WO2020256116A1 - Schedule adjustment method and storage medium for storing schedule adjustment program - Google Patents

Schedule adjustment method and storage medium for storing schedule adjustment program Download PDF

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Publication number
WO2020256116A1
WO2020256116A1 PCT/JP2020/024171 JP2020024171W WO2020256116A1 WO 2020256116 A1 WO2020256116 A1 WO 2020256116A1 JP 2020024171 W JP2020024171 W JP 2020024171W WO 2020256116 A1 WO2020256116 A1 WO 2020256116A1
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Prior art keywords
schedule
congestion
information
user
schedule adjustment
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PCT/JP2020/024171
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French (fr)
Japanese (ja)
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夏樹 塚野
俊二 川村
暖 山本
圭 北原
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株式会社日立製作所
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Priority to JP2021526926A priority Critical patent/JP7261878B2/en
Publication of WO2020256116A1 publication Critical patent/WO2020256116A1/en

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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q10/00Administration; Management
    • G06Q10/10Office automation; Time management
    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06QINFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
    • G06Q50/00Information and communication technology [ICT] specially adapted for implementation of business processes of specific business sectors, e.g. utilities or tourism
    • G06Q50/10Services

Definitions

  • the present invention relates to a technique for adjusting a user's schedule.
  • shared offices In recent years, in order to improve the quality of life of all people and realize a society where they can work and play an active role, work style reforms, ingenuity in transportation behavior, shared offices, satellite offices, coworking spaces (hereinafter, "shared offices, etc.”" There is a social trend in which various work styles are recognized. On the other hand, frameworks and technologies for managing, collecting, and utilizing personal information such as information banks and PDSs (Personal Data Stores) are being developed.
  • PDSs Personal Data Stores
  • Patent Document 2 As a device for traffic behavior, there is Patent Document 2 for the purpose of alleviating road congestion.
  • Patent Document 2 discloses a technique for making a road traffic reservation, predicting the degree of congestion from the reservation result, reflecting the predicted degree of congestion in the toll, and mixing the congestion.
  • Patent Document 1 does not consider the creation of free time by devising traffic behavior or using shared offices when adjusting the schedule. Further, Patent Document 2 does not present a method of avoiding congestion, only motivation for avoiding congestion time zone. That is, there is a problem that commuting congestion is not alleviated even if the schedule during work is streamlined.
  • the present invention has been made in view of such circumstances, and an object of the present invention is to adjust a schedule that can create free time while avoiding commuting during busy hours.
  • a system that adjusts the schedule so that the user can commute to work while avoiding commuting congestion will be described based on the schedule of each user.
  • the terminal device 101 is a device held for each user and can be realized by a general computer. Although the figure is omitted, it includes a calculation unit, a communication unit, a storage unit, an input / output unit, and a position information acquisition unit.
  • the communication unit can communicate with a network such as the Internet.
  • the position information acquisition unit acquires the position information of the user, and is composed of an application or the like running on the terminal device 101.
  • the user can exchange information with the schedule adjustment system and use various services provided by the information bank and the external service provider by using the Web browser, the application and the add-on installed in the terminal device.
  • the calculation unit 201 avoids congestion based on the congestion status grasping processing unit 205 that calculates the congestion status from the user information and the information acquired from the external service provider 104, and the grasped congestion status and the user's schedule and intention. It has a congestion adjustment processing unit 206 that adjusts so as to be.
  • the storage unit 202 includes a congestion information holding unit 207 that holds the congestion information that is the processing result of the congestion status grasping processing unit 205 including a history, basic information of the user such as an address and main commuting means, and a user.
  • User information holding unit 208 that holds information on the schedule and location where the schedule is implemented, and external service information holding that holds past congestion status, location and availability information of shared office services acquired from the external service provider 104, etc. It has a part 209.
  • the communication unit 203 transmits the result processed by the calculation unit 201 to the terminal device 101, the information bank 103, and the external service provider 104 via a network such as the Internet, or information necessary for processing by the calculation unit 201. And the information stored in the storage unit 202 is received from the terminal device 101, the information bank 103, and the external service provider 104.
  • FIG. 3 is a block diagram showing the hardware configuration of the information bank 103 in this embodiment.
  • the information bank 103 can be realized by a general server device, and has a calculation unit 301 for managing personal data, a storage unit 302 for holding personal data, a terminal device 101, a schedule adjustment server 102, an external service provider 104, and a network 105. It is composed of a communication unit 303 for exchanging information via the information bank 103 and an input / output unit 304 for receiving input from the administrator of the information bank 103, and each unit is connected by a BUS or the like.
  • the calculation unit 301 includes an information cooperation unit 305 that exchanges personal data with the user using the terminal device 101 and exchanges personal data with the schedule adjustment server 102 and the external service provider 104 based on the contract with the user. It has a personal data management unit 306 that controls access, controls the information collection period, deletes information, and the like based on a contract with a user.
  • the storage unit 302 has a personal data holding unit 307 that holds personal data obtained as a result of the processing of the information linking unit 305.
  • the processing of the arithmetic unit 201 and the arithmetic unit 301 can be realized by the CPU executing a predetermined program loaded in the memory. That is, the communication units 203 and 303 can be realized by the CPU using the communication device.
  • the input / output units 204 and 304 are realized by the CPU using an input device or an output device.
  • the storage units 202 and 302 are realized by the CPU using a memory or an external storage device.
  • the calculation units 201 and 301 are realized as CPU processes.
  • These programs may be pre-stored in the computer's memory or external storage, and when needed, from removable storage media available to the computer, or from communication media (such as the network 105, or them). It may be introduced from other devices via a carrier wave or digital signal propagating over it.
  • a plurality of storage units having different storage methods such as RDB (Relational Database), file server, KVS (Key-Value Store), etc., depending on the size and format of the data stored in the storage unit 202 and the storage unit 302. It may be composed of. Further, a part or all of the data equivalent to the stored data may be provided from a plurality of other servers connected to the network 105 such as the Internet, or by a removable storage medium.
  • RDB Relational Database
  • file server file server
  • KVS Key-Value Store
  • each component shown in FIGS. 2 and 3 does not need to be physically separated, and one component may also serve as the other.
  • FIG. 4 is a sequence showing the processing procedure of the schedule adjustment system in this embodiment. That is, it shows a series of processing flows in which the schedule adjustment system acquires information from the user, grasps the congestion status, and adjusts the schedule so as to avoid congestion.
  • step S401 may be performed at any timing desired by the user, such as when the user starts using a new service.
  • step S403 may be performed at a timing agreed between the information bank 103, the external service provider 104, and the user, such as the date and time, weekly, and the timing when the information is changed.
  • the schedule adjustment server 102 acquires the shared office information 603, which will be described later, including the location and vacancy status of the facility from the external service provider 104, and stores it in the external service information holding unit 209 (S407).
  • step S407 may be performed daily, weekly, at the timing when information is changed, at the timing when there is a request from the user, or the like.
  • the information to be acquired may be only the information that has been added or changed.
  • the schedule adjustment server 102 transmits to the external service provider 104 and the information bank 103 whether or not the shared office is used and the contents of the schedule change (S412, S413).
  • the information bank 103 and the external service provider 104 store the received information.
  • the user basic information 501, the user schedule 502, and the implementation location information 503 shown in FIG. 5 are structural examples of user information for a certain user. This information exists in the database for at least the number of users. Further, each setting item may be automatically acquired from the information bank 103, or the user may access the schedule adjustment server 102 from the terminal device 101 and set it individually.
  • [Main means of commuting] sets the means of transportation used for commuting.
  • items such as public transportation such as trains and buses, private cars, walking, and bicycles can be set.
  • Standard commuting time sets the standard time for the user to commute, excluding non-standard times such as business trips, half-day holidays, late arrivals, and early departures.
  • the figure shows an example in which it takes one hour to commute, the outbound route is from 7:30 to 8:30, and the return route is from 17:30 to 18:30. If there are multiple standard commuting hours in the shift time system, multiple registrations may be made.
  • [Standard boarding time] is the time when the user is commuting to work as [Standard commuting time] and is boarding a train or bus.
  • Regular schedule sets the name and time of the schedule and the type of repetition for the regular schedule that the user carries out on a daily, weekly, or monthly basis.
  • This appointment may be a business appointment or a personal appointment.
  • Personal regular schedules include pick-up and drop-off at nursery schools, hobby lessons (fitness, cooking classes, etc.), and long-term care schedules.
  • the [Main means of commuting], [Station closest to home], [Station closest to work], [Commuting route], and [Working style] can be selected by the user from the values preset by the server administrator. It may be possible to set.
  • the name of the schedule entered by the user is set in [Schedule name].
  • the system may automatically input a regular schedule that can be inferred from the user basic information 501 such as commuting and fitness.
  • [Implementation location name] is set to the name of the implementation location of the schedule entered by the user.
  • "meeting room A” which is the name of the conference room
  • "A sports gym” which is the name of the sports gym are exemplified. If there is no place to carry out, such as when [Schedule name] is "Commuting", it will not be set.
  • implementation location information 503 includes items of [implementation location name] and [address].
  • Examplementation location name is set to the implementation location name set in the user schedule 502.
  • [Address] is set to the location of the place of implementation. For example, a city, ward, town, town area, street address, building name, room number, etc. are set. A postal code or a prefecture name may be set. The latitude / longitude information acquired from the position information acquisition unit of the terminal device 101 held by the user may be input.
  • operation information 601 includes items of [train number], [capacity], [link to timetable], and [route name].
  • Capacity is set for each train.
  • the capacity is set according to the vehicle formation, seats, and standing arrangement method.
  • [Link to timetable] is a reference of which timetable information 602 the train operates based on.
  • timetable information 602 includes items of [station name], [arrival time], and [departure time].
  • the timetable information 602 is an example of a data structure for a certain train. These data will exist in the database for at least the number of trains.
  • the timetable information 602 has a unique identifier for each train, and by setting one identifier as [link to the timetable] in the operation information 601 it is possible to refer to the timetable information for each train.
  • [Station name] is the name of the station related to the arrival, departure, passage, etc. of the train.
  • Arriv time is the time when the train arrives at the station. If there is no arrival time due to passing or the like, a mark indicating that there is no data such as "*" is input.
  • shared office information 603 includes items of [shared office name], [address], [link to availability], and [reservation site URL].
  • the name of the shared office is set in the [Shared office name] item. For example, “shared office A” or “shared office B” is set.
  • the item of [Address] is an item in which the location of the shared office is set. For example, a city, ward, town, village, town area, street address, building name, room number, etc. are set. A postal code or a prefecture name may be set.
  • the item of [Link to vacancy status] is set to refer to the vacancy status of each space in the shared office.
  • the URL of the reservation site of the shared office is set in the [Reservation site URL] item.
  • the API information may be retained.
  • vacancy status 604 includes items of [space ID], [vacancy date / time], and [space type].
  • Vacancy is an example of a structure for a shared office. There will be at least a few minutes of these data in the database for shared offices.
  • the vacancy status has a unique identifier for each shared office, and by setting one identifier as [link to vacancy status] in the shared office information 603, the vacancy status for each shared office can be referred to. Can be done.
  • [Vacancy date and time] is a daily list of available seats or private rooms with the space ID. For example, in FIG. 6D, it is shown that ROOM1 is vacant from 7:00 to 9:00 and 13:00 to 17:00 on December 1, 2018, and can be reserved.
  • past congestion information 605 includes items of [route name], [section], [congestion rate at peak time], and [peak time zone]. From this information, it is possible to acquire the congestion rate for each section and the time zone when congestion occurred.
  • [Peak-time congestion rate] indicates the peak-time congestion rate of the section on the route.
  • [Peak time zone] sets a time zone that becomes [congestion rate at peak time] in the relevant section of the route.
  • the congestion information holding unit 207 of the schedule adjustment server 102 in this embodiment holds the information of the congestion information 701.
  • the congestion information 701 includes items of [route name], [train number], [section], [congestion rate], [departure time], [arrival time], and [change history]. Since this congestion information is created based on the user's schedule, different information is created for each date. In the example of the congestion information 701, the congestion information for a certain day is shown, but the congestion information holding unit holds the congestion information for a preset date, for example, one month.
  • [Section] sets the section of the station for which the congestion rate is calculated.
  • the section is set from the departure of a certain station to the next stop. For example, if the train stops at each station, adjacent stations are set, and if it is an express or limited express train, a station that straddles multiple stations is set. Whether it is an express train or a limited express train can be determined by whether or not there is a passing station in the timetable information 602.
