CN105377664A - Traffic demand control device - Google Patents
Traffic demand control device Download PDFInfo
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- CN105377664A CN105377664A CN201380077376.6A CN201380077376A CN105377664A CN 105377664 A CN105377664 A CN 105377664A CN 201380077376 A CN201380077376 A CN 201380077376A CN 105377664 A CN105377664 A CN 105377664A
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- 238000012545 processing Methods 0.000 claims abstract description 25
- 238000003860 storage Methods 0.000 claims abstract description 9
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- 230000006870 function Effects 0.000 description 31
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Classifications
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/10—Operations, e.g. scheduling or time tables
- B61L27/16—Trackside optimisation of vehicle or train operation
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B61—RAILWAYS
- B61L—GUIDING RAILWAY TRAFFIC; ENSURING THE SAFETY OF RAILWAY TRAFFIC
- B61L27/00—Central railway traffic control systems; Trackside control; Communication systems specially adapted therefor
- B61L27/10—Operations, e.g. scheduling or time tables
- B61L27/12—Preparing schedules
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- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
- Train Traffic Observation, Control, And Security (AREA)
Abstract
The purpose of the present invention is to provide control information so that each traffic means is used at a desired usage rate in a traffic network in which multiple traffic means exist. In order to fulfill said purpose, the present invention has: a storage unit for storing traffic operation state data indicating past travel states, traveler flow history showing the usage history of the traffic means by travelers, and control variables functioning as the determination criterion when a traveler selects a traffic means; and a computation processing unit for obtaining, from the aforementioned traffic operation state data and the aforementioned traveler flow history, the probability of use of each traffic means by a traveler in association with the departure location and destination. The computation processing unit is characterized by obtaining a control variable in which the probability of use of each traffic means in a designated travel state matches a predetermined value, and by providing said control variable to a system that manages traffic.
Description
Technical field
The present invention relates to a kind of traffic and need control setup.
Background technology
As the background technology of the art, there is Japanese Unexamined Patent Publication 2009-61984 publication (patent documentation 1).Be recited as in this publication: the passenger R occurred at object station and A station is in the mobile route generation outage of standing to predetermined B, " wait ", (2) of selecting (1) directly to wait for that operation restarts selects any one action walked around in " roundabout " of the circuitous path in outage interval, but determines this selection action according to Logit model and path Choice Model.That is, based on the effective Ua for " roundabout " and the effective Uu for " wait ", calculate roundabout select probability Pa, select " roundabout " or " wait " according to the select probability Pa calculated.
In addition, there is Japanese Unexamined Patent Publication 2010-18221 publication (patent documentation 2).Be recited as in this publication: based on the transmission failure supposed, do not carry out running not generate with arranging and carry out revised simple forecast running chart to planned train graph and be used as tentative running arrangement case, carry out the passenger flow dynamic simulated for this tentative running arrangement case.As the result of passenger flow dynamic simulated, the evaluation of obtain flowing according to the passenger such as action actual achievement of each passenger when tentative running arrangement case train operation presumption result and tentative running arrangement case.Then, based on analog result, the new tentative running arrangement case in the deficiency place that have modified tentative running arrangement case is generated.Afterwards, repeat for new tentative running arrangement case passenger flow dynamic simulated and have modified the generation of new tentative running arrangement case in deficiency place of tentative running arrangement case.Then, the tentative running arrangement case exporting evaluation in the tentative running arrangement case repeating to generate " good " is used as running arrangement case.
Prior art document
Patent documentation
Patent documentation 1: Japanese Unexamined Patent Publication 2009-61984 publication
Patent documentation 2: Japanese Unexamined Patent Publication 2010-18221 publication
Summary of the invention
The problem that invention will solve
In above-mentioned patent documentation 1, calculating the effective Ua for " roundabout " and the effective Uu for " wait " according to whole required time and the wait time to running restarts the time, simulating the roundabout action of passenger by calculating roundabout select probability Pa.On the other hand, in this known example, do not provide the unit setting whole required time and the wait time to running restarts the time in order to make select probability Pa become predetermined value.Therefore, when running chart is chaotic, uncontrollable railway is to make " wait " passenger and " roundabout " passenger dispersion, and what make railway mixes dispersion.
In addition, in above-mentioned patent documentation 2, railway passenger flowing during simulated failure, generates and makes the invalid of passenger be minimum running chart.But, in this known example, although can generate the invalid of the passenger making have selected this path is minimum running chart, be difficult to the flowing of control passenger to make the load optimization of the whole railway network.
Therefore, the object of the present invention is to provide a kind of mixing exist in the traffic networks of multiple means of conveyance, each means of conveyance becomes the desired control information utilizing probability.
For solving the method for problem
In order to solve above-mentioned problem, such as, adopt the structure recorded in claim.
