JP2006096553A - Operation plan making method - Google Patents

Abstract

<P>PROBLEM TO BE SOLVED: To provide an operation plan making method capable of estimating the number of persons and a vehicle required for realizing transport in a time required by a customer, by precisely predicting the whole required time required for realizing the operation plan required by the customer and preventing the performance of an unreasonable operation plan from the first. <P>SOLUTION: This invention is characterized by making the operation plan on the basis of an acquired predicted values of travel time and allowance time, by acquiring a predicted values of staying time of an operation passage on the basis of extracted operation result information, by acquiring the predicted values of the travel time in every operation passage on the basis of extracted operation result information, by extracting the operation result information having an operation attribute similar to the inputted operation passage and/or corresponding to an inputted operation attribute, by accepting input of an operation condition having at least the operation passage being an object of the operation plan and the operation attribute for indicating a travel condition of the operation passage. <P>COPYRIGHT: (C)2006,JPO&NCIPI

Description

The present invention relates to a method for creating a transportation vehicle operation plan.

  In the creation of vehicle operation plans in the transportation industry, it was customary to create an operation plan with a certain amount of margin, but in recent years in pursuit of rationalization of economy, in order to reduce logistics costs There is a tendency for margin time estimated in the operation plan to be cut. If the margin time is excessively reduced, an operation plan that cannot be realized by operation within the legal speed range may be made.

  However, in many cases, the transporter cannot accept an accurate operation prediction and accepts an unreasonable operation plan prepared by the customer. In such a case, if the unreasonable driving exceeding the legal speed was performed in order to respond to the customer's request, the business credibility cultivated by the transporter was lost and the future sales activities were difficult. Will lead to a situation.

  In addition, under administrative guidance, it has become mandatory to attach a speed limiter to the transport vehicle so that it cannot travel beyond the legal speed range, but it cannot be reached by operation within the legal speed range from the beginning. Even though it is an operation plan, receiving an order for an unreasonable operation plan as it cannot be accurately predicted will lead to a situation in which a trader who observes the administrative guidance suffers a disadvantage.

Therefore, it is necessary for the transporter to accurately estimate whether or not the operation plan requested by the customer can be realized. In patent document 1, by inferring the optimum route and required time to the destination in the instructed condition based on the data obtained by classifying and registering the operation result collected from the operation result collection device loaded in the vehicle for each condition. A vehicle operation prediction system capable of improving accuracy is disclosed. According to this system, it is said that an accurate operation prediction can be performed only by giving a travel condition such as a travel time zone and weather for all routes for which past operation results have been acquired.
JP-A-6-290191

  The transporter not only arrives at the destination designated by the customer by the time requested by the customer, but also needs to complete the loading and unloading work of the load. The time required for the loading / unloading work varies depending on the amount of loaded luggage, the weight of the loaded luggage, the number of workers involved in the loading / unloading work, equipment at the work place, and the like. Therefore, simply calculating the required time to the destination using the past past operation results, the time and load required to secure the delivery route to the delivery destination for the loading and unloading work after arrival at the destination. There may be a delay due to a time that does not contribute to the traveling time such as the time of descending work. In particular, when an operation plan for patroling a plurality of destinations is executed, the delay due to the work after arrival at the destination is a great burden for realizing the planned operation plan. Therefore, in order to realize the entire operation plan, it is necessary to estimate the total required time including the standby time generated in the operation route and the loading / unloading work time of the load.

  In order to realize the operation plan requested by the customer, it is also necessary to accurately estimate the personnel and vehicles required to complete the delivery of the load within the required time required by the customer.

  Therefore, the present invention accurately predicts the entire time required to realize the operation plan requested by the customer, prevents the execution of the operation plan that is impossible from the beginning, and also requires the customer to It is an object of the present invention to provide an operation plan creation method capable of estimating personnel, vehicles, and the like necessary for realizing transportation within a certain time.

  The present invention subdivides the operation results into routes between points, stores past operation results classified and registered based on the conditions set according to the driving conditions of the routes, and is similar or applicable to the driving conditions of the operation plan An operation plan creation method for creating an operation plan based on past operation results to be performed, the operation condition input having at least an operation route subject to the operation plan and an operation attribute indicating a travel condition of the operation route. Operation history information that includes a travel time that is similar to the input travel route and / or that corresponds to the input travel attribute and that does not contribute to travel on the travel route. Based on the extracted operation result information, obtaining a predicted value of the travel time of the operation route of the operation plan, and on the basis of the extracted operation result information, Get the predicted value of the residence time that does not contribute to the running of the service route, characterized by creating a trip plan based on the predicted value of the acquired travel time and residence time.