  • [Change history] retains history information in which congestion information has been changed. In the first row of FIG. 7, it is shown that the congestion rate was 198 on March 18, 2019. The congestion information may be changed multiple times a day, and in that case, the change history is set by adding time.
  • step S406 the congestion status grasping processing unit 205 of the schedule adjustment server 102 in this embodiment sets the user basic information 501, the user schedule 502, various information of the implementation location information 503, and the operation information 601. The process of creating congestion information based on the timetable information 602 and the past congestion information 605 is shown.
  • the [main commuting means], [commuting route], [standard boarding time], and the schedule name of the user schedule 502, which are commuting information of the user basic information 501 of all users, are shown.
  • the range of the schedule acquired in this step may be the period for which the congestion information is to be calculated, and for example, one week's worth or one month's worth is acquired.
  • the operation information 601 and the timetable information 602 are acquired, and the [standard boarding time] and the [route information] of the users whose [main commuting means] is "train” are compared, and all the users , [Train number] of the train to be boarded, and the section to be boarded in the timetable information 602 (S802).
  • step S803 the processes of steps S803 to S805 are performed for all the diamonds of the diamond information 602. That is, in step S803, the number of passengers between stations is calculated.
  • step S804 the number of passengers obtained in step S803 is divided by the [capacity] for each train to calculate the congestion rate. If the number of users of the schedule adjustment system is smaller than the actual number of passengers, such as when the system has just started operating, the past congestion rate will be reflected at a fixed rate. As a reflection method, if information on the number of passengers in the past can be obtained, the ratio between the users of the schedule adjustment system and the number of passengers in the past can be obtained, and the congestion rate can be increased according to the calculated ratio. .. Further, even if the information on the actual number of passengers cannot be obtained, it can be reflected at a fixed ratio such as 30%.
  • step S805 the congestion rate calculated in step S804 is added to the congestion information holding unit.
  • the congestion adjustment processing unit 206 of the schedule adjustment server 102 in this embodiment shows various types of user basic information 501, user schedule 502, and implementation location information 503 in steps S408 to S413 of FIG.
  • the process of adjusting the congestion based on the information and operation information 601, the timetable information 602, the shared office information 603, and the vacancy status 604 is shown.
  • the congestion rate between stations where the train to be boarded may be averaged and the averaged congestion rate and the threshold value may be compared.
  • the congestion adjustment process is unnecessary and this process ends.
  • the congestion rate exceeds the threshold value, it is determined whether or not the commuting schedule can be changed to a time other than the congestion time zone with reference to the user schedule 502 (S904). For example, if you plan to commute between 7:30 and 8:30 and the meeting is scheduled for the day from 10:00 to 12:00, there is no schedule until 10:00, so the commuting time is between 9:00 and 10:00. Judge that it can be changed to.
  • the congestion rate of the commuting time of the change destination is confirmed again, and it is confirmed that the congestion rate is below the threshold value in the commuting time of the change destination.
  • the commuting time candidate and the shared office usage time candidate are acquired from the external service information holding unit 209 (S905).
  • This candidate acquires multiple candidates in consideration of the fact that the shared office is not available.
  • the user schedule 502 and the [working style] of the user basic information 501 are referred to, and the time that can be pushed back most of the commuting time candidates is acquired. For example, if you normally commute between 7:30 and 8:30, but you work flextime and the core time is from 10 o'clock, the maximum commuting time is from 9 to 10 o'clock.
  • the shared office usage time candidate is 7:00. It will be from half to 8:30 and from 7:30 to 9:00.
  • it may be arbitrarily set in increments of 10 minutes or 15 minutes instead of 30 minutes.
  • the shared office information 603 and the vacancy status 604 stored in the external service information holding unit 209 are acquired (S906).
  • the shared office information 603 and the vacancy status 604 stored in the external service information holding unit 209 are acquired (S906).
  • the office when acquiring, if you want to advance the commuting time on the outbound route, and if the office is not open, acquire information on the shared office near the nearest station or the business trip destination, and set the commuting time on the outbound route. If you want to move backwards, get information about the shared office near the nearest station to your home.
  • the acquired share office information 603 and vacancy status 604 are compared with the share office usage time candidates, and it is confirmed whether the share office is vacant at that time (S907).
  • the congestion adjustment process is not possible, so this process ends.
  • the shared office is vacant
  • the user is presented with the shared office usage time candidate for which the shared office was vacant and the corresponding commuting time candidate as candidates for changing the schedule (S908).
  • the shared office usage time candidate for which the shared office was vacant
  • the corresponding commuting time candidate as candidates for changing the schedule (S908).
  • multiple candidates will be presented.
  • the candidate that becomes the minimum may be presented preferentially.
  • the change history of the congestion information 701 is acquired, and the trains and sections where the congestion rate increases and the threshold value is exceeded, the departure time and the arrival time are obtained. Identify.
  • the user who uses the section is specified, the user schedule 502 of the specified user is acquired, and the commuting date exceeding the threshold value is obtained. Determine if the time zone overlaps the departure and arrival times that exceed the threshold. If they overlap, the congestion rate is changed at the timing when the user schedule is updated, so the processes after step S904 are performed.
  • FIG. 10 an example of a screen for presenting the schedule adjustment result in this embodiment to the user is shown.
  • the user is presented with the schedule before and after the adjustment.
  • a pre-adjustment schedule commute between 7:30 and 8:30, hold a meeting between 10 and 12 o'clock, commute between 17:30 and 18:30, and 18:30.
  • the schedule for fitness is shown from.
  • the adjusted schedule is to work in a shared office from 7:30 to 9:00, commute between 9:00 and 10:00, hold meetings between 10:00 and 12:00, commute between 15:00 and 16:00, and from 16:00.
  • the schedule for working in a shared office between 6:30 pm and fitness from 6:30 pm is shown.
  • commuting congestion can be predicted based on the schedules of all users, and commuting congestion can be avoided by working in a shared office or the like during busy hours. It is possible to provide a schedule adjustment device and a schedule adjustment program capable of performing schedule adjustment that can create time. This can be expected to have the effect of improving the quality of life of the user.
  • 101 Terminal equipment, 102: Schedule adjustment server, 103: Information bank, 104: External service provider, 105: Network such as the Internet, 201: Calculation unit, 202: Storage unit, 203: Communication unit, 204: Input / output unit, 205: Congestion status grasping processing unit, 206: Congestion adjustment processing unit, 207: Congestion information holding unit, 208: User information holding unit, 209: External service information holding unit, 301: Calculation unit, 302: Storage unit, 303: Communication unit, 304: Input / output unit, 305: Information cooperation unit, 306: Personal data management unit, 307: Personal data retention unit, 501: Basic user information, 502: User schedule, 503: Implementation location information, 601: Operation information, 602: timetable information, 603: shared office information, 604: availability, 605: past congestion information, 701: congestion information.
  • 501 Basic user information
  • 502 User schedule
  • 503 Implementation location information
  • 601 Operation information
  • 602 timetable

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Abstract

A schedule adjustment method for a schedule adjustment system configured from a terminal device connected to a network, a schedule adjustment server and an external service provider, wherein the schedule adjustment server ascertains the state of congestion during the commuting time frame of a user on the basis of user information from the terminal device and past congestion conditions from the external service provider, and also executes congestion state adjustment processing when the user is attempting to commute while it is congested and there is an empty room at a shared office near a location which is closer than is the commuting destination, on the basis of shared office information from the external service provider.

Description

スケジュール調整方法及びスケジュール調整プログラムを格納した記憶媒体Storage medium that stores the schedule adjustment method and schedule adjustment program
 本発明は、利用者のスケジュールを調整する技術に関する。 The present invention relates to a technique for adjusting a user's schedule.
 近年、すべての人々の生活の質が向上し、いきいきと働き活躍できる社会の実現に向け、働き方改革、交通行動の工夫やシェアオフィス、サテライトオフィス、コワーキングスペース(以下、「シェアオフィス等」と表記)の普及が行われており、多様なワークスタイルが認められる社会的な潮流がある。他方で、情報銀行やPDS(パーソナルデータストア)など、個人の情報を管理、収集、活用する枠組みや技術の整備が進んでいる。 In recent years, in order to improve the quality of life of all people and realize a society where they can work and play an active role, work style reforms, ingenuity in transportation behavior, shared offices, satellite offices, coworking spaces (hereinafter, "shared offices, etc."" There is a social trend in which various work styles are recognized. On the other hand, frameworks and technologies for managing, collecting, and utilizing personal information such as information banks and PDSs (Personal Data Stores) are being developed.
 働き方改革の実現に向けて効率的に業務を推進するためのツールとして、スケジュールを管理または調整する特許文献1がある。特許文献1には、スケジュールの作成または追加時に、移動時間、重要度を考慮して、自身の予定や会議参加者の予定を調整することで、最適なスケジュールを提案する技術が開示されている。 There is Patent Document 1 that manages or adjusts the schedule as a tool for efficiently promoting business toward the realization of work style reform. Patent Document 1 discloses a technique for proposing an optimum schedule by adjusting one's own schedule and the schedule of conference participants in consideration of travel time and importance when creating or adding a schedule. ..
 交通行動の工夫としては、道路混雑の緩和を目的とした特許文献2がある。特許文献2には、道路通行予約を行い、予約結果から混雑度を予測し、予測した混雑度を料金に反映させ、混雑を混和する技術が開示されている。 As a device for traffic behavior, there is Patent Document 2 for the purpose of alleviating road congestion. Patent Document 2 discloses a technique for making a road traffic reservation, predicting the degree of congestion from the reservation result, reflecting the predicted degree of congestion in the toll, and mixing the congestion.
特開2013-3877号公報Japanese Unexamined Patent Publication No. 2013-3877 WO13/018656号公報WO13 / 018656
 しかしながら、特許文献1では、スケジュール調整の際に、交通行動の工夫やシェアオフィス等の利用による自由時間の創出について考慮されていない。また、特許文献2では、混雑時間帯を避けるための動機付けのみで、混雑を避ける方法が提示されていない。すなわち、就業中のスケジュールは効率化されても通勤混雑の緩和は行われないという課題がある。 However, Patent Document 1 does not consider the creation of free time by devising traffic behavior or using shared offices when adjusting the schedule. Further, Patent Document 2 does not present a method of avoiding congestion, only motivation for avoiding congestion time zone. That is, there is a problem that commuting congestion is not alleviated even if the schedule during work is streamlined.
 本発明はこのような事情に鑑みてなされたものであり、混雑時間帯における通勤を回避して自由時間を創出できるスケジュール調整を行うことを課題とする。 The present invention has been made in view of such circumstances, and an object of the present invention is to adjust a schedule that can create free time while avoiding commuting during busy hours.
 本発明は、上記背景技術及び課題に鑑み、その一例を挙げるならば、ネットワークに接続された端末装置とスケジュール調整サーバと外部サービスプロバイダから構成されるスケジュール調整システムのスケジュール調整方法であって、端末装置からの利用者の情報、及び、外部サービスプロバイダからの過去の混雑状況をもとに、スケジュール調整サーバは利用者の通勤時間帯における混雑状況を把握し、利用者が混雑している状態で通勤しようとしている場合で、かつ、外部サービスプロバイダからのシェアオフィス情報をもとに通勤前の場所付近のシェアオフィスに空室がある場合に、スケジュール調整サーバは混雑状況調整処理を行う。 In view of the above background technology and problems, the present invention is, for example, a schedule adjustment method of a schedule adjustment system composed of a terminal device connected to a network, a schedule adjustment server, and an external service provider. Based on the user's information from the device and the past congestion status from the external service provider, the schedule adjustment server grasps the congestion status during the user's commuting time, and the user is in a congested state. If you are going to work and there is a vacancy in the shared office near the place before commuting based on the shared office information from the external service provider, the schedule adjustment server performs the congestion status adjustment process.
 本明細書において開示される主題の、少なくとも一つの実施の詳細は、添付されている図面と以下の記述の中で述べられる。開示される主題のその他の特徴、態様、効果は、以下の開示、図面、請求項により明らかにされる。 Details of at least one implementation of the subject matter disclosed herein are described in the accompanying drawings and in the description below. Other features, aspects, and effects of the disclosed subject matter are manifested in the disclosures, drawings, and claims below.
