CN106627677B - The target train arrival time prediction technique and device of railway trip dress system - Google Patents
The target train arrival time prediction technique and device of railway trip dress system Download PDFInfo
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Abstract
The embodiment of the invention discloses the target train arrival time prediction techniques and device of a kind of railway trip dress system.This method includes：When detecting the hair late signal of large area, the travel information and type of train of target train are obtained；The prediction arrival time that target train reaches the first website that distance is nearest in direction of advance is obtained according to travel information；The actual achievement that acquisition target train reaches the first website reaches the time；The time difference information of previous column and train the first website of arrival of target train same type is obtained according to the type of train of target train；Mileage according to prediction arrival time, actual achievement arrival time and time difference information calibration target column vehicle apart from next website；The prediction arrival time that target train reaches next website is obtained according to the mileage after calibration.Actual achievement operation information of the embodiment of the present invention based on target train and prediction operation information, adaptively predict the arrival time of target train compared with prior art, have the advantages that precision of prediction is high.
Description
Technical field
The present embodiments relate to rail traffic service technology fields, and in particular to a kind of target column of railway trip dress system
Vehicle arrival time prediction technique and device.
Background technology
Passenger Service System is setting Integrated Management Platform, is oriented to announcement, broadcast, monitoring, clock, inquires, seek help, nothing
The subsystems such as line, deposit.Based on automatic information collecting, to provide full spectrum information service as target for passenger, visitor is realized
Fortune station information broadcasts, is oriented to the functions such as announcement, monitoring automatically, and provides the integrated system of the information service of number of ways.Trip
Dress system Integrated Management Platform is connect automatically using providing comprehensive production service and passenger facilities as target to staff and passenger
Enter the external informations such as scheduling, passenger ticket, according to unified interface standard the broadcast of separation, guiding, video, ticket checking, inquiry, deposit
With the subsystems Deep integrating such as clock, integrated service operation is provided, information sharing and function linkage is realized, improves passenger facilities
Information-based and automatization level.
During realizing the embodiment of the present invention, inventor has found the TDMS accuracy of information when train large area is late
It is relatively low, it is difficult to which that Accurate Prediction goes out the arrival time of train.
Invention content
One purpose of the embodiment of the present invention is to solve the prior art when train large area is late, and system is based on delivery tube
Manage the low problem of the train arrival time accuracy for the acquisition of information that scheduling system TDMS is provided.
The embodiment of the present invention proposes a kind of target train arrival time prediction technique of railway trip dress system, including：
When detecting the late signal of large area, the travel information and type of train of the target train are obtained；
The target train, which is obtained, according to the travel information reaches the pre- of distance is nearest in direction of advance the first website
Survey arrival time；
It obtains the target train and reaches the actual achievement of first website and reach the time；
Previous column is obtained according to the type of train of the target train and the train of the target train same type reaches institute
State the time difference information of the first website；
The target column vehicle is calibrated apart from next website according to the actual achievement arrival time and the time difference information
Mileage；
The prediction arrival time that the target train reaches next website is obtained according to the mileage after calibration.
Preferably, the travel information includes：The current system of traffic coverage and trip's dress system residing for the target train
It unites the time；
Correspondingly, described the target train is obtained according to the travel information to reach nearest the of distance in direction of advance
The step of prediction arrival time of one website, specifically includes：
According to the traffic coverage residing for the target train, the operation that the target train reaches first website is obtained
Mileage；
It is reached described in distance travelled and the present system time acquisition of first website according to the target train
Target train reaches the prediction arrival time of the first website.
Preferably, the travel information further includes：The speed of service parameter of the target train；
Correspondingly, described when reaching the distance travelled of first website and the current system according to the target train
Between obtain the step of target train reaches the prediction arrival time of the first website and specifically include：
According to the speed of service parameter prediction speed of service v of the target train is obtained in conjunction with formula onei0'；
The distance travelled of first website and described current is reached according to the prediction speed of service, the target train
System time obtains the prediction arrival time T in conjunction with formula twotyD_n1；
Wherein, vi0For the initial operating speed of the target train；For the limitation speed of the target train；VcFor institute
State the average speed of the affiliated type train of target train；α, beta, gamma (α >=0, β >=0, γ >=0) are speed weight, alpha+beta+γ=1；
TsysFor present system time；Si1The distance travelled of first website is reached for the target train.
