Patent Publication Number: US-2021166144-A1

Title: Method for estimating intra-building traffic, and system for estimating intra-building traffic

Description:
TECHNICAL FIELD 
     The present invention relates to a method for estimating intra-building traffic and a system for estimating intra-building traffic. 
     BACKGROUND ART 
     In the case of examining the appropriate operation of elevators in a building or planning the renewal of the elevators for improving the usability of the elevators, it is important to grasp the traffic demand in the building first and foremost. 
     In Patent Literature 1, a device for estimating an OD matrix (Origin-Destination Matrix) is proposed that shows a traffic flow showing from which floors of elevators to which floors users move on the basis of the operation data of the elevators including the number of getting-on passengers and the number of getting-off passengers in the elevators at each floor and the push-down timings of the buttons of the cars of the elevators. 
     As for the derivation of an OD matrix, it has been sufficient in the past that an OD matrix regarding the in-service floors of one elevator bank (group) can be derived on the basis of the operation data of the elevator bank. Conventionally, there have been few buildings where users transfer from one elevator bank to another elevator bank, so that there has been no need to grasp the states of the transfer movements. Actually, Patent Literature 1 discloses a method for estimating an OD matrix regarding movements at a single elevator bank. 
     CITATION LIST 
     Patent Literature 
     Patent Literature 1: Japanese Patent Application Laid-Open Publication No. 58-152769 
     SUMMARY OF INVENTION 
     Technical Problem 
     As buildings become large-scale and complex today, the number of buildings where transfers between elevator banks are needed is increasing more and more, so that a need for grasping the states of transfer movements has been growing. However, because there is no mechanism in which data regarding plural banks is combined in the method described in Patent Literature 1, an OD matrix of the entirety of a building, in which transfers among elevators are taken into consideration, cannot be calculated. 
     Accordingly, the object of the present invention is to provide a method for estimating intra-building traffic and a system for estimating intra-building traffic that allow the estimation of an OD matrix of the entirety of plural elevator banks in a building in consideration of transfers (transfer movements) among the elevator banks. 
     Solution to Problem 
     In order to solve the above problem, an OD matrix estimation device according to the present invention includes: an extraction unit that, on the basis of intra-bank OD matrixes that show traffic flow information in respective elevator banks in plural elevator banks and transfer floor information about a transfer floor where transfers among the elevator banks is possible, extracts transfer-related intra-bank OD matrixes having a common transfer floor from among the intra-bank OD matrixes; a matching unit that, from among the transfer-related intra-bank OD matrixes extracted by the extraction unit, combines first transfer intra-bank OD matrixes each including OD data in which the transfer floor is defined as an arrival floor with second transfer intra-bank OD matrixes each including OD data in which the transfer floor is defined as a departure floor to create transfer-related OD data; and an estimation unit that, from the transfer-related OD data obtained through combination processing by the matching unit, estimates OD data for users who transfer and move among the banks to create a plural-bank OD matrix that is an OD matrix of the entirety of the plural banks. 
     Advantageous Effects of Invention 
     According to the present invention, it becomes possible to provide a method for estimating intra-building traffic and a system for estimating intra-building traffic that allow the estimation of an OD matrix of the entirety of plural elevator banks in a building in consideration of transfers (transfer movements) among the elevator banks. 
    
    
     
       BRIEF DESCRIPTION OF DRAWINGS 
         FIG. 1  is a diagram showing an example of a system configuration and a data flow in a method for estimating a plural-bank OD matrix according to the present invention. 
         FIG. 2  is a diagram showing an example of transfer floor information in a building that is taken up in the present invention. 
         FIG. 3  is a diagram showing an example of intra-bank matrixes that are respectively created from plural elevator banks and that are taken up in the present invention. 
         FIG. 4  is a diagram showing an example of the content of processing of an extraction/matching unit in the present invention. 
         FIG. 5  is a diagram showing the result of processing of a synthesis unit in the present invention. 
         FIG. 6  is a diagram showing the result of processing of an extraction unit in the present invention. 
         FIG. 7  is a diagram showing the result of processing of a matching unit in the present invention. 
         FIG. 8  is a diagram showing the content of processing of an estimation unit in the present invention. 
         FIG. 9  is a diagram showing the result of sort processing after the sort processing in the present invention. 
         FIG. 10  is a diagram showing a plural-bank OD matrix obtained by processing in the present invention. 