 本発明によれば、混雑時間帯における通勤を回避して自由時間を創出できるスケジュール調整を行うことが可能なスケジュール調整方法及びスケジュール調整プログラムを提供できる。 According to the present invention, it is possible to provide a schedule adjustment method and a schedule adjustment program capable of performing schedule adjustment that can create free time while avoiding commuting during busy hours.
実施例におけるスケジュール調整システムの全体構成の一例を示すブロック図である。It is a block diagram which shows an example of the whole structure of the schedule adjustment system in an Example. 実施例におけるスケジュール調整サーバ102のハードウェア構成の一例を示すブロック図である。It is a block diagram which shows an example of the hardware composition of the schedule adjustment server 102 in an Example. 実施例における情報銀行103のハードウェア構成の一例を示すブロック図である。It is a block diagram which shows an example of the hardware composition of the information bank 103 in an Example. 実施例におけるスケジュール調整システムの処理手順の一例を示すシーケンスである。It is a sequence which shows an example of the processing procedure of the schedule adjustment system in an Example. 実施例におけるスケジュール調整サーバの利用者情報保持部に保持される利用者基本情報、利用者スケジュール、実施場所情報の内容の一例を示す図である。It is a figure which shows an example of the contents of the user basic information, the user schedule, and the execution place information held in the user information holding part of the schedule adjustment server in an Example. 実施例におけるスケジュール調整サーバの外部サービス情報保持部に保持される運行情報、ダイヤ情報、シェアオフィス情報、過去の混雑情報の内容の一例を示す図である。It is a figure which shows an example of the contents of the operation information, the timetable information, the shared office information, and the past congestion information held in the external service information holding part of the schedule adjustment server in an Example. 実施例におけるスケジュール調整サーバの混雑情報保持部に保管される混雑情報の内容例の一例を示す図である。It is a figure which shows an example of the content example of the congestion information stored in the congestion information holding part of the schedule adjustment server in an Example. 実施例における、スケジュール調整サーバの混雑状況把握処理の一例を示すフロー図である。It is a flow chart which shows an example of the congestion situation grasp process of the schedule adjustment server in an Example. 実施例における、スケジュール調整サーバのスケジュール調整処理の一例を示すフロー図である。It is a flow chart which shows an example of the schedule adjustment processing of the schedule adjustment server in an Example. 実施例におけるスケジュール調整システムのスケジュールの調整前後のイメージの一例を示す概念図である。It is a conceptual diagram which shows an example of the image before and after the schedule adjustment of the schedule adjustment system in an Example.
 以下、図面を参照して、本発明の実施例について説明する。なお、全図を通じて同一の構成、処理には同一の符号を付し、その重複説明は省略する。 Hereinafter, examples of the present invention will be described with reference to the drawings. The same components and processes are designated by the same reference numerals throughout the drawings, and duplicate description thereof will be omitted.
 本実施例では、各利用者のスケジュールをもとに、利用者が通勤混雑を避けて通勤できるようにスケジュールを調整するシステムについて説明する。 In this embodiment, a system that adjusts the schedule so that the user can commute to work while avoiding commuting congestion will be described based on the schedule of each user.
 図1は、本実施例におけるスケジュール調整システムの全体構成を示すブロック図である。図1において、スケジュール調整システムは、インターネット等のネットワーク105に接続された、複数台の端末装置101と、スケジュール調整サーバ102と、情報銀行103と、外部サービスプロバイダ104から構成されるサービスシステムである。 FIG. 1 is a block diagram showing the overall configuration of the schedule adjustment system in this embodiment. In FIG. 1, the schedule adjustment system is a service system composed of a plurality of terminal devices 101, a schedule adjustment server 102, an information bank 103, and an external service provider 104 connected to a network 105 such as the Internet. ..
 端末装置101は、利用者ごとに保持する装置で、一般的なコンピュータにより実現でき、図は省略するが、演算部、通信部、記憶部、入出力部、位置情報取得部からなる。通信部は、インターネット等のネットワークとの通信を行うことができる。位置情報取得部は、利用者の位置情報を取得するものであり、端末装置101で動作するアプリケーション等で構成される。利用者は、端末装置にインストールされたWebブラウザ及びアプリケーション並びにアドオンを使用して、スケジュール調整システムと情報をやり取りしたり、情報銀行及び外部サービスプロバイダが提供する各種のサービスを利用することができる。 The terminal device 101 is a device held for each user and can be realized by a general computer. Although the figure is omitted, it includes a calculation unit, a communication unit, a storage unit, an input / output unit, and a position information acquisition unit. The communication unit can communicate with a network such as the Internet. The position information acquisition unit acquires the position information of the user, and is composed of an application or the like running on the terminal device 101. The user can exchange information with the schedule adjustment system and use various services provided by the information bank and the external service provider by using the Web browser, the application and the add-on installed in the terminal device.
 外部サービスプロバイダ104は、一般的なサーバ装置により実現でき、サテライトオフィス等の空き情報の確認及び予約の管理、過去の混雑情報の提供、スケジュール管理など、利用者及び他のサービスに対して各種のサービスを提供している。 The external service provider 104 can be realized by a general server device, and can be used for various services such as confirmation of availability information and reservation management of satellite offices, provision of past congestion information, schedule management, and the like. Providing services.
 図2は、本実施例におけるスケジュール調整サーバ102のハードウェア構成を示すブロック図である。図2において、スケジュール調整サーバ102は、一般的なサーバ装置により実現でき、混雑状況を把握したり、混雑状況に応じてスケジュールを調整する演算部201と、混雑状況や利用者情報、外部サービスから取得した情報を記憶する記憶部202と、端末装置101及び情報銀行103及び外部サービスプロバイダ104とネットワーク105を介して情報をやり取りする通信部203と、サーバ管理者からの入力を受け付ける入出力部204からなり、各部はBUS等により接続されている。 FIG. 2 is a block diagram showing the hardware configuration of the schedule adjustment server 102 in this embodiment. In FIG. 2, the schedule adjustment server 102 can be realized by a general server device, from the calculation unit 201 that grasps the congestion status and adjusts the schedule according to the congestion status, the congestion status, the user information, and the external service. A storage unit 202 that stores acquired information, a communication unit 203 that exchanges information with a terminal device 101, an information bank 103, and an external service provider 104 via a network 105, and an input / output unit 204 that receives input from a server administrator. Each part is connected by BUS or the like.
 演算部201は、利用者の情報と外部サービスプロバイダ104から取得した情報から混雑状況を計算する混雑状況把握処理部205と、把握した混雑状況と利用者のスケジュール及び意向とを元に混雑を避けられるように調整する混雑調整処理部206を有する。 The calculation unit 201 avoids congestion based on the congestion status grasping processing unit 205 that calculates the congestion status from the user information and the information acquired from the external service provider 104, and the grasped congestion status and the user's schedule and intention. It has a congestion adjustment processing unit 206 that adjusts so as to be.
 記憶部202は、混雑状況把握処理部205の処理結果である混雑情報を履歴も含めて保持する混雑情報保持部207と、住所や主な通勤手段などの利用者の基本的な情報、利用者のスケジュール、スケジュールが実施される場所の情報を保持する利用者情報保持部208と、外部サービスプロバイダ104から取得した過去の混雑状況やシェアオフィスサービスの所在や空き情報等を保持する外部サービス情報保持部209を有する。 The storage unit 202 includes a congestion information holding unit 207 that holds the congestion information that is the processing result of the congestion status grasping processing unit 205 including a history, basic information of the user such as an address and main commuting means, and a user. User information holding unit 208 that holds information on the schedule and location where the schedule is implemented, and external service information holding that holds past congestion status, location and availability information of shared office services acquired from the external service provider 104, etc. It has a part 209.
 通信部203は、演算部201で処理された結果を、インターネット等のネットワークを介して、端末装置101、情報銀行103、外部サービスプロバイダ104に送信したり、演算部201での処理に必要な情報や記憶部202に保持しておく情報を端末装置101、情報銀行103、外部サービスプロバイダ104から受信する。 The communication unit 203 transmits the result processed by the calculation unit 201 to the terminal device 101, the information bank 103, and the external service provider 104 via a network such as the Internet, or information necessary for processing by the calculation unit 201. And the information stored in the storage unit 202 is received from the terminal device 101, the information bank 103, and the external service provider 104.
 図3は、本実施例における、情報銀行103のハードウェア構成を示すブロック図である。 FIG. 3 is a block diagram showing the hardware configuration of the information bank 103 in this embodiment.
 情報銀行103は、一般的なサーバ装置により実現でき、パーソナルデータを管理する演算部301と、パーソナルデータを保持する記憶部302と、端末装置101及びスケジュール調整サーバ102及び外部サービスプロバイダ104とネットワーク105を介して情報をやり取りする通信部303と、情報銀行103の管理者からの入力を受け付ける入出力部304からなり、各部はBUS等により接続されている。 The information bank 103 can be realized by a general server device, and has a calculation unit 301 for managing personal data, a storage unit 302 for holding personal data, a terminal device 101, a schedule adjustment server 102, an external service provider 104, and a network 105. It is composed of a communication unit 303 for exchanging information via the information bank 103 and an input / output unit 304 for receiving input from the administrator of the information bank 103, and each unit is connected by a BUS or the like.
 演算部301は、端末装置101を用いて利用者とパーソナルデータをやり取りしたり、利用者との契約に基づいてスケジュール調整サーバ102及び外部サービスプロバイダ104とパーソナルデータをやり取りする情報連携部305と、利用者との契約に基づいて、アクセス制御や情報収集期間の制御や情報の削除等を行うパーソナルデータ管理部306を有する。 The calculation unit 301 includes an information cooperation unit 305 that exchanges personal data with the user using the terminal device 101 and exchanges personal data with the schedule adjustment server 102 and the external service provider 104 based on the contract with the user. It has a personal data management unit 306 that controls access, controls the information collection period, deletes information, and the like based on a contract with a user.
 記憶部302は、情報連携部305の処理の結果得られたパーソナルデータを保持するパーソナルデータ保持部307を有する。 The storage unit 302 has a personal data holding unit 307 that holds personal data obtained as a result of the processing of the information linking unit 305.
 通信部303は、演算部301で処理された結果を、インターネット等のネットワークを介して、端末装置101、スケジュール調整サーバ102、外部サービスプロバイダ104に送信したり、演算部301での処理に必要な情報や記憶部302に保持しておく情報を端末装置101、スケジュール調整サーバ102、外部サービスプロバイダ104から受信する。 The communication unit 303 transmits the result processed by the calculation unit 301 to the terminal device 101, the schedule adjustment server 102, and the external service provider 104 via a network such as the Internet, or is required for processing by the calculation unit 301. Information and information stored in the storage unit 302 are received from the terminal device 101, the schedule adjustment server 102, and the external service provider 104.
 なお、演算部201及び演算部301で実行される各種のプログラム、またはその一部を、「部」、「ユニット」、「手段」、「機能」、「モジュール」等と呼称する場合がある。また、本実施例の構成は、CPU、メモリ、外部記憶装置等からなる単体のコンピュータで構成してもよいし、あるいは、入力装置、出力装置、処理装置、記憶装置の任意の部分がネットワークで接続された、複数のコンピュータで構成されてもよい。 Note that various programs executed by the calculation unit 201 and the calculation unit 301, or a part thereof, may be referred to as "part", "unit", "means", "function", "module" or the like. Further, the configuration of this embodiment may be configured by a single computer including a CPU, a memory, an external storage device, or the like, or any part of the input device, output device, processing device, storage device, etc. may be connected to a network. It may consist of a plurality of connected computers.
 上記構成において、CPUがメモリ上にロードされた所定のプログラムを実行することにより、演算部201及び演算部301の処理を実現できる。すなわち、通信部203及び303は、CPUが通信装置を利用することにより実現できる。入出力部204及び304は、CPUが入力装置や出力装置を利用することにより実現される。また、記憶部202及び302は、CPUがメモリや外部記憶装置を利用することにより実現される。また演算部201及び301は、CPUのプロセスとして実現される。 In the above configuration, the processing of the arithmetic unit 201 and the arithmetic unit 301 can be realized by the CPU executing a predetermined program loaded in the memory. That is, the communication units 203 and 303 can be realized by the CPU using the communication device. The input / output units 204 and 304 are realized by the CPU using an input device or an output device. Further, the storage units 202 and 302 are realized by the CPU using a memory or an external storage device. Further, the calculation units 201 and 301 are realized as CPU processes.
