WO2023170823A1 - Ordinateur, procédé d'aide à la génération d'informations d'exploitation, système informatique et programme - Google Patents

Ordinateur, procédé d'aide à la génération d'informations d'exploitation, système informatique et programme Download PDF

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WO2023170823A1
WO2023170823A1 PCT/JP2022/010305 JP2022010305W WO2023170823A1 WO 2023170823 A1 WO2023170823 A1 WO 2023170823A1 JP 2022010305 W JP2022010305 W JP 2022010305W WO 2023170823 A1 WO2023170823 A1 WO 2023170823A1
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evaluation index
operation information
computer
transportation
cargo
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PCT/JP2022/010305
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English (en)
Japanese (ja)
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直樹 古家
真帆 下村
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株式会社日立製作所
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Priority to PCT/JP2022/010305 priority Critical patent/WO2023170823A1/fr
Publication of WO2023170823A1 publication Critical patent/WO2023170823A1/fr

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    • B—PERFORMING OPERATIONS; TRANSPORTING
    • B60—VEHICLES IN GENERAL
    • B60W—CONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W30/00—Purposes of road vehicle drive control systems not related to the control of a particular sub-unit, e.g. of systems using conjoint control of vehicle sub-units

Definitions

  • the present invention relates to a computer, method, system, and program that support generation of vehicle operation information associated with mixed cargo and passenger loading.
  • Patent Document 1 states, ⁇ The on-demand passenger/freight consolidation system includes a management device 2 that determines the route of the operating vehicle and transmits the determined route to the on-board device 3 of the operating vehicle, and a management device 2 that sends passenger movement requests to the management device 2.
  • the management device 2 includes a passenger terminal 4 that transmits a transmission, a cargo terminal 5 that transmits a cargo movement request to the management device 2, and an on-vehicle device 3 that is installed in an operating vehicle and receives a route from the management device 2. It has a function of calculating a route based on a passenger movement request and a cargo movement request, and transmitting the calculated route to the onboard device 3.
  • the onboard device 3 has a function of providing route guidance based on the received route. .'' is stated.
  • Patent Document 1 results in vehicle operation that is biased towards one of the users, passengers and freight transport requesters. Further, in Patent Document 1, the revenue of transportation operators is not taken into consideration.
  • the present invention is a system that quantitatively evaluates the degree to which the requirements of the three parties of passengers, cargo transportation requesters, and transportation operators have been achieved, and supports the generation of vehicle operation information that satisfies the requirements of the three parties as much as possible. and a method.
  • a typical example of the invention disclosed in this application is as follows. That is, it is a computer that supports the generation of operation information for vehicles that transport passengers and cargo, and includes a processor, a storage device connected to the processor, and a network interface connected to the processor, and is operated by the passenger.
  • a first evaluation index that receives reservation information for the vehicle from a terminal and the second terminal, generates candidate operation information including a transportation route for the cargo, and indicates the degree of achievement of the passenger's request associated with the transportation of the cargo;
  • a second evaluation index indicating the degree of achievement of the client's request and a third evaluation index indicating the degree of achievement of the business operator's request are calculated for each of the candidate operation information, and the first evaluation index and the third evaluation index are calculated for each of the candidate operation information.
  • the adoptable candidate operation information is selected based on the second evaluation index and the third evaluation index, and the selected candidate operation information is transmitted to the third terminal.
  • the degree of achievement of the requirements of the three parties of passengers, cargo transportation requesters, and transportation operators is quantitatively evaluated, and the generation of vehicle operation information that satisfies the requirements of the three parties as much as possible is supported. can.
  • FIG. 1 is a diagram showing an example of the configuration of a system according to a first embodiment
  • FIG. 1 is a diagram illustrating an example of the hardware configuration of a computer that constitutes the operation information generation support system of Example 1.
  • FIG. 3 is a diagram showing an example of information stored in control information according to the first embodiment.
  • FIG. 3 is a diagram showing an example of information stored in control information according to the first embodiment.
  • FIG. 2 is a sequence diagram illustrating the flow of processing in the system of the first embodiment.
  • FIG. 3 is a diagram showing an example of a reservation screen displayed on the terminal according to the first embodiment.
  • FIG. 3 is a diagram showing an example of a reservation screen displayed on the terminal according to the first embodiment.