The application comprises the means of the above-mentioned problem of multiple solution, exemplify a wherein example, have: storage part, its store the operation conditions represented in the past health data, represent that the passenger of resume that utilizes of the means of conveyance of passenger is flowed resume and become the control variable of judgement material when passenger selects means of conveyance; And arithmetic processing section, it to flow resume according to the described health data that stores in described storage part and described passenger, be mapped with departure place or destination and obtain passenger probability is utilized to each means of conveyance, the probability that utilizes of each means of conveyance that described arithmetic processing section is obtained under the operation conditions of specifying becomes the described control variable of predetermined value, and provides this control variable to the system of control the traffic.
Invention effect
The present invention can provide a kind of and exist in the traffic networks of multiple means of conveyance in mixing, and each means of conveyance becomes the control information of desired degree of utilization.
According to this control information, the control such as can carrying out the vehicle can not make load concentrate on vehicle to make passenger be distributed to multiple means of conveyance or route, therefore can realize best passenger's flowing as the whole city traffic comprising railway or bus.
By the explanation of following embodiment, problem other than the above, structure and effect are become definitely.
Accompanying drawing explanation
Fig. 1 is the constructional drawing that traffic needs the 1st embodiment of control setup.
Fig. 2 is the example of route data table.
Fig. 3 is the example of location information data table.
Fig. 4 is the figure of relation of declare area and route information, location information.
Fig. 5 is the example of running chart information data table.
Fig. 6 is the example of operating troubles, accident example data sheet.
Fig. 7 is that passenger is flowed the example of history data table.
Fig. 8 is that passenger is flowed the example of processing sequence of presumption unit.
Fig. 9 is that passenger is flowed the example of the input information for calculating valid function parameter in presumption unit.
Figure 10 is that passenger is flowed the example of Output rusults of presumption unit.
Figure 11 is the example that traffic needs the processing sequence of adjustment part.
Figure 12 is the example calculating routing probability that traffic needs control part.
Figure 13 is the figure representing the visual example that the needs of operational plan generating unit control.
Figure 14 is the constructional drawing that traffic needs the 2nd embodiment of control setup.
Figure 15 is that traffic needs the passenger that is stored in of the 2nd embodiment of control setup to flow the example of the information in history data storehouse 110.
Figure 16 is the example of the processing sequence of set of paths generating unit.
Figure 17 is the figure of the example representing the original set of paths before according to the set of paths generating process of detection information generation.
Figure 18 is the figure of the example of set of paths after representing set of paths generating process.
Detailed description of the invention
Below, accompanying drawing is used to be described embodiment.
Embodiment 1
In the present embodiment, illustrate that the traffic of the control carrying out traffic needs needs control setup and carries out operational plan generation or provide the example of operation management apparatus of information to user.
Fig. 1 represents that the traffic of the present embodiment needs the figure of the example of the structure of control setup.Traffic needs control setup 100 to possess the storage part 130 storing various program and data bank, the arithmetic processing section 120 of carrying out various computing.In storage part 130, store route data storehouse 108 and operating troubles/accident information data bank 109 as operation information 101, store passenger as flowing information 102 and to flow history data storehouse 110.At this, route data storehouse 108 is made up of route data table (Fig. 2) described later, location information data table (Fig. 3), running chart information data table (Fig. 5).In addition, in arithmetic processing section 120, as the software that self performs, the flow traffic of probability that utilizes of presumption unit 103 and the passenger that adjusts each means of conveyance of the passenger of flowing with presumption passenger needs adjustment part 104.
In addition, traffic needs control setup 100 to possess the input media 150 be made up of keyboard and mouse etc. and the output unit 140 be made up of telltale etc.
In addition, traffic need control setup 100 and carry out the operational plan of railway or bus, the operation management apparatus 160 of operation management is connected.The operational plan generating unit 105 that operation management apparatus 160 has the operational plan generating railway or bus, the operation management portion 107 information providing unit 106 of information being provided to user, carrying out operation management according to the operational plan of operational plan generating unit 105 generation.
In addition, describe arithmetic processing section 120 in the present embodiment and be such as made up of CPU, the program performed as arithmetic processing section 120 has various software, but also can be realized by hardware as carried out design etc. by integrated circuit each function or processing example.In addition, describe and operation management apparatus 160 and traffic are needed the independent situation about arranging of control setup 100, but also can perform by arithmetic processing section 120 function that operation management apparatus 160 has, or multiple process that arithmetic processing section 120 and operation management apparatus 160 perform are realized by different hardware by each function.
Below, the action that traffic needs each device in control setup 100 is described in detail.