         FIG. 11  is a diagram showing an example of the contents of processing of an extraction/matching unit in the present invention. 
         FIG. 12  is a diagram showing an example of inputs into a data separation unit in the present invention. 
         FIG. 13  is a diagram showing OD data regarding a transfer floor separated by the data separation unit in the present invention. 
         FIG. 14  is a diagram showing the result of processing of the data separation unit in the present invention. 
         FIG. 15  is a diagram showing an example of inputs into the data adjustment unit in the present invention. 
         FIG. 16  is a diagram showing the result of processing of a data adjustment unit in the present invention. 
     
    
    
     DESCRIPTION OF EMBODIMENTS 
     Hereinafter, examples will be explained with reference to the accompanying drawings. 
     Example 1 
     An example of a system configuration of an embodiment according to the present invention will be explained with reference to  FIG. 1 .  FIG. 1  is a diagram showing an example of a system configuration and a data flow in a method for estimating a plural-bank OD matrix according to the present invention. 
     Information of intra-bank OD matrixes  102 ,  103 ,  104 ,  105 ,  106 , and  107 , which is data of OD matrixes at the in-service floors of the respective banks and estimated from the number of getting-on passengers and the number of getting-off passengers in elevators and the push timings of respective buttons using, for example, the method disclosed on Patent Literature 1, is recorded in plural elevator groups (banks)  100  and  101  that are related with the elevator transfers of users. 
     Here, although the number of banks that include the intra-bank OD matrix data  102 ,  103 ,  104 ,  105 ,  106 , and  107  in  FIG. 1  is two, that is, the banks are a bank  1  ( 101 ) and a bank  2  ( 102 ), the number of banks can be three or larger, and additionally, the number of the intra-bank OD matrixes can be larger or smaller than the number shown in  FIG. 1 . 
     First, the intra-bank OD matrixes  102 ,  103 ,  104 ,  105 ,  106 , and  107  in the respective banks as well as transfer floor information  108  that is data about floors and banks where transfers are made are inputted into an extraction/matching unit  109 . 
     In the extraction/matching unit  109 , transfer-related intra-bank OD matrixes having a common transfer floor are extracted from the input intra-bank OD matrixes in the respective banks, and OD data in which information about the number of getting-on passengers and the number of getting-off passengers are recorded is extracted from the intra-transfer-related bank OD matrixes. In addition, transfer-related OD data  110 , where OD data in which the transfer floor is defined as an arrival floor and OD data in which the transfer floor is defined as a departure floor are allocated to transfer movement patterns in a one-to-one manner, is created. 
     Furthermore, OD data that is not extracted by the extraction/matching unit  109  is separately outputted as transfer-nonrelated OD data  111 . 
     The outputted transfer-related OD data  110  and transfer-nonrelated OD data  111  are inputted into an estimation unit  112 . In the estimation unit  112 , OD data for users who transfer and move among elevators is estimated from the transfer-related OD data  110 , and the OD data for the users is combined with the transfer-nonrelated OD data  111  to create a plural-bank OD matrix  113  that is an OD matrix of the entirety of the plural banks. 
     Hereinafter, the details of data and processing in this configuration will be explained. 
     First, the transfer floor information  108  will be explained with reference to  FIG. 2 . The transfer floor information  108  is information showing from which banks to which banks transfers can be made at which floors, and, for example, as shown in  FIG. 2 , the service floors and transfer floor of each elevator bank are shown. 
     The service floors of the respective banks shown by a bank  1  ( 201 ), a bank  2  ( 202 ), and a bank  3  ( 203 ) are classified according to the presence or absence  204  (in-service),  205  (out-of-service) of the service. Furthermore, information  207  showing that transfer can be made between the bank  1  and the bank  2  at the transfer floor, that is, at the 3 rd  floor, and information  208  showing that transfer can be made between the bank  1  and the bank  3  at the transfer floor, that is, at the 3 rd  floor are stored. The explanation about the transfer floor information  108  is as mentioned above. 
