasonable, and practical, using effect is good, just In popularization and use.
Specific embodiment
The preferred method of train disintegration sequence of the invention, comprising the following steps:
One, the determination process of Industrial Marshalling Yards preferably disintegration car team is counted with the principle of fuzzy mathematics and method Description is learned, a kind of quantization method is proposed.Detailed process are as follows:
Step 1, to Xie Chelieji
Certain has 5 car teams that need to disintegrate in the enterprise railway marshalling yard section time:
X=car team 1, car team 2 ..., car team 5 }
Step 2, the preferred set of factors of disintegration sequence
U={ u1,u2,…,u4}={, which arrives first, first to be solved, removal time, dispatches a car and organize into groups needs, and production is badly in need of }
Step 3, preferably matrix
There are 6:30,7:20,8:00 and 8:30 totally 4 hair points in the stage, and the hair point (whereabouts) that each car team is at most kept up with is respectively For 4,3,2,2,0, each car team situation statistics such as table 1 (takes vS=6km/h) shown in.
1 car team statistics table of table
1. arrival time characteristic ri1。r11=1, r21=0.706, r31=0.647, r41=0.529, r51=0.176.
2. removal time characteristic ri2。r12=0.136, r22=0.128, r32=0.222, r42=0.121, r52=0.121.
3. dispatching a car and organizing into groups characteristic ri3。r13=0.357, r23=0.714, r33=0.5, r43=1, r53=0.
4. characteristic r is badly in need of in productioni4.Assuming that in this time calculating, there is no productions to be badly in need of situation, i.e. r14=r24=r34=r44 =r54=0.
After normalization:
Step 4, preferably factor power collection
A=[a1 a2 … am]T, ai∈ [0,1], as ∑ aiWhen ≠ 1, it is normalized.
It is preferred that the determination of factor power collection A is one of link of most critical, it directly affects the result of Comprehensive Evaluation.Generally For, the significance level of each factor is different, and there are many methods for the determination of weight, such as Delphi method, expert survey, system Meter method etc. determines weight sets using Delphi method here.Delphi method is also referred to as expert evaluation method, is a kind of utilization expert collection Body wisdom determines the effective ways of each factor significance level.
1. determining uiSequence of importance value Fi.Existing 8 experts propose each factor most suitable important with the experience of oneself Property sequence FiValue, is shown in Table 2.
The F of 28 experts of tableiIt is worth evaluation form
2. working out preferential Score Lists.With sequence of importance F provided by expert 1iFor value, F1-1=4, F3-1=2, thenRemember A31-1=1；Conversely,When, remember A13-1=0.There are 8 experts to participate in evaluation, by all experts' A13-kValue and A31-kValue adds up, i.e.,There are 3 experts to think u1Compare u3Weight It wants, there are 5 experts to think u3Compare u1It is important.Remaining AijThe statistical value of (i, j=1,2,3, m), is shown in Table 5.
3. seeking ∑ AiValue.5 are shown in Table, ∑ Amax=∑ A4=24, ∑ Amin=∑ A1=7, illustrate factor u4Significance level Highest, factor u1Significance level it is minimum.
4. calculating differential.
5. calculating each factor significance level coefficient ai.By formulaIt can count Calculate each factor significance level coefficient ai.For example,It is shown in Table 3.
The preferential score of table 3 counts (Ai jValue) table
A=[0.3 0.341 0.382 1] can be obtainedT.CauseAfter normalization: A '=[0.15 0.17 0.19 0.49]T。
Step 5, optimal case
Due to D (x4) > D (x3) > D (x2) > D (x1) > D (x5), therefore train disintegration priority is successively are as follows: x4 (car team 4), x3 (car team 3), x2 (car team 2), x1 (car team 1), x5 (car team 5).
The optimization algorithm of above-mentioned train disintegration sequence, in actual use it is contemplated that being carried out by following two scheme:
1. having needed to be solved after car team is calculated by algorithm above preferentially to Receiving yaxd, once there is new car arrival, then new car is made For one of Receiving yaxd car team to be solved, recalculate preferentially.This, which is calculated, needs to be repeated, but there is no hump and locomotive etc. To guarantee generally excellent.
2. by the train (train that arrived when starting including the stage and the train reached successively in the stage) in a stage It is calculated as alternative object set, by D (xi) (i=1,2 ..., the n) sequence of value from big to small arranges the stage car team Disintegration sequence.If selected car team is not yet reached in disassembling operation to be carried out, then hump and locomotive are inevitably present Waiting, should determine the reasonable waiting time to decide whether to wait this car team, that is, need to be subject to calculated sequence It adjusts generally excellent to guarantee.
The above is only presently preferred embodiments of the present invention, is not intended to limit the invention in any way, all according to this hair Bright technical spirit any simple modification, change and equivalent structure variation to the above embodiments, still fall within skill of the present invention In the protection scope of art scheme.