 これらのプログラムは、あらかじめ上記コンピュータのメモリまたは外部記憶装置に格納されていてもよいし、必要な時に、上記コンピュータが利用可能な着脱可能な記憶媒体から、または通信媒体(ネットワーク105など、またはそれらの上の伝搬する搬送波やデジタル信号など)を介して他の装置から、導入されてもよい。 These programs may be pre-stored in the computer's memory or external storage, and when needed, from removable storage media available to the computer, or from communication media (such as the network 105, or them). It may be introduced from other devices via a carrier wave or digital signal propagating over it.
 また、記憶部202及び記憶部302で記憶するデータの大きさやフォーマット等に応じてRDB(Relational Database)やファイルサーバ、KVS(Key-Value Store)等、それぞれ異なる記憶方式を備えた複数の記憶部により構成されていてもよい。また記憶されているデータと同等のデータの一部または全部は、インターネット等のネットワーク105に接続されたその他の複数のサーバから、または、着脱可能な記憶媒体により、提供されていてもよい。 Further, a plurality of storage units having different storage methods such as RDB (Relational Database), file server, KVS (Key-Value Store), etc., depending on the size and format of the data stored in the storage unit 202 and the storage unit 302. It may be composed of. Further, a part or all of the data equivalent to the stored data may be provided from a plurality of other servers connected to the network 105 such as the Internet, or by a removable storage medium.
 また、図2及び図3に示す各構成要素は、物理的に分離している必要はなく、一つの構成要素が他を兼ねてもよい。 Further, each component shown in FIGS. 2 and 3 does not need to be physically separated, and one component may also serve as the other.
 図4は、本実施例におけるスケジュール調整システムの処理手順を示すシーケンスである。すなわち、スケジュール調整システムが利用者から情報を取得して混雑状況を把握し、混雑を避けるようにスケジュールを調整する一連の処理の流れを示している。 FIG. 4 is a sequence showing the processing procedure of the schedule adjustment system in this embodiment. That is, it shows a series of processing flows in which the schedule adjustment system acquires information from the user, grasps the congestion status, and adjusts the schedule so as to avoid congestion.
 図4において、まず利用者は自身の端末装置101を用いて、情報銀行103に自身の情報を登録したり、どのサービスに自身の情報の使用を許可するか等の設定を行い、情報銀行103は、パーソナルデータ保持部307に情報を記憶する(S401)。なお、ステップS401は、利用者が新たなサービスの利用を開始したタイミングなど利用者が希望する任意のタイミングで実施してよい。 In FIG. 4, the user first uses his / her own terminal device 101 to register his / her own information in the information bank 103, set which service is permitted to use his / her own information, and the like, and then sets the information bank 103. Stores information in the personal data holding unit 307 (S401). Note that step S401 may be performed at any timing desired by the user, such as when the user starts using a new service.
 次に、利用者は自身の端末装置101を用いて、外部サービスプロバイダ104が提供するパーソナルデータを用いたサービスを利用する(S402)。外部サービスプロバイダは様々なサービスを提供しており、例えば、スケジュール共有サービスや、ルート案内サービスなどがある。なお、ステップS402は利用者が外部サービスの利用を希望する任意のタイミングで実施してよい。 Next, the user uses his / her own terminal device 101 to use the service using the personal data provided by the external service provider 104 (S402). External service providers provide various services, such as schedule sharing services and route guidance services. Note that step S402 may be performed at any time when the user desires to use the external service.
 次に、外部サービスプロバイダ104は、サービスの利用履歴や、サービス利用時に利用者が入力した情報や保存した情報を情報銀行103に提供し、情報銀行103はパーソナルデータ保持部307に提供されたデータを記憶する(S403)。なお、ステップS403は、日時、週次、情報変更があったタイミングなど、情報銀行103と外部サービスプロバイダ104と利用者の間で取り決めたタイミングで実施してよい。 Next, the external service provider 104 provides the service usage history, the information input by the user at the time of using the service, and the stored information to the information bank 103, and the information bank 103 provides the data provided to the personal data holding unit 307. Is memorized (S403). Note that step S403 may be performed at a timing agreed between the information bank 103, the external service provider 104, and the user, such as the date and time, weekly, and the timing when the information is changed.
 次に、情報銀行103は、パーソナルデータ保持部307に保持しているパーソナルデータのうち、スケジュール調整に必要な、後述する利用者基本情報501及び利用者スケジュール502及び実施場所情報503をスケジュール調整サーバ102に送信し、スケジュール調整サーバ102は、利用者情報保持部208に受信した情報を記憶する(S404)。なお、利用者基本情報501、利用者スケジュール502、実施場所情報503の各情報はスケジュール調整サーバ102が端末装置101を経由して利用者から直接入手してもよい。また、情報銀行103の利用者ではあるが、スケジュール調整システムの利用者ではない場合でも、スケジュール調整システムへの情報提供を許可している利用者の情報を情報銀行103から取得することができる。なお、ステップS404は日次、週次、情報変更があったタイミングや利用者からの要求があったタイミングなどで実施してよい。 Next, the information bank 103 sets the schedule adjustment server for the user basic information 501, the user schedule 502, and the implementation location information 503, which will be described later, among the personal data held in the personal data holding unit 307, which are necessary for schedule adjustment. The information is transmitted to 102, and the schedule adjustment server 102 stores the received information in the user information holding unit 208 (S404). The information of the user basic information 501, the user schedule 502, and the implementation location information 503 may be directly obtained from the user by the schedule adjustment server 102 via the terminal device 101. Further, even if the user of the information bank 103 is not the user of the schedule adjustment system, the information of the user who is permitted to provide the information to the schedule adjustment system can be obtained from the information bank 103. It should be noted that step S404 may be carried out daily, weekly, at the timing when the information is changed, at the timing when the user requests it, or the like.
 次に、スケジュール調整サーバ102は、外部サービスプロバイダ104から過去の混雑情報605を取得し、外部サービス情報保持部209に記憶する(S405)。 Next, the schedule adjustment server 102 acquires the past congestion information 605 from the external service provider 104 and stores it in the external service information holding unit 209 (S405).
 次に、スケジュール調整サーバ102は、記憶部202の利用者情報保持部208に記憶されている、利用者基本情報501、利用者スケジュール502、実施場所情報503の各情報及び過去の混雑情報605の情報をもとに、後述する図8に示す処理を実施して混雑情報701を作成し、混雑情報保持部207に記憶する。(S406)。なおステップS406は日次や週次、利用者スケジュールの更新が行われたタイミングなどで実施してもよい。 Next, the schedule adjustment server 102 stores the basic user information 501, the user schedule 502, the implementation location information 503, and the past congestion information 605 stored in the user information holding unit 208 of the storage unit 202. Based on the information, the processing shown in FIG. 8 described later is performed to create the congestion information 701, which is stored in the congestion information holding unit 207. (S406). Note that step S406 may be performed daily, weekly, or at the timing when the user schedule is updated.
 次に、スケジュール調整サーバ102は、外部サービスプロバイダ104から施設の場所や空室状況を含む、後述するシェアオフィス情報603を取得し、外部サービス情報保持部209に記憶する(S407)。なお、ステップS407は、日次、週次、情報変更があったタイミングや、利用者からの要求があったタイミングなどで実施してもよい。また、取得する情報は追加や変更があった情報のみとしてもよい。 Next, the schedule adjustment server 102 acquires the shared office information 603, which will be described later, including the location and vacancy status of the facility from the external service provider 104, and stores it in the external service information holding unit 209 (S407). Note that step S407 may be performed daily, weekly, at the timing when information is changed, at the timing when there is a request from the user, or the like. In addition, the information to be acquired may be only the information that has been added or changed.
 次に、スケジュール調整サーバ102は、記憶部202に保持されている情報を用いて、後述する図9のステップS901からステップS908に示す処理を行い、利用者ごとに、混雑調整内容として、シェアオフィス等で勤務する時間帯及び新たな通勤時間を決定する。(S408)なお、ステップS408は日次、週次、利用者からの要求があったタイミング、事前に利用者が設定したタイミング、混雑情報701の混雑率が一定の値を超えたまたは下回ったタイミング等で実施してもよい。 Next, the schedule adjustment server 102 performs the processes shown in steps S901 to S908 of FIG. 9, which will be described later, using the information stored in the storage unit 202, and the shared office is used as the congestion adjustment content for each user. Determine the working hours and new commuting hours. (S408) In step S408, daily, weekly, timing requested by the user, timing set by the user in advance, timing when the congestion rate of the congestion information 701 exceeds or falls below a certain value. Etc. may be carried out.
 次に、スケジュール調整サーバ102はシェアオフィス等で勤務する時間帯及び新たな通勤時間を端末装置101を使用して利用者に提示する(S409)。なお、利用者に提示する方法は、専用のアプリまたはWebブラウザまたは他のサービスのアプリやWebブラウザへのアドオン等を利用することができる。 Next, the schedule adjustment server 102 presents the time zone for working in the shared office or the like and the new commuting time to the user using the terminal device 101 (S409). As a method of presenting to the user, a dedicated application, a Web browser, an application of another service, an add-on to the Web browser, or the like can be used.
 次に、端末装置101を使用する利用者は、提示されたスケジュールの承認または拒否を決定し、その結果をスケジュール調整サーバ102に送信する(S410)。なお、本処理は利用者の状況に合わせて、週末や予定を変更したタイミング、業務の合間など、任意のタイミングで行ってよい。なお、利用者がスケジュール調整サーバ102に結果を送信する方法は、専用のアプリまたはWebブラウザまたは他のサービスのアプリやWebブラウザへのアドオン等を利用することができる。 Next, the user who uses the terminal device 101 decides to approve or reject the presented schedule, and transmits the result to the schedule adjustment server 102 (S410). It should be noted that this process may be performed at any time, such as on weekends, when the schedule is changed, or between work, according to the user's situation. As a method for the user to send the result to the schedule adjustment server 102, a dedicated application, a Web browser, an application of another service, an add-on to the Web browser, or the like can be used.
 次に、スケジュール調整サーバ102は、利用者が示した、承認または拒否の結果をもとに、後述する図9のステップS911またはS912の処理を行い、後述する利用者スケジュール502及びシェアオフィス情報603を更新する(S411)。 Next, the schedule adjustment server 102 performs the process of step S911 or S912 of FIG. 9 described later based on the result of approval or rejection indicated by the user, and the user schedule 502 and shared office information 603 described later Is updated (S411).
 最後に、スケジュール調整サーバ102は、外部サービスプロバイダ104及び情報銀行103にシェアオフィスの使用有無、スケジュールの変更内容を送信する(S412、S413)。情報銀行103および外部サービスプロバイダ104は受信した情報を記憶する。 Finally, the schedule adjustment server 102 transmits to the external service provider 104 and the information bank 103 whether or not the shared office is used and the contents of the schedule change (S412, S413). The information bank 103 and the external service provider 104 store the received information.
 次に、図5を用いて、本実施例におけるスケジュール調整サーバ102の利用者情報保持部208が保持する情報のデータ構造について説明する。図5に示した、利用者基本情報501と、利用者スケジュール502と、実施場所情報503は、ある一人の利用者についての利用者情報の構造例である。データベース上には、これらの情報が少なくとも利用者の人数分存在することとなる。また、各設定項目は情報銀行103から自動的に取得されてもよいし、利用者が端末装置101からスケジュール調整サーバ102にアクセスして個別に設定してもよい。 Next, the data structure of the information held by the user information holding unit 208 of the schedule adjustment server 102 in this embodiment will be described with reference to FIG. The user basic information 501, the user schedule 502, and the implementation location information 503 shown in FIG. 5 are structural examples of user information for a certain user. This information exists in the database for at least the number of users. Further, each setting item may be automatically acquired from the information bank 103, or the user may access the schedule adjustment server 102 from the terminal device 101 and set it individually.
 図5において、(a)利用者基本情報501は、[住所]、[主な通勤手段]、[自宅最寄り駅]、[勤務先最寄駅]、[通勤経路]、[勤務形態]、[標準通勤時間]、[標準乗車時間]、[定期的な予定]、[スケジュール変更の意向]の項目が含まれる。 In FIG. 5, (a) basic user information 501 includes [address], [main means of commuting], [station closest to home], [station closest to work], [commuting route], [working style], [ Includes items such as [Standard Commuting Time], [Standard Boarding Time], [Regular Schedule], and [Intention to Change Schedule].
