JP2011054048A - Traveling plan preparation support program, traveling plan preparation support device, and traveling plan preparation support method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To promote preparation of travelling plan having a high possibility of reducing the load with respect to the environmental. <P>SOLUTION: Traveling plan preparation support program makes a computer execute an accumulated amount of electricity calculating procedure for calculating the amount of electricity of an electric vehicle accumulated by charging in an charging period and at a charging point; a determination procedure for determining whether the accumulated amount of electricity is insufficient for the predicted electricity consumption, calculated according to the traveling section; and an output procedure for outputting information indicating a determination result of the determination procedure, by using a traveling information storage means storing information indicating traveling periods and traveling sections of the electric vehicle, and a weather forecast storage means for storing weather forecast data including weather forecast corresponding to the charging period determined according to the charging point, based on natural energy of the electric vehicle and the charging period determined according to the traveling period of the electric vehicle. <P>COPYRIGHT: (C)2011,JPO&INPIT

Description

  The present invention relates to an operation plan creation support program, an operation plan creation support device, and an operation plan creation support method, and in particular, an operation plan creation support program, an operation plan creation support device, and an operation plan that support creation of an operation plan for an electric vehicle. It relates to a creation support method.

  Most of the long-distance transport of luggage is performed by truck. The trucks currently in use are mainly diesel engine trucks that use light oil as fuel. On the other hand, electric vehicles are being put into practical use. In addition, each company is required to reduce CO2 emissions, and transporters are no exception. Therefore, it is considered that transportation using electric trucks will increase in the future.

JP 2009-30993 A JP 2006-113890 A

  However, when an electric truck is charged with electric power generated by thermal power generation or nuclear power generation (generally when charging from an outlet), the environmental load (for example, CO2 emissions) is zero. I can't say there is. On the other hand, power generation using natural energy, such as solar power generation and wind power generation, is considered to have an extremely low environmental load, and CO2 emissions are very close to zero. Therefore, if the electric truck can be charged based on natural energy, the load on the environment due to the running of the electric truck can be significantly reduced.

  However, the supply of natural energy is unstable. Specifically, the amount of power generated by solar power generation or wind power generation depends on weather conditions. On the other hand, there is a time limit for the transportation of luggage. Therefore, depending on the weather conditions within the deadline, there is a possibility that the amount of electric power necessary for transportation cannot be covered only by charging based on natural energy.

  The present invention has been made in view of the above points, and is an operation plan creation support program, an operation plan creation support device, which can promote examination of an operation plan that is highly likely to reduce the burden on the environment, The purpose is to provide an operation plan creation support method.

  Therefore, in order to solve the above problem, the operation plan creation support program includes a travel information storage unit that stores information indicating a travel time and a travel section of the electric vehicle, a charging point based on natural energy of the electric vehicle, and the travel time. A storage amount calculation for calculating a storage amount of the electric vehicle by charging at the charging point at the charging time using weather forecast storage means storing weather forecast data including a weather forecast corresponding to a charging time determined according to the charging time A procedure for determining whether or not the power storage amount is insufficient with respect to the predicted power consumption calculated based on the travel section; and an output procedure for outputting information indicating a determination result by the determination procedure And let the computer run.

  According to the disclosed technology, it is possible to promote examination of an operation plan that is highly likely to reduce the burden on the environment.

It is a figure which shows the example of the transportation method in this Embodiment. It is a figure which shows the example of the facility which each base has. It is a figure which shows the structural example of the transport system in embodiment of this invention. It is a figure which shows the hardware structural example of the transportation plan preparation assistance apparatus in embodiment of this invention. It is a figure which shows the function structural example of the transportation plan preparation assistance apparatus in embodiment of this invention. It is a flowchart for demonstrating the process sequence of a transportation plan preparation assistance apparatus. It is a figure which shows the example of prediction electrical storage amount data. It is a figure which shows the example of the synthetic | combination estimated electrical storage amount data. It is a figure which shows the structural example of order data. It is a figure which shows the calculation result of plan basic data. It is a figure which shows the example of a transportation plan table. It is a figure which shows the example of an operation plan table | surface. It is a figure which shows the example of a dispatch plan table. It is a figure which shows the example of a CO2 simulation table | surface. It is a flowchart for demonstrating the process sequence of a transportation plan production | generation process. The figure which shows the example of the initial state of an operation plan table. It is a figure which shows the update example of the prediction electrical storage amount data according to charge with respect to a tractor head. It is a figure which shows the example of an update of a dispatch plan table. It is a flowchart for demonstrating the process sequence of a CO2 simulation table production | generation process. It is a figure which shows the example of the plan basic copy data by which the time schedule after the outlet utilization area was changed.

  Hereinafter, embodiments of the present invention will be described with reference to the drawings. In the present embodiment, a transportation method as shown in FIG.

  FIG. 1 is a diagram illustrating an example of a transportation method in the present embodiment. As shown in the figure, in the present embodiment, one or more relay points are provided between the departure point S and the destination D in the transportation section of the electric truck 50. The starting point S, the destination S, and each relay point are collectively referred to as “base”. Also, between adjacent bases is called a “relay section”.

  What is necessary is just to determine the distance of a relay area according to the capacity | capacitance of the storage battery of the electric truck 50. FIG. For example, if the travelable distance is 200 km when the storage battery is full, the relay section may be 150 km shorter than that.

  The electric track 50 has a tractor head 51 and a trailer 52. The tractor head 51 is a so-called tractor head and includes a driver's seat, a drive unit, and a storage battery 53. The drive unit is a motor that operates with electric power supplied from the storage battery 53. The storage battery 53 is a nickel metal hydride battery or a lithium ion battery generally used in an electric vehicle. The trailer 52 is a so-called trailer towed by the tractor head 51, and loads a load. The tractor head 51 and the trailer 52 can be separated.

  Each base is provided with a space for waiting the tractor head 51 of the electric truck 50. Each base has a facility as shown in FIG.

  FIG. 2 is a diagram illustrating an example of a facility at each base. As shown in the figure, each base has a photovoltaic power generation charging facility 61, a wind power generation charging facility 62, an outlet charging facility 63, and the like. The photovoltaic power generation charging facility 61 is a facility for storing the electric power generated by the photovoltaic power generation and charging the storage battery 53 of the tractor head 51 in standby. The wind power generation charging facility 62 is a facility for storing the electric power generated by the wind power generation and charging the storage battery 53 of the tractor head 51 in standby. The outlet charging facility 63 is a facility for charging the storage battery 53 of the tractor head 51 from a normal power outlet. Note that a charging facility using natural energy other than sunlight or wind power may be provided at the base. In addition, a plurality of types of natural energy need not be used. For example, either sunlight or wind power may be used.

  Moreover, although the charging facility is separately shown for each of the solar power generation and the wind power generation in the figure, the electric power generated by the solar power and the wind power may be stored in a common charging facility.