Claims (1)

1. the quantization method that a kind of Industrial Marshalling Yards determine train disintegration sequence, it is characterised in that with fuzzy mathematics principle and Method carries out mathematical description to the determination process of Industrial Marshalling Yards preferably disintegration car team, method includes the following steps:
Step 1, to Xie Chelieji
X={ x1,x2,…,xn}={ car team 1, car team 2 ..., car team n }
Step 2, the preferred set of factors of disintegration sequence
U={ u1,u2,…,umArrival time }={, removal time, the time of departure and marshalling need, and production is badly in need of }
1. arrival time considers that this factor will not cause operation disorder, arrives first and first solve；
2. removal time, being adapted to Receiving yaxd expires line the case where wagon flow successively reaches, arrival should be emptied in time at this time Line is to pick up；
3. the time of departure and marshalling need, the interior vehicle that makes to stand issues as early as possible and meets the wagon flow need of outbound train to the maximum extent It wants；
4. production is badly in need of, every kind of cargo of enterprise will guarantee certain amount of storage, it is assumed that minimum reserves guarantee that production is normally carried out Stock minimum causes centainly to threaten once inventory is less than minimum reserves to production, and as production is badly in need of；It is indicated with urgent need degree j The urgent need degree of certain cargo: j=cebq, c, b are to be badly in need of coefficient (c > 0, b < 0) specifically to store feelings depending on each cargo of enterprise in formula Depending on condition；Q is quantity in stock, when q > minimum reserves, j=0, and when q < minimum reserves, 0 < j≤c.According to various urgent need cargos The size of urgent need degree j determines the cargo being most badly in need of, and how much determines to need preferentially to examine further according to the vehicle number that each car team includes this cargo The car team of worry should adjust in time its j value according to newest cargo amount of storage；
Step 3, preferably matrix
R:X × U → [0,1], rij=R (xi,uj) ∈ [0,1], rijIt is object xiIn factor ujOn characteristic index, xi(car team i) Eigen vector be R | xi=(ri1,ri2,…,rim)∈[0,1]m, therefore can be considered the Fussy collection in U,
Normalized:
Therefore space: S=(X, U, R) is judged,
Step 4, preferably factor power collection
A=[a1 a2 … am]T, ai∈ [0,1], as ∑ aiWhen ≠ 1, it is normalized；
Step 5, optimum scheme comparison
Preferred function f:[0,1]m→ R (all sets of real numbers) calculates selection indicators:
D(xi)=f (ri1,ri2,…,rim)(i≤n)
In formulaIt for Composition operator, is defined according to generalized fuzzy operation, general optional five kinds of operators, i.e. M (∧, ∨), M (, ∨), M (∧, ⊕), M (,+), and M (, ⊕), select latter two to be relatively suitble to, due to having a ⊕ b=min (1, a+b), ai、rim ∈ [0,1], (, ⊕) degenerates into M (,+) so M；
Select max [D (x1),D(x2),…,D(xn)] corresponding car team to be solved preferentially disintegrates；
Wherein each characteristic index parameter of preferred matrix is as follows:
1., arrival time characteristic ri1
Provide ri1=(tJS-tiD)/(tJS-tDmin), wherein tiDThe arrival time of-i-th car team；tDmin- car team is reached earliest Arrival time；tJS- expect at the beginning of carrying out disassembling operation, tJS≥tDmax+tDJ, tDmaxFinally to reach arriving for car team Up to moment, tDJActivity duration standard needed for reaching operation for car team；
2., removal time characteristic ri2
Enable ri2=1/tiS, ri2With tiJIt is related, tiJFor the time loss of disintegration i train disintegration, tiJDepending on Receiving yaxd with shunt Be mutually arranged, locomotive drives towards the time t of car teamR, car team shift the time t of summit ontoP, car team is by the time t that dismisses on peakiS And its regression time t on the offline road in peakB, when a hump locomotive operation, tiJ=tR+tP+tiS+tB,
When Receiving yaxd and switchyard row are arranged, Receiving yaxd with When switchyard file is arranged,In formula: tL- preparation of the route time, min；vJ— Locomotive running speed, km/h；vP- push-up speed, km/h；lP- push distance, km；lX- usable length of track, km；lD- road The length of Cha Qu, km；Car team is by time for dismissing on peakIn formula: vS- car team dismisses average speed, take 5~ 7km/h；Ni- i car team vehicle number；lC- Vehicle length (15m)；
Due to tR、tP、tBDefinite value is essentially to each car team, thus to i car team tiJIt can be attributed to tiSThe considerations of；
3., the time of departure and marshalling need characteristic ri3
Enable ri3=φi/max(φ1,φ2,…,φn), φiIt at most can be with for i car team in a stage (generally 3~4 hours) The vehicle number being grouped into the stage all outbound trains.For i car team, if in certain frequency TjFThe disassembling operation of permission is most Moment T is completed afterwardsjDisassembling operation is completed before, so that it may the vehicle number of the hair point whereabouts in i car team is included in φ i, Tj=TjF– tFJ–tZC–tBB, t in formulaFJ- outbound train technical operation time, tZC- weave into train departure yard is gone to by marshalling yard and taken Between, tBB- be averaged every train marshalling list time；
4., production be badly in need of characteristic ri4
If there is production requirement, then the cargo being most badly in need of is determined according to the various sizes for being badly in need of cargo urgent need degree j, then to each car team By how much sequences comprising this cargo vehicle number, selecting the car team more than vehicle number is top-priority car team, and by its ri41 is defined as, The r of remaining car teami4It is defined as 0, i.e., calculates every time and only pays the utmost attention to a car team；As long as in this way, u4Weight it is sufficiently large, ri4 It is surely chosen for 1 car team with regard to one；If enabling r without production requirement14,r24,…,rm4It is 0, u4It is not actually involved in and comments Sentence, therefore does not influence the competition of other factors.
CN201811146240.7A 2018-09-29 2018-09-29 A kind of Industrial Marshalling Yards determine the quantization method of train disintegration sequence Withdrawn CN109447414A (en)