  • FIG. 3 is a diagram showing an example of a reservation screen displayed on the terminal according to the first embodiment.
  • FIG. 3 is a diagram showing an example of an operation information selection screen displayed on the terminal according to the first embodiment.
  • 3 is a flowchart illustrating an example of candidate operation information generation processing executed by the operation information generation support system of the first embodiment.
  • 1 is a diagram illustrating an example of a transportation route generated by the operation information generation support system of Example 1.
  • FIG. 3 is a diagram illustrating characteristics of explanatory variables used to calculate evaluation indicators in Example 1.
  • FIG. 7 is a flowchart illustrating an example of a transportation route generation process executed by the operation information generation support system according to the second embodiment. This is information showing an example of route information in Example 3.
  • 12 is a diagram illustrating an example of congestion degree information in Embodiment 3.
  • FIG. FIG. 7 is a diagram showing an example of a transportation schedule selection screen displayed on a terminal according to the third embodiment.
  • 13 is a flowchart illustrating an example of a candidate operation information generation process executed by the operation information generation support system according to the third embodiment.
  • FIG. 1 is a diagram showing an example of the configuration of a system according to the first embodiment.
  • FIG. 2 is a diagram illustrating an example of the hardware configuration of a computer that constitutes the operation information generation support system of the first embodiment.
  • the system is composed of an operation information generation support system 100 and a plurality of terminals 101.
  • the operation information generation support system 100 is connected to each terminal 101 via a network such as a LAN (Local Area Network) and a WAN (Wide Area Network).
  • the network connection format may be either wired or wireless.
  • Demand buses provide transportation services that allow passengers to board and disembark at arbitrary points, as well as to collect and deliver cargo at arbitrary points, according to user reservations.
  • the terminal 101 is a terminal operated by a user who uses the operation information generation support system 100, and includes a processor, a storage device, a network interface, an input device, and an output device (not shown).
  • a terminal 101-1 operated by a transportation company there are a terminal 101-2 operated by a passenger, and a terminal 101-3 operated by a shipper.
  • the consignor is an example of a person requesting transportation of cargo, and is not limited thereto. For example, it may be a delivery company.
  • the operation information generation support system 100 is a system that supports the generation of operation information for vehicles operated by transportation companies that provide transportation services.
  • the operation information is information including travel routes, cargo collection and delivery locations, operation schedules, and the like.
  • the operation information generation support system 100 includes at least one computer 200.
  • the computer 200 has a processor 201, a main storage device 202, a secondary storage device 203, and a network interface 204. Each hardware element is connected to each other via a bus.
  • the computer 200 may have an input device such as a keyboard, a mouse, and a touch panel, and may also have an output device such as a display and a printer.
  • the processor 201 executes a program stored in the main storage device 202. By executing processing according to a program, the processor 201 operates as a functional unit (module) that implements a specific function. In the following description, when a process is described using a functional unit as a subject, it is indicated that the processor 201 executes a program that implements the functional unit.
  • the main storage device 202 is a storage device such as a DRAM (Dynamic Random Access Memory), and stores programs executed by the processor 201 and data used by the programs.
  • the main storage device 202 is also used as a work area.
  • the secondary storage device 203 is a storage device such as an HDD (Hard Disk Drive) or an SSD (Solid State Drive), and permanently stores data.
  • the programs and data stored in the main storage device 202 may be stored in the secondary storage device 203.
  • the processor 201 reads the program and data from the secondary storage device 203 and loads them into the main storage device 202.
  • the operation information generation support system 100 holds control information 110 and also includes a request reception section 120, an operation information generation section 121, an evaluation index calculation section 122, an evaluation section 123, and a notification section 124.
  • the control information 110 is information used to generate operation information.
  • the control information 110 of the first embodiment includes route point information 300 (see FIG. 3A) for managing the points through which the demand bus passes, and transportation flight information 310 (see FIG. 3B) for managing the transportation flights of the demand bus. reference) and control parameters are stored.
  • the transportation operator registers the control information 110 in the operation information generation support system 100 using the terminal 101-1.
  • the control parameters include weights, thresholds, etc., which will be described later.
  • the request reception unit 120 receives requests for passengers to ride and requests for transporting cargo.