  The reason why the tractor head 51 is kept waiting at each base is to reduce the time required for transportation. In general, the charging time for the storage battery is significantly longer than the gasoline refueling time. Further, the distance that the electric vehicle can travel by one charge is shorter than the distance that the normal vehicle can travel by one refueling. Then, when the electric truck 50 is used for long-distance transportation, the charging time is remarkably longer than when a normal truck is used, because charging is performed for a relatively long time.

  Therefore, in the present embodiment, the tractor head 51 is exchanged every time the vehicle crosses a plurality of relay sites through the relay site. That is, the trailer 52 on which the load is loaded is transported by a bucket relay by a plurality of tractor heads 51. By doing so, lengthening of the transportation time due to the charging time is suppressed. In the transportation method of the present embodiment, it is conceivable that the same tractor head 51 is reused by performing a plurality of transportations in parallel. In that case, in order to prevent the occurrence of a situation in which no tractor head 51 that can be used due to battery exhaustion is present at the relay point, the arrangement of the tractor head 51 may be provided with redundancy. For example, a plurality of tractor heads 51 having a certain margin at each base may be arranged.

  A transportation system for creating a transportation plan relating to the above transportation method will be described. FIG. 3 is a diagram illustrating a configuration example of the transportation system according to the embodiment of the present invention. In the figure, the transportation plan creation support apparatus 10, the weather forecast data providing system 20, and the shipper terminal 30 are communicable via a network such as the Internet.

  The transportation plan creation support apparatus 10 is, for example, a computer used by a luggage transportation company or a transportation company (hereinafter, unified as “transportation”) to create a luggage transportation plan using the electric truck 50. The transportation plan creation support apparatus 10 executes a process that promotes the adoption of a transportation plan that is highly likely to reduce the load on the environment during the transportation plan creation process. Specifically, a transportation plan is created so that the chances of charging by natural energy are increased for charging the storage battery 53.

  The weather forecast data providing system 20 is a computer system that provides the transportation plan creation support apparatus 10 with data (weather forecast data) indicating a weather forecast announced by the Japan Meteorological Agency or the like. The weather forecast data provided by the weather forecast data providing system 20 is used to calculate the predicted amount of electricity stored in the charging facility using natural energy at each base.

  The shipper terminal 30 is a communicable terminal such as a PC (Personal Computer), a PDA (Personal Digital Assistance), or a mobile phone, which is used by the requester of the package transportation to request the transportation of the package.

  FIG. 4 is a diagram illustrating a hardware configuration example of the transportation plan creation support apparatus according to the embodiment of the present invention. 4 includes a drive device 100, an auxiliary storage device 102, a memory device 103, a CPU 104, an interface device 105, a display device 106, and a drive device 100, which are mutually connected by a bus B. And an input device 107.

  A program for realizing processing in the transportation plan creation support apparatus 10 is provided by a recording medium 101 such as a CD-ROM. When the recording medium 101 on which the program is recorded is set in the drive device 100, the program is installed from the recording medium 101 to the auxiliary storage device 102 via the drive device 100. However, the program need not be installed from the recording medium 101 and may be downloaded from another computer via a network. The auxiliary storage device 102 stores the installed program and also stores necessary files and data.

  The memory device 103 reads the program from the auxiliary storage device 102 and stores it when there is an instruction to start the program. The CPU 104 realizes functions related to the transportation plan creation support apparatus 10 according to a program stored in the memory device 103. The interface device 105 is used as an interface for connecting to a network. The display device 106 displays a GUI (Graphical User Interface) or the like by a program. The input device 107 is a keyboard, a mouse, or the like, and is used for inputting various operation instructions.

  FIG. 5 is a diagram illustrating a functional configuration example of the transportation plan creation support apparatus according to the embodiment of the present invention. In the figure, the transportation plan creation support apparatus 10 includes an order data input unit 121, a weather forecast data reception unit 122, a storage amount prediction unit 123, a plan creation unit 124, a natural energy shortage determination unit 125, a plan change availability determination unit 126, Simulation unit 127, plan change unit 128, order data storage unit 131, weather forecast data storage unit 132, charging facility information storage unit 133, predicted storage amount data storage unit 134, dispatch plan table storage unit 135, operation plan table storage unit 136 And a transportation plan table storage unit 137 and the like. Each of these units functions by a process executed by the CPU 104 by a program installed in the transportation plan creation support apparatus 10.

  The order data input unit 121 accepts input of order data related to package transportation. For example, the order data may be input by an operator via the input device 107 or may be received via a network. In the case of going through the network, the order contents input at the shipper terminal 30 are received as order data. The accepted order data is recorded in the order data storage unit 131. The order data storage unit 131 is a storage unit that stores order data using the auxiliary storage device 102.

  The weather forecast data receiving unit 122 receives weather forecast data from the weather forecast information providing system 20 and records it in the weather forecast data storage unit 132. The weather forecast data storage unit 132 is a storage unit that stores weather forecast data using the auxiliary storage device 102. The charging facility information storage unit 133 is information (charging facility information) on the performance or specifications of each charging facility (solar power generation charging facility 61 and wind power generation charging facility 62, etc.) using natural energy using the auxiliary storage device 102. Is a storage means for storing.

  The power storage amount prediction unit 123 generates predicted power storage amount data for each charging facility using natural energy based on weather forecast data, charging facility information, and the like, and records the predicted power storage amount data in the predicted power storage amount data storage unit 134. The predicted storage amount data is data indicating the predicted value of the time-series stored power amount (storage amount) for natural energy charging facilities. The predicted accumulation amount data storage unit is a storage unit that stores predicted storage amount data using the auxiliary storage device 102.

  The plan creation unit 124 creates a transportation plan based on the order data, the predicted storage amount data, and the like. In the present embodiment, the creation of the transportation plan means the vehicle allocation plan table, the operation plan table, and the transportation plan table stored in the vehicle allocation plan table storage unit 135, the operation plan table storage unit 136, or the transportation plan table storage unit 137. Means to edit (update). The vehicle allocation plan table storage unit 135, the operation plan table storage unit 136, and the transportation plan table storage unit 137 are storage units that store the vehicle allocation plan table, the operation plan table, or the transportation plan table using the auxiliary storage device 102. The vehicle allocation plan table is a table that is prepared for each tractor head 51 and records the schedule of each tractor head 51. The operation plan table is a table that is prepared for each driver and records the schedule of each driver. The transportation plan table is a table that is prepared for each package (for each order data) and records the transportation schedule of each package.

  The natural energy shortage determination unit 125 determines whether or not the natural energy necessary for charging the tractor 51 used for transporting the luggage is insufficient based on the vehicle allocation schedule. The plan change availability determination unit 126 determines whether or not the arrival time limit of the package can be changed based on the order data when the natural energy shortage determination unit 125 determines that the natural energy is insufficient. That is, whether or not the arrival time limit can be changed is recorded in the order data according to the designation from the shipper terminal 30.