 [住所]の項目は利用者の住所が設定される項目であり、例えば、市区町村や町域、丁目番地、建物名、号室などが設定される。なお、郵便番号や都道府県名が設定されていてもよい。 The [Address] item is an item in which the user's address is set. For example, the city, ward, town, village, town area, street address, building name, room number, etc. are set. A postal code or a prefecture name may be set.
 [主な通勤手段]は通勤に使用する交通手段が設定される。例えば、電車、バス、などの公共交通機関や、自家用車、徒歩、自転車などの項目が設定できる。 [Main means of commuting] sets the means of transportation used for commuting. For example, items such as public transportation such as trains and buses, private cars, walking, and bicycles can be set.
 [自宅最寄り駅]、[勤務先最寄り駅]、[通勤経路]は、[主な通勤手段]で電車やバスなどの公共交通機関を選択した場合に設定する項目であり、駅名、路線名を設定する。なお、複数の勤務先がある場合は、勤務先ごとに設定することができる。また、主な通勤手段として自家用車、徒歩、自転車などを選択した場合には、[勤務先最寄り駅]ではなく、勤務先住所を設定したり、[通勤経路]として道路のルートを設定することができる。 [Station closest to home], [Station closest to work], and [Commuting route] are items to be set when public transportation such as train or bus is selected in [Main means of commuting], and the station name and route name are set. Set. If there are multiple offices, it can be set for each office. Also, if you select a private car, walk, bicycle, etc. as the main means of commuting, set the work address instead of [the nearest station to work], or set the road route as [commuting route]. Can be done.
 [勤務形態]は、フレックスやシフトタイム、裁量勤務、などの勤務形態を設定することができる。なお、フレックスの場合はコアタイムを設定したり、シフト勤務の場合は、2交代、3交代、交代ごとの時間を設定することができる。 [Working style] can set working styles such as flex, shift time, and discretionary work. In the case of flex, the core time can be set, and in the case of shift work, the time can be set for 2 shifts, 3 shifts, and each shift.
 [標準通勤時間]は利用者が通勤する時間のうち、出張や半日休日、遅参、早退などの標準ではない時間を除いた、標準的な時間を設定する。図では、通勤に一時間かかることとし、往路を7:30~8:30、復路を17:30~18:30とした場合の例を示している。なお、シフトタイム制で複数の標準通勤時間がある場合には、複数登録してもよい。 [Standard commuting time] sets the standard time for the user to commute, excluding non-standard times such as business trips, half-day holidays, late arrivals, and early departures. The figure shows an example in which it takes one hour to commute, the outbound route is from 7:30 to 8:30, and the return route is from 17:30 to 18:30. If there are multiple standard commuting hours in the shift time system, multiple registrations may be made.
 [標準乗車時間]は[標準通勤時間]として利用者が通勤している時間のうち、電車やバスに乗車している時間である。 [Standard boarding time] is the time when the user is commuting to work as [Standard commuting time] and is boarding a train or bus.
 [定期的な予定]は、利用者が日次、週次、月次で実施する定期的な予定について、予定の名称と、時間と、繰り返しの類型とを設定する。この予定は業務に関する予定でもよいし、個人的な予定でもよい。業務に関するものとしては、朝礼、定例会議、夕礼などが考えられる。個人的な定期的な予定としては保育園の送り迎えや、趣味の習い事(フィットネス、料理教室など)、介護などの予定などが考えられる。 [Regular schedule] sets the name and time of the schedule and the type of repetition for the regular schedule that the user carries out on a daily, weekly, or monthly basis. This appointment may be a business appointment or a personal appointment. As for business, morning assembly, regular meetings, evening meetings, etc. can be considered. Personal regular schedules include pick-up and drop-off at nursery schools, hobby lessons (fitness, cooking classes, etc.), and long-term care schedules.
 [スケジュール変更の意向]は、通勤混雑が予想されて通勤時間を変更する際に、通勤時間を前倒しにしたい、後ろ倒しにしたいなど、利用者の意向を設定する項目である。 [Intention to change schedule] is an item to set the user's intention, such as wanting to move the commuting time forward or backward when changing the commuting time due to expected commuting congestion.
 なお、[主な通勤手段]、[自宅最寄り駅]、[勤務先最寄り駅]、[通勤経路]、[勤務形態]は、サーバ管理者が事前に設定した値から利用者が選択することで設定できるようになっていてもよい。 The [Main means of commuting], [Station closest to home], [Station closest to work], [Commuting route], and [Working style] can be selected by the user from the values preset by the server administrator. It may be possible to set.
 図5において、(b)利用者スケジュール502は、[実施期間(開始/終了日次)][スケジュール名][実施場所名]の項目が含まれる。 In FIG. 5, (b) user schedule 502 includes items of [implementation period (start / end date)], [schedule name], and [implementation place name].
 [実施期間(開始/終了日次)]はスケジュールごとに日付及び時間を設定する。 [Implementation period (start / end date)] sets the date and time for each schedule.
 [スケジュール名]は利用者が入力したスケジュールの名称が設定される。なお、通勤やフィットネスなど、利用者基本情報501から推測可能な定期的なスケジュールはシステムが自動的に入力してもよい。 The name of the schedule entered by the user is set in [Schedule name]. The system may automatically input a regular schedule that can be inferred from the user basic information 501 such as commuting and fitness.
 [実施場所名]は利用者が入力したスケジュールの実施場所の名称が設定される。例では、会議室の名称である「会議室A」及びスポーツジムの名称である「Aスポーツジム」が例示されている。なお、[スケジュール名]が「通勤」の場合など、実施場所がない場合は設定されない。 [Implementation location name] is set to the name of the implementation location of the schedule entered by the user. In the example, "meeting room A" which is the name of the conference room and "A sports gym" which is the name of the sports gym are exemplified. If there is no place to carry out, such as when [Schedule name] is "Commuting", it will not be set.
 図5において、(c)実施場所情報503は、[実施場所名][住所]の項目が含まれる。 In FIG. 5, (c) implementation location information 503 includes items of [implementation location name] and [address].
 [実施場所名]は利用者スケジュール502で設定された実施場所名が設定される。 [Implementation location name] is set to the implementation location name set in the user schedule 502.
 [住所]は実施場所名の所在地が設定される。例えば、市区町村や町域、丁目番地、建物名、号室などが設定される。なお、郵便番号や都道府県名が設定されていてもよい。なお、利用者の保持する端末装置101の位置情報取得部から取得された緯度経度情報が入力されていてもよい。 [Address] is set to the location of the place of implementation. For example, a city, ward, town, town area, street address, building name, room number, etc. are set. A postal code or a prefecture name may be set. The latitude / longitude information acquired from the position information acquisition unit of the terminal device 101 held by the user may be input.
 次に、図6を用いて、本実施例におけるスケジュール調整サーバ102の外部サービス情報保持部209が保持する情報のデータ構造について説明する。図6に示した通り、外部サービス情報保持部209には、運行情報601、運行計画情報602(以下、運行計画をダイヤという)、シェアオフィス情報603、空室状況604、過去の混雑情報605の情報が保持される。 Next, the data structure of the information held by the external service information holding unit 209 of the schedule adjustment server 102 in this embodiment will be described with reference to FIG. As shown in FIG. 6, the external service information holding unit 209 includes operation information 601, operation plan information 602 (hereinafter, operation plan is referred to as a timetable), shared office information 603, vacancy status 604, and past congestion information 605. Information is retained.
 図6において、(a)運行情報601は、[列車番号][定員][ダイヤへのリンク][路線名]の項目が含まれる。 In FIG. 6, (a) operation information 601 includes items of [train number], [capacity], [link to timetable], and [route name].
 [列車番号]の項目は運行する列車を区別するための情報が設定される。図では「0001A」「0003B」と記しているが、他の数字や記号を用いてよく、鉄道各社ごとに異なる形式で設定されてもよい。 Information for distinguishing the operating trains is set in the [Train number] item. Although it is described as "0001A" and "0003B" in the figure, other numbers and symbols may be used, and it may be set in a different format for each railway company.
 [定員]は列車ごとの定員が設定される。定員は、車両編成や座席、立席の配置方法に応じて設定される。 [Capacity] is set for each train. The capacity is set according to the vehicle formation, seats, and standing arrangement method.
 [ダイヤへのリンク]は当該列車がどのダイヤ情報602に基づいて運行するかの参照である。 [Link to timetable] is a reference of which timetable information 602 the train operates based on.
 [路線名]は、当該列車がどの路線を走行するかの情報が設定される。なお、直通運転により、複数の路線を走る場合は、複数の路線が設定されてもよい。 In [Route name], information on which route the train runs is set. When traveling on a plurality of routes by direct operation, a plurality of routes may be set.
 図6において、(b)ダイヤ情報602は、[駅名][到着時刻][発車時刻]の項目が含まれる。ダイヤ情報602は、ある1つの列車についてのデータ構造例である。データベース上には、これらのデータが少なくとも列車数分存在することとなる。なお、ダイヤ情報602は列車ごとにユニークな識別子を持ち、運行情報601において[ダイヤへのリンク]として一つの識別子を設定することで、列車ごとのダイヤ情報を参照することができる。 In FIG. 6, (b) timetable information 602 includes items of [station name], [arrival time], and [departure time]. The timetable information 602 is an example of a data structure for a certain train. These data will exist in the database for at least the number of trains. The timetable information 602 has a unique identifier for each train, and by setting one identifier as [link to the timetable] in the operation information 601 it is possible to refer to the timetable information for each train.
 [駅名]は、当該列車の到着、または、出発、通過等に関わる駅名である。 [Station name] is the name of the station related to the arrival, departure, passage, etc. of the train.
 [到着時刻]は当該列車が当該駅に到着する時刻である。なお、通過等で到着時刻がない場合、例えば「*」等、データがないことを示すマークが入力される。 [Arrival time] is the time when the train arrives at the station. If there is no arrival time due to passing or the like, a mark indicating that there is no data such as "*" is input.
 [発車時刻]は当該列車が当該駅を発車する時刻が設定される。発車時刻には通過時刻を含んでもよい。なお、図6(b)には設けていないが、発車時刻とは別に通過時刻のデータを有してもよい。図6(b)のダイヤ情報602では、A駅始発の列車が8:00:00に発車し、B駅8:02:00に到着し、B駅を8:02:50に発車することが示されている。なお、601および602では「・・・」として省略しているが、実際には、当該列車の到着、または、出発、通過等に係る駅の情報を示す行が存在している。 [Departure time] is set to the time when the train departs from the station. The departure time may include the transit time. Although not provided in FIG. 6B, the transit time data may be provided separately from the departure time. According to the timetable information 602 of FIG. 6B, the first train at station A departs at 8:00, arrives at station B at 8:00:02, and departs station B at 8:02:50. It is shown. Although omitted as "..." in 601 and 602, there is actually a line indicating station information related to the arrival, departure, passage, etc. of the train.
 図6において、(c)シェアオフィス情報603は、[シェアオフィス名][住所][空室状況へのリンク][予約サイトURL]の項目が含まれる。 In FIG. 6, (c) shared office information 603 includes items of [shared office name], [address], [link to availability], and [reservation site URL].
 [シェアオフィス名]の項目はシェアオフィスの名称が設定される。例えば、「シェアオフィスA」や「シェアオフィスB」などが設定される。 The name of the shared office is set in the [Shared office name] item. For example, "shared office A" or "shared office B" is set.
 [住所]の項目は当該シェアオフィスの所在地が設定される項目であり、例えば、市区町村や町域、丁目番地、建物名、号室などが設定される。なお、郵便番号や都道府県名が設定されていてもよい。 The item of [Address] is an item in which the location of the shared office is set. For example, a city, ward, town, village, town area, street address, building name, room number, etc. are set. A postal code or a prefecture name may be set.
 [空室状況へのリンク]の項目は当該シェアオフィスにおける各スペースの空室状況への参照が設定される。 The item of [Link to vacancy status] is set to refer to the vacancy status of each space in the shared office.
 [予約サイトURL]の項目は当該シェアオフィスの予約サイトのURLが設定される。 The URL of the reservation site of the shared office is set in the [Reservation site URL] item.
 なお、当該シェアオフィスがAPIを公開している場合はAPIの情報を保持してもよい。 If the shared office publishes the API, the API information may be retained.