  Moreover, this invention is the above-mentioned operation plan creation method, Comprising: In the said extraction, when the said operation performance information which has the operation attribute applicable to the input operation attribute does not exist more than predetermined number, the said input operation attribute The operation result information having the operation attribute that does not correspond to the above is extracted, and the extracted operation result is based on the difference between the operation attribute of the extracted operation result information and the input operation attribute. The information is corrected, the predicted value of the travel time of the operation route of the operation plan is acquired based on the extracted and corrected operation result information, and the operation plan is acquired based on the extracted and corrected operation result information. The predicted value of the stay time that does not contribute to the travel of the travel route is acquired, and the travel plan is created based on the acquired predicted value of the travel time and the stay time.

  Further, the present invention is the above-described operation plan creation method, wherein the acquired travel time includes the travel time of the travel route included in the travel condition received by the input of the travel condition, and includes the required time in the travel route. When the travel plan is created based on the predicted values of the travel time and the stay time, the acquired travel time is less than the required time, and the sum of the acquired travel time and the stay time is the required time. If it exceeds, a running condition that matches the required time is created.

  The operation plan creation method of the present invention accurately predicts the entire time required for realizing the operation plan requested by the customer, prevents the execution of the operation plan that is impossible from the beginning, It becomes possible to estimate personnel, vehicles, and the like necessary for realizing transportation within the time required by the customer.

  Embodiments of the present invention will be described below with reference to the drawings.

  An embodiment of the present invention will be described with reference to FIG. FIG. 1 is a diagram showing a system configuration in an embodiment of the present invention. In the system configuration shown in FIG. 1, an operation prediction device 100 that creates a vehicle operation plan, a vehicle terminal 200 that is mounted on the vehicle and records the operation position of the vehicle, and an artificial that is used to specify the operation position of the vehicle. The operation prediction device 100 and the vehicle terminal 200 can communicate with each other via a network.

  The operation prediction device 100 includes a performance collection means 110 that collects various performance information from the vehicle terminal, an operation performance recording means 120 that records operation performance information from the various performance information collected from the vehicle terminal, and an operation condition for performing operation prediction. It is predicted from the operation condition input means 130 to be input, the operation result extraction means 140 that extracts past operation result information similar to the conditions when the operation is predicted, and the past result information extracted by the operation result extraction means. A stay time estimating means 150 for estimating a stay time that does not contribute to travel on the route, an operation time estimating means 160 for estimating a travel time estimated by the above-mentioned operation result extracting means, a stay time estimating means and an operation time estimate The operation plan creation means 170 for creating an operation plan based on the predicted value obtained by the means, the travel record information D10 collected from the vehicle terminal by the record collection means, the stay record information D20, Track record information D30, track record information D70 consisting of track record information, track attribute information D40 indicating attribute information related to the track, such as weather during operation, weight of cargo, etc. It has vehicle attribute information D50 indicating attribute information about the vehicle such as quantity, and operation plan information D60 indicating operation information such as operation time estimated by operation prediction.

  The vehicle terminal 200 includes an operation position detection unit 210 that identifies the current position of the vehicle based on a signal from the artificial satellite 300, and an operation result recording unit 220 that records the current position of the vehicle obtained from the operation position detection unit together with the date and time. And a stay record recording means 230 that records the record of the vehicle staying within a certain area in the effective process of the operation plan, and a work record of performing work such as loading and unloading of the load during the stay period A record recording means 240 is provided.

  The artificial satellite 300 provides a positioning service such as an existing GPS, and may not be included in the configuration constructed by the practitioner for realizing the system configuration according to the embodiment of the present invention.

  FIG. 2 is a diagram showing a configuration of the running record information D10. The travel performance information D10 includes an operation ID (D11) that identifies a series of travel performance information related to the execution of the operation plan, a vehicle ID (D12) that identifies the vehicle, and a date and time D13 that indicates the date and time when the travel performance information was recorded. And a position (latitude, longitude) D14 indicating the position of the vehicle at that time, and an attribute ID (D15) indicating attribute information such as cargo related to the operation.

  FIG. 3 is a diagram showing a configuration of the operation attribute information D40. The operation attribute information D40 is loaded with the attribute ID (D41) for specifying the attribute information, the weather D42 indicating the weather during operation, the number of passengers D43 indicating the number of passengers of the vehicle during operation, and the time of operation. Loading information D44 indicating loading information is included. The load information D44 includes a load ID (D441) for specifying the load information, a type D442 indicating the type of load, a weight D443 indicating the weight per load, a number D444 indicating the number of loaded loads, It has a delivery destination D445 indicating the delivery destination.