  The simulation unit 127 calculates the CO2 emission amount (predicted value or theoretical value) according to the degree of extension of the arrival deadline when the plan change possibility judging unit 126 determines that the arrival deadline can be changed, A CO2 simulation table is generated. The plan changing unit 128 inquires of the shipper terminal 30 about the degree of extension of the arrival deadline based on the CO2 simulation table. The plan changing unit 128 recreates the transportation plan according to the response from the shipper terminal 30.

  Hereinafter, a processing procedure of the transportation plan creation support apparatus 10 will be described. FIG. 6 is a flowchart for explaining the processing procedure of the transportation plan creation support apparatus.

  In step S <b> 101, the weather forecast data receiving unit 122 receives weather forecast data from the weather forecast information providing system 20, and records the weather forecast data in the weather forecast data storage unit 132. The weather forecast data includes time-series (for example, hourly) sunshine amount prediction data, wind power prediction data, and the like for each region including each base. Further, the target period of the weather forecast data may be for the current day or for a plurality of days (for example, about one week).

  The weather forecast data reception unit 122 may receive the weather forecast data either actively or passively. Active means a form in which weather forecast data is returned in response to a request from the weather forecast data receiving unit 122. Passive means, for example, a form in which the weather forecast information providing system 20 delivers the weather forecast data to the weather forecast data receiving unit 122 in response to the announcement of the weather forecast.

  Subsequently, the power storage amount prediction unit 123 calculates, for each base, a time-series predicted power amount accumulated in the charging facility based on natural energy based on weather forecast data, charging facility information, and the like (S102). Specifically, the power storage amount prediction unit 123 calculates a time-series predicted power amount (predicted power storage amount data) accumulated in the photovoltaic power generation charging facility 61 based on the time-series sunshine amount. Further, the power storage amount prediction unit 123 calculates a time-series predicted power amount (predicted power storage amount data) accumulated in the wind power generation charging facility 62 based on the time-series wind power prediction data.

  FIG. 7 is a diagram illustrating an example of predicted power storage amount data. In the figure, (A) shows an example of predicted storage amount data in the photovoltaic power generation charging facility 61 at a certain base. (B) shows an example of predicted storage amount data in the wind power generation charging facility 62 of the base. Thus, in the present embodiment, the predicted power storage amount data is recorded as data indicating the relationship between the time and the predicted power storage amount.

  Furthermore, the power storage amount prediction unit 123 combines (sums) the two predicted power storage amount data in synchronization with time, and records the combined predicted power storage amount data in the predicted power storage amount data storage unit 134.

  FIG. 8 is a diagram illustrating an example of the synthesized predicted storage amount data. In the figure, an example in which (A) and (B) of FIG. 7 are synthesized is shown.

  Note that the content stored in the predicted storage amount data storage unit 134 may be a parameter of an expression that identifies the graph shown in FIG. 8, or may be a predicted storage amount every predetermined time (for example, every hour). There may be. In addition, the predicted storage amount data of each base is calculated based on weather forecast data regarding the area including the base.

  Subsequent steps S103 and subsequent steps are loop processing for each order data included in the order data storage unit 131.

  In step S <b> 103, the plan creation unit 124 acquires one unprocessed order data from the order data storage unit 131.

  FIG. 9 is a diagram illustrating a configuration example of order data. In the figure, the order data includes items such as a package ID, a departure place, a destination, an arrival deadline, dimensions, weight, and whether or not the deadline can be changed. In the package ID, an identifier of the package to be transported is recorded. In the departure place, an identifier of a base that is the departure place of the package to be transported is recorded. In the destination, an identifier of a base serving as a destination of the package to be transported is recorded. In the arrival deadline, the arrival deadline (for example, date and time) of the package to be transported at the destination is recorded. In the dimension and weight, the dimension and weight of the package to be transported are recorded. Whether or not the deadline can be changed is recorded as to whether or not the arrival deadline can be changed (extended). Whether or not the deadline can be changed is specified by the shipper when ordering transportation. The order data acquired in step S103 is hereinafter referred to as “current order data”.

  Subsequently, the plan creation unit 124 determines the transportation route of the package related to the current order data (hereinafter referred to as “current package”) based on the departure place and the destination of the current order data (S104). The transportation route is represented by an array of base station identifiers.

  The determination of the transport route (routed base) may be made based on information registered in the auxiliary storage device 102 in advance according to the combination of the base serving as the departure point and the base serving as the destination. Alternatively, the transportation route may be determined using a known technique such as a route search technique.

  Subsequently, the plan creation unit 124 creates a time schedule for transporting the current package so as to satisfy the arrival deadline of the current order data (S105). The time schedule is information indicating arrival time and departure time for each base. The plan creation unit 124 calculates the time required for each relay section based on the travel distance of each relay section included in the transport route and the average speed of the electric truck 50. The plan creation unit 124 calculates the arrival time of the next base by adding the required time to the departure time of the previous base. In each base, it is preferable to add a predetermined time between the arrival time and the departure time in order to allow time. The travel distance between bases may be registered in advance in the auxiliary storage device 102, or may be dynamically calculated based on route search technology or the like.

  Subsequently, the plan creation unit 124 calculates a predicted value (predicted power consumption) of the amount of power consumed in the travel of each relay section based on the travel distance of each relay section (S106). The calculation may be performed, for example, by dividing the travel distance by the amount of power required per unit distance (for example, 1 km) obtained in advance.

  As a result of steps S104 to S106, the basic plan data as shown in FIG. FIG. 10 is a diagram illustrating a calculation result of the basic plan data.

  As shown in the figure, in the basic plan data, the transportation date, the transportation route, and the main departure time and arrival time for each base are recorded. The planned basic data further records the predicted power consumption for each relay section. In addition, the date for which the current process of FIG. That is, it is assumed that the process of FIG. 6 is performed on order data for a specific transportation date.

  Subsequently, the plan creation unit 124 saves a copy of the current package transportation plan table, the operation plan table storage unit 136, and the vehicle allocation plan table storage unit 135 recorded in the transportation plan table storage unit 137 (S107). ). In the subsequent processing, the saved transportation plan table, operation plan table storage unit 136, and dispatch plan table storage unit 135 are not processed.

  Subsequently, the plan creation unit 124 executes a transportation plan generation process based on the basic plan data (S108). Through the transportation plan generation process, the transportation plan table, the operation plan table, and the vehicle allocation plan table recorded in the transportation plan table storage unit 137, the operation plan table storage unit 136, or the vehicle allocation plan table storage unit 135 are updated.

