CN111445286A - Resource scheduling method and device, electronic equipment and readable storage medium - Google Patents
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Abstract
The application discloses a resource scheduling method, a resource scheduling device, electronic equipment and a readable storage medium, and belongs to the technical field of scheduling. The method comprises the following steps: one or more virtual orders are obtained. For any virtual order comprising the virtual starting position, any virtual order is distributed to a first vehicle based on the virtual starting position in any virtual order, and the first vehicle is enabled to go to the virtual starting position in the distributed virtual order. The method comprises the steps of receiving a real order which comprises a real starting position and is sent by a user terminal, and determining a target virtual order which is matched with the real order from one or more virtual orders based on the virtual starting position and the real starting position in the one or more virtual orders. And responding to the target virtual order matched with the real order, and distributing the real order to the first vehicle corresponding to the target virtual order. According to the method and the device, the resources are scheduled before the user has the trip demand, the scheduling efficiency is high, the waiting time of the user is saved, and the trip experience of the user is good.
Description
Technical Field
The present application relates to the field of scheduling technologies, and in particular, to a method and an apparatus for resource scheduling, an electronic device, and a readable storage medium.
Background
With the development of scheduling technology, schedulable resource types are more and more, and a network appointment vehicle is one of the resource types. When the user goes out through the network car booking, the user often selects the initial position and the target position, and the network car booking platform dispatches the network car booking for the user according to the initial position and the target position selected by the user. Therefore, how to perform scheduling is a key for ensuring the user travel experience.
In the related art, after an order is generated according to a start position and a destination position selected by a user, drivers around the start position are scheduled according to the order. For the user, a plurality of steps of order distribution, driver order taking, driver driving taking and the like are required to wait for the trip. Therefore, the method provided by the related technology has long time consumption for scheduling and low scheduling efficiency. For the user, the waiting time required by the user is also long, and the trip experience of the user is influenced.
Disclosure of Invention
The embodiment of the application provides a resource scheduling method, a resource scheduling device, electronic equipment and a readable storage medium, so as to solve the problems of long time consumed by scheduling and low scheduling efficiency in the related art. The technical scheme is as follows:
in one aspect, a method for scheduling resources is provided, where the method includes:
acquiring one or more virtual orders;
for any virtual order, the any virtual order comprises a virtual starting position, the any virtual order is distributed to a first vehicle based on the virtual starting position in the any virtual order, and the first vehicle is enabled to go to the virtual starting position in the distributed virtual order;
receiving a real order sent by a user terminal, wherein the real order comprises a real starting position, and determining a target virtual order matched with the real order from the one or more virtual orders based on a virtual starting position in the one or more virtual orders and the real starting position;
in response to determining that the target virtual order matches the real order, the real order is assigned to a first vehicle corresponding to the target virtual order.
In an exemplary embodiment, the determining, from the one or more virtual orders, a target virtual order matching the real order based on a virtual starting location of the one or more virtual orders and the real starting location includes: determining a reference path for the first vehicle to travel to a virtual starting location in the assigned virtual order; and determining the virtual order corresponding to the reference path containing the real starting position as a target virtual order matched with the real order.
In an exemplary embodiment, before determining the virtual order corresponding to the reference path including the real start position as the target virtual order matching the real order, the method further includes: acquiring an actual position of the first vehicle in a reference path containing the real starting position; determining an actual distance between the actual position and the real starting position; in response to the actual distance not being greater than a distance threshold, performing the determining of the virtual order corresponding to the reference path including the real starting location as a target virtual order matching the real order.
In an exemplary embodiment, the determining, from the one or more virtual orders, a target virtual order matching the real order based on a virtual starting location of the one or more virtual orders and the real starting location includes: for any virtual order, determining the similarity between the virtual starting position in the any virtual order and the real starting position, wherein the similarity is used for indicating the similarity between the distance between the virtual starting position in the any virtual order and the real starting position; and determining the virtual order with the highest similarity in the one or more virtual orders as the target virtual order matched with the real order.
In an exemplary embodiment, after the allocating the real order to the first vehicle corresponding to the target virtual order, the method further includes: determining the acquisition time of the target virtual order and the receiving time of the real order; calculating a time difference value between the acquisition time and the receiving time, and acquiring a time saving prompt message according to the time difference value, wherein the time saving prompt message is used for prompting that the time difference value is saved; and sending the time saving prompt message to the user terminal.
In an exemplary embodiment, after the allocating the real order to the first vehicle corresponding to the target virtual order, the method further includes: calculating an order rate for the one or more virtual orders; and updating the one or more virtual orders according to the order rate to obtain updated virtual orders.
In an exemplary embodiment, after said allocating said any virtual order to a first vehicle based on a virtual starting position in said any virtual order, said method further comprises: for any first vehicle, in response to that no real order matched with the virtual order allocated to any first vehicle is received within a reference time length after the any first vehicle reaches the virtual starting position in the allocated virtual order, canceling the virtual order allocated to any first vehicle; and increasing the order distribution weight of any first vehicle.