  FIG. 4 is a diagram showing a configuration of the vehicle attribute information D50. The vehicle attribute information D50 includes a vehicle ID (D51) that identifies the vehicle, a vehicle type D52 that indicates the vehicle type of the vehicle, and an exhaust amount D53 that indicates the exhaust amount of the vehicle.

  FIG. 5 is a diagram showing the structure of the stay record information D20. The stay result information D20 includes an operation ID (D21) for specifying the stay result information in association with the operation result information, a position (latitude, longitude) D22 indicating the position of the vehicle at the time of stay, and a stay time indicating the stay time. D23 and a stay reason D24 indicating the reason for the stay.

  FIG. 6 is a diagram showing a configuration of work performance information D30. The work performance information D30 indicates an operation ID (D31) for identifying the work performance information in association with the operation performance information, a position (latitude, longitude) D32 indicating the position of the vehicle at the time of work, and a time when the work is started. It has a start time D33, a work type D34 indicating the type of work, and a load ID D35 that identifies the load that is the target of the work.

  FIG. 7 is a diagram showing the configuration of the operation result information D60. The operation result information D60 includes an operation ID (D61) for specifying operation result information, a route pattern D62 indicating an operation route, and operation route information D63. The operation route information D63 includes a route ID (D631) for specifying operation route information, a start point (latitude and longitude) D632 indicating the start point of the route, an end point (latitude and longitude) D633 indicating the end point of the route, and the operation route. The operation attribute ID (D634) for specifying the operation attribute information associated with the information, the vehicle ID (D635) associated with the operation route information, and the time from the start point to the end point of the route are indicated. A travel time D636 and a total stay time D637 indicating the time of work and the like occurring on the route are included.

  FIG. 8 is a diagram showing the configuration of the operation plan information D70. The operation plan information D70 includes an operation ID (D71), a route pattern D72, and an operation route information D73, like the above-described operation result information D60. Similarly to the operation route information D73 of the operation result information D60 described above, the operation route information D73 also includes a route ID (D731), a start point D732, an end point D733, an operation attribute ID (D734), and a vehicle ID (735). And travel time D736 and total stay time D737.

  FIG. 12 shows an example of the contents of the correction coefficient list D80. The correction coefficient list D80 includes an operation attribute D81 and a correction coefficient D82. In the example shown in FIG. 12, an example of the contents of a list of each attribute value and the correction coefficient D82 corresponding to the attribute “weather” of the operation attribute is shown.

[Explanation of processing flow]
Next, a processing flow of the system according to the embodiment of the present invention will be described with reference to FIG. FIG. 9 is a diagram showing a flow of operation prediction processing in preparation of an operation plan. In performing the operation prediction process shown in FIG. 9, the operation result information D10, the stay result information D20, the operation result information D30, and the operation attribute information D40 of the operation prediction device 100 are obtained by the result collection means 110 of the operation prediction device 100. It is assumed that the operation record information D60 is collected from the travel record recording unit 220, the stay record recording unit 230, and the work record recording unit 240 of each vehicle terminal 200. Note that the present invention does not limit the method of collecting various performance information from the vehicle terminal 200. For example, the data may be collected using wired or wireless communication, or may be configured as a method of collecting using a portable storage medium.

  Next, in the flow of operation prediction processing performed by the operation prediction device 100, first, an operation route to be subjected to operation prediction is input (S101 in FIG. 9). An example of an operation route input is shown in FIG. In the example shown in FIG. 10, a route 1 and a route 2 connecting points A, B, and C are input on the map of the Kyushu region displayed on the screen. In addition, the method of inputting a route | root using the map displayed on a screen like the example of FIG. 10 may be used, or the method of inputting a route | root by inputting the address of a point, etc. may be used. Further, although the example shown in FIG. 10 is an example of three points, the present invention is not limited to this.

  The operation prediction apparatus 100 that has received the input operation route extracts operation result information D60 having operation route information D63 similar to the input operation route (S102 in FIG. 9). Here, being similar to the input operation route means having a point belonging to the vicinity of the start point and end point of the input operation route. For example, an operation record having an operation route similar to the route 1 and the route 2 connecting the points A, B, and C shown in FIG. 10 is as shown in FIG. In other words, in the example shown in FIG. 11, the operation record 1 has an operation route having a start point and an end point in the vicinity of the points A, B, and C, and a start point and an end point in the vicinity of the points A and B. Operation record 2 with operation route, operation result 3 with operation route having start point and end point in the vicinity of points B and C, and operation route having start point and end point in the vicinity of points A and B Operation record 4 that has a part of, operation record 5 that has a part of the operation route that has a start point and an end point that belongs to the vicinity of points B and C, and a start point that belongs to the vicinity of points A, B, and C In addition, an operation record 6 and an operation record 7 having a part of the operation route at the end point are shown.