     Next, the description about the intra-bank matrixes  102 ,  103 ,  104 ,  105 ,  106 , and  107  will be made with reference to  FIG. 3 . An intra-bank OD matrix  114  is matrix data describing the getting-on floors and the getting-off floors of passengers at the in-service floors of the respective banks. For example, the point that there are three passengers in an elevator that left the 1 st  floor at 08:01 for the 3 rd  floor can be read out from a component  309 . An intra-bank OD matrix such as intra-bank OD matrixes  303 ,  304 ,  305 ,  306 ,  307 , or  308  is given in such a way that the intra-bank OD matrix is associated with the departure time of the relevant elevator. Such an association way with the departure times of elevators is adopted because an OD matrix is calculated for every moving up or moving down of an elevator when the OD matrix is calculated using elevator operation data. 
     An OD matrix that is calculated for every operation of an elevator in such a way is referred to as a predefined time OD matrix in the present invention. On the other hand, the association way of time data is not equal to the above way. For example, there is a way in which the numbers of persons who move during a specified time interval such as a time interval “08:30 to 08:35” are summed up. Such an association way as this can be obtained by summing up OD matrixes included in the relevant time interval. An OD matrix that is associated with a specified time interval is referred to as a specified time interval OD matrix in the present invention. In addition, some of components of an OD matrix pulled out from the OD matrix are referred to as OD data in the present invention. 
     Next, pieces of processing performed in this example will be explained below. As shown in  FIG. 1 , main pieces of processing are two pieces of processing performed by the extraction/matching unit  109  and the estimation unit  112 . Each of the above pieces of processing will be explained in detail hereinafter. 
     First, the extraction/matching unit  109  will be explained. In the extraction/matching unit  109 , as mentioned above, OD data regarding the transfer floor is extracted from the input intra-bank OD matrixes in the respective banks, and transfer-related OD data  110 , where OD data in which the transfer floor is defined as an arrival floor and OD data in which the transfer floor is defined as a departure floor are allocated to the transfer movement patterns in a one-to-one manner, is created. Herewith, because OD data regarding persons who arrive at the transfer floor and OD data regarding persons who depart from the transfer floor, which are necessary in order to estimate OD data regarding transfer movement between elevators, are obtained as sets, a preparation to estimate the plural-bank OD matrix  113  is completed. 
     Processing performed by the extraction/matching unit  109  will be explained in detail with reference to  FIG. 4 . The processing includes three processes performed by a synthesis unit  401 , an extraction unit  402 , and a matching unit  403 . 
     First, the synthesis unit  401  will be explained. In the synthesis unit  401 , by synthesizing predefined time intra-bank OD matrix  114  during a specified time interval, specified time interval intra-bank OD matrixes are created. For example, it will be assumed that bank OD matrixes  303 ,  304 ,  305 ,  306 ,  307 , and  308  are given, and specified time intervals are given in units of five minutes from 08:00. In this case, processing in which intra-bank OD matrixes during a time interval “08:00 to 08:05” are added for each bank is performed. In other words, a process of adding the matrixes  303  and  304 , a process of adding the matrixes  305  and  306 , and a process of adding the matrixes  307  and  308  are executed. 
     As a result of the above processes, specified time interval intra-bank matrixes  500 ,  501 , and  502  in  FIG. 5  are obtained respectively. With the execution of the above processes, the predefined time intra-bank OD matrixes are converted into the specified time interval intra-bank OD matrixes. In this case, it is not always necessary to set the lengths of the time intervals equal to one another, and it is conceivable that a time interval is set so short that data obtained from one operation of each of elevators in each bank can be combined. The explanation about the synthesis unit  401  is as mentioned above. 
     Next, the extraction unit  402  will be explained. In the extraction unit  402 , a process of separating OD data regarding the transfer floor from OD data regarding floors other than the transfer floor among the specified time interval intra-bank OD matrixes obtained by the synthesis unit  401  is performed. 
     For example, it will be assumed that this process is applied to the specified time interval intra-bank OD matrixes  500 ,  501 , and  502  shown in  FIG. 5 . Furthermore, it will be assumed that, as the transfer floor information, the information  207  showing that transfer can be made between the bank  1  and the bank  2  at the 3 rd  floor, and the information  208  showing that transfer can be made between the bank  1  and the bank  3  at the 3 rd  floor is given in  FIG. 2 . Under these assumptions, a process of separating data regarding the transfer floor, that is, the 3 rd  floor from data regarding floors other than the 3 rd  floor is performed. A result of the above process is shown in  FIG. 6 . Taking the matrix  500  for example, data  503  and  504  the getting-off floor of which is the 3 rd  floor and data  505  and  506  the getting-on floor of which is the 3 rd  floor are classified as data  601  and  602  regarding the transfer floor. On the other hand, data  507  and  508  other than the above data are classified as data  603  and  604  regarding floors other than the transfer floor, and the data  507  and  508  are outputted into the estimation unit  112  as transfer-nonrelated OD data  111 . Because the OD data regarding the transfer floor is extracted by the above process, data used for estimating transfer movements can be separated from other data. The explanation about the extraction unit  402  is as mentioned above. 