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Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1555998A (en) * 2004-01-05 2004-12-22 北京全路通信信号研究设计院 Marshalling station comprehensive integrated automation system
CN101544233A (en) * 2009-05-06 2009-09-30 中铁信弘远(北京)软件科技有限责任公司 Marshalling station comprehensive automatic system
CN101673479A (en) * 2009-01-12 2010-03-17 北京交通大学 High-speed railway traffic dispatching command and train running control network cooperation system
CN203172655U (en) * 2013-01-06 2013-09-04 陕西西北铁道电子有限公司 Train running risk distinguishing system
CN103310118A (en) * 2013-07-04 2013-09-18 文超 Method for predicting train operation conflicts on high speed railways
CN104442933A (en) * 2014-10-09 2015-03-25 兰州交通大学 Train queue operation organizing method
CN106953886A (en) * 2016-12-21 2017-07-14 北京交通大学 A kind of TCN cycle information dispatching method based on Ethernet

Patent Citations (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1555998A (en) * 2004-01-05 2004-12-22 北京全路通信信号研究设计院 Marshalling station comprehensive integrated automation system
CN101673479A (en) * 2009-01-12 2010-03-17 北京交通大学 High-speed railway traffic dispatching command and train running control network cooperation system
CN101544233A (en) * 2009-05-06 2009-09-30 中铁信弘远(北京)软件科技有限责任公司 Marshalling station comprehensive automatic system
CN203172655U (en) * 2013-01-06 2013-09-04 陕西西北铁道电子有限公司 Train running risk distinguishing system
CN103310118A (en) * 2013-07-04 2013-09-18 文超 Method for predicting train operation conflicts on high speed railways
CN104442933A (en) * 2014-10-09 2015-03-25 兰州交通大学 Train queue operation organizing method
CN106953886A (en) * 2016-12-21 2017-07-14 北京交通大学 A kind of TCN cycle information dispatching method based on Ethernet

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
刘敏: "工业编组站解体车列选定的模糊综合评判", 《铁道学报》 *

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