  • the operation information generation unit 121 generates operation information candidates (candidate operation information).
  • the evaluation index calculating unit 122 calculates an evaluation index indicating the degree of achievement of each of the requests of transportation operators, passengers, and shippers regarding the candidate operation information.
  • the evaluation unit 123 narrows down candidate operation information using three evaluation indicators.
  • the notification unit 124 transmits information to the terminal 101 and receives a response to the presented information.
  • each functional unit included in the operation information generation support system 100 a plurality of functional units may be combined into one functional unit, or one functional unit may be divided into a plurality of functional units for each function.
  • 3A and 3B are diagrams showing an example of information stored in the control information 110 of the first embodiment.
  • the transit point information 300 stores entries including a location ID 301, a location 302, and a name 303.
  • the location ID 301 is a field that stores identification information for uniquely identifying a transit point.
  • the location 302 is a field that stores a combination of latitude and longitude of a waypoint.
  • Name 303 is a field that stores the name of a stopover point.
  • the transportation flight information 310 stores entries including a transportation flight ID 311, a departure point 312, and a departure time 313.
  • the transportation flight ID 311 is a field that stores identification information for uniquely identifying the transportation flight.
  • Departure point 312 is a field that stores the departure point of the transportation flight.
  • a location ID managed by the route point information 300 is stored in the departure point 312.
  • Departure time 313 is a field that stores the departure time of the transport flight.
  • FIG. 4 is a sequence diagram illustrating the flow of processing in the system of the first embodiment.
  • 5A and 5B are diagrams showing an example of a reservation screen displayed on the terminal 101 according to the first embodiment.
  • FIG. 6 is a diagram showing an example of the operation information selection screen displayed on the terminal 101 of the first embodiment.
  • the operation information generation support system 100 presents an interface for registering control information.
  • the transportation operator uses the terminal 101-1 to register control information in the operation information generation support system 100 (step S101).
  • the passenger uses the terminal 101-2 to make a reservation for the ride (step S102).
  • the operation information generation support system 100 presents a reservation screen 500 as shown in FIG. 5A on the terminal 101-2.
  • the reservation screen 500 includes input fields 501 , 502 , 503 , 504 and a reservation button 505 .
  • the input field 501 is a field for inputting the boarding location.
  • the input field 502 is a field for inputting a drop-off location.
  • the input field 503 is a field for inputting the transportation service to be used.
  • the input field 504 is a field for inputting passenger identification information.
  • the input field 504 stores identification information issued by a transportation operator.
  • the reservation button 505 is an operation button for transmitting reservation information including the values input in the input fields 501, 502, 503, and 504.
  • the shipper uses the terminal 101-3 to make a transportation reservation (step S103).
  • the operation information generation support system 100 presents a reservation screen 510 as shown in FIG. 5B on the terminal 101-3.
  • the reservation screen 510 includes input fields 511 , 512 , 513 , 514 and a reservation button 515 .
  • the input field 511 is a field for inputting the loading location.
  • the input field 512 is a field for inputting the unloading location.
  • the input field 513 is a field for inputting the transportation service to be used.
  • the input field 514 is a field for inputting identification information of the shipper.
  • the input field 514 stores identification information issued by a transportation operator.
  • the reservation button 515 is an operation button for transmitting reservation information including the values input in the input fields 511, 512, 513, and 514.
  • the operation information generation support system 100 executes candidate operation information generation processing (step S104). Details of the candidate operation information generation process will be explained using FIG. 7.
  • the operation information generation support system 100 transmits the display information output as a result of the candidate operation information generation process to the terminal 101-1 operated by the transportation operator (step S105).
  • the operation information selection screen 600 is displayed on the terminal 101-1.
  • the operation information selection screen 600 includes a table 610 and a hiring button 620.
  • the table 610 is a table that displays candidate operation information generated and narrowed down by the operation information generation support system 100, and includes entries including selection 611, NO 612, operation information 613, and evaluation index 614. One entry exists for one candidate operation information.
  • Selection 611 is a field that displays radio buttons for selecting candidate operation information to be adopted.
  • NO 612 is a field that stores an identification number of candidate operation information.
  • the operation information 613 is a field that stores specific contents of candidate operation information.
  • the operation information 613 of the first embodiment stores a transportation route, a departure time at a departure point, an arrival time at a final destination, and the like.