Preferably, distance is nearest on obtaining the target train arrival direction of advance according to the travel information first
Before the step of prediction arrival time of website, the method further includes：
Prediction arrival time and actual achievement generated time arrival time of first website are reached according to the target train
Error update information；
It is updated described in train arrival of the previous column with the target train same type according to the time error fresh information
The time difference information of first website.
Preferably, the travel information further includes：The running schedule of the target train, the running schedule include
The bus stop of the target train and through missing the stop, and in each bus stop and berthing time through missing the stop；
Correspondingly, this method further includes：
According to the running schedule of the target train obtain the target train first website residence time；
It obtains the target train according to the residence time and the prediction arrival time and sails out of first website
Predict the departure time.
The present invention also provides a kind of target train arrival time prediction meanss of railway trip dress system, including：
First acquisition module, for when detecting the late signal of large area, obtaining the travel information of the target train
And type of train；
First prediction module is used for according to distance in the travel information acquisition target train arrival direction of advance most
The prediction arrival time of the first close website；
Second acquisition module, the actual achievement that first website is reached for obtaining the target train reach the time；
Third acquisition module, for same according to the type of train of target train acquisition previous column and the target train
The train of type reaches the time difference information of first website；
Calibration module, for calibrating the target column spacing according to the actual achievement arrival time and the time difference information
Mileage from next website；
Second prediction module reaches the pre- of next website for obtaining the target train according to the mileage after calibration
Survey arrival time.
Preferably, the travel information includes：The current system of traffic coverage and trip's dress system residing for the target train
It unites the time；
Correspondingly, first prediction module is specifically used for the traffic coverage residing for the target train, obtains institute
State the distance travelled that target train reaches first website；In the operation for reaching first website according to the target train
Journey and the present system time obtain the prediction arrival time that the target train reaches the first website.
Preferably, the travel information further includes：The speed of service parameter of the target train；
Correspondingly, first prediction module is specifically used for, according to the speed of service parameter, in conjunction with formula one, obtaining
The prediction speed of service v of the target traini0'；
The distance travelled of first website and described current is reached according to the prediction speed of service, the target train
System time obtains the prediction arrival time T in conjunction with formula twotyD_n1；
Wherein, vi0For the initial operating speed of the target train；For the limitation speed of the target train；VcFor institute
State the average speed of the affiliated type train of target train；α, beta, gamma (α >=0, β >=0, γ >=0) are speed weight, alpha+beta+γ=1；
TsysFor present system time；Si1The distance travelled of first website is reached for the target train.
Preferably, described device further includes：Update module；
The update module, prediction arrival time and actual achievement for reaching first website according to the target train
Generated time arrival time error update information；
It is updated described in train arrival of the previous column with the target train same type according to the time error fresh information
The time difference information of first website.
Preferably, the travel information further includes：The running schedule of the target train, the running schedule include
The bus stop of the target train and through missing the stop, and in each bus stop and berthing time through missing the stop；
Correspondingly, which further includes：Third prediction module；
The third prediction module, for obtaining the target train in institute according to the running schedule of the target train
State the residence time of the first website；The target train, which is obtained, according to the residence time and the prediction arrival time sails out of institute
State the prediction departure time of the first website.
As shown from the above technical solution, the target train arrival time for the railway trip dress system that the embodiment of the present invention proposes is pre-
Actual achievement operation information and prediction operation information of the method and device based on target train are surveyed, adaptively to the arrival of target train
Time is predicted compared with prior art, there is precision of prediction great number.