  FIG. 11 is a diagram illustrating an example of a transportation plan table. The transportation plan table is a table generated for each package. In one transportation plan table, a package ID, a transportation date, a transportation route, a time schedule, a used tractor ID for each relay section, and a driver ID for each relay section are recorded for one package. The used tractor ID is an identifier of the tractor head 51 to be used. The driver ID is a driver identifier.

  In the example of the figure, it is shown that the luggage P001 is transported from the departure point A to the destination F by the bucket relays of the tractor heads T001, T002, T003, T004, and T005. Further, it is shown that the driver D001 operates from the base A to the base C, and after the base C, the driver changes every relay section. However, the driver change need not always be performed.

  Note that step S108 in FIG. 6 is a process in a loop process for each order data (that is, for each package). Therefore, the transportation plan table for one package is completed by executing step S108 once.

  FIG. 12 is a diagram illustrating an example of an operation plan table. The operation plan table is a table generated for each driver. In one driver plan table, a driver ID, a transportation date, a departure time and an arrival time of a driving relay section, a used tractor ID of the relay section, and a package ID of the relay section are recorded for one driver. Is done. In other words, the driving plan table is a driver's schedule table that indicates when and in which relay section the driver uses which tractor head 51 and which cargo is transported.

  In the figure, since the state after step S108 is executed once for the package P001 is shown, only information related to the package P001 is recorded. When other order data is processed and the driver is assigned to the other order data, a schedule (operation plan) regarding the other order data is added to the operation plan table.

  In addition, according to the transportation plan table of FIG. 11, the drivers D003, D004, and D005 are also in charge of driving regarding the transportation of the luggage P001. Therefore, in step S108, the driving plan table relating to the drivers D003, D004, and D005 is also updated.

  FIG. 13 is a diagram illustrating an example of a vehicle allocation plan table. The vehicle allocation plan table is a table generated for each tractor head 51. In one dispatching schedule, for one tractor head 51, a tractor ID, a transportation date, a departure time and an arrival time of a relay section in charge of transportation, a charging plan, a driver ID of a relay section in charge of transportation, and The package ID of the relay section is recorded. That is, the vehicle allocation plan table is a schedule table of the tractor head 51 that indicates when and in which relay section the tractor head 51 transports which cargo by driving by which driver.

  In the dispatch plan table, a charging plan indicating how many hours charging is performed using which charging facility at which relay point is also recorded. In the example of the figure, after charging from the outlet charging facility 63 from 11:00 to 12:30 at the base C, it is shown that it is used for transporting the luggage P001 in the relay section CD. That is, in “C charging (c)”, the first “C” indicates a base where charging is performed. “(C)” at the end indicates the outlet charging facility 63. When charging is performed by a charging facility based on natural energy, such as the solar power generation charging facility 61 or the wind power generation charging facility 62, the end is “(n)”.

  Furthermore, the amount of storage (theoretical value) of the storage battery 53 after transportation or after charging is recorded in the dispatch plan table for each relay section or each charging plan.

  In addition, when other order data is processed and the tractor head 51 is assigned to the other order data, a schedule (allocation plan) regarding the other order data is added to the allocation plan table.

  Further, according to the transportation plan table of FIG. 11, the tractor heads T001, T002, T004, and T005 are also used for transportation of the cargo P001. Accordingly, in step S108, the vehicle allocation plan table for the tractor heads T001, T002, T004, and T005 is also updated.

  Subsequently, the natural energy shortage determination unit 125 refers to the vehicle allocation plan table updated in step S108 (that is, the vehicle allocation plan table of the tractor head 51 used for transporting the current luggage), and the natural energy is insufficient. It is determined whether or not there is (S109). In the dispatch plan of the tractor head 51 used for transporting the current luggage, if the charging is scheduled immediately before the transportation of the current luggage and the charging is from the outlet charging facility 63, the natural energy is insufficient. It is determined that For example, in the dispatch plan table of FIG. 11, the tractor head T003 is scheduled to be charged from the outlet charging facility 63 immediately before the transit section CD of the cargo P001. Therefore, in this case, it is determined that the natural energy is insufficient. This is because the outlet charging facility 63 is used when it is determined that the natural energy is insufficient, as will be described later.

  Subsequently, the plan change permission / non-permission determining unit 126 refers to the value of the current order data regarding the time limit change permission / prohibition and determines whether or not the time limit change (extension of the arrival time limit) is possible (S110). If the value of the deadline change permission / inhibition value indicates that the deadline change is possible, the plan change determination unit determines that the deadline change is possible. When the value of whether or not the deadline can be changed indicates that the deadline cannot be changed, the plan change determination unit determines that the deadline cannot be changed.

  When the deadline can be changed, the simulation unit 127 calculates the expected CO2 emission amount when the arrival deadline is extended, and records the calculation result in the memory device 103 as a CO2 simulation table (S111).

  FIG. 14 is a diagram illustrating an example of a CO2 simulation table. In the figure, in the CO2 simulation table, the estimated CO2 emission amount is recorded for each arrival time extended by one hour for the transportation of the package indicated by the package ID. Basically, the later the arrival time, the smaller the expected CO2 emission. This is because if the arrival time can be delayed, the time for using the solar power generation charging facility 61 or the wind power generation charging facility 62 instead of the outlet charging facility 63 can be increased.

  Subsequently, the plan change unit 128 outputs a CO2 simulation table (S112). An example of the output of the CO2 simulation table is, for example, transmission to the shipper terminal 30 via a network. More specifically, a CO2 simulation table is described or attached, and an e-mail for consulting extension of the arrival deadline may be transmitted to the shipper terminal 30. In this case, the shipper's email address may be recorded in the order data. Also, a Web page (HTML (Hyper Text Markup Language) data) in which a CO2 simulation table and a button for changing the arrival deadline are arranged is created, and an e-mail describing the URL of the Web page is sent to the shipper terminal 30. May be sent. Further, the CO2 simulation table may be output from a printer connected to the transportation plan creation support apparatus 10. In this case, the CO2 simulation table may be transmitted to the shipper by FAX.

  The shipper who receives the CO2 simulation table by the output from the shipper terminal 30 refers to the estimated CO2 emission amount, and selects the arrival time with the smallest estimated CO2 emission amount within the range of the extendable deadline as the changed arrival time. can do. The selection of the arrival time after the change may be made by a reply by e-mail or may be a selection on a Web page. Alternatively, a FAX describing the arrival time may be returned.

  When a request indicating that the time limit is extended (hereinafter referred to as a “time limit extension request”) is received from the shipper terminal 30 by reply to the e-mail or input to the Web page (Yes in S113), the plan changing unit 128 The basic plan data (see FIG. 10) is updated (S114). Specifically, the time schedule of the basic plan data is updated to a time schedule corresponding to the arrival time specified in the request for extending the deadline. As will be described later, when the CO2 simulation table is generated in step S111, a time schedule (plan basic copy data described later) is generated for each arrival time. Accordingly, here, the time schedule corresponding to the arrival time specified in the time limit extension request is selected as the update target from the time schedules generated in step S111. When the request for extension of the deadline is received by FAX, for example, the arrival time after extension is input to the transportation plan creation support apparatus 10 by a person in charge of transportation planning.