 図6において、(d)空室状況604には、[スペースID][空室日時][スペース類型]の項目が含まれる。空室状況はある1つのシェアオフィスについての構造例である。データベース上には、これらのデータが少なくともシェアオフィスの数分存在することとなる。なお、空室状況はシェアオフィスごとにユニークな識別子を持ち、シェアオフィス情報603において[空室状況へのリンク]として一つの識別子を設定することで、シェアオフィスごとの空室状況を参照することができる。 In FIG. 6, (d) vacancy status 604 includes items of [space ID], [vacancy date / time], and [space type]. Vacancy is an example of a structure for a shared office. There will be at least a few minutes of these data in the database for shared offices. The vacancy status has a unique identifier for each shared office, and by setting one identifier as [link to vacancy status] in the shared office information 603, the vacancy status for each shared office can be referred to. Can be done.
 [スペースID]は、あるシェアオフィス等において、予約が可能な場所それぞれにつけられたユニークな識別子である。例えば、座席の一つ一つや、個室の一つ一つにスペースIDがつけられる。なお、スペースIDはシェアオフィス等を提供する各社で異なっていてもよい。 [Space ID] is a unique identifier assigned to each place where reservations can be made in a certain shared office or the like. For example, a space ID is assigned to each seat and each private room. The space ID may be different for each company that provides the shared office or the like.
 [空室日時]は当該スペースIDの座席または個室が空いており、使用可能な日次のリストである。例えば、図6(d)においては、ROOM1が2018/12/1の7:00から9:00と13:00から17:00時間は空室であり、予約可能であることを示している。 [Vacancy date and time] is a daily list of available seats or private rooms with the space ID. For example, in FIG. 6D, it is shown that ROOM1 is vacant from 7:00 to 9:00 and 13:00 to 17:00 on December 1, 2018, and can be reserved.
 [スペース類型]は当該スペースIDのスペースが個室または共有スペースまたは会議室など、どのような性質の部屋かが設定されている。 In [Space type], the nature of the space with the space ID, such as a private room, a shared space, or a conference room, is set.
 図6において、(e)過去の混雑情報605は、[路線名][区間][ピーク時の混雑率][ピーク時間帯]の項目が含まれる。これらの情報により、区間ごとの混雑率と混雑が発生した時間帯を取得することができる。 In FIG. 6, (e) past congestion information 605 includes items of [route name], [section], [congestion rate at peak time], and [peak time zone]. From this information, it is possible to acquire the congestion rate for each section and the time zone when congestion occurred.
 [路線名]は、混雑情報が示される路線の名称が設定される。 In [Route name], the name of the route on which congestion information is shown is set.
 [区間]は、混雑率の計測対象とした駅の区間を設定する。区間の設定方法は調査方法や調査会社によって異なる場合が想定され、隣り合う二つの駅で設定されてもよいし、複数の駅をまたいで設定されてもよい。 [Section] sets the section of the station for which the congestion rate is measured. It is assumed that the section setting method may differ depending on the survey method and the survey company, and may be set at two adjacent stations or may be set across a plurality of stations.
 [ピーク時の混雑率]は、当該路線における当該区間のピーク時の混雑率を示したものである。
  [ピーク時間帯]は当該路線における当該区間において、[ピーク時の混雑率]となる時間帯を設定する。
[Peak-time congestion rate] indicates the peak-time congestion rate of the section on the route.
[Peak time zone] sets a time zone that becomes [congestion rate at peak time] in the relevant section of the route.
 次に、図7を用いて、本実施例におけるスケジュール調整サーバ102の混雑情報保持部207が保持する情報のデータ構造について説明する。図7に示した通り、混雑情報保持部207には、混雑情報701の情報が保持される。 Next, the data structure of the information held by the congestion information holding unit 207 of the schedule adjustment server 102 in this embodiment will be described with reference to FIG. 7. As shown in FIG. 7, the congestion information holding unit 207 holds the information of the congestion information 701.
 図7において、混雑情報701は[路線名][列車番号][区間][混雑率][発車時刻][到着時刻][変更履歴]の項目が含まれる。この混雑情報は利用者のスケジュールに基づいて作成されるため、日付ごとに異なるものが作成される。混雑情報701の例では、ある1日分の混雑情報が示されているが、混雑情報保持部には、事前に設定された日付分、例えば1か月分の混雑情報が保持される。 In FIG. 7, the congestion information 701 includes items of [route name], [train number], [section], [congestion rate], [departure time], [arrival time], and [change history]. Since this congestion information is created based on the user's schedule, different information is created for each date. In the example of the congestion information 701, the congestion information for a certain day is shown, but the congestion information holding unit holds the congestion information for a preset date, for example, one month.
 [路線名]は、当該列車がどの路線を走行するかの情報が設定される。なお、直通運転により、複数の路線を走る場合は、複数の路線が設定されてもよい。 In [Route name], information on which route the train runs is set. When traveling on a plurality of routes by direct operation, a plurality of routes may be set.
 [列車番号]の項目は運行する列車を区別するための情報が設定される。例では「0001A」「0002C」と記しているが、他の数字や記号を用いてよく、鉄道各社ごとに異なる形式で設定されてもよい。 Information for distinguishing the operating trains is set in the [Train number] item. In the example, "0001A" and "0002C" are written, but other numbers and symbols may be used, and they may be set in different formats for each railway company.
 [区間]は混雑率の計算対象とした駅の区間を設定する。なお、原則として、区間はある駅を出発してから次に停車する駅までの区間を設定する。例えば各駅停車の列車であれば隣り合う駅が設定され、急行や特急列車であれば、複数の駅をまたいだ駅が設定される。なお、急行や特急列車かどうかは、ダイヤ情報602において通過駅があるかどうかで判断できる。 [Section] sets the section of the station for which the congestion rate is calculated. As a general rule, the section is set from the departure of a certain station to the next stop. For example, if the train stops at each station, adjacent stations are set, and if it is an express or limited express train, a station that straddles multiple stations is set. Whether it is an express train or a limited express train can be determined by whether or not there is a passing station in the timetable information 602.
 [混雑率]は当該路線における当該区間の混雑率を示したものである。
[発車時刻]は当該列車が当該区間の発車駅を発車する時刻が設定される。
[到着時刻]は当該列車が当該区間の到着駅に到着する時刻が設定される。
[Congestion rate] indicates the congestion rate of the section on the route.
[Departure time] is set to the time when the train departs from the departure station of the section.
In [Arrival time], the time when the train arrives at the arrival station in the section is set.
 [変更履歴]は、混雑情報が変更された履歴情報を保持する。図7の一列目では、2019/3/18に混雑率が198であったことが示されている。なお、混雑情報の変更は一日に複数回行われてもよく、その場合、変更履歴には時間も加えて設定する。 [Change history] retains history information in which congestion information has been changed. In the first row of FIG. 7, it is shown that the congestion rate was 198 on March 18, 2019. The congestion information may be changed multiple times a day, and in that case, the change history is set by adding time.
 次に図8に、本実施例における、スケジュール調整サーバ102の混雑状況把握処理部205がステップS406において、利用者基本情報501、利用者スケジュール502、実施場所情報503の各種情報及び運行情報601、ダイヤ情報602、過去の混雑情報605をもとに混雑情報を作成する処理を示す。 Next, in FIG. 8, in step S406, the congestion status grasping processing unit 205 of the schedule adjustment server 102 in this embodiment sets the user basic information 501, the user schedule 502, various information of the implementation location information 503, and the operation information 601. The process of creating congestion information based on the timetable information 602 and the past congestion information 605 is shown.
 図8において、まず、すべての利用者の利用者基本情報501の、通勤情報である、[主な通勤手段]と[通勤経路]と[標準乗車時間]と、利用者スケジュール502のスケジュール名が「通勤」のスケジュールを取得する(S801)なお、本ステップで取得するスケジュールの範囲は混雑情報を計算したい期間分でよく、例えば、1週間分や1か月分を取得する。 In FIG. 8, first, the [main commuting means], [commuting route], [standard boarding time], and the schedule name of the user schedule 502, which are commuting information of the user basic information 501 of all users, are shown. Acquiring the "commuting" schedule (S801) The range of the schedule acquired in this step may be the period for which the congestion information is to be calculated, and for example, one week's worth or one month's worth is acquired.
 次に、運行情報601とダイヤ情報602とを取得し、[主な通勤手段]が「電車」の利用者の[標準乗車時間]と[経路情報]とを比較して、すべての利用者について、乗車する列車の[列車番号]およびダイヤ情報602のうち乗車する区間を特定する(S802)。 Next, the operation information 601 and the timetable information 602 are acquired, and the [standard boarding time] and the [route information] of the users whose [main commuting means] is "train" are compared, and all the users , [Train number] of the train to be boarded, and the section to be boarded in the timetable information 602 (S802).
 次に、ダイヤ情報602のすべてのダイヤについて、ステップS803からステップS805の処理を行う。すなわち、ステップS803において、駅と駅の間の乗車人数を計算する。次に、ステップS804において、ステップS803で求めた乗車人数を列車ごとの[定員]で除算し、混雑率を計算する。なお、システムが稼働してから間もないなど、実際の乗車人数より、スケジュール調整システムの利用者が少ない場合、過去の混雑率を一定の割合で反映する。反映の方法としては、過去の乗車人数の情報が取得できる場合は、スケジュール調整システムの利用者と過去の乗車人数との割合を求めて、求めた割合に応じて混雑率を増加させることができる。また、実際の乗車人数の情報が得られなかった場合でも例えば、3割など一定の割合で反映することもできる。次に、ステップS805において、ステップS804で計算した混雑率を混雑情報保持部に追加する。 Next, the processes of steps S803 to S805 are performed for all the diamonds of the diamond information 602. That is, in step S803, the number of passengers between stations is calculated. Next, in step S804, the number of passengers obtained in step S803 is divided by the [capacity] for each train to calculate the congestion rate. If the number of users of the schedule adjustment system is smaller than the actual number of passengers, such as when the system has just started operating, the past congestion rate will be reflected at a fixed rate. As a reflection method, if information on the number of passengers in the past can be obtained, the ratio between the users of the schedule adjustment system and the number of passengers in the past can be obtained, and the congestion rate can be increased according to the calculated ratio. .. Further, even if the information on the actual number of passengers cannot be obtained, it can be reflected at a fixed ratio such as 30%. Next, in step S805, the congestion rate calculated in step S804 is added to the congestion information holding unit.
 なお、本処理は、日次または利用者のスケジュールが変更されたタイミングで行われる。また、すべての計算を都度行う必要はなく、必要に応じて差分の計算を行う。 This process is performed daily or when the user's schedule is changed. Moreover, it is not necessary to perform all the calculations each time, and the difference is calculated as needed.
 次に、図9に、本実施例における、スケジュール調整サーバ102の混雑調整処理部206が図4のステップS408からステップS413において、利用者基本情報501、利用者スケジュール502、実施場所情報503の各種情報及び運行情報601、ダイヤ情報602、シェアオフィス情報603、空室状況604をもとに混雑を調整する処理を示す。 Next, in FIG. 9, the congestion adjustment processing unit 206 of the schedule adjustment server 102 in this embodiment shows various types of user basic information 501, user schedule 502, and implementation location information 503 in steps S408 to S413 of FIG. The process of adjusting the congestion based on the information and operation information 601, the timetable information 602, the shared office information 603, and the vacancy status 604 is shown.
 図9において、まず、調整対象の利用者の利用者情報保持部208に保持されている利用者基本情報501の[主な通勤手段]と[通勤経路]と[標準乗車時間]と、利用者スケジュール502を取得する(S901)。 In FIG. 9, first, the [main commuting means], [commuting route], and [standard boarding time] of the user basic information 501 held in the user information holding unit 208 of the user to be adjusted, and the user. Acquire the schedule 502 (S901).
 次に、混雑情報保持部207に保持されている混雑情報を取得する(S902)。 Next, the congestion information held in the congestion information holding unit 207 is acquired (S902).
 次に、調整対象の利用者の[標準乗車時間]と[通勤経路]と混雑情報とを比較して、乗車する列車が停車する駅間の混雑率をすべて取得する。次に、取得した混雑率が閾値を上回っているかどうかを判定する(S903)。例えば、閾値を混雑率100パーセントとした場合、各駅の混雑率が一つでも100パーセントを超えている場合に、混雑率が閾値を上回ったと判定する。なお、閾値は路線や利用者の意向によって変更することができる。また、混雑率と閾値との比較の前に、乗車する列車が停車する駅間の混雑率を平均化し、平均化した混雑率と閾値を比較してもよい。 Next, compare the [standard boarding time], [commuting route], and congestion information of the user to be adjusted, and obtain all the congestion rates between stations where the train to be boarded stops. Next, it is determined whether or not the acquired congestion rate exceeds the threshold value (S903). For example, when the threshold value is 100%, it is determined that the congestion rate exceeds the threshold value when the congestion rate of each station exceeds 100%. The threshold value can be changed according to the route and the intention of the user. Further, before comparing the congestion rate and the threshold value, the congestion rate between stations where the train to be boarded may be averaged and the averaged congestion rate and the threshold value may be compared.