Fig. 2 is the figure of the example representing the route data table stored in the route data storehouse 108 that has in operation information management department 101.The data be made up of each key element that Record ID 201, departure place 202, place of arrival 203, route name 204, distance 205, expense 206, standard required time 207 are such are stored in route data table 200.Record ID 201 is to representing the ID that each record of route data uniquely distributes.Departure place 202 and place of arrival 203 are the departure place of the vehicle of each route data and the combination of place of arrival.About place, be equivalent to train station when the vehicle are railway, for bus time be equivalent to bus stop.Route name 204 is titles of departure place 202 and the route belonging to place of arrival 203.Distance 205, expense 206, standard required time 207 are the data representing distance between departure place 202 and place of arrival 203, expense, standard required time.
Fig. 3 is the figure of the example representing the location information data table stored in the route data storehouse 108 that has at operation information 101.The data be made up of each key element that Record ID 301, location name 302, address 303, coordinate 304, region ID305 are such are stored in location information data table 300.Record ID 301 is to representing the ID that each record of location information data uniquely distributes.Location name 302 is the information corresponding with departure place 202 or place of arrival 203.Address 303 is the address informations in place 302.Coordinate 304 is the latitude, longitude information at location name 302 place.Region ID305 is the ID for identifying the region belonging to this place.About region ID, the Region dividing in the whole city that the city traffic represented by pass course according to the position in place covers is predetermined scope, and distributes unique ID.Division methods can be considered to carry out according to the location information in place the method that divides with the rectangle of pre-sizing.Or, also can divide according to address unit.Multiple location information is generally included in a region.Fig. 4 is the figure of an example of relation describing region ID and route information, location information.The relation of region ID and route information, location information is such as following such relation.Exist with the region, departure place 1 (401) of rectangle performance and region, destination 2 (402), in region, departure place 1, there is A station and C station as place, in region, destination 2, there is B station and D station.Between A station and B station, pass course X connects, and between C station and D station, pass course Y connects.About place and route, railway or bus can be considered as public transport.Fig. 5 represents the figure of the example of the running chart information data stored in the route data storehouse 108 had at operation information 101.The operation information data of running chart information data 500 train car or bus and running chart information.Fig. 5 is the figure of the example representing running chart information.In running chart information 500, transverse axis represents the moment 501, and the longitudinal axis represents the position 502 of train station or bus stop, and line 503 represents the operation of 1 train or bus.Thereby, it is possible to when show which train, bus at which station.In addition, the information of the operation spacing of each route is also stored.
Fig. 6 is the figure of the example representing the operating troubles/accident example data sheet stored in operating troubles/accident example data bank 109 of having at operation information 101.Operating troubles/accident example the data occurred in the past are stored in operating troubles/accident example data sheet 600; store by Record ID 601, the date 602, there is the moment 603, run reopen predetermined instant 604, route 605 occurs, place 606 occur, data that each key element that occurrence cause 607, normal operation moment 608 are such is formed.Record ID 601 is the ID uniquely distributed to each operating troubles/accident example data.Date 602 is dates that operating troubles or accident occur.It is the moment that operating troubles/accident occurs that moment 603 occurs.Running and reopening predetermined instant 604 is the moment restarting to run relevant prediction owing to there occurs operating troubles/accident for recording with the vehicle.There is the title that route 605 is the routes that there occurs fault/accident.It is the place that there occurs fault/accident that place 606 occurs.Occurrence cause 607 is reasons that operating troubles/accident occurs.The normal operation moment 608 is that the vehicle have recovered the moment of normal operation.The normal operation moment 608 reopens the difference of predetermined instant 604 as described below with operation.Running and reopening predetermined instant is after there occurs accident, predicts the moment when can restarting to run at once by the handler of management operating according to bygone example and field conditions.On the other hand, the normal operation moment 608 is the vehicle actual moment of recovering normal operation.If there occurs accident or fault at current time, notice to run to passenger and reopen predetermined instant.
Fig. 7 represents that the flow passenger that stores in history data storehouse 110 of the passenger had at flowing information 102 is flowed the figure of example of history data table.Store by ID701, admission moment 702, moment 703 of appearing on the scene in passenger flows history data table 700, enter station 704, go out the data that the so each key element in station 705 forms.Such as, as the vehicle when utilizing railway, according to have passed the IC-card ticket of automatic ticket checker or the information of magnetic ticket that arrange in the ticket entrance at each station, be created on the admission appearance history data recorded in each record.ID701 is the ID going out field information for being identified in the admission stored in each record, gives ID701 to each stroke (be 1 stroke from entering route facility to leaving route facility).The admission moment 702 enters the moment into station 704.The appearance moment 703 is the moment leaving out station 705.Route 706 is used to be routes that passenger uses.In addition, when the vehicle are bus etc., replace the admission moment 702, in the moment 703 of appearing on the scene, enter station 704, go out station 705, moment, the moment of getting off, pick-up point, the information such as place of getting off by bus can be stored respectively.