  As a result of extracting the operation result information having a similar route by the above-described processing, the operation prediction device 100 determines whether or not the extracted operation result information exists more than a predetermined number (S103 in FIG. 9). As a result of the determination, when the operation result information D60 extracted in the above-described process S102 exists more than a predetermined number (YES in S103 in FIG. 9), an input of an operation attribute assumed in the operation route targeted for operation prediction is received. (S104 in FIG. 9). Here, the assumed operation attribute is a characteristic value indicating the expected operation situation when the operation is performed. In addition to the items of the operation attribute information D40 and the items of travel performance information D10 (that is, weather, travel time zone, number of crew members, cargo information) shown in FIG. The required time, month, day, delivery destination, etc. are appropriate. If it is determined in the above-described process S103 that there is no similar operation record (NO in S103 in FIG. 9), the operation prediction device 100 extracts all the operation record information (S111 in FIG. 9). The above-described process S104 is performed.

  Next, the operation prediction apparatus 100 that has received an operation attribute input selects operation result information corresponding to the operation attribute (S105 in FIG. 9). Here, selecting the operation result information corresponding to the operation attribute means, for example, that when the attribute indicating “rain” is input as the weather of the operation attribute, the operation attribute information D40 in which the weather D42 indicates “rain” is associated. This means that the operation result information D60 having the operation route information D63 is selected.

  Next, the operation prediction apparatus 100 that has performed the selection determines whether or not the selected operation result information D60 is greater than or equal to a predetermined number (S106 in FIG. 9). As a result of the determination, if there are more than a predetermined number of operation results information D60 selected in the above-described process S105 (YES in S106 of FIG. 9), the operation route information D63 included in the selected operation results information D60, An operation prediction is estimated based on operation result information having operation route information similar to the operation route input in the above-described process S101 (S107 in FIG. 9). Here, the estimate of the operation prediction is the operation plan information D70 based on the travel time D636, the total stay time D637, the stay result information D20, and the work result information D30 from various performance information recorded in association with the operation result information. Means setting the travel time D736 of the operation route information D73. More specifically, it is an operation route similar to the operation route targeted for operation prediction, and the average value of the actual operation route corresponding to the assumed operation attribute is calculated, and the operation plan information is calculated based on the calculated value. The travel time D736 of the operation route information D73 that D70 has is set. Note that the calculation here is not limited to arithmetic processing involving numerical calculation, but is a configuration in which processing is performed using a numerical conversion table in which values are associated with each segment obtained by subdividing the range of possible results. May be.

  Moreover, when it determines with the above-mentioned process S106 not having the corresponding operation track record (it is NO at S106 of FIG. 9), the operation prediction apparatus 100 has the operation track record extracted by process S102, or the operation track record extracted by process S111. Based on the difference between the operation attribute that has the operation attribute and the operation attribute input in step S104, the above-described operation result is corrected (S112 in FIG. 9), and a predicted value is calculated from the corrected operation result (S113 in FIG. 9). Here, correction based on the difference from the operation attribute means that each of the operation attribute information associated with the operation result information is used by using a list of correction coefficients set in association with each item value of the operation attribute. The operation obtained by obtaining the correction coefficient associated with the item value and the correction coefficient associated with the operation attribute value input in the above-described process S104, and summing up the difference of the correction coefficient for each operation attribute item It means to increase or decrease the travel time of the operation route information that the operation results have by using the result correction coefficient. The list of correction coefficients set in association with each item value of the operation attribute is, for example, a list in which correction coefficients are set in association with the effective range of the attribute value for each item of the operation attribute as shown in FIG. Say. In the example shown in FIG. 12, for the weather D42 item of the operation attribute D40, the correction coefficient “0” for the attribute values “sunny”, “sunny”, and “cloudy”, and the correction coefficient “−0.1” for the attribute value “rain”. ", The correction coefficient" -0.2 "is set for the attribute values" snow "and" heavy rain ", and the correction coefficient" -0.3 "is set for the attribute value" heavy snow ". In this example, when the weather D42 of the operation attribute information D40 included in the operation record is “clear” and the weather of the operation attribute input in the process S104 is “rain”, the operation attribute “ The difference in the correction factor for “weather” is “−0.1”. The increase / decrease in the travel time using the operation result correction coefficient means that a numerical value obtained by multiplying the travel time of the operation route information included in the operation result by the operation result correction coefficient is added to the travel time. That is, the corrected travel time D (636) 'is expressed by the following formula 1.