Description of the drawings
The features and advantages of the present invention can be more clearly understood by reference to attached drawing, attached drawing is schematically without that should manage
Solution is carries out any restrictions to the present invention, in the accompanying drawings：
Fig. 1 shows a kind of target train arrival time prediction side for railway trip dress system that one embodiment of the invention provides
The flow diagram of method；
Fig. 2 shows a kind of target train arrival time prediction dresses for railway trip dress system that one embodiment of the invention provides
The flow diagram set；
Fig. 3 shows a kind of target train arrival time prediction for railway trip dress system that another embodiment of the present invention provides
The flow diagram of device.
Specific implementation mode
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, ordinary skill people
The every other embodiment that member is obtained without making creative work, shall fall within the protection scope of the present invention.
Fig. 1 shows a kind of prediction side for target train arrival time railway trip dress system that one embodiment of the invention provides
The flow diagram of method, the target train arrival time prediction technique, including：
110, when detecting the late signal of large area, the travel information and type of train of the target train are obtained；
It should be noted that there are many modes of the triggering late signal of large area, illustrate：If trip's dress system detects
Administrative train occur large area it is late when, trigger the late signal of large area；Either, related personnel according to expertise in correspondence
Time by way of pressing keys, triggers the late signal of large area；
Correspondingly, in the late signal of occurrence of large-area, trip's dress system stops receiving TDMS periodic plans, only receives TDMS
Actual achievement information, the travel information containing target train in actual achievement information, is managed collectively administrative train by trip's dress system；
Understandable to be, preset ratio herein can be 60%, 80% etc., if administrative train has 80% row
Vehicle is all late or staff independently judges that the big name area of appearance is late, then triggers the late signal of large area.
120, the target train is obtained according to the travel information and reaches the first website that distance is nearest in direction of advance
Prediction arrival time；
130, it obtains the actual achievement that the target train reaches first website and reaches the time；
140, previous column is obtained according to the type of train of the target train and the train of the target train same type arrives
Up to the time difference information of first website；
Being understood that color is, when each train passes through the first website, system will record the train in the first website
Predict arrival time, actual achievement arrival time and time difference information.
150, the target column vehicle is calibrated apart from the next stop according to the actual achievement arrival time and the time difference information
The mileage of point；
It should be noted that occur large area it is late when, target train reach the first website actual achievement arrival time and
Predict that arrival time is probably inconsistent.Accordingly, it is possible to which trip's dress system occur thinks that target train at a time reaches
One website, and the case where actually target train sails out of the first website already.Therefore it needs to target column vehicle apart from next website
Mileage is calibrated, to improve the accuracy for reaching the time of prediction.
160, the prediction arrival time that the target train reaches next website is obtained according to the mileage after calibration.
Actual achievement operation information of the embodiment of the present invention based on target train and prediction operation information, adaptively to target column
The arrival time of vehicle is predicted compared with prior art, there is that precision of prediction is high.
Moreover, the present embodiment considers the travel information of target train and the time difference information of same type train,
With according to travel information obtain prediction arrival time after, based on time difference information to target column vehicle in next website
Journey is modified, to further improve the accuracy of prediction.
The step 120 in the present embodiment is described in detail below：
The present system time for the traffic coverage and trip's dress system residing for the target train for including according to travel information；
Traffic coverage of trip's dress system residing for the target train obtains the target train and reaches the first stop
The distance travelled of point；
The speed of service parameter for the target train that trip's dress system includes according to travel information, in conjunction with formula one, described in acquisition
The prediction speed of service v of target traini0'；
The distance travelled of first website and described current is reached according to the prediction speed of service, the target train
System time obtains the prediction arrival time T in conjunction with formula twotyD_n1；
Wherein, vi0For the initial operating speed of the target train；For the limitation speed of the target train；VcFor institute
State the average speed of the affiliated type train of target train；α, beta, gamma (α >=0, β >=0, γ >=0) are speed weight, alpha+beta+γ=1；
TsysFor present system time；Si1The distance travelled of first website is reached for the target train.
It is specific as follows the present invention also provides the prediction scheme of another prediction arrival time in a possible embodiments：
Prediction arrival time and actual achievement generated time arrival time of first website are reached according to the target train
Error update information；
It is updated described in train arrival of the previous column with the target train same type according to the time error fresh information
The time difference information of first website.