In the present embodiment, there is provided each data sheet stored in a kind of history data storehouse 110 of the route data storehouse 108 stored in operation information 101 and operating troubles/accident example information database 109, the passenger that stores in flowing information 102 being flowed as input information, the device that the traffic controlling the vehicle needs.About the control that traffic needs, specifically process according to following order.
The process of the data fusion presumption passenger flowing according to the past is carried out in passenger flows presumption unit 103.Traffic needs adjustment part 104 to carry out the process of the select probability calculating the vehicle according to the passenger's flowing information deduced.Then, according to the selection rate calculated, determine to carry out to the select probability adjustment of each route when there occurs operating troubles the method that needs to control.In operational plan generating unit 105, the control information that needs according to determining decides the operational plan of each vehicle.In information providing unit 106, the user to the vehicle provides determined needs control information.In operation management portion 107, the operation of operational plan to the vehicle such as train, bus according to determining manages.
Below, each process is described.
The process of the data fusion presumption passenger flowing according to the past is carried out in passenger flows presumption unit 103.The presumption of passenger's flowing of the present embodiment is carried out by the Route Choice Model constructed based on Discrete Choice Model.The so-called Route Choice Model based on Discrete Choice Model is the valid function defining route, and selects the model of establishment premised on the route large based on the select probability of the effective value calculated by this valid function by passenger.Such as, when considering from certain region, departure place i to the j movement of region, destination, mobile means has these 2 means of route X and route Y.When the effective value of route X (Y) is set to UX (Y), the select probability PX (Y) of passenger selection schemer X is such as formula shown in (1), (2).
PX＝Pr[UX＞UY]…(1)
PY＝1-PX…(2)
Representatively Discrete Choice Model, has Logit model (Logitmodel), shown in (3).
PX＝exp(UX)/{exp(UX)+exp(UY)}…(3)
Therefore, if change the value of valid function, then select probability also changes correspondingly.
Below, the presumption example flowed for passenger with this Logit model is in the present embodiment described.Fig. 8 represents that passenger is flowed the diagram of circuit of processing sequence of presumption unit 103.
Passenger flows presumption unit 103 according to the bygone example stored in flowing history data storehouse 110 route data storehouse 108, operating troubles/accident information data bank 109, passenger, calculates the parameter of the select probability of the means of conveyance for obtaining passenger.Each accumulation data to a certain degree, such as, carry out this computing weekly.
First, valid function is determined in step 801.In Logit model, represent valid function with the linear formula that formula (4) is such.
U
m＝Σ
kα
kX
km+β…(4)
In formula (4), Um is the effective value of path m, and being a kth explanatory variable, is parameter, is constant term.
After decision explanatory variable, the valid function obtained by carrying out parameter estimation is used to carry out the effective value Um of calculating path m.Therefore, what carry out the process of selection explanatory variable according to the information stored in the route data storehouse 108 stored in operation information management department 101 and operating troubles/accident example information database 109 is step 801.That is, in step 801, as explanatory variable, such as, determine that use has been sampled " expense " and " required time ", " number of run hourly ", the valid function of which project in " the anticipation time to running reopening ".About which project of employing, can predetermine and also can be inputted by user when each calculating.
The expense 206 that can store from route data table 200 obtains the information relevant to " expense ".The information relevant with " required time " can be obtained to the difference in moment 703 of appearing on the scene from standard required time 207 or according to the admission moment 702 stored history data storehouse 110 of flowing passenger.Can obtain from running chart information data table " number of run hourly ".The information relevant with " time to running and reopening " can be obtained with the difference that the moment 603 occurs according to the normal operation moment 608 stored in operating troubles/accident example data sheet 600.
In step 802, with reference to the operating troubles/accident example information database 109 stored in operation information management department 101, to obtain with departure place be region i, destination is operating troubles/accident example information that region j is associated.About the adquisitiones of operating troubles/accident example information, carry out according to following order.First, namely there is the information of route 605 according to the information stored in operating troubles/accident example data sheet 600, obtain the information that stores in route data table 200 and departure place 202, place of arrival 203.Then, according to acquired departure place 202, information that place of arrival 203 is relevant, with reference to the region ID305 in location information data table 300, the region ID extracting departure place is i, the region ID of destination is the information of the departure place 202 of j, place of arrival 203.
In step 803, according to the information of the departure place 202 of extracting in step 802, place of arrival 203, the region ID extracting departure place from passenger flows history data storehouse 110 is i, the region ID of destination is the flowing record information of j.