     Successively, the matching unit  403  will be explained. In the matching unit  403 , OD data in which the transfer floor is defined as an arrival floor and OD data in which the transfer floor is defined as a departure floor are allocated to the transfer movement patterns given by the transfer floor information  108  in a one-to-one manner. 
     For example, it will be assumed that data  600  is obtained in the extraction unit  402 . First, the transfer movement patterns are cited on the basis of the transfer floor information  108 . In this case, there are four patterns, that is, transfer movement patterns from the bank  1  to the bank  2 , from the bank  1  to the bank  3 , from the bank  2  to the bank  1 , and from the bank  3  to the bank  1 . Next, OD data in which the transfer floor is defined as an arrival floor and OD data in which the transfer floor is defined as a departure floor are allocated to the transfer movement patterns in a one-to-one manner. 
     However, in the case where the same bank is used by plural transfer patterns, data of the relevant bank is divided among the plural transfer patterns. As a result of applying the above allocation method to the data  600 , data shown in  FIG. 7  is obtained. Taking a transfer pattern  700  from the bank  1  to the bank  2  for example, OD data of the bank  1  is allocated as data in which the transfer floor is defined as a getting-off floor, and OD data of the bank  2  is allocated as data in which the transfer floor is defined as a getting-on floor. 
     In other words, the data  601  is allocated from the data of the bank  1 , and data  606  is allocated from the data of the bank  2 . Here, the data of the bank  1  in which the transfer floor, that is, the 3 rd  floor is defined as a getting-off floor is also used for a transfer pattern from the bank  1  to the bank  3 . 
     Therefore, the data of the bank  1  is divided between these transfer patterns. The division can be done in such a way that, for example, the ratio of the total movement amounts of respective banks in each of which the transfer floor is defined as a getting-on floor is taken into consideration. To put it concretely, the total movement amount of the bank  2 , in which the transfer floor, that is, the 3 rd  floor is defined as a departure floor, is six persons with reference to the data  606 , and the total movement amount of the bank  3  is also six persons with reference to data  607 , so that, in this case, the data  601  can be allocated to the transfer pattern from the bank  1  to the bank  2  and to the transfer pattern from the bank  1  to the bank  3  at the rate of 1 to 1. 
     By performing the above processing, data  704  and data  705  are allocated to the transfer pattern from the bank  1  to the bank  2 . After the similar processing is performed on all other transfer patterns, the transfer-related OD data  110  is obtained. Here, OD data in which the transfer floor is defined as a getting-off floor is referred to as arrival OD data  706 , and OD data in which the transfer floor is defined as a getting-on floor is referred to as departure OD data  707 . The transfer-related OD data  110  is outputted to the estimation unit  112 , and the processing performed by the matching unit  403  is completed. Through the above processing, because OD data regarding persons who arrive at the transfer floor and OD data regarding persons who depart from the transfer floor, which are necessary in order to estimate OD data regarding transfer movement between elevators, are obtained as a set, a preparation to estimate the plural-bank OD matrix  113  is completed. The explanation about the matching unit  403  is as mentioned above. 
     Next, the estimation unit  112  will be explained. In the estimation unit  112 , the OD data regarding transfer movement between elevators is estimated on the basis of the transfer-related OD data  110  outputted from the extraction/matching unit  109 , and by combining this data with the transfer-nonrelated OD data  111  outputted from the extraction/matching unit  109 , the plural-bank OD matrix  113  is created. 
     The details of the processing will be explained below with reference to  FIG. 8 . The processing includes two processes, that is, one performed by a sorting unit  801  and the other performed by a creation unit  802 . 
     First, the sorting unit  801  will be explained. In the sorting unit  801 , the OD data regarding transfer movement between elevators is estimated from the transfer-related OD data  110  obtained by the extraction/matching unit  109 . 