  • Evaluation index 614 is a field group that stores evaluation indexes. As will be described later, evaluation indicators for each of the passengers, shippers, and transportation operators are calculated, and a comprehensive evaluation index is calculated based on the evaluation indicators of the three parties.
  • the adoption button 620 is an operation button for notifying the adoption of the candidate operation information selected in the selection 611.
  • the terminal 101-1 transmits a recruitment notification including the identification number of the candidate operation information selected by the transportation operator to the operation information generation support system 100 (step S106).
  • the operation information generation support system 100 transmits transportation flight information including the arrival time of the pick-up location and the drop-off location to the terminal 101-2 (step S107), and also sends the loading location and unloading location to the terminal 101-3.
  • the transport information including the arrival time of is transmitted (step S108).
  • the passenger confirms the content of the transportation flight information and operates the terminal 101-2 to transmit a response to the operation information generation support system 100 (step S109). If the passenger agrees to operate the transport flight, the passenger submits a response to confirm the reservation; if the passenger does not agree to operate the transport flight, the passenger submits a response to cancel the reservation. When a cancellation of a reservation is accepted, the operation information generation support system 100 may modify the operation information or may add to the operation information that the passenger in question does not exist.
  • the shipper confirms the content of the transportation flight information and operates the terminal 101-3 to transmit a response to the operation information generation support system 100 (step S110). If the shipper agrees to operate the transport flight, the shipper sends a reply to confirm the reservation; if the shipper does not agree to operate the transport flight, the shipper sends a reply to cancel the reservation. When the cancellation of the reservation is accepted, the operation information generation support system 100 may modify the operation information or may add to the operation information that the cargo does not exist.
  • the operation information generation support system 100 manages the maximum number of passengers and cargo that can be accommodated for each transport flight, and controls so as not to accept requests when the maximum number is reached. Furthermore, when the transportation service that the user desires cannot be used, the operation information generation support system 100 may recommend the use of another transportation flight and generate candidate operation information for the transportation flight.
  • the driver operates the vehicle by referring to the operation information. Note that if there is information that there are no passengers or cargo at a stopover point, the driver skips the stopover point.
  • FIG. 7 is a flowchart illustrating an example of candidate operation information generation processing executed by the operation information generation support system 100 of the first embodiment.
  • FIG. 8 is a diagram illustrating an example of a transportation route generated by the operation information generation support system 100 of the first embodiment.
  • FIG. 9 is a diagram illustrating the characteristics of explanatory variables used to calculate the evaluation index of Example 1.
  • the operation information generation unit 121 identifies the transportation flight for which the request reception unit 120 has accepted a reservation (step S201).
  • the operation information generation unit 121 acquires reservation information for the specified transportation flight from the request reception unit 120 (step S202).
  • the operation information generation unit 121 generates candidate operation information based on the control information 110 and reservation information (step S203).
  • candidate operation information including the transportation route and operation schedule of the demand bus is generated. For example, it is generated in the following way.
  • the operation information generation unit 121 identifies a way point based on the reservation information, and refers to the way point information 300 to identify the position of the way point.
  • the operation information generation unit 121 generates a transportation route connecting transit points.
  • Transportation routes are generated using existing route search algorithms such as dynamic programming. In this embodiment, it is assumed that a transportation route is generated based on the following generation rules.
  • Generation rule 1 Transport passengers and cargo in one round.
  • Generation rule 2 Transport cargo after transporting passengers. Please note that cargo collection is possible when transporting passengers.
  • the operation information generation unit 121 deletes transportation routes that do not satisfy the constraint conditions. For example, constraints regarding the order of way points, travel time, travel distance, etc. can be considered. Note that the transportation route may be generated by taking into account constraint conditions.
  • the operation information generation unit 121 generates an operation schedule based on the transportation flight information 310 and the transportation route. Specifically, the operation information generation unit 121 calculates the arrival time of the final destination on the transportation route based on the travel distance of the transportation route and the arrival time of the transportation flight. Furthermore, the operation information generation unit 121 may determine the arrival time and departure time of each way point based on the distance between the way points and the arrival time of the transport flight.
  • the operation information generation unit 121 generates candidate operation information including a transportation route and an operation schedule.