In step 804, route selection result data is generated according to the information extracted in step 802 and 803.Fig. 9 represents route selection result data 900.Route selection result data 900 stores the value of each explanatory variable when selecting each route and the data of the route selection result of each passenger.
Route selection result data 900 by ID901, expense 902, required time 903, number of run hourly 904, to run reopen time 905, selection result 907 data form.About these data acquisitions, there is the quantity of the route that passenger utilizes between region, departure place i and region, destination j.In addition, assuming that each passenger have selected any route, this information is stored in passenger and flows in history data storehouse 110.On the other hand, the information from route data storehouse 109 with reference to unselected route.
ID901 is the ID701 stored in passenger flows history data storehouse 110.Expense 902 is expenses of each route, corresponding with the expense 206 be stored in route data table 200.Required time 405 is region ID of departure place is i, the region ID of destination is the required time from departure place 202 to place of arrival 203 of j, if the route selected, then the admission moment 702 of flowing in history data storehouse 110 according to passenger calculated with the moment 703 of appearing on the scene.On the other hand, if non-selected path, then with reference to the data of the standard required time 207 in route data table 200.Number of run 904 per hour is the number of run hourly in each path, carries out reference from running chart information data table 400.Can obtain with the difference that the moment 603 occurs the time 407 till reopening of running according to the normal operation moment 608 stored in operating troubles/accident example data sheet 600.When the path for there is not operating troubles, store 0 value.Selection result 906 represents that each passenger have selected the data of which route.Such as, when passenger have selected route 1, in route 1 selection result, store 1, store the value of 0 in addition.
In step 805, the value of valid function parameter is calculated.Specifically, calculate in such a way.Assuming that the selection result of the route n of the passenger i stored in selection result 906.So select probability is such as formula shown in (5) while realizing for the selection result of whole passenger.
Formula (5) becomes the function of valid function parameter, makes L be maximum this function L, can calculate valid function parameter thus as likelihood function by maximum likelihood estimate.
In step 806, determine whether that the calculating of valid function parameter has been carried out in the combination for all regions, departure place and region, destination.If there is the combination not carrying out region, departure place and the region, destination calculated, then return step 802 double counting.On the other hand, if terminate for the calculating of all combinations, then terminate passenger and to flow the process of presumption unit.The process of the presumption unit 103 that can be flowed by this passenger, obtains the parameter of the calculated with actual values effective value Um for flowing according to the passenger in past.
Figure 10 represents that passenger is flowed the figure of Output rusults of presumption unit 103.Output rusults 1000 stores region, departure place ID1001, region, destination ID1002, parameter 1003 to the valid function that each region ID1001 that sets out, region, destination ID1002 calculate.
Then, illustrate that traffic needs the action of adjustment part 104.
Traffic needs adjustment part 104 according to the parameter of the valid function calculated in the presumption unit 103 that flows passenger, for the departure place region relevant to the route that there occurs operating troubles or accident to the value of the combination calculation specifications variable in region, destination with the value making the select probability in each path become hope.Then, by exporting the value of the explanatory variable calculated to operational plan generating unit 105, determine the control method of the means of conveyance in path when there occurs operating troubles.
Below, the action that traffic needs adjustment part 104 is described in detail.
Figure 11 represents that traffic needs the diagram of circuit of the processing sequence of adjustment part 104.
In step 1101, operating troubles/accident information that input produces.When creating operating troubles/accident information, via the chaufeur transmission of information of communication unit from the vehicle.Be date 602 operating troubles/accident example data sheet 600 from the information of chaufeur transmission, the moment 603 occurs, route 605 occurs, place 606, occurrence cause 607 occur.
In step 1102, the region, departure place be associated with the path/place that there occurs operating troubles/accident and region, destination is extracted.Specifically, the region, departure place and the region, destination that there occurs the path process of operating troubles/accident is first extracted.Then, from the set of the combination in extracted region, departure place and region, destination, extract the place that there occurs operating troubles/accident be between region, departure place and region, destination, or the combination in the region, departure place be in region and region, destination.
In step 1103, the select probability searched for for the route segment in the region, departure place of extracting in step 1102 and region, destination is the explanatory variable of predetermined value, generates the control information of the select probability for adjusting the route in each path.Specifically, carry out in the following manner.From passenger flow presumption unit 103 Output rusults 1000 select the parameter 1003 of the valid function relevant to extracted region, departure place and region, destination.Then, selected parameter is updated to formula (4), determines the valid function of Route Choice Model.Then, by the value of the explanatory variable in adjustment valid function, the select probability shown in calculating formula (3).