In an exemplary embodiment, the obtaining one or more virtual orders comprises: acquiring order related information, wherein the order related information comprises one or two of historical order information and interest point information; and predicting the one or more virtual orders according to the order related information.
In an exemplary embodiment, after receiving the real order sent by the user terminal, the method further includes: in response to not determining a target virtual order that matches the real order, assigning the real order to a second vehicle based on the real starting location, the second vehicle being a vehicle not assigned to the virtual order.
In one aspect, an apparatus for scheduling resources is provided, the apparatus including:
the acquisition module is used for acquiring one or more virtual orders;
the first allocation module is used for allocating any virtual order to a first vehicle based on the virtual starting position in the any virtual order, and enabling the first vehicle to go to the virtual starting position in the allocated virtual order;
the receiving module is used for receiving a real order sent by a user terminal, wherein the real order comprises a real initial position;
a determining module, configured to determine, based on a virtual starting position of the one or more virtual orders and the real starting position, a target virtual order matching the real order from the one or more virtual orders;
and the second distribution module is used for responding to the fact that the target virtual order matched with the real order is determined, and distributing the real order to the first vehicle corresponding to the target virtual order.
In an exemplary embodiment, the determining module is configured to determine a reference path for the first vehicle to travel to a virtual starting location in the assigned virtual order; and determining the virtual order corresponding to the reference path containing the real starting position as a target virtual order matched with the real order.
In an exemplary embodiment, the determining module is further configured to: acquiring an actual position of the first vehicle in a reference path containing the real starting position; determining an actual distance between the actual position and the real starting position; in response to the actual distance not being greater than a distance threshold, performing the determining of the virtual order corresponding to the reference path including the real starting location as a target virtual order matching the real order.
In an exemplary embodiment, the determining module is configured to determine, for any virtual order, a proximity between a virtual start position in the any virtual order and the real start position, where the proximity is used to indicate a proximity between a virtual start position in the any virtual order and the real start position; and determining the virtual order with the highest similarity in the one or more virtual orders as the target virtual order matched with the real order.
In an exemplary embodiment, the apparatus further comprises: the sending module is used for determining the acquisition time of the target virtual order and the receiving time of the real order; calculating a time difference value between the acquisition time and the receiving time, and acquiring a time saving prompt message according to the time difference value, wherein the time saving prompt message is used for prompting that the time difference value is saved; and sending the time saving prompt message to the user terminal.
In an exemplary embodiment, the apparatus further comprises: an update module for calculating an order rate of the one or more virtual orders; and updating the one or more virtual orders according to the order rate to obtain updated virtual orders.
In an exemplary embodiment, the apparatus further comprises: the cancellation module is used for responding to the situation that no real order matched with the virtual order distributed by any first vehicle is received within a reference time length after the first vehicle reaches the virtual starting position in the distributed virtual order, and canceling the virtual order distributed by the first vehicle; and increasing the order distribution weight of any first vehicle.
In an exemplary embodiment, the obtaining module is configured to obtain order related information, where the order related information includes one or both of historical order information and point of interest information; and predicting the one or more virtual orders according to the order related information.
In an exemplary embodiment, the second allocating module is further configured to allocate the real order to a second vehicle based on the real starting location in response to not determining a target virtual order matching the real order, the second vehicle being a vehicle not allocated to the virtual order.
In one aspect, an electronic device is provided, the device comprising a memory and a processor; the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the resource scheduling method provided by any one of the exemplary embodiments of the present application.
In another aspect, a readable storage medium is provided, where at least one instruction is stored, and the instruction is loaded and executed by a processor to implement the resource scheduling method provided in any exemplary embodiment of the present application.
The beneficial effects brought by the technical scheme provided by the embodiment of the application at least comprise:
by means of obtaining the virtual order before receiving the real order of the user terminal and then matching the virtual order with the real order, the resource scheduling is carried out before the user has travel demands, and the scheduling efficiency and the scheduling effect are high. By the mode, the trip waiting time of the user can be saved, and the trip experience of the user is guaranteed.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the description of the embodiments are briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present application, and it is obvious for those skilled in the art to obtain other drawings based on these drawings without creative efforts.
FIG. 1 is a schematic diagram of an implementation environment provided by an embodiment of the present application;
fig. 2 is a flowchart of a resource scheduling method provided in an embodiment of the present application;
FIG. 3 is a schematic diagram of a scheduling process provided by an embodiment of the present application;
FIG. 4 is a schematic time comparison provided by an embodiment of the present application;
fig. 5 is a schematic structural diagram of a resource scheduling apparatus according to an embodiment of the present application;
fig. 6 is a schematic diagram of an electronic device provided in an embodiment of the present application.
Detailed Description
To make the objects, technical solutions and advantages of the present application more clear, embodiments of the present application will be described in further detail below with reference to the accompanying drawings.
The embodiment of the application provides a resource scheduling method, which can be applied to the implementation environment shown in fig. 1. In fig. 1, at least one terminal 11 and a server 12 are included, and the server 12 may be communicatively connected to the terminal 11 to obtain a real order from the terminal 11.