  • the evaluation index calculation unit 122 calculates the evaluation index of the candidate operation information (step S204).
  • the evaluation index for transportation operators, passengers, and shippers, and the method for calculating the comprehensive evaluation index will be explained.
  • the transportation operator's evaluation index is calculated using a function y 1 with travel distance x 1 as an explanatory variable. Note that discounts for passengers associated with cargo transportation may be added as an explanatory variable.
  • Passenger evaluation indicators include the difference in distance or travel time between the shortest route connecting the boarding position and the alighting position and the route connecting the boarding position and the alighting position on the transportation route x 21 , and the number of times cargo is loaded and unloaded. It is calculated using a function y 2 whose explanatory variables are x 22 and the width of the boarding space x 23 due to cargo loading. Note that one function may be defined for each explanatory variable. In this case, the sum, weighted sum, or average of the values of each function may be used as the passenger evaluation index.
  • the consignor's evaluation index is calculated using a function y3 whose explanatory variable is the availability of the desired transportation service x3 .
  • x 3 is "0" when a transportation service is available, and "1" when a transportation service is not available.
  • explanatory variables x 1 and x 21 are expressed by a logistic function as shown in FIG. This makes it possible to calculate an index that reflects people's emotions. Note that the position and degree of the curve may be changed depending on the passenger's desired arrival time, season, etc.
  • the comprehensive evaluation index Y is calculated using equation (1), equation (2), or equation (3).
  • B 1 , B 2 , and B 3 are constants representing weights.
  • the transportation operator may include in the control information 110 information on explanatory variables to be used, methods for calculating individual evaluation indicators and comprehensive evaluation indicators, and information on constraints on the values of explanatory variables.
  • the method for calculating the evaluation index described above is just an example, and the method is not limited thereto.
  • the evaluation unit 123 selects candidate operation information to be presented based on the evaluation index of the candidate operation information (step S205).
  • the transportation operator sets the threshold value of the evaluation index as a control parameter in the control information 110, and also sets the constraint condition of the evaluation index using the threshold value in the control information 110.
  • the evaluation unit 123 selects candidate operation information that satisfies the constraints of the evaluation index.
  • the evaluation unit 123 generates display information (step S206) and outputs it to the notification unit 124 (step S207). Specifically, the evaluation unit 123 sorts the candidate operation information based on the evaluation index and generates display information for displaying the sorted candidate operation information. For example, the evaluation unit 123 sorts the candidate operation information in descending order of overall evaluation index.
  • the notification unit 124 transmits display information to the terminal 101-1 operated by the transportation operator.
  • weights and thresholds used in the candidate operation information generation process may be determined using machine learning or the like.
  • the operation information generation support system 100 uses explanatory variables representing the degree of satisfaction or displeasure of passengers, shippers, and transportation operators associated with freight transportation to It is possible to quantitatively evaluate the degree of achievement of the three parties' requirements:
  • the operation information generation support system 100 can support the generation of operation information that satisfies the requests of the three parties as much as possible by presenting candidate operation information based on the evaluation results.
  • the second embodiment differs from the first embodiment in the method of generating transportation routes to be included in the operation information.
  • the second embodiment will be described below, focusing on the differences from the first embodiment.
  • the system configuration of the second embodiment is the same as that of the first embodiment.
  • the configuration of the operation information generation support system 100 of the second embodiment is the same as that of the first embodiment.
  • the processing flow of the system of the second embodiment is the same as that of the first embodiment.
  • the candidate operation information generation process of the second embodiment is the same as that of the first embodiment.
  • the method of generating transportation routes is different.
  • the number of passengers and cargo When the number of passengers and cargo is large, the number of transportation routes becomes enormous. Therefore, there is a problem in that the calculation cost (calculation time and amount of calculation) required to search for a transportation route is high. Therefore, in the second embodiment, the number of cargo that can be transported during passenger transportation is set in advance, and a transportation route is generated for transportation of cargo exceeding the set number after the passenger is transported.
  • FIG. 10 is a flowchart illustrating an example of the transportation route generation process executed by the operation information generation support system 100 of the second embodiment.
  • the operation information generation unit 121 sets a parameter l indicating the number of cargo to 0 (step S301).
  • the operation information generation unit 121 generates l cargo selection patterns (step S302).