 混雑率が閾値を上回っていない場合は、混雑調整処理は不要なので本処理は終了する。混雑率が閾値を上回っていた場合、利用者スケジュール502を参照して、通勤予定を混雑時間帯以外に変更可能かどうかを判定する(S904)。例えば、7時半から8時半の間に通勤を予定しており、当日の予定が10時から12時の会議の場合、10時までは予定がないため、通勤時間を9時から10時の間に変更可能だと判定する。なお、判定の際に、変更先の通勤時間の混雑率を再度確認し、変更先の通勤時間において、混雑率が閾値を下回ることを確認する。例えば、9時から開始する会議がある場合に、7時半から8時半の通勤時間を8時から9時に変更することが考えられるが、この場合、変更しても混雑率が閾値を下回らないことが考えらえる。このような場合は通勤予定を変更できないと判定し、本処理は終了する。なお、この例では後ろ倒しする場合を示したが、利用者の意向として、図5(a)利用者基本情報501の[定期的な予定]、[スケジュール変更の意向]の項目を参照し、通勤時間の前倒しを希望している場合は、通勤時間帯を前倒ししてもよい。 If the congestion rate does not exceed the threshold value, the congestion adjustment process is unnecessary and this process ends. When the congestion rate exceeds the threshold value, it is determined whether or not the commuting schedule can be changed to a time other than the congestion time zone with reference to the user schedule 502 (S904). For example, if you plan to commute between 7:30 and 8:30 and the meeting is scheduled for the day from 10:00 to 12:00, there is no schedule until 10:00, so the commuting time is between 9:00 and 10:00. Judge that it can be changed to. At the time of determination, the congestion rate of the commuting time of the change destination is confirmed again, and it is confirmed that the congestion rate is below the threshold value in the commuting time of the change destination. For example, if there is a meeting that starts at 9 o'clock, it is possible to change the commuting time from 7:30 to 8:30 from 8 o'clock to 9 o'clock, but in this case, even if it is changed, the congestion rate will fall below the threshold value. I can think that there is no such thing. In such a case, it is determined that the commuting schedule cannot be changed, and this process ends. In this example, the case of moving backward is shown, but as the intention of the user, refer to the items of [Regular schedule] and [Intention to change schedule] in Fig. 5 (a) Basic user information 501. If you wish to advance your commuting time, you may advance your commuting time.
 次に、通勤予定を混雑時間帯以外に変更可能と判断した場合は、外部サービス情報保持部209から通勤時間候補とシェアオフィス利用時間候補を取得する(S905)。この候補は、シェアオフィスが空いていないことを考慮し、複数の候補を取得する。まず、利用者スケジュール502及び、利用者基本情報501の[勤務形態]を参照し、通勤時間候補の一番後ろ倒し可能な時間を取得する。例えば、通常7時半から8時半の間に通勤しているが、フレックス勤務でコアタイムが10時からの場合は、通勤時間の最大の後ろ倒し時間は9時から10時となる。次に、7時半から9時までの間について、30分刻みで通勤した場合に混雑率が閾値を下回る時間帯を抽出する。例えば、7時半から8時半、8時から9時で通勤した場合は混雑率が閾値を超えるが、8時半から9時半で通勤した場合と、9時から10時で通勤した場合に混雑率が閾値を下回る場合、通勤時間候補として、8時半から9時半と、9時から10時を取得する。次に、通勤時間候補に対応するシェアオフィス利用時間候補を取得する。シェアオフィス利用時間は、当初予定していた通勤時間から、通勤時間候補までの時間とする。例えば、当初予定していた通勤時間を7時半から8時半とし、通勤時間候補を8時半から9時半と、9時から10時とした場合、シェアオフィス利用時間候補は、7時半から8時半と、7時半から9時となる。なお、通勤時間候補とシェアオフィス利用時間候補を取得する際に、30分刻みではなく、10分刻みまたは15分刻みなど任意に設定してよい。 Next, if it is determined that the commuting schedule can be changed to a time other than the busy hours, the commuting time candidate and the shared office usage time candidate are acquired from the external service information holding unit 209 (S905). This candidate acquires multiple candidates in consideration of the fact that the shared office is not available. First, the user schedule 502 and the [working style] of the user basic information 501 are referred to, and the time that can be pushed back most of the commuting time candidates is acquired. For example, if you normally commute between 7:30 and 8:30, but you work flextime and the core time is from 10 o'clock, the maximum commuting time is from 9 to 10 o'clock. Next, from 7:30 to 9:00, a time zone in which the congestion rate is below the threshold value when commuting to work every 30 minutes is extracted. For example, if you commute from 7:30 to 8:30 and from 8:00 to 9:00, the congestion rate will exceed the threshold, but if you commute from 8:30 to 9:30 and if you commute from 9:00 to 10:00. If the congestion rate is below the threshold value, 8:30 to 9:30 and 9 to 10 o'clock are acquired as commuting time candidates. Next, the shared office usage time candidate corresponding to the commuting time candidate is acquired. The shared office usage time is the time from the originally planned commuting time to the commuting time candidate. For example, if the originally planned commuting time is from 7:30 to 8:30, and the commuting time candidates are from 8:30 to 9:30 and from 9:00 to 10:00, the shared office usage time candidate is 7:00. It will be from half to 8:30 and from 7:30 to 9:00. In addition, when acquiring the commuting time candidate and the shared office usage time candidate, it may be arbitrarily set in increments of 10 minutes or 15 minutes instead of 30 minutes.
 次に外部サービス情報保持部209に保存されている、シェアオフィス情報603と空室状況604とを取得する(S906)。なお取得の際は、往路の通勤時間を前倒す場合で、勤務先が開所してない場合に最寄駅付近、または、出張先付近のシェアオフィス等の情報を取得し、往路の通勤時間を後ろ倒す場合は、自宅の最寄り駅付近のシェアオフィス等の情報を取得する。また、復路の通勤時間を前倒す場合は、自宅の最寄り駅付近または、就業後の予定の実施場所の付近のシェアオフィス等の情報を取得し、復路の通勤時間を後ろ倒す場合は、基本的には勤務先で就業することとし、出張の予定がある場合にシェアオフィス等の情報を取得する。なお、シェアオフィスの空室状況について、外部サービス情報保持部209から取得することとしているが、外部サービスプロバイダ104から最新の情報を取得してもよい。 Next, the shared office information 603 and the vacancy status 604 stored in the external service information holding unit 209 are acquired (S906). In addition, when acquiring, if you want to advance the commuting time on the outbound route, and if the office is not open, acquire information on the shared office near the nearest station or the business trip destination, and set the commuting time on the outbound route. If you want to move backwards, get information about the shared office near the nearest station to your home. In addition, if you want to advance the commuting time on the return trip, get information on the shared office near the station closest to your home or near the planned implementation location after work, and if you want to advance the commuting time on the return trip, basically I will work at my place of employment, and if I plan to commute, I will get information about shared offices. The availability of the shared office is acquired from the external service information holding unit 209, but the latest information may be acquired from the external service provider 104.
 次に、取得したシェアオフィス情報603と空室状況604と、シェアオフィス利用時間候補を比較し、当該時間にシェアオフィスが空いているかを確認する(S907)。 Next, the acquired share office information 603 and vacancy status 604 are compared with the share office usage time candidates, and it is confirmed whether the share office is vacant at that time (S907).
 シェアオフィスが空いていない場合は、混雑調整処理は不可なので本処理は終了する。シェアオフィスが空いている場合は、利用者にスケジュールの変更候補として、シェアオフィスが空いていたシェアオフィス利用時間候補と、それに対応する通勤時間候補とを提示する(S908)。この時、候補が複数ある場合は複数提示することとする。なお、事前に、シェアオフィス利用時間の利用意向について利用者に確認して、シェアオフィス利用時間が最大になる候補やシェアオフィス利用時間が利用者が希望する時間になる候補、シェアオフィス利用時間が最小になる候補を優先的に提示してもよい。 If the shared office is not available, the congestion adjustment process is not possible, so this process ends. When the shared office is vacant, the user is presented with the shared office usage time candidate for which the shared office was vacant and the corresponding commuting time candidate as candidates for changing the schedule (S908). At this time, if there are multiple candidates, multiple candidates will be presented. In addition, confirm with the user in advance about the intention to use the shared office usage time, the candidate for the maximum shared office usage time, the candidate for the shared office usage time to be the time desired by the user, and the shared office usage time. The candidate that becomes the minimum may be presented preferentially.
 次に、利用者が承認したかを判断し(S909)、承認されなけば本処理は終了し、承認された場合は、利用者が承認した通勤時間候補とシェアオフィス利用時間について、シェアオフィスの利用予約を行い、スケジュールを変更し、外部サービス情報保持部209に保持されている空室状況604の空室状況を更新する(S910)。なお、シェアオフィスの利用予約は外部サービスプロバイダ104に対して行い、スケジュールの調整結果として、確定した通勤時間とシェアオフィス利用時間を情報銀行103に送信する。以上でスケジュール調整処理を終了する。 Next, it is determined whether the user has approved it (S909), and if it is not approved, this process is completed. If approved, the commuting time candidate and the shared office usage time approved by the user are displayed in the shared office. A usage reservation is made, the schedule is changed, and the vacancy status of the vacancy status 604 held in the external service information holding unit 209 is updated (S910). The shared office usage reservation is made to the external service provider 104, and the fixed commuting time and shared office usage time are transmitted to the information bank 103 as a result of adjusting the schedule. This completes the schedule adjustment process.
 なお、上記までに説明した通勤時間の変更処理をすべての利用者に対して実施すると、混雑率が減少する列車と、混雑率が増加する列車とが生じると想定される。そのため、以下では、混雑率が変更され、新たに閾値を超えた場合の処理について説明する。なお、この処理は日次等のバッチ処理で行うことが想定される。 If the commuting time change process described above is performed for all users, it is expected that some trains will have a reduced congestion rate and some trains will have an increased congestion rate. Therefore, in the following, the processing when the congestion rate is changed and the threshold value is newly exceeded will be described. It is assumed that this processing is performed by batch processing such as daily.
 すなわち、図9のステップS902までの処理が行われたのち、混雑情報701の変更履歴を取得し、混雑率が上昇し、かつ閾値を超えた列車及び区間および日付と出発時間と到着時間とを特定する。次に、すべての利用者の利用者基本情報501を参照して、当該区間を利用する利用者を特定し、特定した利用者の利用者スケジュール502を取得して、閾値を超えた日付の通勤時間帯が、閾値を超えた出発時間と到着時間と重なるかどうかを判定する。重なっている場合に、利用者スケジュールの更新が行われたタイミングで混雑率が変更されるので、ステップS904以降の処理を実施する。 That is, after the processing up to step S902 in FIG. 9 is performed, the change history of the congestion information 701 is acquired, and the trains and sections where the congestion rate increases and the threshold value is exceeded, the departure time and the arrival time are obtained. Identify. Next, with reference to the user basic information 501 of all users, the user who uses the section is specified, the user schedule 502 of the specified user is acquired, and the commuting date exceeding the threshold value is obtained. Determine if the time zone overlaps the departure and arrival times that exceed the threshold. If they overlap, the congestion rate is changed at the timing when the user schedule is updated, so the processes after step S904 are performed.
 次に図10を用いて、本実施例におけるスケジュール調整結果を利用者に提示する画面の一例を示す。図10に示す通り、利用者には調整前と調整後のスケジュールを提示する。図10では、調整前のスケジュールとして、7時半から8時半の間に通勤して、10時から12時の間に会議を行い、17時半から18時半の間に通勤し、18時半からフィットネスするスケジュールが示されている。 Next, with reference to FIG. 10, an example of a screen for presenting the schedule adjustment result in this embodiment to the user is shown. As shown in FIG. 10, the user is presented with the schedule before and after the adjustment. In FIG. 10, as a pre-adjustment schedule, commute between 7:30 and 8:30, hold a meeting between 10 and 12 o'clock, commute between 17:30 and 18:30, and 18:30. The schedule for fitness is shown from.