In another possible embodiments, the invention also provides target train slave sites to predict the departure time, specific steps
It is as follows：
The running schedule for the target train that trip's dress system includes according to travel information obtains target train described first
The residence time of website；
It is understandable to be, described in running schedule the residence time in bus stop of original plan general objective train；
It obtains the target train according to the residence time and the prediction arrival time and sails out of first website
Predict the departure time.
The present embodiment further predicts the departure time based on prediction arrival time, accurate compared to the original departure time
Spend higher.
Referring to example, the present invention is described in detail：
After S1, the triggering late signal of large area, trip's dress system automatically records reference information, and is given birth to automatically according to reference information
At check information；
S2, according to the check information that automatically generates, generate each train reach nearest station it is different to point time, completion
It predicts for the first time；
When S3, train reach the nearest station of prediction for the first time, actual achievement arrival time can be generated, and calibration letter is generated with this
Breath；
After S4, train are outputed from the station after arrival, start second and predict, predict for second the process reference time by with
Actual achievement arrival time generates after being corrected；
When S5, train reach the station of second of prediction, actual achievement arrival time can be generated, and calibration information is generated with this；
S6, further, if there are the trains of same type to pass through this traffic coverage before train, train will be according to previous column
Vehicle is corrected；
S7, triggering stop the late signal of large area, and system returns normal condition, continues to TDMS information.
Expansion explanation is carried out to above-mentioned steps below：
S1 is specifically included：
S101, occur train large area it is late when, trip dress system stops receiving TDMS periodic plans, only receives TDMS actual achievements
Information.Actual achievement information includes train bus stop and whole actual achievement information through missing the stop.
S102, trip's dress system road bureau central platform are managed collectively train number according to type of train on the train of approach local exchange.
S103, trip dress system trigger the late signal of large area, and system starts train arrival time and adaptively adjusts plan automatically
Slightly.
S104, reference information include as follows：After triggering the late signal of large area, when trip's dress system automatically records current system
Between Tsys, train RiResiding traffic coverage set Inti={ (IntF1,IntN1),(IntF2,IntN2) ..., (IntFn,IntNn)}
((IntFj,IntNj) indicate train RiFrom j-th of section, Int after the triggering late signal of large areaFjIt has been missed the stop that, IntNjIt will arrive
Stand) train RiInitial operating speed vi0, from each train speed limit of TD acquisitionsInitial calibration speed weight α, β, γ (α >=0, β
>=0, γ >=0) (wherein alpha+beta+γ=1)；
S105, check information include as follows：Train Ri1st section (Int after the late signal of large areaF1,IntN1), away from stop
The mileage S of the next stopi1, the train average speed V of variant typec, obtain predicted operation speed
It should be noted that mileage Si1Acquisition methods it is as follows：According to train RiSail out of website IntF1Time and train
RiSpeed of service parameter calculate and obtain train RiWith website IntF1Between distance, then according to traffic coverage (IntF1,
IntN1), distance, calculate and obtain mileage Si1。
S2 is specifically included：
The check information that S201, foundation automatically generate, generates train RiReach IntN1To the point time, train predicts
Up to time IntN1Time of standing is
S202, the prediction time of departure
S203, trip's dress system record predicted time, complete to predict for the first time.
S3 is specifically included：
S301, train reach the Int of prediction for the first timeN1When station, actual achievement arrival time T can be generatedsjDt_n1, and given birth to this
At calibration information.
S302, calibration information generating process are as follows：Train reaches the Int of prediction for the first timeN1When station, generates actual achievement and reach
Time TsjDt_n1, train is from IntN1After station is outputed, actual achievement time T is generatedsjFt_n1.And and TtyD_n1、TtyF_n1It is compared production
Raw time error tDy-s、tFy-s.And this time error is passed to the same type train that next column will be Jing Guo this segment.
