CN109523776A

CN109523776A - Public transport operation plan generating means, method and system

Info

Publication number: CN109523776A
Application number: CN201710853608.2A
Authority: CN
Inventors: 鲁时雨; 车航宇
Original assignee: Hitachi Ltd
Current assignee: Hitachi Ltd
Priority date: 2017-09-20
Filing date: 2017-09-20
Publication date: 2019-03-26
Anticipated expiration: 2037-09-20
Also published as: CN109523776B

Abstract

The present invention provides a kind of public transport operation plan generating means, method and system.The device includes: website attribute storage unit, stores passenger flow feature, passenger flow threshold value, affair character and prediction scheme corresponding with the combination of the passenger flow feature and affair character operation of each website；Passenger flow information acquisition unit obtains passenger flow information relevant to website；Passenger flow feature judging part, judges whether current passenger flow feature has reached passenger flow threshold value；Event information acquisition unit obtains event information in the case where current passenger flow feature has reached passenger flow threshold value；And scheme forming portion matches the combination of stored passenger flow feature and affair character using current passenger flow feature and current event feature, extracts prediction scheme operation, thus generates public transport operation plan.Affair character is not only considered as a result, but also also considers very important current passenger flow feature, so as to provide the efficient public transport operation plan generation technique for comprehensively considering affair character and passenger flow feature.

Description

Public transport operation plan generating means, method and system

Technical field

The present invention relates to public transport to run field, generates more specifically to based on passenger flow feature and affair character Public transport operation plan generating means, the method and system of public transport operation plan.

Background technique

With the high speed development of urbanization, more and more people use public transport, travel station thus or be gathered in In square, building, it is easy to form the crowded and out of control of a large amount of crowds, cause serious accident.For this multiple feelings The operating administration of condition, public transport is provided with emergency disposal prediction scheme.

However, in the emergency disposal prediction scheme in these places often particular event occurs as trigger condition, according to simple Data analysis based on temporal regularity, and operation situation all the time is managed in conjunction with artificial experience.If encountered prominent Hair crowd, emergency event, are difficult which type of measure determination in time should most take, it is also difficult to which determination is adopted before taking measures Effect after taking prediction scheme.

For example, patent document 1 discloses a kind of rail traffic road network dynamic emergency disposal scheme generation method.This method exists Event, time, place, environmental characteristic, executing subject, each disposition separated in 6 dimensions of information exchange in emergency preplan are wanted Point, so that library will be put by forming digitized disposition；The characteristic information of extraction event, root after emergency event receives a crime report or is continuous alert Emergency information will be put the information in library with disposition according to the matching algorithm based on similarity to match, extract the degree of association Higher disposition main points, and manual evaluation and adjustment are carried out, finally it is spliced to form and can directly uses according to splicing rule compositor Disposal method (abstract of description referring to patent document 1).

Patent document 1:CN104268710A

However, the scheme of patent document 1 emergency event receive a crime report or characteristic information that is continuous alert and extracting event after It is critically important without considering to only considered relatively-stationary affair character as the trigger condition of matching prediction scheme processing with prediction scheme Current passenger flow feature.In addition, this method after prediction scheme similarity mode if there is approximate match item, need by artificial warp Scheme will be put to judge optimal solution and reject extra disposition by testing, and lacking objective and quantization foundation to prove the scheme selected is It is most suitable.

Therefore, in the prior art, lack the efficient public transport operation for comprehensively considering affair character and passenger flow feature Plan generation technique.

Summary of the invention

The present invention comprehensively considers affair character and visitor for above-mentioned technical problem in the prior art, it is intended that providing Flow efficient public transport operation plan generating means, the method and system of feature.

In order to achieve the above object, embodiments of the present invention provide a kind of public transport operation plan generating means, use In generation public transport operation plan characterized by comprising website attribute storage unit, storage is as public transport operation pair The website attribute information of at least one website of elephant, the website attribute information include the passenger flow feature of each website, passenger flow threshold Value, affair character and prediction scheme corresponding with the combination of the passenger flow feature and affair character operation；Passenger flow information obtains Portion is taken, passenger flow information relevant to website is obtained；Passenger flow feature judging part judges the visitor obtained by the passenger flow information acquisition unit The current passenger flow feature for the website that stream information is reflected, if reached the website that the website attribute storage unit is stored The passenger flow threshold value；Event information acquisition unit is being judged as that the current passenger flow feature of website reaches by the passenger flow feature judging part In the case where the passenger flow threshold value for having arrived the website, event information relevant to the website is obtained；And scheme forming portion, utilize institute The current passenger flow feature and current event feature for the website that the passenger flow information and event information of acquisition are reflected, match the website The passenger flow feature of the website stored in attribute storage unit and the combination of affair character are extracted and are deposited in the website attribute storage unit The prediction scheme operation corresponding with the combination of matched passenger flow feature and affair character of storage, thus generates public transport operation meter It draws.

According to the public transport operation plan generating means of embodiment, affair character is not only considered, but also also consider non- Often important current passenger flow feature, so as to provide the efficient public transport fortune for comprehensively considering affair character and passenger flow feature Battalion's plan generation technique.

Above-mentioned public transport operation plan generating means can also be with further include: prediction scheme operation simulation portion, simulation execute website Prediction scheme operation, calculate execute the prediction scheme operation in the case where the website passenger flow feature；And prediction scheme operates Rating and Valuation Department, Based on the passenger flow feature of the website calculated by prediction scheme operation simulation portion, the passenger flow threshold value and maximum are lower than with passenger flow feature The change volume of the flow of passengers is standard, is assessed the effect of prediction scheme operation.

Thereby, it is possible to objectively evaluate the validity of emergency preplan execution based on passenger flow feature, and can quickly imitate The validity of true simulation prediction scheme, quickly responds the burst large passenger flow event at scene.

Above-mentioned public transport operation plan generating means are also possible to grasped by prediction scheme operation simulation portion for prediction scheme The passenger flow threshold value and the passenger flow feature that the passenger flow feature for making the website calculated is maintained below the website are as the time pushes away Move formed curve along the integral area of time shaft it is bigger in the case where, the prediction scheme operation is commented by prediction scheme operation Rating and Valuation Department It is more excellent to estimate result.

The quantizating index of the validity for prediction scheme operation is provided as a result, can more accurately guidance management personnel be adopted Corresponding prediction scheme is taken, both ensure that safety, in turn ensures the passenger flow efficiency of operation of website.

Above-mentioned public transport operation plan generating means are also possible to fail in the scheme forming portion for a website Extract match prediction scheme operation in the case where, the prediction scheme operation simulation portion create and simulate execution the website it is multiple not Same prediction scheme operation, the scheme forming portion extract the prediction scheme operation assessment among the operation of the plurality of different prediction scheme The optimal prediction scheme operation of the assessment result in portion is operated as optimal prediction scheme, and the website attribute storage unit is directed to the website, by institute Optimal prediction scheme operation is stated to store in association with the combination of the corresponding passenger flow feature and affair character.

It is a variety of by regulating allocation even if there is no the operation of matched prediction scheme in current prediction scheme storehouse as a result, Prediction scheme is operated and is compared, and can finally obtain optimal prediction scheme operation, can generate reasonable prediction scheme based on passenger flow feature So that the station person of website executes, but also prediction scheme storehouse can be appended to so that the availability of prediction scheme storehouse is continuously improved.

Above-mentioned public transport operation plan generating means are also possible to extract in the scheme forming portion for a website In the case where the multiple and different prediction schemes operations to match stored in the website attribute storage unit, the prediction scheme operates mould Quasi- portion's simulation executes the plurality of different prediction scheme operation of the website, and the scheme forming portion is further from the multiple difference Prediction scheme operation among, the optimal prediction scheme operation of assessment result for extracting prediction scheme operation Rating and Valuation Department is grasped as optimal prediction scheme Make.