  • the operation information generation unit 121 selects one selection pattern (step S303).
  • the operation information generation unit 121 transports passengers and cargo included in the selected pattern, and then generates a transport route for transporting the remaining cargo (step S304).
  • the operation information generation unit 121 determines whether processing has been completed for all selection patterns (step S305).
  • the operation information generation unit 121 returns to step S303 and executes the same processing.
  • the operation information generation unit 121 determines whether the value of the variable l is larger than the upper limit value L (step S306).
  • the operation information generation unit 121 sets the value obtained by adding 1 to the value of the variable l to the variable l (step S307), and then returns to step S302.
  • the operation information generation unit 121 ends the process.
  • Example 2 when passenger satisfaction is given priority, transportation that satisfies the requirements of the three parties as much as possible while maintaining passenger satisfaction by adjusting the number of cargo transported during passenger transportation. Routes can be generated efficiently. That is, by adjusting the number of cargo to be transported when transporting passengers, the search range for the transport route can be reduced, so calculation costs can be reduced.
  • Example 3 a description will be given of mixed cargo and passenger loading using a train whose travel route and operation schedule are fixed.
  • the system configuration of the third embodiment is the same as that of the first embodiment.
  • reservations are not required from passengers.
  • the configuration of the operation information generation support system 100 of the third embodiment is the same as that of the first embodiment. However, the information included in the control information 110 is different.
  • the control information 110 of the third embodiment includes route information 1100 and congestion degree information 1110.
  • FIG. 11A is information showing an example of route information 1100 according to the third embodiment.
  • FIG. 11B is a diagram illustrating an example of congestion degree information 1110 according to the third embodiment.
  • the route information 1100 stores entries including a route ID 1101, a route 1102, and an operation schedule 1103.
  • Route ID 1101 is a field that stores identification information for uniquely identifying a route.
  • Route 1102 is a field that stores a departure point, a stopover point, and a destination.
  • the operation schedule 1103 is a field group that stores the operation schedule of the route. One field exists for one operation schedule.
  • the congestion degree information 1110 stores entries including a route ID 1111, a departure time 1112, and a congestion degree 1113.
  • the route ID 1111 is the same field as the route ID 1101.
  • the departure time 1112 is a field that stores the departure time of the departure point.
  • the congestion degree 1113 is a field that stores the congestion degree indicating the degree of vacancy of seats on the train when the train is operated according to the operation schedule.
  • the operation information generation support system 100 may hold information on an inference model that outputs the congestion degree instead of the congestion degree information 1110.
  • the inference model accepts, for example, the route, departure time, season, etc. as input, and outputs the degree of congestion.
  • the processing flow of the system of the third embodiment is the same as that of the first embodiment. However, when accepting a passenger's reservation, the operation information generation support system 100 notifies that the reservation has been made and does not transmit the transportation flight information. Furthermore, the screen displayed on the terminal 101-1 based on the display information is different from the first embodiment.
  • FIG. 12 is a diagram showing an example of a transportation schedule selection screen displayed on the terminal 101 of the third embodiment.
  • the transportation schedule selection screen 1200 includes a table 1210 and a hiring button 1220.
  • the table 1210 is a table that displays transportation schedules (candidate operation information group) generated and narrowed down by the operation information generation support system 100, and includes entries including selection 1211, NO 1212, transportation schedule 1213, and evaluation index 1214. include. One entry exists for one transportation schedule.
  • Selection 1211 is a field that displays radio buttons for selecting the transportation schedule to be adopted.
  • NO1212 is a field that stores the identification number of the transportation schedule.
  • the transportation schedule 1213 is a field that stores specific contents of the transportation schedule.
  • the transportation schedule 1213 stores candidate operation information including route IDs, operation schedules, and freight transportation routes.
  • the evaluation index 1214 is a field group that stores evaluation indices.
  • the adoption button 1220 is an operation button for notifying adoption of the transportation schedule selected in the selection 1211.
  • FIG. 13 is a flowchart illustrating an example of candidate operation information generation processing executed by the operation information generation support system 100 of the third embodiment.
  • the operation information generation unit 121 acquires the cargo reservation information received by the request reception unit 120 (step S401).
  • the operation information generation unit 121 selects one cargo (step S402).