S303 while correcting train running interval set Inti(IntF2,IntN2), each train is obtained away from the stop next stop
Mileage Si2。
S4 is specifically included：
S401, train are from IntN1After station is outputed, starts second and predict.Second prediction process reference time by with reality
Achievement arrival time TsjDt_n1It is generated after being corrected.
S402, second of prediction fiducial time：Trip's dress system automatically updates present system time Tsys, residing for each train
Traffic coverage set (IntF2,IntN2), from the newer each train speed limits of TDAccording to TsjDt_n1With Si1, generate actual motion speed
Spend vi1, generate correction rate weight α ', β ', γ ' (α ' >=0, β ' >=0, γ ' >=0) and meet α '+β '+γ '=1.
S403, second of prediction check information：Each train is away from the mileage S for stopping the next stopi2, obtain verification speed
S404, second of prediction process are as follows：The prediction arrival time Int of trainN2Time of standing is
S405, the prediction time of departure
S406, trip's dress system record predicted time, complete second and predict.
S5 is specifically included：
S501, train reach the Int of second of predictionN2When station, actual achievement arrival time T can be generatedsjDt_n2, and given birth to this
At calibration information.
S502, calibration information generating process are as follows：Train reaches the Int of second of predictionN2When station, generates actual achievement and reach
Time TsjDt_n2、TsjFt_n2, train is from IntN2After station is outputed, actual achievement time T is generatedsjFt_n2.And and TtyD_n2、TtyF_n2It carries out
Compare generation time error tDy-s、tFy-s.And this error is passed to the same type train that next column will be Jing Guo this segment.
Further, train RiFrom j-th of section (Int after the triggering late signal of large areaFj,IntNj), IntFjIt is already expired
It stands, IntNjIt will arrive at a station, the step of repeating S4, S5 is generated to the prediction arrival time Int of trainNjTime of standing isPredict the time of departure It reaches
IntNjAfter can generate actual achievement arrival time TsjDt_nj, actual achievement effect time of departure TsjFt_nj.And and TtyD_nj、TtyF_njIt is compared production
Raw time error tDy-s、tFy-s.And this error is passed to the same type train that next column will be Jing Guo this segment.
S6 is specifically included：
If there are the trains of same type to pass through this traffic coverage before S601, train, train will be according to S3, S4, S5 step
Carry out, and be added it is that previous train generates and with time error tDy-s、tFy-s, predict that the arrival time of this train is the pre- of train
Survey arrival time IntN2Time of standing is
S602, the prediction time of departure
In S7：Step S4, S5, S6 is repeated until exiting the late pattern of large area.
For method embodiment, for simple description, therefore it is all expressed as a series of combination of actions, but ability
Field technique personnel should know that embodiment of the present invention is not limited by the described action sequence, because according to the present invention
Embodiment, certain steps can be performed in other orders or simultaneously.Next, those skilled in the art should also know that,
Embodiment described in this description belongs to preferred embodiment, involved action embodiment party not necessarily of the present invention
Necessary to formula.
Fig. 2 shows a kind of target train arrival time prediction dresses for railway trip dress system that one embodiment of the invention provides
The flow diagram set, referring to Fig. 2, which includes：First acquisition module 21, the first prediction module 22, the second acquisition module
23, third acquisition module 24, calibration module 25 and the second prediction module 26, wherein；
First acquisition module 21, the stroke letter for when detecting the late signal of large area, obtaining the target train
Breath and type of train；
First prediction module 22 reaches distance in direction of advance for obtaining the target train according to the travel information
The prediction arrival time of the first nearest website；
Second acquisition module 23, the actual achievement that first website is reached for obtaining the target train reach the time；
Third acquisition module 24, for obtaining previous column and the target train according to the type of train of the target train
The train of same type reaches the time difference information of first website；
Calibration module 25, for calibrating the target train according to the actual achievement arrival time and the time difference information
Mileage apart from next website；
Second prediction module 26 reaches next website for obtaining the target train according to the mileage after calibration
Predict arrival time.