Figure 12 illustrates the figure of the method for adjustment of explanatory variable.In fig. 12, as the example of explanatory variable, illustrate the change of the select probability of route X and Y when the expense of route X is changed.Such as, the adjustment needed is carried out as follows.Assuming that the value of the expense of usual route X and the select probability of route X and Y that operating troubles/accident does not occur is the point shown in 1201.When from then on there occurs operating troubles, becoming predetermined select probability from the search of this value, such as, becoming the value of the expense of the scope shown in 1102.To other explanatory variable, such as " required time ", " number of run hourly ", " time to running and reopening " also carry out same process, and the value of search instructions variable is to become predetermined select probability." time to running and reopening " there occurs the stage of operating troubles for not determine, therefore specifies guess value according to the fault case in past.Can by select probability be realized searching method as the optimization method of the generally known band restriction condition of object function.Or, also can be replaced by the select probability that transport administration person setting themselves is predetermined and calculate select probability by optimization method.
In step 1104, send to operational plan generating unit the control information that the explanatory variable information determined is used as means of conveyance.
In operational plan generating unit 105, with the operational plan needing the control information of means of conveyance that generates in adjustment part 104 to generate the means of conveyance in each path for input information in traffic.Specifically, using give as control information " required time ", " number of run hourly ", " to run reopen time " for restriction condition, use known running chart generating algorithm method to generate running chart.
Have in operational plan generating unit 105 for making the visual unit of the select probability of the vehicle.Such as, as shown in figure 13, consider the change 1307,1308 that the select probability of front and back occurs for urban traffic network 1301 fault shown in the place 1302 of et out of order and the departure place 1305 be associated with route 1303, route 1304 and destination 1306, each route, or need the user of control setup to show via output unit 140 to traffic.
Information providing unit 106 notices the device of control information.Specifically, the portable terminal device held to the informing or passenger that are arranged on Railway station or bus stop sends the control information such as " required time ", " number of run hourly ", " time to running and reopening ", selects means of conveyance for urging passenger.
Operation management portion 107 is in order to according to operational plan running train or bus, and to the device that the various control setups such as signalling apparatus control.Operation management can be carried out by known technology.
Embodiment 2
In the present embodiment, not only control to be described to the needs of the public transport such as train, bus, also need the example of control setup to be described to the traffic can carrying out the control of the arteries of communication of general vehicle traveling.
Figure 14 represents that the traffic of embodiment 2 needs the example of the constructional drawing of control setup 1400.
The structure of the same-sign shown in Fig. 1 in control setup 100, that illustrate needed for the traffic being endowed Fig. 1 and there is the part of identical function, omitting the description.
Need in control setup 1400 in the traffic of embodiment 2, except the structure of embodiment 1, also in operation information 101, possess transportation database 1401, and possess set of paths generating unit 1402.By adding this structure, that can also carry out the arteries of communication of general vehicle traveling needs control.
Below, control setup 1400 is needed to be described to traffic.
The information that the such road category etc. of node ID, road section ID, road width, national highway/county road forms road-map is stored in transportation database 1401.
2nd embodiment of operating troubles/accident example data sheet 600 and the difference of the 1st embodiment as described below.About failure accident example during arteries of communication, out of service relative to the vehicle, when for arteries of communication, can whether be closed to traffic or whether become track restriction by road and show.Therefore, the operation of the 1st embodiment is reopened predetermined instant 304, route 305 is occurred, the information that stores in the normal operation moment 308 is respectively when the 2nd embodiment that normal pass is reopened predetermined instant, road is occurred, the current normalisation moment.
In the 2nd embodiment, the passenger had in flowing information management department 102 flow the information that stores in history data storehouse 110 also store from the vehicle collection travelled at road to the flowing information based on detection data.
Figure 15 represent to add in the 2nd embodiment store, the flow passenger that stores in history data storehouse 110 of the passenger that has in flowing information management department 102 flows the example of history data table.Passenger flow history data table 1500 by the vehicle ID1501 for identifying the vehicle that have collected detection data, to sail into for the starting point node ID 1502 and peripheral node ID1503, vehicle identifying the road of the road section that have collected detection data this road section namely moment flows into the moment 1504, vehicle was consisted of the hourage 1505 during road section and operating range 1506.
Set of paths generating unit 1402 is devices of the set in the path generated the road from certain region, departure place to certain region, destination.When namely the situation of the 2nd embodiment considers arteries of communication, from certain region, departure place to the path in certain region, destination compared with only considering the situation of public transport, can think to there is much different paths.When being set to set of paths paths slightly different for driving path is considered as different paths respectively, the detection data that each path travels tails off, and cannot generate the Discrete Choice Model that reliability is high.Therefore, in set of paths generating unit 1402, carry out the set in the multiple different path from certain region, departure place to certain region, destination, the path regarding same path as being considered as the process in a path, carrying out thus for generating the process that can become from region, departure place to the set of paths of the options in certain region, destination.