  Here, D (636) is the travel time D636 of the operation route information that the operation result has, a is each item value of the attribute D40 of the operation route attribute that the operation result has, and fi (a) is the operation attribute D40 Is a correction coefficient for each item value. Further, b is each item value of the operation attribute input in step S104, and fi (b) is a correction coefficient for each item value of the input operation attribute.

  FIG. 13 shows another example of the correction coefficient list. FIG. 13 is a diagram (part 2) illustrating an example of the content of the correction coefficient list D80. In the example shown in FIG. 13, the correction coefficient list D80 includes an operation attribute D81, a correction coefficient D82, and a delivery destination D83, and each value for the operation attribute “day of the week” input when the operation plan is created and the corresponding correction. An example of the contents of the list of the coefficient D82 and the delivery destination D83 is shown. In this example, the day of the week D81 to which the various types of performance information belong is the day of the week extracted from the date and time D13 of the travel performance information having the operation ID with which the various types of performance information are directly or indirectly associated. Further, the delivery destination D83 to which the various types of performance information belong becomes the delivery destination D445 of the load information D44 of the operation attribute information D40 having the attribute ID to which the various types of performance information are directly or indirectly associated. In this example, the delivery destination “AAA” has a correction factor that changes from “-0.1” to “-0.3” from Thursday to Sunday, indicating that the operation time tends to be delayed when operating near the weekend. ing. In addition, the delivery destination “BBB” indicates that the operation time tends to be delayed during operation on Tuesday and Friday. As described above, by using the correction coefficient list reflecting the tendency of the delay of the operation time according to the delivery destination, it is possible to perform an accurate operation prediction for each delivery destination having a specific tendency. Here, although the example which shows the tendency of the delay of the operation time based on a day of the week was shown, as another example, the composition which characterizes the tendency of the delay of the operation time according to the busy time or the busy time zone indicated by the date It is also good. With this configuration, it is possible to perform more accurate operation prediction based on a tendency of delay in operation time according to busy time or busy time due to a special sale day or the like performed by a customer at the delivery destination.

  Next, the operation prediction device 100 newly extracts a stay record and a work record corresponding to the end point of the operation route that is a target of the operation prediction (S108 in FIG. 9). Here, the stay record information and work record information corresponding to the end point of the operation route to be predicted for operation are the positions (latitude and longitude) D22, D32 that substantially match the end point of the operation route input in the above-described processing S101. Stay performance information D20 and work performance information D30.

  The operation predicting apparatus 100 that has obtained each result value corrects the predicted value based on the stay result information and the work result obtained in the above-described process S108 (S109 in FIG. 9). Here, the correction of the predicted value based on the stay record information and the work record information is an estimate of the total stay time D737 of the operation route information D73 included in the operation plan information D70 according to the stay reason D24 of the stay record information D20. To do. The estimate of the total stay time D737 according to the stay reason D24 is specified by, for example, the load ID (D35) of the work result information associated with the stay result information when the stay reason is “work”. Work indicated by each item value indicated in the load information D44 and the work amount indicated by the number of work personnel D36 of the work performance information, each item value of the load information included in the operation attribute input in the processing S104, the number of work personnel, etc. It means that the stay time of the stay record information is increased or decreased based on the difference from the amount.

  In addition to the correction performed based on the work amount difference indicated by each item value of the load information described above, the correction is performed based on the difference in the work site equipment indicated by the ground contact condition D37 of the work performance information. You can go. For example, the ground contact condition D37 in the work performance information represents the status of the facility at the work site where the loading / unloading work is performed, and more specifically, a smooth carry-in route between the cargo compartment of the transport vehicle and the warehouse at the delivery destination. A code indicating the status of the equipment at the work site, such as whether or not a forklift for loading and unloading work is available at the delivery destination warehouse, is assigned. Thus, the correction coefficient list is defined. With this configuration, it is possible to estimate the staying time more accurately according to the equipment status at the delivery destination.

  In addition, when the reason for the stay is “standby”, the loading path to the warehouse cannot be secured because another vehicle is loading / unloading the load, and the vehicle is waiting to secure the loading path. Represents a state. In this case, based on whether it is the busy time or the busy time zone by adopting a configuration in which the stay time is corrected using the correction coefficient list corresponding to the busy time or busy time zone such as a day of the week shown in FIG. The staying time can be increased or decreased, and the staying time can be estimated more accurately.