The multiple candidate prediction schemes operations extracted during operating similarity mode for prediction scheme as a result, carry out respectively Analogue simulation effectively improves the confidence level of implementation effect to extract most effective prediction scheme operation.

Above-mentioned public transport operation plan generating means are also possible to each website and are divided into multiple regions, the station The passenger flow feature of each region of point attribute storage unit storage site, the passenger flow threshold value of each region, affair character and by needle To the prediction scheme operation that the prediction scheme operation that each region executes is constituted, the passenger flow information acquisition unit obtains each region phase with website The passenger flow information of pass, the passenger flow feature judging part judge what the passenger flow information obtained by the passenger flow information acquisition unit was reflected The current passenger flow feature in each region of website, if reached the respective area for the website that the website attribute storage unit is stored The passenger flow threshold value in domain, the current passenger flow feature at least one region for being judged as website by the passenger flow feature judging part In the case where the passenger flow threshold value for having reached the corresponding region of the website, the event information acquisition unit obtains relevant to the website Event information, each region for the website that the scheme forming portion is reflected using acquired passenger flow information and event information are worked as Preceding passenger flow feature and current event feature match the passenger flow feature and event of the website stored in the website attribute storage unit The combination of feature, extract stored in the website attribute storage unit it is corresponding with the combination of matched passenger flow feature and affair character The prediction scheme operation, thus generate public transport operation plan.

The passenger flow feature of website is refined as to the passenger flow feature of each region as a result, it can be according to the position in each region Passenger flow feature independent is used with function, comprehensively considers affair character and the independent passenger flow spy in each region so as to provide The efficient public transport operation plan generation technique of sign.

Above-mentioned public transport operation plan generating means are also possible to the website attribute storage unit for the multiple of website The respective weight of region respective passenger flow characteristic storage, the scheme forming portion utilizes and the passenger flow of each region of website is special Corresponding weight is levied, is weighted for the current passenger flow feature of each region of the website, after the weighting of the website The combination of current passenger flow feature and the current event feature, matches the visitor of the website stored in the website attribute storage unit The combination for flowing feature and affair character, extract stored in the website attribute storage unit it is special with matched passenger flow feature and event The corresponding prediction scheme operation of the combination of sign, the simulation of prediction scheme operation simulation portion execute the prediction scheme operation of website, and calculating is being held The passenger flow feature of each region of the website in the case where row prediction scheme operation, prediction scheme operation Rating and Valuation Department utilizes and website Each region the corresponding weight of passenger flow feature, for each region of the website calculated by prediction scheme operation simulation portion Passenger flow feature be weighted, the passenger flow feature based on the website after weighting, to prediction scheme operation effect assess.

As a result, the case where being operated according to the passenger flow feature of each region and the combinations matches prediction scheme of affair character of website Under, or in the case where simulation prediction scheme operates and evaluates its effect, additionally it is possible to comprehensively consider the passenger flow of each region of website The factors such as the respective different degree of feature or disposition urgency provide more reasonable efficient public transport operation plan generation technique.

Above-mentioned public transport operation plan generating means are also possible to each station that the website attribute storage unit is stored The passenger flow threshold value of point includes the first passenger flow threshold value and the second passenger flow threshold value greater than the first passenger flow threshold value, the passenger flow feature Judging part judges whether the current passenger flow feature of website has reached the described of the website that the website attribute storage unit is stored First passenger flow threshold value is being judged as that the current passenger flow feature of website has reached the first of the website by the passenger flow feature judging part In the case where passenger flow threshold value, the event information acquisition unit obtains event information relevant to the website, the scheme forming portion Prediction scheme operation is extracted, when the effect that prediction scheme operation Rating and Valuation Department operates prediction scheme is assessed, is operated by the prediction scheme Simulation part is maintained below the second passenger flow threshold value and the institute of the website for the passenger flow feature for the website that prediction scheme operation calculates State passenger flow feature as time goes by formed curve along the integral area of time shaft it is bigger in the case where, the prediction scheme operation is commented It is more excellent to estimate the assessment result that portion operates the prediction scheme.

As a result, by using classification thresholds to passenger flow feature, prediction scheme operation can not only be matched from prediction scheme storehouse in time, and And can be avoided excessive prediction scheme, guarantee the passenger flow efficiency of operation of website.

Embodiments of the present invention also provide a kind of public transport operation plan generation method, for generating public transport fortune Battalion's plan, which is characterized in that the website attribute information of at least one website as public transport operation object is previously stored, The website attribute information include the passenger flow feature of each website, passenger flow threshold value, affair character and with the passenger flow feature and The corresponding prediction scheme operation of the combination of the affair character；The public transport operation plan generation method includes: passenger flow information Obtaining step obtains passenger flow information relevant to website；Passenger flow feature judgment step judges by the passenger flow information obtaining step The current passenger flow feature for the website that the passenger flow information of acquisition is reflected, if reached the passenger flow of the pre-stored website Threshold value；Event information obtaining step is being judged as that the current passenger flow feature of website reaches by the passenger flow feature judgment step In the case where the passenger flow threshold value of the website, event information relevant to the website is obtained；And scheme forming step, using being obtained The current passenger flow feature and current event feature for the website that the passenger flow information and event information taken is reflected match pre-stored The pre-stored group with matched passenger flow feature and affair character is extracted in the passenger flow feature of the website and the combination of affair character The corresponding prediction scheme operation is closed, public transport operation plan is thus generated.

Embodiments of the present invention also provide a kind of public transport operation plan generation system, for generating public transport fortune Battalion's plan, which is characterized in that the public transport operation plan generate system include passenger flow condition monitoring device, communication network, And the public transport operation plan generating means of any of the above-described, the passenger flow condition monitoring device are monitored in real time as public The passenger flow situation of at least one website of traffic operation object altogether, and generate passenger flow information relevant to website；The public friendship The passenger flow information acquisition unit of logical operation plan generating means is via the communication network, from the passenger flow condition monitoring device Obtain the passenger flow information relevant to website.

The above-mentioned each mode and its effect of public transport operation plan generating means of the invention, can also pass through public friendship Logical operation plan generation method, public transport operation plan generate system, computer are made to execute the generation of public transport operation plan The public transport operation plan of method generates program or stores the recording medium reality that public transport operation plan generates program It is existing.

Detailed description of the invention

Fig. 1 be indicate include the public transport operation plan generating means of first embodiment of the invention public transport fortune Seek the block diagram of plan generation system.

Fig. 2 is the table for indicating an example of prediction scheme storehouse in first embodiment of the invention.

Fig. 3 is to indicate public transport performed by the public transport operation plan generating means of first embodiment of the invention The flow chart of operation plan generation method.

Fig. 4 be indicate include the public transport operation plan generating means of second embodiment of the invention public transport fortune Seek the block diagram of plan generation system.

Fig. 5 is the schematic diagram for indicating the formed curve as time goes by of passenger flow feature in second embodiment of the invention.

Fig. 6 is to indicate public transport performed by the public transport operation plan generating means of second embodiment of the invention The flow chart of the concrete example 1 of operation plan generation method.

Fig. 7 is to indicate public transport performed by the public transport operation plan generating means of second embodiment of the invention The flow chart of the concrete example 2 of operation plan generation method.

Fig. 8 is the table for indicating an example of subregion passenger flow feature in third embodiment of the invention.

Fig. 9 is the table for indicating an example of subregion prediction scheme operative combination in third embodiment of the invention.

Figure 10 is to indicate public friendship performed by the public transport operation plan generating means of four embodiment of the invention The flow chart of the concrete example 3 of logical operation plan generation method.