     As an estimation method, a method in which the values shown by the departure OD data  707  are allocated on the basis of the ratio shown by the arrival OD data  706  can be adopted. When this method is applied to the data  704  and the data  705 , the estimation result of data  904  shown in  FIG. 9  is obtained. As can be read out from the data  904 , three persons at each of 4 th  floor and 5 th  floor of the data  705  are divided on the basis of the ratio of the number of persons 4:2 shown by the data  704 . When similar operations are executed on all the other transfer-related OD data  110 , OD data  908  regarding transfer movement between elevators is obtained. The processing of the sorting unit  801  is as mentioned above. 
     Next, the creation unit  802  will be explained. In the creation unit  802 , the plural-bank OD matrix  113  is created by combining the OD data  908  regarding transfer movement between elevators with the transfer-nonrelated OD data  111 . 
     In an example using  FIG. 6  and  FIG. 9 , by combining the data  904 ,  905 ,  906 , and  907  as the OD data regarding transfer movement between elevators with the data  603 ,  604 ,  609 , and  610  as the transfer-nonrelated OD data, the plural-bank OD matrix  113  in  FIG. 10  is obtained. The data  904 ,  905 ,  906 , and  907 , and the data  603 ,  604 ,  609 , and  610  are respectively allocated to data regarding the relevant floors. Here, it will be assumed that there are no persons who use the transfer floor, that is, the 3 rd  floor as a getting-on floor or a departure floor. 
     In addition, because it will be assumed that there are no transfers between the bank  2  and the bank  3  as can be seen from the transfer floor information  108 , there are no transfer movements between the 4 th  floor and 5 th  floor, which belong to only the bank  2 , and the 6 th  floor, which belongs to only the bank  3 . In other words, data  1001 ,  1002 ,  1003 , and  1004  are null. The obtained plural-bank OD matrix  113  is outputted, and the processing by the creation unit  802  is finished. 
     Example 2 
     In Example 2, by adding some pieces of processing to the processing of the extraction/matching unit  109 , it is expected that the accuracy of the estimation of the plural-bank OD matrix  113  is improved. Because the processing of an estimation unit in this example is the same as the processing of the estimation unit in Example 1, the explanation thereabout is omitted. 
     The processing performed by an extraction/matching unit  109  will be explained with reference to  FIG. 11 . In the processing shown in  FIG. 11 , a data separation unit  1100  and a data adjustment unit  1101  are added in comparison with the processing shown in  FIG. 4  in Example 1. Because the contents of pieces of processing performed by a synthesis unit  401 , an extraction unit  402 , and a matching unit  403  are equivalent to those performed in Example 1, the explanations thereabout are omitted. 
     The contents executed by the data separation unit  1100  will be explained. In the data separation unit  1100 , processing in which, by subtracting the number of persons breaking away and the number of persons originating at the transfer floor from the intra-bank OD matrixes of the respective banks in advance, persons who transfer and persons who do not transfer at the transfer floor are separated, is performed, where the above numbers are newly given as input numbers. Hereinafter, the contents of the above processing will be explained using an example. It will be assumed that, as a result of the processing performed by the synthesis unit  401 , data  1200  and  1201  shown in  FIG. 12  are obtained. Furthermore, it will also be assumed that data that the number of persons breaking away is 6 and the number of persons originating is 4 during a time interval “08:00 to 08:05” at the transfer floor, that is, the 3 rd  floor is given. If there are an observation platform and shops at the transfer floor, data that is obtained from them can be adopted. 
     First, the allocation of the number of the persons breaking away is executed. The number 6 of the persons breaking away is associated with data in which the 3 rd  floor is defined as a getting-off floor in the OD matrixes of the bank  1  and the bank  2 . In  FIG. 12 , data  1202 ,  1203 ,  1208 , and  1209  fall under the above data. The number of the persons breaking away is allocated on the basis the ratio of these data pieces. In other words, the number 6 of the persons breaking away is allocated to 4, 2, 0, and 0 on the basis of the ratio of 12:6:0:0. The numbers of the persons breaking away allocated as above are subtracted from the intra-bank OD data  1200  and  1201 , and the numbers of the persons breaking away are outputted as transfer-nonrelated OD data  111  as shown by data  1301  and  1302  in  FIG. 13 . 