  Subsequently, the plan changing unit 128 deletes the current package transport plan table, the operation plan table storage unit 136, and the dispatch plan table storage unit 135, and saves the saved current package transport plan table and operation plan table storage unit. 136 and the vehicle allocation plan table storage unit 135 are processed (S115).

  Subsequently, the plan change unit 128 causes the plan creation unit 124 to execute a transportation plan generation process based on the basic plan data with the updated time schedule (S116). As a result, a transportation plan table, an operation plan table, and a vehicle allocation plan table with updated time schedules are created.

  When the processes of steps S103 to S116 are completed for all or predetermined order data recorded in the transport order data storage unit 131 (Yes in S118), the process of FIG. 6 ends.

  If it is determined in step S109 that there is no shortage of natural energy, if it is determined in step S110 that it is impossible to change the deadline, or if a deadline change request is not received in step S113, a plan is created. The unit 124 deletes the evacuated transportation plan table, the operation plan table storage unit 136, and the dispatch plan table storage unit 135 (S117). That is, in this case, since the transportation plan is not changed, the contents of the transportation plan table, the operation plan table storage unit 136, and the dispatch plan table storage unit 135 updated in step S108 are confirmed for the current package. This is because the data compared to the transportation plan will not be used.

  Thereafter, the packages are transported based on the transport plan table, the operation plan table, the dispatch plan table, and the like created by the processing of FIG.

  Next, details of the transportation plan generation process executed in steps S108 and S116 will be described. FIG. 15 is a flowchart for explaining the processing procedure of the transportation plan generation processing.

  In step S201, the plan creation unit 124 sets the first departure time and base in the plan basic data as the processing targets. Hereinafter, the departure time and the base that are the processing targets are referred to as the current time and the current base, respectively. Based on the basic plan data in FIG. 10, the current time is “9:00”, and the current base is the base A.

  Subsequently, based on the driving plan table of each driver recorded in the driving plan table storage unit 136, the plan creation unit 124 relays the current section from the current base (base B in FIG. 10) The driver assigned to the operation of “current relay section” is determined (S202). Specifically, in the operation plan table corresponding to the transportation date recorded in the basic plan data, a driver who is present at the current base at the current time and has not been assigned an operation after the current time is assigned. When there are a plurality of corresponding drivers, priority may be set in consideration of the driver's load. For example, a driver who takes a long time from the end time of the last driving to the current time may be preferentially selected. The assigned driver is hereinafter referred to as “current driver”.

  Note that the first location of each driver on each day is determined in advance. For example, when the departure places of luggage are concentrated at one base, all drivers may be arranged at the base. In addition, in the case where each base serves as a departure place of luggage, drivers may be evenly arranged at each base. In any case, the initial state of the driving plan table is a state in which the driver's first location and the time of attendance time + α (time when driving can be started) are recorded.

  FIG. 16 is a diagram illustrating an example of an initial state of an operation plan table. The figure shows the initial state of the operation plan table of the driver D001 whose first arrangement base is the base A and can start operation from 9:00.

  Accordingly, in a state where no driver has been applied to the processing target transportation date, the driver who assigns the operation of the current relay section based on the set of operation plan tables as shown in FIG. Is determined. Note that the first placement base is recorded as the initial state as well in the vehicle allocation schedule. That is, the tractor head 51 is distributed and arranged at each base. In the operation plan table for each day, an initial arrangement position of the tractor head 51 and a travel start time (for example, work start time) are recorded. Further, it is assumed that the initial storage amount is the capacity of the storage battery 53. That is, it is assumed that the storage battery 53 is full at the beginning of each day.

  Subsequently, the plan creation unit 124 is arranged at the current base at the current time, and the tractor head 51 to which transport is not assigned after the current time is based on the vehicle allocation plan table recorded in the vehicle allocation plan table storage unit 135. (S203). Such a tractor head 51 is referred to as a “use candidate tractor head”. There may be a plurality of use candidate tractor heads.

  Subsequently, the plan creation unit 124 calculates the amount of power stored by natural energy at the current time for the use candidate tractor head (the storage battery 53) (S204). Specifically, a chargeable power amount (chargeable amount) is calculated between the arrival time of the last transportation in the dispatch schedule and the current time (hereinafter referred to as “chargeable time”). The storage amount at the current time is calculated by adding the calculated chargeable amount and the power amount after the last transportation in the vehicle allocation plan table.

  In the calculation of the rechargeable amount by natural energy, the predicted storage amount data (see FIG. 8) for the current base is used. More specifically, the chargeable amount is determined based on predicted storage amount data corresponding to the time zone related to the chargeable time. It is assumed that the amount of power that can be charged per unit time (for example, per minute) (the chargeable amount per unit time) is known. Therefore, the chargeable amount in the chargeable time is calculated by the chargeable time × chargeable amount per unit time. However, when the predicted accumulation amount indicated by the predicted storage amount data becomes zero during the chargeable time, the chargeable time is shortened to the time when the predicted accumulation amount becomes zero. Further, the chargeable amount is also corrected (reduced) as the chargeable time is shortened.

  The chargeable time may be deducted from the time required for the charging work. Further, step S204 does not have to be executed for the tractor head 51 in which the transportation schedule is not recorded (that is, the storage battery 53 is full).

  Subsequently, the plan creation unit 124 determines whether there is a usable tractor head 51 among the use candidate tractor heads (S205). Whether or not the tractor head 51 is usable is determined based on whether or not the power storage amount at the current time is equal to or greater than the predicted power consumption of the record related to the current relay section of the planned basic data. If the power storage amount at the current time is equal to or greater than the predicted power consumption, it is determined that the tractor head 51 is usable, and otherwise, it is determined that the tractor head 51 is unusable.

  When there is no tractor head that can be used (No in S205), the plan creation unit 124 calculates, for each use candidate tractor head, the amount of electricity stored at the current time when the amount of power that is not sufficient for natural energy is compensated by charging from the outlet. (S206). More specifically, for the tractor head 51 whose chargeable time has been shortened due to the predicted power storage amount becoming zero, the power storage amount at the current time when the shortened time is charged from the outlet charging facility 63 is calculated (S206). ). After calculating the storage amount at the current time when charging from the outlet charging facility 63, the plan creation unit 124 re-executes the determination in step S205.

  If it is determined that there is an available tractor head 51 (Yes in S205), the plan creation unit 124 refers to the tractor head 51 that allocates the available tractor head 51 to the current relay section (hereinafter referred to as “current tractor head”). ) Is determined (S207). When there are a plurality of tractor heads 51 that can be used, any one is selected. The selection criterion is not limited to a predetermined one. For example, the power storage amount at the current time may be the maximum, or the last used time may be the oldest.