Figure 11 is the schematic diagram for indicating the formed curve as time goes by of passenger flow feature in four embodiment of the invention.

Description of symbols:

1,1A public transport operation plan generating means；10 passenger flow information acquisition units；20 passenger flow feature judging parts；30 events Information acquiring section；40 scheme forming portions；50 website attribute storage units；60 prediction scheme operation simulation portions；70 prediction schemes operate Rating and Valuation Department；2 Passenger flow condition monitoring device；3 communication networks.

Specific embodiment

Below in conjunction with attached drawing, embodiment and concrete example, the present invention will be described in more detail.Wherein, following the description It is the example for understanding the present invention for convenience and enumerating, is not used in and limits the scope of the invention.In a specific embodiment, device The step of component having with system can be changed according to the actual situation, delete or be added, method can be according to the actual situation Change, delete, adding or change sequence.In the accompanying drawings, size, direction etc. are only to illustrate, and can be changed according to the actual situation.

(first embodiment)

Illustrate first embodiment of the invention.Public transport of the explanation including first embodiment of the invention first The public transport operation plan of operation plan generating means 1 generates system 1000.Fig. 1 is to indicate to include the first embodiment party of the invention The public transport operation plan of the public transport operation plan generating means 1 of formula generates the block diagram of system 1000, arrow therein Indicate the direction of data transmission.As shown in Figure 1, public transport operation plan generates system 1000 for generating public transport operation Plan, including passenger flow condition monitoring device 2, communication network 3 and public transport operation plan generating means 1.Detailed description below.

Passenger flow condition monitoring device 2 monitors the passenger flow shape of at least one website as public transport operation object in real time Condition, and generate passenger flow information relevant to website.Here, the website as public transport operation object is, for example, subway station, fire Station, bus station, airport etc., are not especially limited.Passenger flow condition monitoring device 2 is, for example, taking the photograph set on each region of website Camera, the gate of entrance set on website, seating capacity monitor at the vertical ladder or staircase in website etc., as long as energy Enough passenger flow situations for detecting website in real time, and the passenger flow information for reflecting the passenger flow situation is generated, also it is not specifically limited. Passenger flow information is also possible to the passenger flow extracted from initial data either the initial data such as video data and daily record data Amount, is detained the data such as density, residence time at stranded crowd number.

Communication network 3 is wired or wireless data communication network, for public transport operation plan generating means 1 and passenger flow Data communication is carried out between condition monitoring device 2, such as is filled for public transport operation plan generating means 1 from passenger flow condition monitoring Set 2 acquisitions passenger flow information relevant to website.

Public transport operation plan generating means 1 are as shown in Figure 1, include passenger flow information acquisition unit 10, the judgement of passenger flow feature Portion 20, event information acquisition unit 30, scheme forming portion 40 and website attribute storage unit 50.Wherein, passenger flow information acquisition unit 10, visitor Stream feature judging part 20, event information acquisition unit 30, scheme forming portion 40 can for example realize by way of software module, or Person can also be realized by way of dedicated hardware integration circuit.Website attributes store 50 can for example pass through hard drive The nonvolatile memories such as device, flash memory are realized.Public transport operation plan generating means 1 both can be by the computer or clothes of monomer Business device realizes that the cloud computing server that can also by seperated multiple equipment, be for example made of multiple servers is realized.In addition, The public transport operation plan being pre-stored in recording medium can also be executed by the processor of computer generates program, Realize passenger flow information acquisition unit 10, the passenger flow feature judging part 20, event information acquisition of public transport operation plan generating means 1 The function in portion 30 and scheme forming portion 40.Public transport operation plan generating means 1 can both be set to some website, for the station Point generates public transport operation plan, can also be set to public transport operation control centre etc., carry out data with multiple websites Communication, to generate comprehensive public transport operation plan to multiple websites.Detailed description below public transport operation plan Each portion of generating means 1.

The website attribute information of at least one website of the storage of website attribute storage unit 50.It is gathered around for example, being trampled due to large passenger flow It squeezes and waits hazard events that public transportation hub website generally occurs, and the structure of different websites is different, geographical location is different, can The passenger flow pressure of receiving is also different, therefore to be first defined to the essential attribute of each website.Website attribute information for example wraps Include the passenger flow feature of each website, passenger flow threshold value, affair character and corresponding with the combination of passenger flow feature and affair character Prediction scheme operation.

Wherein, passenger flow feature refers to the behavioral characteristics of reflection passenger flow variation, close for example including the volume of the flow of passengers, stranded crowd number, delay Degree, the residence time at least one of, such as can be showed by KPI (KPI Key Performance Indicator).Passenger flow threshold value refers to conduct To each passenger flow feature triggering early warning condition threshold value or in actual operations to avoid the passenger flow feature from reaching threshold Value, the e.g. threshold value of KPI, can suitably set according to the concrete condition of historical data and each website.For example, passenger flow feature Threshold value can be set as the website the passenger flow feature maximum value such as 80%, the maximum value of passenger flow feature for example depends on It is defined in the design objective of website, or by veteran administrative staff.

Affair character refers to the feature of event related with website, e.g. causes outside the website of burst large passenger flow and interior Portion's affair character.Burst large passenger flow is caused by combination as different time or event, can to these event categories and Definition.These events include: Train delay (within 5 minutes), Train delay (5-10 minutes), Train delay (are greater than 10 points Clock), bad weather precipitation (light rain, moderate rain, heavy rain, heavy rain), burst large passenger flow flow caused by recreational and sports activities (small passenger flow, Middle passenger flow, large passenger flow) etc..That is, include late, bad weather, external collective activity etc. to the event that passenger flow has an impact, wherein Late to define late in short-term, middle Shi Wandian, long Shi Wandian, bad weather includes rainwater, the wind-force of different measurements, external collective The case where activity includes fixed time period and on-fixed period.

Region, the equipment that prediction scheme uses, the personnel for executing prediction scheme and the specific limit that prediction scheme Operation Definition prediction scheme executes At least one of process degree, such as refer to the combination definition of a whole set of prediction scheme operation, it may include: the region ID that prediction scheme executes (such as entrance, subway concourse, platform, staircase), prediction scheme execute the equipment (fence, direction board, gate) needed, the grade of current limliting (1/4 current limliting, completely closes off half current limliting), the personnel (person of station A, the person of station B, the person of station C) for executing prediction scheme.

In website attribute storage unit 50, prediction scheme operation is correspondingly deposited with the combination of passenger flow feature and affair character Storage, to constitute prediction scheme storehouse.Fig. 2 is the table for indicating an example of prediction scheme storehouse in first embodiment of the invention.As shown in Fig. 2, making One for passenger flow feature exemplifies stranded crowd number, heavy rain, recreational and sports activities and late is shown respectively as affair character, with above-mentioned visitor The combination of stream feature and affair character is respectively correspondingly stored with the combination of various prediction scheme operations.

Return to each portion that Fig. 1 continues to explain public transport operation plan generating means 1.Passenger flow information acquisition unit 10 obtain with The relevant passenger flow information of website.For example, passenger flow information acquisition unit 10 can be via communication network 3 from passenger flow condition monitoring device 2 Obtain passenger flow information relevant to website.As described above, the passenger flow information obtained is either video data and daily record data etc. Initial data is also possible to the volume of the flow of passengers extracted from initial data, stranded crowd number, is detained the data such as density, residence time.? In the case that the passenger flow information of acquisition is initial data, passenger flow information acquisition unit 10 can be handled it, to extract anti- Answer the above-mentioned data of passenger flow feature.