  • the operation information generation unit 121 specifies the route and operation schedule used for transporting the selected cargo (step S403). When reloading cargo is necessary, a combination of routes and operation schedules is specified. The operation information generation unit 121 generates cargo identification information, routes, and operation schedules as transportation data.
  • the operation information generation unit 121 determines whether processing has been completed for all cargo (step S404).
  • the operation information generation unit 121 returns to step S402 and executes the same processing.
  • the operation information generation unit 121 When the processing is completed for all cargoes, the operation information generation unit 121 combines the transportation data of each cargo to generate a transportation schedule (step S405). Note that for each route, an upper limit for the number of freight transports is set for each operation schedule, and the operation information generation unit 121 combines transport data so as not to exceed the transport upper limit.
  • the operation information generation unit 121 selects one transportation schedule (step S406).
  • the operation information generation unit 121 generates candidate operation information by integrating transportation data with the same route and operation schedule (step S407).
  • the evaluation index calculation unit 122 calculates the evaluation index of the candidate operation information (step S408).
  • the evaluation index for transportation operators, passengers, and shippers, and the method for calculating the comprehensive evaluation index will be explained.
  • the evaluation index for transportation operators is calculated using a function y 1 whose explanatory variables are the tolerance x 11 for increases in personnel costs associated with freight transportation and the satisfaction level x 12 corresponding to increases in revenue associated with freight transportation. be done.
  • the tolerance level x 11 is calculated using, for example, equation (7)
  • the satisfaction level x 12 is calculated using, for example, equation (8).
  • C represents the personnel cost when cargo is not transported
  • ⁇ C represents the increase in personnel cost associated with transporting the cargo.
  • S is a constant.
  • I represents the revenue per route
  • ⁇ I represents the amount of increase in revenue due to freight transportation.
  • the passenger evaluation index is calculated using a function y 2 whose explanatory variables are tolerance x 21 for vehicle congestion and tolerance x 22 for not being able to take a seat due to cargo transportation.
  • the tolerance x 21 is calculated, for example, using equation (9)
  • the tolerance x 22 is calculated, for example, using equation (10).
  • A is a constant and R represents the degree of congestion.
  • S sit and S stand are constants, and r sit represents the proportion of passengers who can be seated.
  • r sit is a function that depends on the degree of vehicle congestion. Note that the value of A may be changed depending on the season.
  • the consignor's evaluation index is calculated using a function y 3 that uses the satisfaction level x 3 with respect to transportation time as an explanatory variable.
  • the satisfaction level x3 is calculated using, for example, equation (11).
  • ⁇ t represents the difference between the desired transport time and the actual transport time.
  • the method for calculating the comprehensive evaluation index Y is the same as in Example 1.
  • the transportation operator may include information on the explanatory variables to be used and information on restrictions on the values of the explanatory variables in the control information 110.
  • the method for calculating the evaluation index described above is just an example, and the method is not limited thereto.
  • the evaluation index calculation unit 122 calculates the evaluation index of the transportation schedule based on the evaluation index of the candidate operation information (step S409).
  • the evaluation index calculation unit 122 calculates the maximum value, average value, or total value of the evaluation index of the candidate operation information included in the transportation schedule as the evaluation index of the transportation schedule.
  • the evaluation index calculation unit 122 determines whether processing has been completed for all transportation schedules (step S410).
  • the evaluation index calculation unit 122 returns to step S406 and executes the same processing.
  • the evaluation unit 123 selects a transportation schedule to present based on the evaluation index of the transportation schedule (step S411).
  • the transportation operator sets the threshold value of the evaluation index as a control parameter in the control information 110, and also sets the constraint condition of the evaluation index using the threshold value in the control information 110.
  • the evaluation unit 123 selects a transportation schedule that satisfies the constraints of the evaluation index.
  • the evaluation unit 123 generates display information (step S412) and outputs it to the notification unit 124 (step S413). Specifically, the evaluation unit 123 sorts the transportation schedules based on the evaluation index and generates display information for displaying the sorted transportation schedules. For example, the evaluation unit 123 sorts the transportation schedules in descending order of overall evaluation index.
  • the notification unit 124 transmits display information to the terminal 101-1 operated by the transportation operator.