  Subsequently, when the current tractor head needs to be charged from natural energy (Yes in S208), the plan creation unit 124 updates the predicted power storage amount data for the current base (S209). Specifically, the predicted accumulation amount is reduced by the amount charged for the current tractor head. As a result, the predicted storage amount data is updated as shown in FIG. 17, for example.

  FIG. 17 is a diagram illustrating an example of updating predicted storage amount data in accordance with charging of the tractor head. The figure shows an example in which the predicted accumulation amount is reduced in the period T with respect to the predicted storage amount data of FIG. In other words, the tractor head 51 is charged in the period T.

  Subsequently, the plan creation unit 124 updates the dispatch plan table for the current tractor head (S210). Specifically, when it is necessary to perform charging, the charging plan is recorded based on the chargeable time and the chargeable amount. When it is necessary to charge from both natural energy and outlet, the charging plan is recorded for each charging.

  In addition, the departure time and arrival time, the current driver's driver ID, and the luggage ID of the current luggage are recorded for the current relay section, and the storage amount after traveling in the current relay section is recorded. As the departure time and arrival time of the current relay section, the departure time and arrival time of the current relay section recorded in the basic plan data are directly transferred. Further, the power storage amount after traveling in the current relay section is calculated by subtracting the predicted power consumption in the current relay section recorded in the plan basic data from the power storage amount before traveling.

  FIG. 18 is a diagram illustrating an example of updating a vehicle allocation plan table. In the figure, an example in which three rows indicated by A are added is shown. In A, the following plan is shown.

  In the base B, charging with natural energy is performed from 11:00 to 12:30. As a result, the charged amount is “XXX”. Subsequently, charging from the outlet is performed from 12:30 to 13:30. As a result, the charged amount is “YYY”. After that, the base B departs at 14:00 and arrives at the base C at 15:30. The driver in the relay zone B-C is “D00X”, and the luggage is “P00X”. Further, the amount of electricity stored after traveling through the relay section B-C is “ZZZ”.

  Subsequently, the plan creation unit 124 updates the driving plan table of the current driver (S211). Specifically, a record related to the current relay section is added. As the departure time and arrival time of the record, the departure time and arrival time of the current relay section recorded in the basic plan data are directly transferred. In the used tractor ID and package ID of the record, the tractor ID of the current tractor head and the package ID of the current package are recorded.

  Next, the plan creation unit 124 updates the transportation plan table for the current package (S212). Specifically, a record related to the current relay section is added. As the departure time and arrival time of the record, the departure time and arrival time of the current relay section recorded in the basic plan data are directly transferred. In the used tractor ID and driver ID of the record, the tractor ID of the current tractor head and the driver ID of the current driver are recorded.

  Subsequently, the plan creation unit 124 determines whether the current base is the destination of the current order data (S213). If the current base is not the destination (No in S213), the plan creation unit 124 sets the departure time of the next base after the current base as the current time in the basic plan data, and sets the next base after the current base as the current base ( S214). Thereafter, step S202 and subsequent steps are repeated until the current base becomes the destination.

  As a result of the above processing, a transportation plan table for one package is completed.

  Next, details of the CO2 simulation table generation process executed in step S111 in FIG. 6 will be described. FIG. 19 is a flowchart for explaining the processing procedure of the CO2 simulation table generation processing.

  In step S <b> 301, the simulation unit 127 acquires from the vehicle allocation plan table storage unit 135 the vehicle allocation plan table of each tractor head 51 used for the current package transportation based on the tractor ID used in the current package transportation plan table.

  Subsequently, the simulation unit 127 determines a relay section in which power from the outlet is used in transporting the current package based on each acquired dispatch plan table (S302). Specifically, the simulation unit 127 extracts a record in which the charging plan by the outlet is recorded immediately before from the records relating to the transportation of the current luggage in each acquired dispatch plan table. The simulation unit 127 determines that the relay section related to the extracted record is a relay section where power from the outlet is used (hereinafter referred to as “outlet use section”). There may be multiple outlet usage sections.

  Subsequently, the simulation unit 127 sets one outlet use section as a processing target (S303). When there is only one outlet use section, the one outlet use section is processed. If there are a plurality of outlet use sections, any one is selected. For example, the first one may be selected in the order of the outlet use section. Or the thing with the longest charge time by the last outlet may be selected. Unless otherwise specified, the “outlet use section” in the following means an outlet use section to be processed.

  Subsequently, the simulation unit 127 generates a copy of the basic plan data (hereinafter referred to as “plan basic copy data”) in the memory device 103 (S304). Subsequently, the simulation unit 127 delays the time schedule after the outlet use section in the planned basic copy data by a predetermined time (for example, 1 hour) (S308).

  FIG. 20 is a diagram illustrating an example of planned basic copy data in which the time schedule after the outlet use section is changed. The copy source of the planned basic copy data shown in FIG. 10 is shown in FIG. FIG. 20 shows a modification example in which the relay section CD is an outlet use section and the predetermined time is one hour. Therefore, the time schedule after the relay section CD is delayed by one hour. As a result, the arrival time at the destination (base F) is also 19:30 with an hour delay. The predetermined time may not be 1 hour. For example, it may be 0.5 hours or 2 hours.

  Subsequently, the simulation unit 127 generates a copy of the saved transportation plan table, operation plan table storage unit 136, and dispatch plan table storage unit 135 in the auxiliary storage device 102 (S306). Hereinafter, the copied transportation plan table, operation plan table storage unit 136, and vehicle allocation plan table storage unit 135 are referred to as "copy transportation plan table", "copy operation plan table storage unit 136", and "copy vehicle allocation plan table storage unit". 135 ".

  Subsequently, the simulation unit 127 causes the plan creation unit 124 to execute transportation plan generation processing based on the plan basic copy data, the copy transportation plan table, the copy operation plan table storage unit 136, and the copy dispatch plan table storage unit 135 (S307). ). The transportation plan generation process executed here may be the same as that described in FIG. However, the difference is that the process is executed based on the basic plan copy data and the copy transport plan table, copy operation plan table storage unit 136, and copy dispatch plan table storage unit 135 are processed. Therefore, the update to the copy transportation plan table, the copy operation plan table storage unit 136, and the copy dispatch plan table storage unit 135 in step S310 is the transportation plan table and operation plan to be processed in step S108 and step S116 in FIG. The table storage unit 136 and the dispatch plan table storage unit 135 are not affected.

  Subsequently, the simulation unit 127 executes processes similar to steps S301 and S302 in steps S308 and S309. However, in step S308, the copy dispatch plan table storage unit 135 is a processing target. Therefore, in step S 308, the vehicle allocation plan table (copy vehicle allocation plan table) of each tractor head 51 used for transporting the current luggage is acquired from the copy vehicle allocation plan table storage unit 135. In step S309, the outlet use section is extracted based on each copy dispatch plan table acquired in step S308. A plurality of outlet use sections can be extracted here as well.