Passenger flow feature judging part 20 judges working as the website that the passenger flow information obtained by passenger flow information acquisition unit 10 is reflected Preceding passenger flow feature, if reached the passenger flow threshold value for the website that website attribute storage unit 50 is stored.For example, in passenger flow feature In the case where being showed by KPI, passenger flow feature judging part 20 monitors the real-time passenger flow feature KPI of website, judges that real-time passenger flow is special Whether the value of sign KPI has reached KPI threshold value.

Event information acquisition unit 30 obtains event information relevant to the website, such as can obtain via communication network 3 Event information, or prompt administrative staff are so that administrative staff's incoming event information.Wherein, sentence by passenger flow feature judging part 20 In the case that the current passenger flow feature for website of breaking has reached the passenger flow threshold value of website, event information acquisition unit 30 is obtained and the station The relevant event information of point.For example, when occur happen suddenly large passenger flow when, that is, website passenger flow feature reach threshold value when It waits, acquires the affair character around the website and in station.

The current passenger flow feature for the website that scheme forming portion 40 is reflected using acquired passenger flow information and event information With current event feature, the passenger flow feature of the website stored in website attribute storage unit 50 and the combination of affair character are matched, Prediction scheme corresponding with the combination of the matched passenger flow feature and affair character operation stored in website attribute storage unit 50 is extracted, by This generates public transport operation plan.For example, the prediction scheme shown in Fig. 2 using the combination of above-mentioned passenger flow feature and affair character It is matched in library.Here, as long as matching way can be measured in the combination and prediction scheme storehouse of current passenger flow feature and current event feature Similitude between passenger flow feature and the combination of affair character can be used based on Euclidean distance and calculate two groups of spies The similarity calculation methods such as the similitude of sign match, and from prediction scheme storehouse, extract and current passenger flow feature and current event feature The highest passenger flow feature of Ensemble similarity and affair character combination corresponding to prediction scheme operation.Certainly, matching way is unlimited In above-mentioned similarity calculation method, such as the other modes such as Pearson came correlation calculations method also can be used and matched.

The prediction scheme operation for including in the public transport operation plan generated of scheme forming portion 40, can be pushed to website Administrative staff act in accordance with it for station person.For example, operating based on prediction scheme, specify specific station person, specific equipment specific Place do specific current-limiting operation.Public transport operation plan generating means 1 according to the present embodiment, not only consider event Feature, and very important current passenger flow feature is also considered, affair character and passenger flow feature are comprehensively considered so as to provide Efficient public transport operation plan generation technique.

Then illustrate processing performed by the public transport operation plan generating means 1 of first embodiment of the invention i.e. Public transport operation plan generation method.Fig. 3 is to indicate that the public transport operation plan of first embodiment of the invention generates dress The flow chart of public transport operation plan generation method performed by setting 1.Process shown in Fig. 3 is for example in operation shape in website It is executed always in the case where state, or is in the period execution for being easy to happen large passenger flow in website.Public transport operation plan Generation method can for example execute public transport operation plan by computer and generate program to realize.

As shown in figure 3, passenger flow information acquisition unit 10 obtains related to website first in passenger flow information obtaining step S10 Passenger flow information.Here, being set as passenger flow information acquisition unit 10 passes through the real time video data that passenger flow condition monitoring device 2 acquires, The current stranded crowd number of website is obtained as passenger flow information.

Then in passenger flow feature judgment step S20, passenger flow feature judging part 20 judges by passenger flow information obtaining step S10 The current passenger flow feature for the website that the passenger flow information of acquisition is reflected, if reached the passenger flow threshold of the pre-stored website Value.Here, the passenger flow feature KPI that the current stranded crowd number for being set as website is reflected is 550 people, and the website be detained people The corresponding KPI threshold value of number is 300 people, therefore passenger flow feature judging part 20 is judged as that current passenger flow feature has reached threshold value.

Then in event information obtaining step S30, in the current visitor for being judged as website by passenger flow feature judgment step S20 In the case that stream feature has reached the passenger flow threshold value of the website, event information acquisition unit 30 obtains event letter relevant to the website Breath.Here, the affair character that the event information for being set as event information obtaining step S30 acquisition is reflected is recreational and sports activities.In addition, Since current passenger flow feature changes at any time, in the process, passenger flow information acquisition unit 10 can also keep obtaining in real time and stand The relevant passenger flow information of point, in order to provide real-time passenger flow feature.

Then in scheme forming step S40, scheme forming portion 40 utilizes acquired passenger flow information and event information institute The current passenger flow feature and current event feature of the website of reflection, passenger flow feature and the event for matching the pre-stored website are special The combination of sign is extracted pre-stored prediction scheme operation corresponding with the combination of matched passenger flow feature and affair character, is thus given birth to At public transport operation plan.Here, being illustrated based on prediction scheme storehouse shown in Fig. 2, scheme forming portion 40 is based on current passenger flow The combination of feature (current 550 people of stranded crowd number) and current event feature (recreational and sports activities) match the passenger flow feature in prediction scheme storehouse With the combination of affair character.As shown in Fig. 2, the occurrence in prediction scheme storehouse is (the passenger flow feature: current of project corresponding to number 2 Stranded crowd number 500-999 people, affair character: recreational and sports activities), thus it is corresponding with the combination in the extraction of scheme forming portion 40 prediction scheme storehouse Prediction scheme operative combination B, so that the station person of the website acts in accordance with it.

(second embodiment)

Illustrate second embodiment of the present invention.Present embodiment increases on the basis of first embodiment For the assessment and optimization of prediction scheme operation.Difference of the present embodiment relative to first embodiment is stressed below, is closed In content identical with first embodiment or similar, omit the description in the present embodiment.

Illustrate the public transport operation plan generating means 1A of present embodiment first.Fig. 4 is to indicate to include the present invention the The public transport operation plan of the public transport operation plan generating means 1A of two embodiments generates the block diagram of system 1000.Such as Shown in Fig. 4, the public transport operation meter of the public transport operation plan generating means 1A of present embodiment in first embodiment On the basis of drawing generating means 1, prediction scheme operation simulation portion 60 and prediction scheme operation Rating and Valuation Department 70 are increased.Prediction scheme operation simulation portion 60 Rating and Valuation Department 70 can for example be realized by way of software module with prediction scheme operation, or can also pass through dedicated hardware integration The mode of circuit is realized.

The simulation of prediction scheme operation simulation portion 60 executes the prediction scheme operation of website, calculates in the case where executing prediction scheme operation The passenger flow feature of the website.For example, prediction scheme operation simulation portion 60 can calculate KPI to reflect passenger flow feature.Prediction scheme operation assessment Passenger flow feature of the portion 70 based on the website calculated by prediction scheme operation simulation portion 60, with passenger flow feature lower than the passenger flow threshold value and most The bigization volume of the flow of passengers is standard, is assessed the effect of prediction scheme operation.For example, prediction scheme operation simulation portion 60 can use emulator To simulate different a variety of prediction schemes operations, the implementation effect of prediction scheme operation Rating and Valuation Department 70 assessment a variety of prediction schemes operations, to sentence Break and optimal prediction scheme operation.