  Next, the operation prediction device 100 creates the operation plan information D70 using the operation route input in the above-described process S101, the operation attribute input in the process S104, and the predicted value obtained in the above-described process S107. And the said operation plan information is output as a result of operation prediction (S110 of FIG. 9).

  Note that when the operation plan information D70 is created using each predicted value, the operation plan may be optimized based on the required time of the operation route included in the operation attribute input in the above-described process S104. Here, the optimization of the operation plan based on the time required for the operation route included in the operation attribute is whether the predicted value satisfies the condition for the time required for the operation route included in the operation attribute input in the above-described process S104. In the case where the travel time prediction value obtained in the above-described process S107 or S113 satisfies the required time condition, the travel time prediction value and the stay time obtained in the above-described process S109 When the total with the predicted value does not satisfy the condition for the required time, the stay time that satisfies the required time is calculated, and an operation plan is created using the travel conditions that match the calculated stay time. . The travel condition suitable for the stay time means each item value of the operation attribute that is statistically derived from the relationship between the stay time estimated from the stay record information and the work record information and other conditions. For example, in order to shorten the work time required for loading / unloading in order to obtain a stay time that satisfies the required time, an increase in the number of personnel engaged in loading / unloading work or a reduction in the weight / number of loads is derived. Is done. The items to be optimized may be configured in advance by the user of the operation planning device.

  In addition, when the operation plan is output in the above-described process S110, the operation plan based on the optimized travel condition and the operation plan based on the travel condition before the optimization are output, and the user of the operation prediction apparatus has a plurality of operations. It is good also as a structure which can select either from an operation plan.

  The above is the flow of operation prediction processing in an embodiment of the present invention.

  As described above, in the operation plan creation method according to the present invention, based on the operation result information similar to the travel conditions of the operation plan, the total required time including the standby time generated in the operation route, the loading / unloading work time, etc. Therefore, it is possible to create a highly feasible operation plan.

  In addition, in the above-described selection process, when there is no operation record corresponding to the assumed operation attribute, the operation result is corrected based on the difference of the operation attribute. it can.

Moreover, in the above-mentioned Example, when performing the correction | amendment of the operation track record based on the difference of an operation attribute, the correction | amendment for performing the correction based on the difference of an operation attribute according to the delivery destination of the load specified by an operation attribute Since the coefficient list is selected, even when the delivery destinations have different tendencies, the operation result information can be appropriately corrected based on the difference in operation attributes, and the accuracy of operation prediction can be increased.
(Additional remark 1) The following additional remark 1 is disclosed regarding embodiment including the said Example 1. FIG.
Divide the operation results into routes between points, store past operation results classified and registered based on the conditions set according to the driving status of the route, and store past operations that are similar to or correspond to the driving conditions in the operation plan An operation plan creation method for creating an operation plan based on actual results,
Accepting an input of an operation condition having at least an operation route that is a target of the operation plan and an operation attribute indicating a travel condition of the operation route,
The operation result information including a travel time similar to the input travel route and / or having a travel route corresponding to the input travel attribute and not contributing to the travel is extracted. ,
Based on the extracted operation result information, obtain a predicted value of the travel time of the operation route of the operation plan,
Based on the extracted operation performance information, obtain a predicted value of the stay time that does not contribute to the travel of the operation route of the operation plan,
An operation plan creation method, wherein an operation plan is created based on the acquired predicted values of travel time and stay time.
(Additional remark 2) The following additional remark 2 is disclosed regarding embodiment containing the said Example 1. FIG.

A method for creating an operation plan as described in appendix 1,
In the extraction, when the operation result information having the operation attribute corresponding to the input operation attribute does not exist more than a predetermined number,
Extracting operation result information having an operation attribute that does not correspond to the input operation attribute, and based on the difference between the operation attribute of the extracted operation result information and the input operation attribute, Correct the extracted operation result information,
Based on the extracted and corrected operation result information, obtain a predicted value of the travel time of the operation route of the operation plan,
Based on the extracted and corrected operation result information, obtain a predicted value of stay time that does not contribute to the travel of the operation route of the operation plan,
An operation plan creation method, wherein an operation plan is created based on the acquired predicted values of travel time and stay time.
(Additional remark 3) The following additional remark 3 is further disclosed regarding embodiment containing the said Example 1. FIG.

The operation plan creation method described in Appendix 1 or 2,
The travel condition of the operation route that the operation condition received by the input of the operation condition includes the travel time zone or the travel time of the operation route,
The travel date and time of the operation route specified from the operation result information referred to when obtaining the predicted value of at least one of the travel time or the stay time, and the travel time zone or the travel included in the input travel condition of the operation route An operation plan creation method, wherein at least one of the travel time and the stay time is corrected based on a difference from time.
(Additional remark 4) The following additional remark 4 is further disclosed regarding embodiment including the said Example 1. FIG.