It should be noted that when the administrative train of the trip's of detecting dress system has more than the Train delay of preset ratio, first
Acquisition module 21 obtains the travel information and type of train of target train from TMDS systems；And the travel information got is sent
To the first prediction module 22, type of train is sent to third acquisition module 24, by the first prediction module 22 to target train into
Row is predicted for the first time, and prediction result is sent to correction module 25；By third acquisition module 24 according to according to the target column
The time error that the type of train acquisition previous column of vehicle and the train of the target train same type reach first website is believed
Breath, and time difference information is sent to correction module 25；After the completion of predicting for the first time, the second acquisition module 23 obtains target column
The actual achievement that vehicle reaches reaches the time, and actual achievement arrival time is sent to calibration module 25；By calibration module 25 according to the actual achievement
Arrival time and the time difference information calibrate mileage of the target column vehicle apart from next website, and by the mileage after calibration
It is sent to the second prediction module 26, carrying out second to target train by the second prediction module 26 predicts.Similarly, above-mentioned several moulds
The prediction work on the entire stroke of target train can be completed in block repeated work.
Actual achievement operation information of the embodiment of the present invention based on target train and prediction operation information as a result, it is adaptively right
The arrival time of target train is predicted compared with prior art, there is precision of prediction great number.
In the present embodiment, travel information includes：The current system of traffic coverage and trip's dress system residing for the target train
It unites the time；
Correspondingly, first prediction module 21 is specifically used for the traffic coverage residing for the target train, obtains
The target train reaches the distance travelled of first website；The operation of first website is reached according to the target train
Mileage and the present system time obtain the prediction arrival time that the target train reaches the first website.
In the present embodiment, the travel information further includes：The speed of service parameter of the target train；
Correspondingly, first prediction module 21 is specifically used for being obtained in conjunction with formula one according to the speed of service parameter
Take the prediction speed of service v of the target traini0'；
The distance travelled of first website and described current is reached according to the prediction speed of service, the target train
System time obtains the prediction arrival time T in conjunction with formula twotyD_n1；
Wherein, vi0For the initial operating speed of the target train；For the limitation speed of the target train；VcFor institute
State the average speed of the affiliated type train of target train；α, beta, gamma (α >=0, β >=0, γ >=0) are speed weight, alpha+beta+γ=1；
TsysFor present system time；Si1The distance travelled of first website is reached for the target train.
In a possible embodiments, described device further includes：Update module；
The update module, prediction arrival time and actual achievement for reaching first website according to the target train
Generated time arrival time error update information；
It is updated described in train arrival of the previous column with the target train same type according to the time error fresh information
The time difference information of first website.
Fig. 3 shows a kind of target train arrival time prediction for railway trip dress system that another embodiment of the present invention provides
The flow diagram of device, referring to Fig. 3, which includes：First acquisition module 31, the first prediction module 32, second obtain mould
Block 33, calibration module 34, the second prediction module 35, third acquisition module 36 and third prediction module 37, wherein；
First acquisition module 31, the first prediction module 32, the second acquisition module 33, calibration module 34, the second prediction module
35, third acquisition module 36 the first acquisition module 21 in embodiment corresponding with Fig. 2, the first prediction module 22, second respectively
Acquisition module 23, third acquisition module 24, calibration module 25 and the second prediction module 26 are corresponding, and operation principle is identical,
Therefore no longer repeated herein, concrete function please refers to the description of the corresponding embodiments of Fig. 2；
The travel information further includes：The running schedule of the target train, the running schedule include the mesh
Mark the bus stop of train and through missing the stop, and in each bus stop and berthing time through missing the stop；
Correspondingly, the third prediction module 37, the operation of the target train for including according to travel information
Timetable obtain the target train first website residence time；It is reached according to the residence time and the prediction
Time obtains the prediction departure time that the target train sails out of first website.
For device embodiments, since it is substantially similar to method embodiment, so description is fairly simple,
Related place illustrates referring to the part of method embodiment.
It should be noted that in all parts of the device of the invention, according to the function that it to be realized to therein
Component has carried out logical partitioning, and still, the present invention is not only restricted to this, all parts can be repartitioned as needed or
Person combines.