Illustrate an example for the assessment mode that prediction scheme operation Rating and Valuation Department 70 operates prediction scheme in conjunction with Fig. 5.Fig. 5 is to indicate the present invention The schematic diagram of passenger flow feature formed curve as time goes by second embodiment.In the example shown in FIG. 5, using stagnant Number is stayed as passenger flow feature KPI and is shown with the longitudinal axis, horizontal axis is the time.Curve C0 indicates the feelings for not using any prediction scheme operation The change curve of stranded crowd number under condition.Wherein, in moment T1, stranded crowd number has reached threshold value, according to the present embodiment, event letter It ceases acquisition unit 30 and obtains event information, scheme forming portion 40 matches corresponding prediction scheme operation in prediction scheme storehouse.Curve shown in fig. 5 The passage that C1 and curve C2 respectively indicates the passenger flow feature KPI (stranded crowd number) in the case where implementing different prediction scheme operations is bent Line.It operates wherein it is possible to be set as optimal prediction scheme so that passenger flow feature KPI is lower than passenger flow threshold value, and guarantees to push away with the time It is maximum that the passenger flow feature KPI (such as stranded crowd number) of shifting is formed by curve integral area.It is, optimal prediction scheme operation makes It obtains passenger flow feature KPI and but most is below threshold value close to threshold value.It is based on above-mentioned standard in the example shown in FIG. 5, curve C1 institute is right The prediction scheme operation answered is more excellent, and the operation of prediction scheme corresponding to curve C2 belongs to excessive prediction scheme.In addition, in the example shown in FIG. 5, Curve integral area is formed by as the standard for measuring the volume of the flow of passengers using passenger flow feature as time goes by, but measures the volume of the flow of passengers Standard it is without being limited thereto, such as also can simplify as the average value of passenger flow feature.

That is, being maintained below the station in the passenger flow feature for operating the website calculated for prediction scheme by prediction scheme operation simulation portion 60 The passenger flow threshold value and passenger flow feature of point as time goes by formed curve along the integral area of time shaft it is bigger in the case where, The assessment result that prediction scheme operation Rating and Valuation Department 70 operates the prediction scheme is more excellent." validity " for prediction scheme operation is provided as a result, Quantizating index, more accurately guidance management personnel can take corresponding prediction scheme, both ensure that safety, in turn ensure website Passenger flow efficiency of operation.

Then illustrate processing performed by the public transport operation plan generating means 1A of second embodiment of the present invention That is a concrete example of public transport operation plan generation method.Fig. 6 is the public transport for indicating second embodiment of the invention The flow chart of the concrete example 1 of public transport operation plan generation method performed by operation plan generating means 1A.

As shown in fig. 6, in step s101, passenger flow information acquisition unit 10 obtains passenger flow information relevant to website.Then In step s 102, passenger flow feature judging part 20 judges whether the current passenger flow feature of website has reached pre-stored passenger flow threshold Value.It is judged as in the case where not reaching threshold value in step s 102, as non-emergency conditions, return continues to execute step S101 Monitor the passenger flow situation of website.It is judged as in the case where reaching threshold value in step s 102, as emergency rating, executes step S103 obtains event information relevant to the website by event information acquisition unit 30.Then in step S104, scheme forming portion 40 match the operation of the prediction scheme in prediction scheme storehouse according to the combination of passenger flow feature and affair character.

In the case where not being matched to prediction scheme operation from prediction scheme storehouse in step S104, step S105 is executed, is grasped by prediction scheme Make simulation part 60 to create and simulate prediction scheme operation.At this point, into the analog simulation stage, such as prediction scheme can be adjusted by administrative staff Operation can also be based on preset regulated value adjusting prediction scheme by prediction scheme operation simulation portion 60 and be operated, and thus creation will simulate Prediction scheme operation.

Then in step s 106, prediction scheme operation Rating and Valuation Department 70 judges to implement the passenger flow spy after the prediction scheme operation just simulated Whether sign has reached passenger flow threshold value.It is judged as in the case where reaching threshold value in step s 106, return step S105, adjusts prediction scheme Operation is simulated again, and the regulation of prediction scheme is controlled as passenger flow feature lower than threshold value.

It is judged as in the case where not reaching threshold value in step s 106, execute step S107, then judgement implements just The time integral area of passenger flow indicatrix after the prediction scheme operation of simulation.Caused by further contemplating excessive prediction scheme as a result, Adverse effect is assessed for the prediction scheme for enabling to passenger flow feature to be lower than threshold value into secondary optimization.In step S107 In be judged as that the time integral area of passenger flow indicatrix is not up in maximum situation, return step S105 is iteratively adjusted Prediction scheme is operated and is simulated again, so that the time integral area of passenger flow indicatrix is bigger.In addition, executing step every time After S105 adjusts prediction scheme operation, both the assessment result of step S106 and step S107 can be presented to user, be sentenced by user It is disconnected whether to have reached optimal, Rating and Valuation Department 70 can also be operated by prediction scheme and is based on scheduled evaluation criteria, automatically judge whether to reach It has arrived optimal.

It is judged as that time integral area has reached in maximum situation in step s 107, executes step S108, prediction scheme is raw The prediction scheme simulated at this time operation is set as optimal prediction scheme at portion 40 to be operable for executing, which operates and corresponding passenger flow The combination of feature and affair character is compiled to be recorded for one, is stored in the prediction scheme storehouse of website attribute storage unit 50 in association.

That is, in the case where scheme forming portion 40 fails to extract the prediction scheme operation to match for a website, prediction scheme Operation simulation portion 60 creates and simultaneously simulates the multiple and different prediction schemes operations for executing the website, and scheme forming portion 40 is from multiple and different Among prediction scheme operation, the prediction scheme operation that the assessment result of extraction prediction scheme operation Rating and Valuation Department 70 is optimal is operated as optimal prediction scheme, is stood Point attribute storage unit 50 is directed to the website, and optimal prediction scheme is operated to be associated with the combination of corresponding passenger flow feature and affair character Ground storage.

It is extracted in step S104 or step S108 after prediction scheme operation, then executes step S109, held into scene The process of row prediction scheme operation.At this point, passenger flow information acquisition unit 10 keeps obtaining passenger flow letter relevant to website in step s 110 Breath, whether the passenger flow feature KPI of the constantly monitoring website of passenger flow feature judging part 20 has reached threshold value in step S111.If reached Then illustrate that current prediction scheme operation does not adapt to new variation to threshold value, need the analog simulation stage into a new round, Until passenger flow feature KPI lower than threshold value and keeps optimal.Therefore, S105 to step S108 is returned to step, such as can be with Prediction scheme is adjusted by administrative staff to operate, and preset regulated value can also be based on by prediction scheme operation simulation portion 60 and adjusts prediction scheme behaviour Make, thus create prediction scheme to be simulated and operate and simulated and assessed, the process and the prediction scheme illustrated before this create process class Seemingly.In addition, thening follow the steps S112, public transport operation plan if passenger flow feature keeps below threshold value in step S111 Generating means 1A is after happening suddenly large passenger flow event, the execution time of evaluation prediction scheme operation and effect.In addition, the prediction scheme operates The time of execution and effect and update part can be recorded, and are stored in the prediction scheme storehouse of website attribute storage unit 50.

As described above, paying close attention to passenger flow feature KPI during by executing prediction scheme operation at the scene, and if necessary It waits and prediction scheme operation is corrected, whether implementation effect can be constantly evaluated makes passenger flow feature KPI lower than threshold value in time.If because It causes passenger flow feature KPI to reach threshold value again for new event, then needs the launch emergency provision analogue simulation stage, update prediction scheme behaviour Make, continues to start new prediction scheme operation, until passenger flow feature KPI is lower than threshold value.That is, being commented since present embodiment has quantified large passenger flow Price card is quasi-, therefore can clearly inform the passenger flow profile feedback Corrections Division that prediction scheme disposes content, is not completely cured according to scene in the later period Content is set, optimal parameter combination is found by adjusting automatically or repeatedly prediction scheme parameter by administrative staff, is reliably answered with being formed Anxious prediction scheme disposal process.