The operation plan creation method described in appendices 1 to 3,
The travel condition of the operation route that the operation condition received by the input of the operation condition includes the delivery destination of the load on the operation route,
The delivery destination of the load on the operation route specified from the operation result information referred to when obtaining the predicted value of at least one of the travel time or the stay time, and the delivery of the load included in the input travel condition of the operation route An operation plan creation method, wherein at least one of the travel time and the stay time is corrected based on a difference from the destination.
(Additional remark 5) The following additional remark 5 is disclosed regarding embodiment containing the said Example 1. FIG.

The operation plan creation method described in appendices 1 to 4,
The travel condition of the operation route that the operation condition received by the input of the operation condition includes the required time in the operation route,
When creating an operation plan based on the predicted value of the acquired travel time and stay time, the acquired travel time is less than the required time, and the acquired travel time and stay time If the total exceeds the required time,
A travel plan creation method comprising creating travel conditions that match the required time.
(Additional remark 6) The following additional remark 6 is further disclosed regarding embodiment including the said Example 1. FIG.

Divide the operation results into routes between points, store past operation results classified and registered based on the conditions set according to the driving status of the route, and store past operations that are similar to or correspond to the driving conditions in the operation plan An operation plan creation program that creates an operation plan based on actual results,
A storage means for storing start and end points of the operation route, operation result information including a travel time in the operation route and a stay time not contributing to the operation, and operation attribute information indicating a travel condition of the operation route;
An operation condition input means for receiving an input of an operation condition having at least an operation route to be an object of the operation plan and an operation attribute indicating a travel condition of the operation route;
An operation record extracting means for extracting the operation record information having an operation route similar to the input operation route and / or corresponding to the input operation attribute;
Based on the extracted operation performance information, an operation time estimation means for obtaining a predicted value of the travel time of the operation route of the operation plan;
Based on the extracted operation performance information, a stay time estimation means for obtaining a predicted value of a stay time that does not contribute to traveling on the operation route of the operation plan;
An operation plan creation program that causes a computer to function as an operation plan creation means for creating an operation plan based on the obtained predicted values of travel time and stay time.
(Additional remark 7) The following additional remark 7 is further disclosed regarding embodiment including the said Example 1. FIG.

An operation plan creation program according to appendix 6,
The operation result extracting means has an operation result having an operation attribute that does not correspond to the input operation attribute when the operation result information having the operation attribute corresponding to the input operation attribute does not exist in a predetermined number or more. Information is also extracted, based on the difference between the operation attribute of the extracted operation result information and the input operation attribute, the extracted operation result information is corrected,
The operation time estimation means acquires a predicted value of the travel time of the operation route of the operation plan based on the extracted and corrected operation result information,
The stay time estimation means acquires a predicted value of the stay time of the operation route of the operation plan based on the extracted and corrected operation result information,
The said operation plan preparation means produces an operation plan based on the acquired predicted value of the travel time and stay time, The operation plan preparation program characterized by the above-mentioned.
(Additional remark 8) The following additional remark 8 is further disclosed regarding embodiment including the said Example 1. FIG.

An operation plan creation program described in the appendix 6 or 7,
The operating condition input means includes
The travel condition of the operation route that the operation condition received by the input of the operation condition includes the travel time zone or the travel time of the operation route,
At least one of the operation time estimation means or the stay time estimation means is:
Based on the difference between the travel date and time of the operation route specified from the operation result information referred to when obtaining the predicted value and the travel time zone or the travel time included in the input travel route travel conditions, the prediction An operation plan creation program characterized by correcting values.
(Additional remark 9) The following additional remark 9 is disclosed regarding embodiment containing the said Example 1. FIG.

It is an operation plan creation program described in appendices 6 to 8,
The operating condition input means includes
The travel condition of the operation route that the operation condition received by the input of the operation condition includes the delivery destination of the load on the operation route,
At least one of the operation time estimation means or the stay time estimation means is:
Based on the difference between the delivery destination of the load on the operation route specified from the operation result information referred to when the predicted value is acquired and the delivery destination of the load included in the input travel condition of the operation route, the prediction An operation plan creation program characterized by correcting values.
(Additional remark 10) The following additional remark 10 is disclosed regarding embodiment containing the said Example 1. FIG.