Below, the action of set of paths generating unit 1302 is described.
Figure 16 is the diagram of circuit of the action representing set of paths generating unit 1302.
In step 1601, be extracted in passenger and flow in the detection data that stores in history data table 1501, relevant with all vehicles flowing out inflow region j afterwards from region i detection information.The establishing method in region is identical with the situation of embodiment 1.
Figure 17 represents the figure of the detection information data relevant to all vehicles flowing out rear inflow region j from region i.Represent as 1701 form a pair starting point node ID 1502 of detection information and the set of peripheral node ID1503 the road section that shows.Some paths 1702 are showed by the set of road section 1701.In addition, multiple vehicle uses identical road sometimes, therefore thinks that the road section forming other paths repeats in a path.
In step 1602, in the data that step 1601 extracts, be conceived to certain vehicle, extract the road section string from region i to region j.
In step 1603, determine whether to there is the path logged in as set of paths.If exist, then advance to next step 1604.On the other hand, if do not exist, then advance to step 1606 described later.
In step 1604, this section string and all paths that logged in are compared and calculate recurrence rate.So-called recurrence rate refers to the ratio that road section repeats when being compared each other by section string.When this ratio is large, 2 section strings mean that the road section of repetition is many, and both section strings are similar.
In step 1605, judge that recurrence rate is whether below threshold value.Then, if for all paths below threshold value, be then judged as not yet logging in similar path in set of paths.Then, advance to step 1606, the toll calculating this path is used and required time.Decide toll according to the utilization emulation of road charge system to use.Such as, the toll that setting and operating range are proportional is considered.In addition, required time is calculated according to the standard required time for each road section logged in transportation database.Or, also can use carrying out the accumulative result obtained the hourage of road section string.
In step 1607, using this section string as the purpose of the i of region and with region j for one of path during departure place signs in in set of paths.
On the other hand, in step 1605, the path that recurrence rate is more than threshold value if exist in set of paths, be then judged to be that the path represented by the string of this section has been present in set of paths.Then, turning back to step 1602, carrying out same process for going here and there with the section that next vehicle is correlated with.
In step 1608, judge whether the driving trace process for all vehicles terminates.Then, if do not terminate for all vehicle process, step 1602 is turned back to, reprocessing.
In step 1609, judge whether the combined treatment for region, all departure places/region, destination terminates.If do not terminate, turn back to step 1601, reprocessing.
Figure 18 represents the example in the path stored in the set of paths after the process of set of paths generating unit.Illustrate the example being judged to have 2 follow region to the path in region, destination in the present embodiment.In addition, about the path stored, the section string comprising the road section of multiple repetition is considered as identical path.
Except the set of paths generating process shown in the present embodiment, such as " Screening method To I Ru go sightseeing all Swam Le ー ト gather extract (extraction based on the sightseeing Knight set of sieve method) out " (building Meter draw learn Talk drill collection (building planology lecture collect) No22 (1), in October, 1999), also can adopt set out region and destination region memory arbitrary node between repeat implementation path search, using the processing method of its result as potential path set.
Flow presumption unit 105 and the passenger in embodiment 1 of passenger in the present embodiment is flowed action different as described below of presumption unit 105.The explanatory variable operating costs of valid function, required time, time to current reopening.In addition, utilize in the decision of route in selection result data genaration, be set to the route in the maximum path of the recurrence rate that employs detection data.
The present embodiment need the action of adjustment part 106 identical with the situation of embodiment 1.But the explanatory variable of valid function is different from the situation of embodiment 1, operating costs, required time, time to current reopening.
Carry out being called as in operational plan generating unit 105 expense, required time, time to current reopening such, the generating process of information that provides to vehicle.
Like this, in the present embodiment, not only consider bus and railway, the control of the arteries of communication also travelled by general vehicle is also considered as the options of means of conveyance, can carry out controlling thus load can not be made to concentrate to vehicle.
In addition, the present invention is not limited to the above embodiments, can also comprise various variation.Such as, the structure combining embodiment 1 and embodiment 2 can also be considered.In addition, the present invention not only carries out action when operating troubles occurs, and can also carry out action when usually running in order to the load of diverse lane.
In addition, the above embodiments are the detailed descriptions carried out for the ease of understanding the present invention, might not possess all structures of explanation.In addition, a part for the structure of certain embodiment can be replaced as the structure of other embodiments, or, the structure of other embodiments also can be added to the structure of certain embodiment.In addition, can to a part for the structure of each embodiment carry out other structures add/delete/displacement.
In addition, about above-mentioned each structure, function, handling part, processing unit etc., wherein part or all such as can by with IC design etc. with hardware implementing.In addition, about above-mentioned each structure, function etc., also can by being explained by treater and the program performed for realizing each function and with software simulating.The information such as program, table, file being used for realizing each function can be stored in the memory storages such as memory device, hard disk, SSD (SolidStateDrive, solid state hard disc), or be stored in the recording mediums such as IC-card, SD card, DVD.