In addition, in step S104 after being matched to prediction scheme operation in prediction scheme storehouse, it can also be first by prediction scheme operation simulation portion 60 simulate prediction scheme operation, and operate Rating and Valuation Department 70 by prediction scheme and assess the simulation effect that the prediction scheme operates.It is thus obtained that this is pre- The assessment result of case operation can be loaded to user, to show estimating effect user is assisted to judge whether after prediction scheme executes Adopt prediction scheme, its validity can also be judged automatically based on pre-determined standard.In the validity that confirmed prediction scheme operation And then step S109 is executed, the process executed into scene.In addition, if user is corrected prediction scheme operation, it should Amendment content can be also recorded in the prediction scheme storehouse of website attribute storage unit 50 to help prediction scheme storehouse to improve.

Then illustrate processing performed by the public transport operation plan generating means 1A of second embodiment of the present invention That is another concrete example of public transport operation plan generation method.Fig. 7 is the public friendship for indicating second embodiment of the invention The flow chart of the concrete example 2 of public transport operation plan generation method performed by logical operation plan generating means 1A.Above-mentioned In the case where being matched to prediction scheme operation from prediction scheme storehouse in the step S104 of concrete example 1, this concrete example 2 is further directed to from prediction scheme storehouse In be matched to multiple prediction schemes operation the case where handled.Processing and 1 phase of concrete example in the case of other in this concrete example 2 Together, in this description will be omitted.

It, may between passenger flow feature and the combination of affair character in the prediction scheme storehouse that website attribute storage unit 50 is stored There are the ranges of overlapping, therefore specific current passenger flow feature and current event feature may be matched with the visitor of the multiple groups in prediction scheme storehouse The combination of feature and affair character is flowed, so that scheme forming portion 40 extracts multiple and different prediction scheme operations.

In this regard, first in step s 201, prediction scheme operation simulation portion 60 judges whether to be had matched by scheme forming portion 40 more A different prediction scheme operation.It is judged as NO in step s 201, i.e., scheme forming portion 40 is matched to unique pre- from prediction scheme storehouse In the case that case operates, the step S109 of above-mentioned concrete example 1 is executed, is omitted the description.

It is judged as YES in step s 201, i.e., scheme forming portion 40 is matched to multiple and different prediction scheme operations from prediction scheme storehouse In the case where, step S202 is executed, is operated and is simulated for each prediction scheme by prediction scheme operation simulation portion 60, in step S203 The judgement of Rating and Valuation Department 70 is operated by prediction scheme and implements whether the passenger flow feature after each prediction scheme operates has reached passenger flow threshold value, in step Judge whether the time integral area for implementing the passenger flow indicatrix after each prediction scheme operation is maximum in S204, finally in step In S205, among above-mentioned multiple and different prediction scheme operations, by passenger flow feature lower than passenger flow threshold value and passenger flow indicatrix when Between integral area maximum prediction scheme operation be set as optimal prediction scheme operation.Then, the step S109 in above-mentioned concrete example 1 is executed, with Under omit the description.

That is, it is more for a website to be extracted matching of storing in website attribute storage unit 50 in scheme forming portion 40 In the case where a different prediction scheme operation, the simulation of prediction scheme operation simulation portion 60 executes multiple and different prediction scheme operations of the website, Further among multiple and different prediction scheme operations, the assessment result for extracting prediction scheme operation Rating and Valuation Department 70 is optimal in scheme forming portion 40 Prediction scheme operation as optimal prediction scheme operate.The multiple times extracted during operating similarity mode for prediction scheme as a result, It selects prediction scheme to operate, is simulated respectively to extract most effective prediction scheme operation, effectively improve the confidence level of implementation effect.

(third embodiment)

Illustrate third embodiment of the present invention.Present embodiment is in first embodiment or second embodiment On the basis of, it is further introduced into the subregion passenger flow feature of website, and utilize the combination of subregion passenger flow feature and affair character It is operated with prediction scheme.Difference of the present embodiment relative to first embodiment or second embodiment is stressed below, is closed In with first embodiment or the same or similar content of second embodiment, omit the description in the present embodiment.Have below Body illustrates the example improved on the basis of second embodiment, but can also carry out on the basis of first embodiment It improves.

In the present embodiment, each website is divided into multiple regions.For example, the region of website public space is divided, Such as entrance, lift port, the area that waits etc..These regions are emphasis supervision objects.Wherein, can also to each region for example according to Degree of concern further refines, such as divides are as follows: entrance 1, entrance 2 ..., and entrance N, subway concourse, platform 1, platform 2 ..., Platform N, staircase 1, staircase 2 ..., staircase N.The division in region is the most basic unit that prediction scheme executes.

Passenger flow feature, the passenger flow threshold value, event of each region of each region of 50 storage site of website attribute storage unit Feature and the prediction scheme by executing for each region operate the prediction scheme constituted and operate.

Firstly, illustrating subregional passenger flow feature.When defining the passenger flow feature in each region, because of the position in each region Set it is different with function, therefore these features may be it is exclusive, i.e., each region passenger flow feature of interest may be different.Fig. 8 It is the table for indicating an example of subregion passenger flow feature in third embodiment of the invention.As shown in figure 8, website is divided into discrepancy The multiple regions such as mouth, platform, subway concourse, staircase.For example flow region as entrance, passenger flow feature are mainly the volume of the flow of passengers, i.e., The number that unit time passes through, therefore the volume of the flow of passengers is defined as passenger flow feature.Such as platform region relatively-stationary in this way, currently The stranded crowd number feature in region is more important, therefore defines stranded crowd number as passenger flow feature.As an example, region and passenger flow feature Mapping relations may include: entrance-volume of the flow of passengers, platform-number, platform-density, subway concourse-number, subway concourse-density, entirely It stands-number, whole station-residence time, the staircase-volume of the flow of passengers, staircase-density.It has pre-defined and has determined including specific region as a result, The bus of justice, the passenger flow feature of specific region (volume of the flow of passengers, intensity of passenger flow, pedestrian walk average speed, passenger flow residence time etc.) Stream evaluation KPI group (subregion passenger flow feature group).

As shown in figure 8, the passenger flow feature of each region for website, prespecified corresponding passenger flow threshold value.With The passenger flow threshold value of website described in one embodiment is similar, and the threshold value of the passenger flow feature in each region being somebody's turn to do according to the region The maximum value of passenger flow feature is set.

Then, illustrate to operate the prediction scheme operative combination constituted by the prediction scheme executed for each region.Prediction scheme operative combination Different specific regions, different specific current limiters, specific measure degree including public transportation hub station etc..Fig. 9 is table Show the table of an example of subregion prediction scheme operative combination in third embodiment of the invention.In the prediction scheme operative combination, for station Specific operation is implemented for particular device by specific people respectively in each region (entrance, platform, subway concourse, staircase) of point, by This constitutes a whole set of prediction scheme for being directed to the website.

Passenger flow information acquisition unit 10 obtains passenger flow information relevant to each region of website.Passenger flow feature judging part 20 judges The current passenger flow feature in each region of the website reflected by the passenger flow information that passenger flow information acquisition unit 10 obtains, if reach The passenger flow threshold value of the corresponding region for the website that website attribute storage unit 50 is stored.

Current passenger flow feature at least one region for being judged as website by passenger flow feature judging part 20 has reached the station In the case where the passenger flow threshold value of the corresponding region of point, event information acquisition unit 30 obtains event information relevant to the website.

Each region for the website that scheme forming portion 40 is reflected using acquired passenger flow information and event information it is current Passenger flow feature and current event feature match the passenger flow feature and affair character of the website stored in website attribute storage unit 50 Combination, extract the prediction scheme corresponding with the combination of matched passenger flow feature and affair character that stores in website attribute storage unit 50 It operates (prediction scheme operative combination), thus generates public transport operation plan.

As described above, the passenger flow feature of website is refined as to the passenger flow feature of each region, it can be according to each region Position and function use passenger flow feature independent, comprehensively consider affair character and the independent visitor in each region so as to provide Flow the efficient public transport operation plan generation technique of feature.