It is an operation plan creation program described in appendices 6 to 9,
The operating condition input means includes
The travel condition of the operation route that the operation condition received by the input of the operation condition includes the required time in the operation route,
The operation plan creation means includes:
When creating an operation plan based on the predicted values of the calculated travel time and stay time, the calculated travel time is less than the required time, and the calculated travel time and stay time If the total exceeds the required time,
An operation plan creation program characterized by creating a travel condition suitable for the required time.

The figure which shows the system configuration | structure in one Example of this invention. The figure which shows the composition of traveling performance information The figure which shows the composition of operation attribute information The figure which shows the structure of vehicle attribute information Diagram showing the structure of stay performance information Diagram showing the structure of work performance information The figure which shows composition of operation record information Diagram showing configuration of operation plan information Diagram showing the flow of operation prediction processing Diagram showing an example of route input Diagram showing examples of similar route patterns Figure showing an example of the correction coefficient list The figure which shows the example of contents of correction coefficient list D80 (the 2)

Claims (5)

Divide the operation results into routes between points, store past operation results classified and registered based on the conditions set according to the driving status of the route, and store past operations that are similar to or correspond to the driving conditions in the operation plan An operation plan creation method for creating an operation plan based on actual results,
Accepting an input of an operation condition having at least an operation route that is a target of the operation plan and an operation attribute indicating a travel condition of the operation route,
The operation result information including a travel time similar to the input travel route and / or having a travel route corresponding to the input travel attribute and not contributing to the travel is extracted. ,
Based on the extracted operation result information, obtain a predicted value of the travel time of the operation route of the operation plan,
Based on the extracted operation performance information, obtain a predicted value of the stay time that does not contribute to the travel of the operation route of the operation plan,
An operation plan creation method, wherein an operation plan is created based on the acquired predicted values of travel time and stay time. The operation plan creation method according to claim 1,
In the extraction, when the operation result information having the operation attribute corresponding to the input operation attribute does not exist more than a predetermined number,
Extracting operation result information having an operation attribute that does not correspond to the input operation attribute, and based on the difference between the operation attribute of the extracted operation result information and the input operation attribute, Correct the extracted operation result information,
Based on the extracted and corrected operation result information, obtain a predicted value of the travel time of the operation route of the operation plan,
Based on the extracted and corrected operation result information, obtain a predicted value of stay time that does not contribute to the travel of the operation route of the operation plan,
An operation plan creation method, wherein an operation plan is created based on the acquired predicted values of travel time and stay time. The operation plan creation method according to claim 1 or 2,
The travel condition of the operation route that the operation condition received by the input of the operation condition includes the required time in the operation route,
When creating an operation plan based on the predicted value of the acquired travel time and stay time, the acquired travel time is less than the required time, and the acquired travel time and stay time If the total exceeds the required time,
A travel plan creation method comprising creating travel conditions that match the required time. Divide the operation results into routes between points, store past operation results classified and registered based on the conditions set according to the driving status of the route, and store past operations that are similar to or correspond to the driving conditions in the operation plan An operation plan creation program that creates an operation plan based on actual results,
A storage means for storing start and end points of the operation route, operation result information including a travel time in the operation route and a stay time not contributing to the operation, and operation attribute information indicating a travel condition of the operation route;
An operation condition input means for receiving an input of an operation condition having at least an operation route to be an object of the operation plan and an operation attribute indicating a travel condition of the operation route;
An operation record extracting means for extracting the operation record information having an operation route similar to the input operation route and / or corresponding to the input operation attribute;
Based on the extracted operation performance information, an operation time estimation means for obtaining a predicted value of the travel time of the operation route of the operation plan;
Based on the extracted operation performance information, a stay time estimation means for obtaining a predicted value of a stay time that does not contribute to traveling on the operation route of the operation plan;
An operation plan creation program that causes a computer to function as an operation plan creation means for creating an operation plan based on the obtained predicted values of travel time and stay time. The operation plan creation program according to claim 4,
The operation result extraction means has an operation result having an operation attribute that does not correspond to the input operation attribute when the operation result information having the operation attribute corresponding to the input operation attribute does not exist in a predetermined number or more. Information is also extracted, based on the difference between the operation attribute of the extracted operation result information and the input operation attribute, the extracted operation result information is corrected,
The operation time estimation means acquires a predicted value of the travel time of the operation route of the operation plan based on the extracted and corrected operation result information,
The stay time estimation means acquires a predicted value of the stay time of the operation route of the operation plan based on the extracted and corrected operation result information,
The said operation plan preparation means produces an operation plan based on the acquired predicted value of the travel time and stay time, The operation plan preparation program characterized by the above-mentioned.