  • the present invention is not limited to the above-described embodiments, and includes various modifications. Further, for example, the configurations of the embodiments described above are explained in detail in order to explain the present invention in an easy-to-understand manner, and the present invention is not necessarily limited to having all the configurations described. Further, a part of the configuration of each embodiment can be added to, deleted from, or replaced with other configurations.
  • each of the above-mentioned configurations, functions, processing units, processing means, etc. may be partially or entirely realized by hardware, for example, by designing an integrated circuit.
  • the present invention can also be realized by software program codes that realize the functions of the embodiments.
  • a storage medium on which a program code is recorded is provided to a computer, and a processor included in the computer reads the program code stored on the storage medium.
  • the program code itself read from the storage medium realizes the functions of the embodiments described above, and the program code itself and the storage medium storing it constitute the present invention.
  • Examples of storage media for supplying such program codes include flexible disks, CD-ROMs, DVD-ROMs, hard disks, SSDs (Solid State Drives), optical disks, magneto-optical disks, CD-Rs, magnetic tapes, A non-volatile memory card, ROM, etc. are used.
  • program code that implements the functions described in this embodiment can be implemented in a wide range of program or script languages, such as assembler, C/C++, Perl, Shell, PHP, Python, and Java.
  • the software program code that realizes the functions of the embodiment can be stored in a storage means such as a computer's hard disk or memory, or a storage medium such as a CD-RW or CD-R.
  • a processor included in the computer may read and execute the program code stored in the storage means or the storage medium.
  • control lines and information lines are those considered necessary for explanation, and not all control lines and information lines are necessarily shown in the product. All configurations may be interconnected.

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  • Engineering & Computer Science (AREA)
  • Automation & Control Theory (AREA)
  • Transportation (AREA)
  • Mechanical Engineering (AREA)
  • Management, Administration, Business Operations System, And Electronic Commerce (AREA)

Abstract

Ordinateur qui aide à la génération d'informations d'exploitation pour un véhicule qui transporte des passagers et du fret, ledit ordinateur : générant des informations d'exploitation candidates comprenant des itinéraires de transport de fret ; calculant, pour chaque ensemble d'informations d'exploitation candidates, un premier indice d'évaluation qui indique le degré de réalisation d'une demande de passager associée au transport de cargaison, un deuxième indice d'évaluation indiquant le degré de réalisation d'une demande faite par un demandeur demandant le transport de la cargaison, et un troisième indice d'évaluation qui indique le degré de réalisation d'une demande faite par un opérateur commercial qui fournit des services de transport à l'aide d'un véhicule ; sélectionnant des informations d'exploitation candidates utilisables sur la base du premier indice d'évaluation, du deuxième indice d'évaluation et du troisième indice d'évaluation ; et transmettant les informations d'exploitation candidates sélectionnées.
PCT/JP2022/010305 2022-03-09 2022-03-09 Ordinateur, procédé d'aide à la génération d'informations d'exploitation, système informatique et programme WO2023170823A1 (fr)

Priority Applications (1)

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PCT/JP2022/010305 WO2023170823A1 (fr) 2022-03-09 2022-03-09 Ordinateur, procédé d'aide à la génération d'informations d'exploitation, système informatique et programme

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PCT/JP2022/010305 WO2023170823A1 (fr) 2022-03-09 2022-03-09 Ordinateur, procédé d'aide à la génération d'informations d'exploitation, système informatique et programme

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Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019524556A (ja) * 2016-08-28 2019-09-05 中▲車▼青▲島▼四方▲機車車▼輌股▲分▼有限公司Ｃｒｒｃ Ｑｉｎｇｄａｏ Ｓｉｆａｎｇ Ｃｏ．， Ｌｔｄ． 二層の鉄道車両
JP2021081833A (ja) * 2019-11-15 2021-05-27 トヨタ自動車株式会社 車両制御システム

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP2019524556A (ja) * 2016-08-28 2019-09-05 中▲車▼青▲島▼四方▲機車車▼輌股▲分▼有限公司Ｃｒｒｃ Ｑｉｎｇｄａｏ Ｓｉｆａｎｇ Ｃｏ．， Ｌｔｄ． 二層の鉄道車両
JP2021081833A (ja) * 2019-11-15 2021-05-27 トヨタ自動車株式会社 車両制御システム

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