In addition, as shown in figure 8, weight that can also be different for the passenger flow feature-set of each region of website.It is each The weight of the passenger flow feature in region can for example be set according to the different degree in each region, by the relatively high region of different degree Weight setting obtains higher.In addition, the weight of each region can also be set according to the history feature of the website, such as going through Region in history as the bottleneck of the website, weight setting is obtained higher.In turn, the weight of each region can also be according to by visitor Stream information acquisition unit 10 obtain real-time passenger flow information and change in real time, such as currently become the website bottleneck area Domain makes weight become higher.

The above-mentioned respective weight of the passenger flow characteristic storage of each region of website is directed in website attribute storage unit 50 In the case where, scheme forming portion 40 can use weight corresponding with the passenger flow feature of each region of website, for the website The current passenger flow feature in each region be weighted, utilize the current passenger flow feature and the current event after the weighting of the website The combination of feature matches the passenger flow feature of the website stored in website attribute storage unit 50 and the combination of affair character, extracts Prediction scheme corresponding with the combination of matched passenger flow feature and affair character operation (the prediction scheme behaviour stored in website attribute storage unit 50 It combines).

Moreover, when being operated as described in second embodiment by the prediction scheme that execution website is simulated in prediction scheme operation simulation portion 60, The passenger flow feature of each region of the website in the case where executing prediction scheme operation can also be calculated, and is operated and is commented by prediction scheme Estimate portion 70 and utilize weight corresponding with the passenger flow feature of each region of website, is somebody's turn to do for what is calculated by prediction scheme operation simulation portion 60 The passenger flow feature of each region of website is weighted, the passenger flow feature based on the website after weighting, to the effect of prediction scheme operation Fruit is assessed.

(the 4th embodiment)

Illustrate the 4th embodiment of the invention.Present embodiment first embodiment, second embodiment or On the basis of third embodiment, it is further introduced into the classification thresholds of passenger flow feature.Stress that present embodiment is opposite below In the difference of first embodiment, second embodiment or third embodiment, implement about with first embodiment, second Mode or the same or similar content of third embodiment, omit the description in the present embodiment.Detailed description below is second The example improved on the basis of embodiment, but can also on the basis of first embodiment or third embodiment into Row improves.

In the present embodiment, the passenger flow threshold value for each website that website attribute storage unit 50 is stored includes the first passenger flow Threshold value and the second passenger flow threshold value greater than the first passenger flow threshold value.For example, the first passenger flow threshold value of passenger flow feature is set as the visitor The 60% of the maximum value of feature is flowed, the second passenger flow threshold value of passenger flow feature is set as to the 80% of the maximum value of the passenger flow feature. Wherein, the first passenger flow threshold value is the threshold value as early warning, and the second passenger flow threshold value is to avoid the passenger flow feature in actual operations The threshold value reached.

Illustrate the concrete example (concrete example 3) of the public transport operation plan generation method of present embodiment below.Figure 10 is Indicate the flow chart of the concrete example 3 of the public transport operation plan generation method of four embodiment of the invention.In Figure 10, with Step S302, step S102, S106, S111 in Fig. 6 is substituted in S306, S311, below only to the above-mentioned steps different from Fig. 6 It is described in detail.

In step s 302, passenger flow feature judging part 20 judges whether the current passenger flow feature of website has reached website attribute First passenger flow threshold value of the website that storage unit 50 is stored.The website is reached in the current passenger flow feature for being judged as website In the case where first passenger flow threshold value, event information acquisition unit 30 obtains event information relevant to the website in step s 103, Scheme forming portion 40 extracts prediction scheme operation by matching prediction scheme storehouse in step S104.It is judged as in step s 302 and does not reach In the case where arriving, return continues to execute step S101.

In turn, when the effect that prediction scheme operation Rating and Valuation Department 70 operates prediction scheme in step S306 is assessed, judge by pre- Whether case operation simulation portion 60 is maintained below the second passenger flow of the website for the passenger flow feature for the website that prediction scheme operation calculates Threshold value.The second passenger flow threshold value of the website is maintained below in passenger flow feature and passenger flow feature is formed bent as time goes by Line along the integral area of time shaft it is bigger in the case where, the assessment result that operates to the prediction scheme of prediction scheme operation Rating and Valuation Department 70 is more excellent.

In addition, the current passenger flow feature of website when operating in step S311 for actual implementation prediction scheme is monitored When, passenger flow feature judging part 20 judges whether the actual current passenger flow feature has reached what website attribute storage unit 50 was stored Second passenger flow threshold value of the website.When in the operation of actual implementation prediction scheme, current passenger flow feature has reached the second passenger flow threshold value, Step S105 is executed to adjust current prediction scheme operation.

Illustrate the effect of this concrete example 3 in conjunction with Figure 11.Figure 11 be indicate in four embodiment of the invention passenger flow feature with The time elapse the schematic diagram of formed curve.It is similar with Fig. 5 in the example shown in Figure 11, also use stranded crowd number conduct Passenger flow feature KPI is simultaneously shown with the longitudinal axis, and horizontal axis is the time.Curve C0 expression is detained people in the case where not using any prediction scheme to operate Several change curves.Wherein, in moment T1, stranded crowd number has reached the first passenger flow threshold value (such as 60% of maximum value).In addition, In the case where not using any prediction scheme to operate, in moment T2, stranded crowd number can reach the second passenger flow threshold value (such as maximum value 80%).

In this concrete example 3, when the T1 moment, current passenger flow feature reached the first passenger flow threshold value, launch emergency provision is begun to Matching, and when assessing the operation of optimal prediction scheme, to be lower than and as far as possible close to the second passenger flow threshold value as evaluation criterion.As a result, The optimal prediction scheme operation corresponding to curve C1 can be obtained.

As comparative example, if it is pre- to begin to starting when the T1 moment, current passenger flow feature reached the first passenger flow threshold value Case matching, and when assessing the operation of optimal prediction scheme, to be lower than and as far as possible close to the first passenger flow threshold value as evaluation criterion, then may be used It can obtain the excessive prediction scheme corresponding to curve C2.

As another comparative example, if just starting to open when the T2 moment, current passenger flow feature reached the second passenger flow threshold value Dynamic prediction scheme matching, then prediction scheme, which comes into effect, not can avoid passenger flow feature too late more than threshold value, obtain corresponding to curve C3's Prediction scheme not in time.

It wherein, can also be special for the respective passenger flow in each region for the subregion passenger flow feature in third embodiment More than two threshold values of classification are respectively adopted in sign, to obtain the effect of third embodiment and the 4th embodiment both sides.

Above by reference to Detailed description of the invention a specific embodiment of the invention and concrete example.Wherein, specific reality described above Applying mode and concrete example only is specific example of the invention, for understanding the present invention, rather than is limited the scope of the invention.This Field technical staff can based on the technical idea of the invention to specific embodiment and concrete example carry out various modifications, combination and The reasonable omission of element, thus obtained mode are intended to be included within the scope of the present invention.For example, the respective embodiments described above and specific Example all can be combined with each other, and embodiment made of a combination thereof is also contained in the scope of the present invention.