The all parts embodiment of the present invention can be with hardware realization, or to transport on one or more processors
Capable software module is realized, or is realized with combination thereof.In the present apparatus, PC is by realizing internet to equipment or device
The step of remote control, accurately control device or device each operate.The present invention is also implemented as executing here
Some or all equipment or program of device of described method are (for example, computer program and computer program production
Product).The program of the present invention, which is achieved, may be stored on the computer-readable medium, and the file or document tool that program generates
Having can be statistical, generates data report and cpk reports etc., and batch testing can be carried out to power amplifier and is counted.On it should be noted that
Stating embodiment, the present invention will be described rather than limits the invention, and those skilled in the art are not departing from
Replacement embodiment can be designed in the case of attached the scope of the claims.It in the claims, should not will be between bracket
Any reference mark be configured to limitations on claims.Word "comprising" does not exclude the presence of member not listed in the claims
Part or step.Word "a" or "an" before element does not exclude the presence of multiple such elements.The present invention can borrow
Help include the hardware of several different elements and be realized by means of properly programmed computer.If listing equipment for drying
Unit claim in, several in these devices can be embodied by the same hardware branch.Word first,
Second and the use of third etc. do not indicate that any sequence.These words can be construed to title.
Although the embodiments of the invention are described in conjunction with the attached drawings, but those skilled in the art can not depart from this hair
Various modifications and variations are made in the case of bright spirit and scope, such modifications and variations are each fallen within by appended claims
Within limited range.
Claims (10)
1. a kind of target train arrival time prediction technique of railway trip dress system, which is characterized in that including：
When detecting the late signal of large area, the travel information and type of train of the target train are obtained；
The target train, which is obtained, according to the travel information reaches predicting for distance is nearest in direction of advance the first website
Up to the time；
It obtains the target train and reaches the actual achievement of first website and reach the time；
The train that previous column and the target train same type are obtained according to the type of train of the target train reaches described the
The time difference information of one website；
Mileage of the target column vehicle apart from next website is calibrated according to the actual achievement arrival time and the time difference information；
The prediction arrival time that the target train reaches next website is obtained according to the mileage after calibration.
2. according to the method described in claim 1, it is characterized in that, the travel information includes：Residing for the target train
The present system time of traffic coverage and trip's dress system；
Correspondingly, described that the first stop that distance is nearest in the target train arrival direction of advance is obtained according to the travel information
The step of prediction arrival time of point, specifically includes：
According to the traffic coverage residing for the target train, obtain in the operation that the target train reaches first website
Journey；
The distance travelled of first website is reached according to the target train and the present system time obtains the target
Train reaches the prediction arrival time of the first website.
3. according to the method described in claim 2, it is characterized in that, the travel information further includes：The fortune of the target train
Row speed parameter；
Correspondingly, described the distance travelled of first website to be reached according to the target train and the present system time obtains
The step of taking the target train to reach the prediction arrival time of the first website specifically includes：
According to the speed of service parameter prediction speed of service v of the target train is obtained in conjunction with formula onei0'；
The distance travelled of first website and the current system are reached according to the prediction speed of service, the target train
Time obtains the prediction arrival time T in conjunction with formula twotyD_n1；
Wherein, vi0For the initial operating speed of the target train；For the limitation speed of the target train；VcFor the mesh
Mark the average speed of the affiliated type train of train；α, beta, gamma (α >=0, β >=0, γ >=0) are speed weight, alpha+beta+γ=1；Tsys
For present system time；Si1The mileage of first website is reached for the target train.
4. according to claim 1-3 any one of them methods, which is characterized in that the method further includes：
Prediction arrival time and the actual achievement generated time arrival time error of first website are reached according to the target train
Fresh information；
Previous column is updated according to the time error fresh information and the train of the target train same type reaches described first
The time difference information of website.