  The outlet use section is extracted anew based on the copy dispatch plan table storage unit 135 because the tractor head 51 and the charging plan used by the transport plan generation process based on the plan basic copy data whose time schedule has been changed. This is because there is a possibility that the change has occurred. For example, if the time schedule is delayed by 1 hour, the charging time by the outlet may be shortened or may be 0 (zero).

  Subsequently, the simulation unit 127 calculates the CO2 emission amount based on the copy dispatching plan table of each tractor head 51 used for transporting the current luggage (S310). The CO2 emission amount may be calculated by, for example, multiplying the power consumption calculated based on the charging time in the charging plan by the outlet immediately before the outlet use section by the basic unit. When there are a plurality of outlet use sections, the total sum of CO2 emissions for each outlet use section is calculated. On the other hand, when there is no outlet use section, the CO2 emission amount is set to 0 (zero). The fact that there is no outlet use section is because it can be considered that all the electric power used to transport the current package is covered by natural energy.

  Subsequently, the simulation unit 127 generates or updates the CO2 simulation table (see FIG. 14) (S310). When step S310 is executed for the current package for the first time, a CO2 simulation table is generated. When step S310 is executed for the current package for the second time or later, the CO2 simulation table is updated. In either case, one record including the arrival date, arrival time, and CO2 emission amount is added. The arrival date and arrival time of the record are recorded based on the arrival time of the destination recorded in the copy transportation plan table. The value calculated in step S310 is recorded as the CO2 emission amount of the record.

  Subsequently, the simulation unit 127 deletes the copy transportation plan table, the copy operation plan table storage unit 136, and the copy dispatch plan table storage unit 135 (S312). Note that the planned basic copier is not deleted. This is for use in updating the time schedule in step S114 of FIG.

  Subsequently, the simulation unit 127 determines whether or not the CO2 emission amount calculated in step S310 is 0 (zero) (S313). When the CO2 emission amount is not 0 (No in S313), the simulation unit 127 repeats Step S303 and subsequent steps.

  In step S303 after the second time, one outlet use section is selected as a processing target from the outlet use sections determined in step S309 in the previous loop. In the second and subsequent steps S304, a copy of the planned basic copy data generated in the previous loop is generated, and the copy is a processing target in and after step S305. Therefore, the plan basic copy data generated after the second time is a cumulative reflection of the changes in the time schedule up to that point.

  As described above, the transportation plan creation support apparatus 10 according to the present embodiment calculates the amount of power stored in the storage battery 53 by charging from natural energy at the charging time according to the arrival time limit of the package transportation, and the amount of stored power is transported. It is determined whether the predicted power consumption is insufficient. The transportation plan creation support apparatus 10 outputs information indicating that the storage amount is insufficient when the predicted power consumption is insufficient. Therefore, it is possible to give the shipper an opportunity to consider delaying the transportation time (transportation time). As a result, it is possible to increase the possibility of extending the charging time using natural energy, and it is possible to promote the examination of a transportation plan that reduces the burden on the environment.

  In the present embodiment, a CO2 simulation table is used as a specific example of the information indicating the shortage. However, if the shipper can be notified of the shortage of natural energy, the shipper can be given an opportunity to consider. Therefore, detailed and specific information such as the CO2 simulation table may not necessarily be presented, and information indicating that the natural energy is insufficient may be presented.

  However, as shown in the CO2 simulation table, by providing information that specifically shows the comparison result between the amount of power stored in the storage battery 53 and the predicted power consumption, it provides useful study materials when the shipper changes the transportation deadline. can do.

  In the CO2 simulation table, CO2 emission amounts are presented for a plurality of arrival times. Therefore, the shipper can determine the degree of extension of the arrival time in consideration of a balance between his / her convenience and consideration for the environment.

  Note that the information indicating the comparison result between the storage amount of the storage battery 53 and the predicted power consumption amount is not necessarily the CO2 emission amount but may be an index value related to other environmental loads. Further, the storage amount and the predicted power consumption itself, the difference between the storage amount and the predicted power consumption, or a value obtained by dividing the storage amount by the predicted power consumption may be information indicating the comparison result. .

  Further, according to the transportation plan creation support apparatus 10 of the present embodiment, it is possible to create a transportation plan that replaces the tractor head 51 in a bucket relay manner for the electric truck 50 that is difficult to travel for a long distance. As a result, long distance transportation by the electric truck 50 can be enabled. In addition, when creating a transportation plan, the environmental load is taken into consideration, and a charging plan that uses natural energy as much as possible is created. Therefore, it is possible to create a transportation plan with a small environmental load.

  In the present embodiment, an example in which the tractor head 51 is replaced has been described. However, if the storage battery 53 can be easily removed, the storage battery 53 may be replaced with a bucket relay type. In this case, a management table corresponding to the dispatch plan table may be created for the storage battery 53 instead of the tractor head 51.

  However, even in the case where it is not necessary to replace the tractor head 51 (for example, when transporting only one relay section), the effect of the present embodiment can be obtained.

  Further, the present embodiment may be applied not only to the transportation plan for electric trucks but also to the operation plan for electric vehicles for other uses.

  As mentioned above, although the Example of this invention was explained in full detail, this invention is not limited to such specific embodiment, In the range of the summary of this invention described in the claim, various deformation | transformation・ Change is possible.