Claims

1. a kind of public transport operation plan generating means, for generating public transport operation plan characterized by comprising

Website attribute storage unit stores the website attribute information of at least one website as public transport operation object, described Website attribute information include the passenger flow feature of each website, passenger flow threshold value, affair character and with the passenger flow feature and described The corresponding prediction scheme operation of the combination of affair character；

Passenger flow information acquisition unit obtains passenger flow information relevant to website；

Passenger flow feature judging part judges the current visitor for the website that the passenger flow information obtained by the passenger flow information acquisition unit is reflected Flow feature, if reached the passenger flow threshold value for the website that the website attribute storage unit is stored；

Event information acquisition unit is being judged as that the current passenger flow feature of website has reached the website by the passenger flow feature judging part Passenger flow threshold value in the case where, obtain relevant to website event information；And

Scheme forming portion, the current passenger flow feature of the website reflected using acquired passenger flow information and event information and current Affair character matches the passenger flow feature of the website stored in the website attribute storage unit and the combination of affair character, extracts The prediction scheme operation corresponding with the combination of matched passenger flow feature and affair character stored in the website attribute storage unit, Thus generate public transport operation plan.

2. public transport plan generating means as described in claim 1, which is characterized in that further include:

Prediction scheme operation simulation portion, simulation execute the prediction scheme operation of website, calculate the station in the case where executing prediction scheme operation The passenger flow feature of point；And

Prediction scheme operates Rating and Valuation Department, low with passenger flow feature based on the passenger flow feature of the website calculated by prediction scheme operation simulation portion In the passenger flow threshold value and the volume of the flow of passengers is maximized as standard, and the effect of prediction scheme operation is assessed.

3. public transport plan generating means as claimed in claim 2, which is characterized in that

The website is maintained below in the passenger flow feature for operating the website calculated for prediction scheme by prediction scheme operation simulation portion The passenger flow threshold value and the passenger flow the feature formed curve situation bigger along the integral area of time shaft as time goes by Under, the assessment result that prediction scheme operation Rating and Valuation Department operates the prediction scheme is more excellent.

4. public transport plan generating means as claimed in claim 3, which is characterized in that

In the case where the scheme forming portion fails to extract the prediction scheme operation to match for a website,

Prediction scheme operation simulation portion creates and simulates the multiple and different prediction scheme operations for executing the website, the scheme forming portion Among the operation of the plurality of different prediction scheme, the optimal prediction scheme operation work of the assessment result of prediction scheme operation Rating and Valuation Department is extracted For the operation of optimal prediction scheme, the website attribute storage unit is directed to the website, by the optimal prediction scheme operation and the corresponding visitor The combination of stream feature and affair character stores in association.

5. public transport plan generating means as claimed in claim 3, which is characterized in that

It is multiple that for a website matching of storing in the website attribute storage unit is extracted in the scheme forming portion In the case where different prediction scheme operations,

The prediction scheme operation simulation portion simulation execute the website the plurality of different prediction scheme operation, the scheme forming portion into One step extracts the optimal prediction scheme behaviour of the assessment result of prediction scheme operation Rating and Valuation Department among the operation of the plurality of different prediction scheme It is operated as optimal prediction scheme.

6. public transport plan generating means the invention according to any one of claims 2 to 5, which is characterized in that

Each website is divided into multiple regions,

The passenger flow feature, the passenger flow threshold value of each region, event of each region of the website attribute storage unit storage site are special The prediction scheme that sign and the prediction scheme by executing for each region operate the website constituted operates,

The passenger flow information acquisition unit obtains passenger flow information relevant to each region of website,

The passenger flow feature judging part judges each of the website that the passenger flow information obtained by the passenger flow information acquisition unit is reflected The current passenger flow feature in region, if reached the described of the corresponding region for the website that the website attribute storage unit is stored Passenger flow threshold value,

Current passenger flow feature at least one region for being judged as website by the passenger flow feature judging part has reached the website Corresponding region passenger flow threshold value in the case where,

The event information acquisition unit obtains event information relevant to the website, and the scheme forming portion utilizes acquired visitor The current passenger flow feature and current event feature in each region for the website that stream information and event information are reflected, match the website The passenger flow feature of the website stored in attribute storage unit and the combination of affair character are extracted and are deposited in the website attribute storage unit The prediction scheme operation corresponding with the combination of matched passenger flow feature and affair character of storage, thus generates public transport operation meter It draws.

7. public transport plan generating means as claimed in claim 6, which is characterized in that

The website attribute storage unit is directed to the respective weight of the respective passenger flow characteristic storage of multiple regions of website,

The scheme forming portion utilizes weight corresponding with the passenger flow feature of each region of website, for each area of the website The current passenger flow feature in domain is weighted, and utilizes the current passenger flow feature and the current event feature after the weighting of the website Combination, matches the passenger flow feature of the website stored in the website attribute storage unit and the combination of affair character, described in extraction The prediction scheme operation corresponding with the combination of matched passenger flow feature and affair character stored in website attribute storage unit,

The prediction scheme operation of prediction scheme operation simulation portion simulation execution website, calculates being somebody's turn to do in the case where executing prediction scheme operation The passenger flow feature of each region of website,

Prediction scheme operation Rating and Valuation Department utilizes weight corresponding with the passenger flow feature of each region of website, for by the prediction scheme The passenger flow feature of each region for the website that operation simulation portion calculates is weighted, and the passenger flow based on the website after weighting is special Sign assesses the effect of prediction scheme operation.

8. public transport plan generating means as claimed in claim 3, which is characterized in that

The passenger flow threshold value for each website that the website attribute storage unit is stored includes the first passenger flow threshold value and is greater than described the Second passenger flow threshold value of one passenger flow threshold value,

The passenger flow feature judging part judges whether the current passenger flow feature of website has reached the website attribute storage unit and deposited The first passenger flow threshold value of the website of storage, is being judged as that the current passenger flow feature of website reaches by the passenger flow feature judging part In the case where the first passenger flow threshold value for having arrived the website, the event information acquisition unit obtains event letter relevant to the website Breath, the scheme forming portion extract prediction scheme operation,

When the effect that prediction scheme operation Rating and Valuation Department operates prediction scheme is assessed, it is directed to by prediction scheme operation simulation portion The passenger flow feature for the website that prediction scheme operation calculates is maintained below the second passenger flow threshold value of the website and the passenger flow feature As time goes by formed curve along the integral area of time shaft it is bigger in the case where, prediction scheme operation Rating and Valuation Department is pre- to this The assessment result of case operation is more excellent.

9. a kind of public transport operation plan generation method, for generating public transport operation plan, which is characterized in that

The website attribute information of at least one website as public transport operation object is previously stored, the website attribute letter Breath include the passenger flow feature of each website, passenger flow threshold value, affair character and with the passenger flow feature and the affair character Combine corresponding prediction scheme operation；

The public transport operation plan generation method includes:

Passenger flow information obtaining step obtains passenger flow information relevant to website；

Passenger flow feature judgment step judges working as the website that the passenger flow information obtained by the passenger flow information obtaining step is reflected Preceding passenger flow feature, if reached the passenger flow threshold value of the pre-stored website；

Event information obtaining step is being judged as that the current passenger flow feature of website has reached this by the passenger flow feature judgment step In the case where the passenger flow threshold value of website, event information relevant to the website is obtained；And

Scheme forming step, the current passenger flow feature of the website reflected using acquired passenger flow information and event information and is worked as Preceding affair character matches the passenger flow feature of the pre-stored website and the combination of affair character, extract it is pre-stored with The corresponding prediction scheme operation of the combination of the passenger flow feature and affair character matched, thus generates public transport operation plan.

10. a kind of public transport operation plan generates system, for generating public transport operation plan, which is characterized in that

The public transport operation plan generate system include passenger flow condition monitoring device, communication network and claim 1 to Public transport operation plan generating means described in any one of 8,

The passenger flow condition monitoring device monitors the passenger flow shape of at least one website as public transport operation object in real time Condition, and generate passenger flow information relevant to website；

The passenger flow information acquisition unit of the public transport operation plan generating means is via the communication network, from the visitor It flows condition monitoring device and obtains the passenger flow information relevant to website.