5. according to claim 1-3 any one of them methods, which is characterized in that the travel information further includes：The target
The running schedule of train, the running schedule include the bus stop of the target train and through missing the stop, and in each stop
It stands and the berthing time through missing the stop；
Correspondingly, this method further includes：
According to the running schedule of the target train obtain the target train first website residence time；
The prediction that the target train sails out of first website is obtained according to the residence time and the prediction arrival time
Departure time.
6. a kind of target train arrival time prediction meanss of railway trip dress system, which is characterized in that including：
First acquisition module, for when detecting the late signal of large area, obtaining the travel information and row of the target train
Vehicle type；
First prediction module, for obtaining the target train according to the travel information, to reach distance in direction of advance nearest
The prediction arrival time of first website；
Second acquisition module, the actual achievement that first website is reached for obtaining the target train reach the time；
Third acquisition module, for obtaining previous column and the target train same type according to the type of train of the target train
Train reach the time difference information of first website；
Calibration module, for being calibrated under the target column vehicle distance according to the actual achievement arrival time and the time difference information
The mileage of one website；
Second prediction module reaches predicting for next website for obtaining the target train according to the mileage after calibration
Up to the time.
7. device according to claim 6, which is characterized in that the travel information includes：Residing for the target train
The present system time of traffic coverage and trip's dress system；
Correspondingly, first prediction module is specifically used for the traffic coverage residing for the target train, obtains the mesh
Mark train reaches the distance travelled of first website；According to the target train reach first website distance travelled and
The present system time obtains the prediction arrival time that the target train reaches the first website.
8. device according to claim 7, which is characterized in that the travel information further includes：The fortune of the target train
Row speed parameter；
Correspondingly, first prediction module, is specifically used for according to the speed of service parameter, in conjunction with formula one, described in acquisition
The prediction speed of service v of target traini0'；
The distance travelled of first website and the current system are reached according to the prediction speed of service, the target train
Time obtains the prediction arrival time T in conjunction with formula twotyD_n1；
Wherein, vi0For the initial operating speed of the target train；For the limitation speed of the target train；VcFor the mesh
Mark the average speed of the affiliated type train of train；α, beta, gamma (α >=0, β >=0, γ >=0) are speed weight, alpha+beta+γ=1；Tsys
For present system time；Si1The distance travelled of first website is reached for the target train.
9. according to claim 6-8 any one of them devices, which is characterized in that described device further includes：Update module；
The update module, prediction arrival time and actual achievement for reaching first website according to the target train reach
Generated time time error update information；
Previous column is updated according to the time error fresh information and the train of the target train same type reaches described first
The time difference information of website.
10. according to claim 6-8 any one of them devices, which is characterized in that the travel information further includes：The target
The running schedule of train, the running schedule include the bus stop of the target train and through missing the stop, and in each stop
It stands and the berthing time through missing the stop；
Correspondingly, which further includes：Third prediction module；
The third prediction module, for obtaining the target train described the according to the running schedule of the target train
The residence time of one website；The target train, which is obtained, according to the residence time and the prediction arrival time sails out of described the
The prediction departure time of one website.
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| CN110481603B (en) * | 2018-05-14 | 2021-06-18 | 比亚迪股份有限公司 | Train equal interval adjusting method, device and storage medium |
| CN109508751B (en) * | 2018-12-06 | 2021-02-09 | 西南交通大学 | Deep neural network model modeling method for high-speed railway train late time prediction |
| CN109359788B (en) * | 2018-12-06 | 2021-08-17 | 西南交通大学 | Method for establishing high-speed train initial late point influence prediction model |
| CN110626391A (en) * | 2019-09-27 | 2019-12-31 | 交控科技股份有限公司 | Information prediction method of passenger information system |
| CN110758493B (en) * | 2019-11-14 | 2021-01-05 | 通号城市轨道交通技术有限公司 | Train arrival time prediction method and system |
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| CN111768074B (en) * | 2020-05-22 | 2024-01-19 | 北京交通大学 | Novel intelligent train operation adjusting method |
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| CN112580204B (en) * | 2020-12-16 | 2022-07-26 | 同济大学 | Train delay time prediction method under abnormal events in railway section |
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