In addition, control line and information wire illustrate the parts thinking necessary on illustrating, might not indicate all control lines on product and information wire.In fact, also can think that nearly all structure is interconnected.
Nomenclature
100 traffic need control setup
101 operation informations
102 flowing informations
103 passengers are flowed presumption unit
104 traffic need adjustment part
105 operational plan generating units
106 information providing unit
107 operation management portions
108 route data storehouses
109 operating troubless/accident information data bank
110 passengers are flowed history data storehouse
120 arithmetic processing section
130 storage parts
140 output units
150 input medias
160 operation management apparatus
1400 traffic need control setup
1401 transportation databases
1402 set of paths generating units
Claims (8)
1. traffic needs a control setup, it is characterized in that, has:
Storage part, its store the operation conditions represented in the past health data, represent that the passenger of resume that utilizes of the means of conveyance of passenger is flowed resume and become the control variable of judgement material when passenger selects means of conveyance; And
Arithmetic processing section, it to flow resume according to the described health data that stores in described storage part and described passenger, is mapped to obtain passenger and utilize probability to each means of conveyance with departure place or destination,
The probability that utilizes of each means of conveyance that described arithmetic processing section is obtained under the operation conditions of specifying becomes the described control variable of predetermined value, and provides this control variable to the system of control the traffic.
2. traffic according to claim 1 needs control setup, it is characterized in that,
The operating troubles information relevant to the operating troubles occurred in the past is stored in described health data,
When the operating troubles that described arithmetic processing section is obtained becomes object occurs, the probability that utilizes of each described means of conveyance becomes the described control variable of predetermined value.
3. traffic according to claim 2 needs control setup, it is characterized in that,
Described arithmetic processing section to flow resume according to described control variable and described passenger, and be mapped with departure place or destination the parameter obtained for obtaining when utilizing probability,
And, being taken into for adjusting the described operating troubles information relevant to the operating troubles of object date-time utilizing probability, using the described parameter of the departure place relevant to this operating troubles or destination to obtain the described described control variable utilizing probability to become predetermined value.
4. traffic according to claim 1 needs control setup, it is characterized in that,
Described storage part also stores road map information,
Described arithmetic processing section generates the aggregate information in the path from predetermined departure place to destination that passenger selects according to flow resume and described road map information of described passenger, from described aggregate information, select main path, use the path of this selection to utilize probability to what obtain each means of conveyance.
5. traffic according to claim 3 needs control setup, it is characterized in that,
Described control variable is the explanatory variable of Discrete Choice Model,
Described arithmetic processing section is obtained and is utilized expense or required time as parameter required during the effective value of described explanatory variable means of conveyance obtaining, and the probability that utilizes obtaining each means of conveyance becomes the described explanatory variable of predetermined value.
6. traffic according to claim 3 needs control setup, it is characterized in that,
Described control variable is the explanatory variable of Discrete Choice Model,
Described arithmetic processing section is obtained obtaining using the number of run hourly of bus or railway as parameter required during the effective value of described explanatory variable, and the probability that utilizes obtaining each means of conveyance becomes the described explanatory variable of predetermined value.
7. traffic according to claim 1 needs control setup, it is characterized in that,
Also possess operational plan generating unit, it generates the operational plan of means of conveyance according to the described control variable obtained.
8. traffic according to claim 1 needs control setup, it is characterized in that,
Also possess information providing unit, it is for utilizing the passenger of means of conveyance to notice the described control variable obtained.
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/JP2013/066416 WO2014199503A1 (en) | 2013-06-14 | 2013-06-14 | Traffic demand control device |
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| CN105377664A true CN105377664A (en) | 2016-03-02 |
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| CN201380077376.6A Pending CN105377664A (en) | 2013-06-14 | 2013-06-14 | Traffic demand control device |
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| EP (1) | EP3009324A4 (en) |
| JP (1) | JP6138934B2 (en) |
| CN (1) | CN105377664A (en) |
| WO (1) | WO2014199503A1 (en) |
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| JP6909145B2 (en) * | 2017-12-14 | 2021-07-28 | 株式会社富士通アドバンストエンジニアリング | Information processing methods, information processing devices, and programs |
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Also Published As
| Publication number | Publication date |
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| JP6138934B2 (en) | 2017-05-31 |
| JPWO2014199503A1 (en) | 2017-02-23 |
| WO2014199503A1 (en) | 2014-12-18 |
| EP3009324A1 (en) | 2016-04-20 |
| EP3009324A4 (en) | 2017-01-25 |
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