Regarding the above description, the following items are further disclosed.
(Appendix 1)
Meteorological forecast data including travel information storage means for storing information indicating the travel time and travel section of the electric vehicle, a charging point based on the natural energy of the electric vehicle, and a weather forecast corresponding to the charge time determined according to the travel time Using a weather forecast storage means that stores the storage amount calculation procedure for calculating the storage amount of the electric vehicle by charging at the charging point at the charging time;
A determination procedure for determining whether or not the power storage amount is insufficient with respect to the predicted power consumption calculated based on the travel section;
The operation plan creation assistance program for making a computer perform the output procedure which outputs the information which shows the determination result by the said determination procedure.
(Appendix 2)
When it is determined in the determination procedure that the amount of stored electricity is insufficient with respect to the predicted power consumption, the travel time is changed to be delayed, and the charge time determined based on the travel time after the change is determined. Calculating a power storage amount of the electric vehicle by charging at the charging point, and having a simulation procedure for comparing the calculated power storage amount and the predicted power consumption amount,
The operation plan creation support program according to supplementary note 1, wherein the output procedure outputs information based on a comparison result between the power storage amount and the predicted power consumption amount in the simulation procedure.
(Appendix 3)
The simulation procedure according to claim 2, wherein the simulation procedure changes the time for delaying the traveling time in a plurality of ways, calculates the power storage amount for each of the plurality of times, and compares the power storage amount with the predicted power consumption amount. Operation plan creation support program.
(Appendix 4)
The operation plan creation support program according to supplementary note 2 or 3, wherein the storage amount calculation procedure is executed based on a travel time designated according to information based on the comparison result.
(Appendix 5)
Meteorological forecast data including travel information storage means for storing information indicating the travel time and travel section of the electric vehicle, a charging point based on the natural energy of the electric vehicle, and a weather forecast corresponding to the charge time determined according to the travel time Storage amount calculation means for calculating a storage amount of the electric vehicle by charging at the charging point at the charging time, using a weather forecast storage means storing
Determining means for determining whether or not the power storage amount is insufficient with respect to the predicted power consumption calculated based on the travel section;
An operation plan creation support apparatus having output means for outputting information indicating a determination result by the determination means.
(Appendix 6)
When it is determined by the determination means that the amount of stored electricity is insufficient with respect to the predicted power consumption, the travel time is changed to be delayed, and the charge time determined based on the travel time after the change is determined. Calculating a power storage amount of the electric vehicle by charging at the charging point, and having a simulation means for comparing the calculated power storage amount and the predicted power consumption amount,
The operation plan creation support apparatus according to appendix 5, wherein the output unit outputs information based on a comparison result between the stored electricity amount and the predicted power consumption amount by the simulation unit.
(Appendix 7)
The said simulation means changes the time which delays the said driving | running | working time in multiple ways, calculates the said electrical storage amount for every said multiple time, and compares each said electrical storage amount with the said estimated power consumption amount. Operation plan creation support device.
(Appendix 8)
The operation plan creation support device according to appendix 6 or 7, wherein the storage amount calculation means is executed based on a travel time designated according to information based on the comparison result.
(Appendix 9)
An operation plan creation support method executed by a computer,
Meteorological forecast data including travel information storage means for storing information indicating the travel time and travel section of the electric vehicle, a charging point based on the natural energy of the electric vehicle, and a weather forecast corresponding to the charge time determined according to the travel time Using a weather forecast storage means that stores the storage amount calculation procedure for calculating the storage amount of the electric vehicle by charging at the charging point at the charging time;
A determination procedure for determining whether or not the power storage amount is insufficient with respect to the predicted power consumption calculated based on the travel section;
An operation plan creation support method comprising: an output procedure for outputting information indicating a determination result by the determination procedure.
(Appendix 10)
When it is determined in the determination procedure that the amount of stored electricity is insufficient with respect to the predicted power consumption, the travel time is changed to be delayed, and the charge time determined based on the travel time after the change is determined. Calculating a power storage amount of the electric vehicle by charging at the charging point, and having a simulation procedure for comparing the calculated power storage amount and the predicted power consumption amount,
The operation plan creation support method according to supplementary note 9, wherein the output procedure outputs information based on a comparison result between the storage amount and the predicted power consumption in the simulation procedure.
(Appendix 11)
The simulation procedure according to claim 10, wherein the simulation procedure changes the time for delaying the traveling time in a plurality of ways, calculates the power storage amount for each of the plurality of times, and compares the power storage amount with the predicted power consumption amount. Operation plan creation support method.
(Appendix 12)
The operation plan creation support method according to supplementary note 10 or 11, wherein the power storage amount calculation procedure is executed based on a travel time designated according to information based on the comparison result.

DESCRIPTION OF SYMBOLS 10 Transportation plan preparation assistance apparatus 20 Weather forecast information provision system 30 Shipper terminal 100 Drive apparatus 101 Recording medium 102 Auxiliary storage apparatus 103 Memory apparatus 104 CPU
105 Interface Device 106 Display Device 107 Input Device 121 Order Data Input Unit 122 Weather Forecast Data Receiving Unit 123 Power Storage Prediction Unit 124 Plan Creation Unit 125 Natural Energy Insufficient Determination Unit 126 Plan Change Allowability Determination Unit 127 Simulation Unit 128 Plan Change Unit 131 Order Data storage unit 132 Weather forecast data storage unit 133 Charging facility information storage unit 134 Predicted storage amount data storage unit 135 Vehicle allocation plan table storage unit 136 Operation plan table storage unit 137 Transportation plan table storage unit B Bus

Claims (6)

Meteorological forecast data including travel information storage means for storing information indicating the travel time and travel section of the electric vehicle, a charging point based on the natural energy of the electric vehicle, and a weather forecast corresponding to the charge time determined according to the travel time Using a weather forecast storage means that stores the storage amount calculation procedure for calculating the storage amount of the electric vehicle by charging at the charging point at the charging time;
A determination procedure for determining whether or not the power storage amount is insufficient with respect to the predicted power consumption calculated based on the travel section;
The operation plan creation assistance program for making a computer perform the output procedure which outputs the information which shows the determination result by the said determination procedure. When it is determined in the determination procedure that the amount of stored electricity is insufficient with respect to the predicted power consumption, the travel time is changed to be delayed, and the charge time determined based on the travel time after the change is determined. Calculating a power storage amount of the electric vehicle by charging at the charging point, and having a simulation procedure for comparing the calculated power storage amount and the predicted power consumption,
The operation plan creation support program according to claim 1, wherein the output procedure outputs information based on a comparison result between the stored electricity amount and the predicted power consumption amount in the simulation procedure.   The said simulation procedure changes the time which delays the said driving | running | working time in multiple ways, calculates the said electrical storage amount for every said multiple ways, and compares each said electrical storage amount with the said predicted power consumption amount. Operation plan creation support program.   The operation plan creation support program according to claim 2 or 3, wherein the storage amount calculation procedure is executed based on a travel time specified according to information based on the comparison result. Meteorological forecast data including travel information storage means for storing information indicating the travel time and travel section of the electric vehicle, a charging point based on the natural energy of the electric vehicle, and a weather forecast corresponding to the charge time determined according to the travel time Storage amount calculation means for calculating a storage amount of the electric vehicle by charging at the charging point at the charging time, using a weather forecast storage means storing
Determining means for determining whether or not the power storage amount is insufficient with respect to the predicted power consumption calculated based on the travel section;
An operation plan creation support apparatus having output means for outputting information indicating a determination result by the determination means. An operation plan creation support method executed by a computer,
Meteorological forecast data including travel information storage means for storing information indicating the travel time and travel section of the electric vehicle, a charging point based on the natural energy of the electric vehicle, and a weather forecast corresponding to the charge time determined according to the travel time Using a weather forecast storage means that stores the storage amount calculation procedure for calculating the storage amount of the electric vehicle by charging at the charging point at the charging time;
A determination procedure for determining whether or not the power storage amount is insufficient with respect to the predicted power consumption calculated based on the travel section;
An operation plan creation support method comprising: an output procedure for outputting information indicating a determination result by the determination procedure.

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