     Similar processing is also performed on the number of the persons originating. In the allocation of the number of the persons originating, consideration should be paid to OD data in which the transfer floor, that is, the 3 rd  floor is defined as a getting-on floor. In  FIG. 12 , data  1204 ,  1205 ,  1206 , and  1207  fall under the above data. The number 4 of the getting-on persons is allocated to 0, 0, 1, and 3 on the basis of the ratio of 0:0:4:12 of these data pieces. The numbers of the getting-on persons allocated as above are subtracted from the intra-bank OD data  1200  and  1201 , and the numbers of the getting-on persons are outputted as transfer-nonrelated OD data  111  as shown by data  1303  and  1304  in  FIG. 13 . 
     After the above processing is finished, matrixes  1400  and  1401  are obtained as the OD matrixes of the bank  1  and the bank  2  in  FIG. 14 . Because the numbers of the persons breaking away  1301  and  1302  and the numbers of persons originating  1303  and  1304  at the transfer floor are subtracted from OD data  1402 ,  1403 ,  1404 ,  1405 ,  1406 ,  1407 ,  1408 , and  1409  regarding the transfer floor in these intra-bank OD matrixes, all the OD data  1402 ,  1403 ,  1404 ,  1405 ,  1406 ,  1407 ,  1408 , and  1409  can be treated as data regarding transferring. The processing of the data separation unit  1100  is as mentioned above. 
     Owing to this processing, the plural-bank OD matrix  113 , which is finally obtained, includes the OD data regarding the transfer floor. Therefore, in the case where there are an observation platform and shops in the transfer floor and all persons do not immediately transfer at the transfer floor, the accuracy of the estimation of the plural-bank OD matrix  113  is expected to be improved. The explanation about the data separation unit  1100  is as mentioned above. 
     Next, the data adjustment unit  1101  will be explained. In the data adjustment unit  1101 , the values of the departure OD data  707  regarding the transfer floor are adjusted with reference to the average round trip time of each bank which is newly given as an input value. To put it concretely, a part of the value of the departure OD data  707  is shifted to the values of the departure OD data in the previous time interval, where the part is decided by the ratio of the average round trip time to the time interval of each OD data. Owing to this processing, a possibility that the number of persons originating regarding transferring can be classified into the accurate time interval becomes higher, so that the accuracy of the estimation of the OD data regarding transfer movement between elevators  908  is expected to be improved. 
     Hereinafter, the above processing will be explained using a numerical example. It will be assumed that data  1502 ,  1503 ,  1504 , and  1505  shown in  FIG. 15  are given at the time when the processing by the matching unit  403  is finished. As can be read out from time interval data  1500  and  1501 , the arrival OD data  1502  and  1504  and the departure OD data  1503  and  1505  are respectively allocated to two time intervals “08:00 to 08:05” and “08:05 to 08:10”. In this case, if one minute is given to the average round trip time of the bank  1 , users who depart the transfer floor, that is, the 3 rd  floor during a time interval “08:05 to 08:06” are considered to have appeared at the 1 st  floor or 2 nd  floor during a time interval “08:04 to 08:05” which is one minute earlier than the time interval “08:05 to 08:06”. Because OD data is estimated on the basis of their origination times, it is necessary to reclassify data regarding such users into the time interval “08:00 to 08:05”. 
     Therefore, taking the ratio of the average round trip time one minute to the time interval five minutes of the OD data, that is, 1/5 into consideration, 1/5 of the departure OD data  1505  during the time interval “08:05 to 08:10” is shifted to the departure OD data  1503  during the previous time interval, that is, during the time interval “08:00 to 08:05”. After the above processing is performed,  FIG. 16  is obtained. As can be read out from departure OD data  1603  and  1605 , 1/5 of the data during the time interval “08:05 to 08:10” is shifted to the data during the time interval “08:00 to 08:05”. 
     With this, it is expected that the estimation of the OD data regarding transfer movement between elevators can be carried out under the condition that departure times at respective transfers and movements are grasped more accurately. The processing performed by the data adjustment unit is finished when a combination of the arrival OD data and the departure OD data on which the above adjustment is carried out is outputted to the estimation unit  112  as transfer-related OD data  110 . The explanation about the data adjustment steps is as mentioned above. 
     REFERENCE SIGNS LIST 
       100 ,  101  . . . Bank,  108  . . . Transfer Floor Information,  109  . . . Extraction/Matching Unit,  110  . . . Transfer-Related OD Data,  111  . . . Transfer-Nonrelated OD Data,  112  . . . Estimation Unit,  113  . . . Plural-Bank OD Matrix