 調整後のスケジュールは、7時半から9時までシェアオフィスで勤務し、9時から10時の間に通勤し、10時から12時の間に会議を行い、15時から16時の間に通勤し、16時から18時半の間にシェアオフィスで勤務し、18時半からフィットネスするスケジュールが示されている。 The adjusted schedule is to work in a shared office from 7:30 to 9:00, commute between 9:00 and 10:00, hold meetings between 10:00 and 12:00, commute between 15:00 and 16:00, and from 16:00. The schedule for working in a shared office between 6:30 pm and fitness from 6:30 pm is shown.
 以上のように、本実施例によれば、すべての利用者のスケジュールをもとに、通勤混雑を予測して、混雑時間帯はシェアオフィス等で就業して通勤混雑を避けることができ、自由時間を創出できるスケジュール調整を行うことが可能なスケジュール調整装置及びスケジュール調整プログラムを提供できる。これにより、利用者の生活の質が向上する効果が期待できる。 As described above, according to this embodiment, commuting congestion can be predicted based on the schedules of all users, and commuting congestion can be avoided by working in a shared office or the like during busy hours. It is possible to provide a schedule adjustment device and a schedule adjustment program capable of performing schedule adjustment that can create time. This can be expected to have the effect of improving the quality of life of the user.
 以上、実施例について説明したが、本発明は上記した実施例に限定されるものではなく、その技術思想、又はその主要な特徴から逸脱することなく、様々な変形例が含まれる。例えば、上記した実施例は本発明をわかりやすく説明するために詳細に説明したものであり、必ずしも説明した全ての構成を備えるものに限定されるものではない。 Although the examples have been described above, the present invention is not limited to the above-mentioned examples, and various modifications are included without departing from the technical idea or the main features thereof. For example, the above-described embodiment has been described in detail in order to explain the present invention in an easy-to-understand manner, and is not necessarily limited to those having all the described configurations.
 101:端末装置、102:スケジュール調整サーバ、103:情報銀行、104:外部サービスプロバイダ、105:インターネット等のネットワーク、201:演算部、202:記憶部、203:通信部、204:入出力部、205:混雑状況把握処理部、206:混雑調整処理部、207:混雑情報保持部、208:利用者情報保持部、209:外部サービス情報保持部、301:演算部、302:記憶部、303:通信部、304:入出力部、305:情報連携部、306:パーソナルデータ管理部、307:パーソナルデータ保持部、501:利用者基本情報、502:利用者スケジュール、503:実施場所情報、601:運行情報、602:ダイヤ情報、603:シェアオフィス情報、604:空室状況、605:過去の混雑情報、701:混雑情報。 101: Terminal equipment, 102: Schedule adjustment server, 103: Information bank, 104: External service provider, 105: Network such as the Internet, 201: Calculation unit, 202: Storage unit, 203: Communication unit, 204: Input / output unit, 205: Congestion status grasping processing unit, 206: Congestion adjustment processing unit, 207: Congestion information holding unit, 208: User information holding unit, 209: External service information holding unit, 301: Calculation unit, 302: Storage unit, 303: Communication unit, 304: Input / output unit, 305: Information cooperation unit, 306: Personal data management unit, 307: Personal data retention unit, 501: Basic user information, 502: User schedule, 503: Implementation location information, 601: Operation information, 602: timetable information, 603: shared office information, 604: availability, 605: past congestion information, 701: congestion information.

Claims (15)

  1.  ネットワークに接続された端末装置とスケジュール調整サーバと外部サービスプロバイダから構成されるスケジュール調整システムのスケジュール調整方法であって、
     前記端末装置からの利用者の情報、及び、前記外部サービスプロバイダからの過去の混雑状況をもとに、前記スケジュール調整サーバは利用者の通勤時間帯における混雑状況を把握し、
     利用者が混雑している状態で通勤しようとしている場合で、かつ、前記外部サービスプロバイダからのシェアオフィス情報をもとに通勤前の場所付近のシェアオフィスに空室がある場合に、前記スケジュール調整サーバは混雑状況調整処理を行うことを特徴とするスケジュール調整方法。
    It is a schedule adjustment method of a schedule adjustment system consisting of a terminal device connected to the network, a schedule adjustment server, and an external service provider.
    Based on the user's information from the terminal device and the past congestion status from the external service provider, the schedule adjustment server grasps the congestion status of the user during the commuting time zone.
    The schedule adjustment is performed when the user is trying to commute in a crowded state and there is a vacancy in the shared office near the place before commuting based on the shared office information from the external service provider. A schedule adjustment method characterized in that the server performs congestion status adjustment processing.
  2.  請求項1に記載のスケジュール調整方法であって、
     前記混雑状況の把握は、前記スケジュール調整システムの利用者全員のスケジュールと通勤情報をもとに混雑率を算出し混雑状況を把握することを特徴とするスケジュール調整方法。
    The schedule adjustment method according to claim 1.
    The grasping of the congestion situation is a schedule adjusting method characterized in that the congestion rate is calculated based on the schedules and commuting information of all the users of the schedule adjusting system and the congestion situation is grasped.
  3.  請求項2に記載のスケジュール調整方法であって、
     前記スケジュール調整システムの利用者が少ない場合には、前記過去の混雑状況を一定の割合で前記混雑率に反映することを特徴とすることを特徴とするスケジュール調整方法。
    The schedule adjustment method according to claim 2.
    A schedule adjustment method characterized in that when the number of users of the schedule adjustment system is small, the past congestion status is reflected in the congestion rate at a constant rate.
  4.  請求項2に記載のスケジュール調整方法であって、
     前記混雑状況調整処理は、前記混雑率が閾値より大きい場合に、前記シェアオフィスで勤務する時間及び新たな通勤時間を決定し前記シェアオフィスで勤務するようにスケジュールを調整することを特徴とするスケジュール調整方法。
    The schedule adjustment method according to claim 2.
    The congestion status adjustment process is characterized in that, when the congestion rate is larger than the threshold value, the time to work in the shared office and the new commuting time are determined, and the schedule is adjusted so as to work in the shared office. Adjustment method.
  5.  請求項4に記載のスケジュール調整方法であって、
     前記混雑状況調整処理は、前記シェアオフィスがシェアオフィス利用時間候補の時間に空いているかを確認してスケジュールを調整することを特徴とするスケジュール調整方法。
    The schedule adjustment method according to claim 4.
    The congestion status adjustment process is a schedule adjustment method characterized in that the schedule is adjusted by confirming whether the shared office is available at the time of the shared office usage time candidate.
  6.  請求項4に記載のスケジュール調整方法であって、
     前記混雑状況調整処理により、前記混雑率が変更され、該変更された混雑率が前記閾値を上回った場合に、該当する利用者のスケジュールを調整することを特徴とするスケジュール調整方法。
    The schedule adjustment method according to claim 4.
    A schedule adjustment method, characterized in that, when the congestion rate is changed by the congestion situation adjustment process and the changed congestion rate exceeds the threshold value, the schedule of the corresponding user is adjusted.
  7.  請求項4に記載のスケジュール調整方法であって、
     前記混雑状況調整処理は、前記利用者のスケジュール変更の意向をもとに、スケジュール調整することを特徴とするスケジュール調整方法。
    The schedule adjustment method according to claim 4.
    The congestion status adjustment process is a schedule adjustment method characterized in that the schedule is adjusted based on the user's intention to change the schedule.
  8.  混雑を避けるようにスケジュールを調整するスケジュール調整サーバのスケジュール調整方法であって、利用者及び過去の混雑状況の情報を取得し、該利用者及び過去の混雑状況の情報をもとに、利用者の通勤時間帯における混雑状況を把握し、シェアオフィス情報を取得し、利用者が混雑している状態で通勤しようとしている場合で、かつ、前記シェアオフィス情報をもとに通勤前の場所付近のシェアオフィスに空室がある場合に、前記シェアオフィスで勤務する時間及び新たな通勤時間を決定し混雑状況調整処理を行うことを特徴とするスケジュール調整方法。 It is a schedule adjustment method of the schedule adjustment server that adjusts the schedule so as to avoid congestion. It acquires information on the user and the past congestion status, and based on the information on the user and the past congestion status, the user. If you are trying to commute to work while the users are crowded by grasping the congestion situation during the commuting time, and acquiring the shared office information, and based on the shared office information, near the place before commuting. A schedule adjustment method characterized in that when there is a vacancy in a shared office, the time to work in the shared office and a new commuting time are determined and a congestion status adjustment process is performed.
  9.  請求項8に記載のスケジュール調整方法であって、
     前記混雑状況の把握は、前記スケジュール調整サーバの利用者全員のスケジュールと通勤情報をもとに混雑率を算出し混雑状況を把握することを特徴とするスケジュール調整方法。
    The schedule adjustment method according to claim 8.
    The congestion status grasping is a schedule adjustment method characterized in that the congestion rate is calculated based on the schedules and commuting information of all the users of the schedule adjustment server and the congestion status is grasped.
  10.  請求項9に記載のスケジュール調整方法であって、
     前記スケジュール調整サーバの利用者が少ない場合には、前記過去の混雑状況を一定の割合で前記混雑率に反映することを特徴とすることを特徴とするスケジュール調整方法。
    The schedule adjustment method according to claim 9.
    When the number of users of the schedule adjustment server is small, the schedule adjustment method is characterized in that the past congestion status is reflected in the congestion rate at a constant rate.
  11.  請求項9に記載のスケジュール調整方法であって、
     前記混雑状況調整処理は、前記混雑率が閾値より大きい場合に、前記シェアオフィスで勤務する時間及び新たな通勤時間を決定し前記シェアオフィスで勤務するようにスケジュールを調整することを特徴とするスケジュール調整方法。
    The schedule adjustment method according to claim 9.
    The congestion status adjustment process is characterized in that, when the congestion rate is larger than the threshold value, the time to work in the shared office and the new commuting time are determined, and the schedule is adjusted so as to work in the shared office. Adjustment method.
  12.  請求項11に記載のスケジュール調整方法であって、
     前記混雑状況調整処理は、前記シェアオフィスがシェアオフィス利用時間候補の時間に空いているかを確認してスケジュールを調整することを特徴とするスケジュール調整方法。
    The schedule adjustment method according to claim 11.
    The congestion status adjustment process is a schedule adjustment method characterized in that the schedule is adjusted by confirming whether the shared office is available at the time of the shared office usage time candidate.
  13.  請求項11に記載のスケジュール調整方法であって、
     前記混雑状況調整処理により、前記混雑率が変更され、該変更された混雑率が前記閾値を上回った場合に、該当する利用者のスケジュールを調整することを特徴とするスケジュール調整方法。
    The schedule adjustment method according to claim 11.
    A schedule adjustment method, characterized in that, when the congestion rate is changed by the congestion situation adjustment process and the changed congestion rate exceeds the threshold value, the schedule of the corresponding user is adjusted.
  14.  請求項11に記載のスケジュール調整方法であって、
     前記混雑状況調整処理は、前記利用者のスケジュール変更の意向をもとに、スケジュール調整することを特徴とするスケジュール調整方法。
    The schedule adjustment method according to claim 11.
    The congestion status adjustment process is a schedule adjustment method characterized in that the schedule is adjusted based on the user's intention to change the schedule.
  15.  混雑を避けるようにスケジュールを調整するスケジュール調整サーバにおけるスケジュール調整プログラムを格納した記憶媒体であって、
     演算部を、
     利用者及び過去の混雑状況の情報を取得し、
     該利用者及び過去の混雑状況の情報をもとに、利用者の通勤時間帯における混雑状況を把握し、
     シェアオフィス情報を取得し、
     利用者が混雑している状態で通勤しようとしている場合で、かつ、前記シェアオフィス情報をもとに通勤前の場所付近のシェアオフィスに空室がある場合に、前記シェアオフィスで勤務する時間及び新たな通勤時間を決定し混雑状況調整処理を行うように機能させることを特徴とするスケジュール調整プログラムを格納した記憶媒体。
    A storage medium that stores a schedule adjustment program in a schedule adjustment server that adjusts the schedule so as to avoid congestion.
    The calculation unit,
    Obtain information on users and past congestion status,
    Based on the information on the user and the past congestion status, the congestion status of the user during the commuting time can be grasped.
    Get shared office information,
    When the user is trying to commute in a crowded state, and there is a vacancy in the shared office near the place before commuting based on the shared office information, the time to work at the shared office and A storage medium that stores a schedule adjustment program, which is characterized by determining a new commuting time and making it function to perform congestion status adjustment processing.
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