The terminal 11 may be a Personal Computer (PC), a mobile phone, a smart phone, a Personal Digital Assistant (PDA), a wearable device, a pocket PC, a tablet Computer, a smart car, a smart television, and other electronic products.
The server 12 may be a server, a server cluster composed of a plurality of servers, or a cloud computing service center.
It should be understood by those skilled in the art that the above-mentioned terminal 11 and server 12 are only examples, and other existing or future terminals or servers may be suitable for the present application and are included within the scope of the present application and are herein incorporated by reference.
Based on the implementation environment shown in fig. 1, referring to fig. 2, an embodiment of the present application provides a resource scheduling method, which can be applied to the server shown in fig. 1. As shown in fig. 2, the method includes:
The virtual order is an order obtained by predicting the travel demand of the passenger user. Since the virtual order is not an order sent according to actual travel demand, any virtual order includes a virtual start position. In an exemplary embodiment, obtaining one or more virtual orders includes: and acquiring order related information, wherein the order related information comprises one or two of historical order information and interest point information. And predicting one or more virtual orders according to the order related information.
The historical order information is order information which is completed in a historical time period, and the interest point information is information which is related to the interest point and can trigger travel demands. For example, in the case where the point of interest is a movie theater, the point of interest information may be the start and end times of a movie shown in the movie theater. By acquiring one or two of historical order information and interest point information, the quantity of travel demands of any position in any time period can be predicted. Thereafter, the arbitrary position may be used as a virtual start position, and a reference number of virtual orders may be created within the arbitrary time period. The reference number is a number that matches the above travel demand number, and for example, any number that is not greater than the travel demand number may be used as the reference number. For example, the present embodiment may perform prediction every reference time length, so as to obtain a reference number of virtual orders. The reference time period is not limited in this embodiment, and may be any value set according to experience or actual needs, such as 5 minutes, 10 minutes, and the like.
In the prediction process, if the quantity of travel demands of a certain position in a certain time period is less, it indicates that the travel demands of the passenger user in the position and the time period are lower. Even if a virtual order is created according to the quantity of travel demands at the position within the time period, the final order rate of the created virtual order is low. Therefore, in the exemplary embodiment, after the travel demand quantity of any one position in any time period is obtained through prediction, screening may be performed according to the travel demand quantity, and a virtual order is created according to the position and the time period corresponding to the travel demand quantity not less than the quantity threshold value. The position corresponding to the travel demand quantity not less than the quantity threshold value may be referred to as a hot zone, and the corresponding time period may be referred to as a hot time period. It can be appreciated that there is a greater likelihood that the passenger user will have travel needs in hot zones and periods. Therefore, the order rate of virtual orders created with the hot zone as the virtual starting location during the hot time period may also be higher. For example, a virtual order may be created with an office building as the virtual starting location during the off-duty hours of the workday, or with a movie theater as the virtual starting location at the end of a movie hotlining.
Referring to FIG. 3, after any virtual order is created, any virtual order may be assigned to a first vehicle based on the virtual starting location included in the any virtual order, the first vehicle being a vehicle driven by the driver user. For example, the allocation of the virtual order may be made according to a distance between the location of the first vehicle and a virtual starting location in the virtual order. In response to the distance between the location of the first vehicle and the virtual starting location not being greater than the distance threshold, a virtual order corresponding to the virtual starting location may be assigned to the first vehicle.
Of course, for the same virtual order, if the distances between the positions of the plurality of first vehicles and the virtual starting position in the virtual order are all smaller than the distance threshold, the virtual order may be assigned to the first vehicle closest to the virtual starting position in the plurality of first vehicles, or the first vehicle with the largest number of times of reaching the virtual starting position in the historical order, or the first vehicle with the highest order assignment weight. Wherein the order assigned weight is a weight determined from historical performance of the first vehicle. For example, the greater the number of historical orders completed by the first vehicle over the historical time, the higher the quality of the completed historical orders, and the higher the assigned weight for the first vehicle's order.
It should be noted that the first vehicle needs to go to the virtual start position in the virtual order after being assigned to the virtual order, and this process may also be referred to as a pickup process of the first vehicle. In the related art, the driver user of the first vehicle is often guided to go to the position with higher travel demand by sending a message and the like, but the guidance of the method is weak, and the driver user of the first vehicle can select to go to the position with higher travel demand or not to go to the position with higher travel demand after receiving the message, so that the capacity scheduling effect in the related art is poor. In the embodiment of the present application, the driver user of the first vehicle is guided to go to the virtual start position with higher travel demand by allocating the virtual order. Therefore, the driver user of the first vehicle will process the assigned virtual order in a normal order processing manner, that is, the driver user of the first vehicle will inevitably go to the virtual starting location. Therefore, the guidance of the embodiment is stronger, and the scheduling effect on the transport capacity is better.
In addition, as shown in fig. 3, for the created virtual orders, the virtual orders may be sorted according to a reverse order of the creation order to obtain a virtual order sequence, and the virtual order sequence is stored in the virtual order resource pool. It will be appreciated that the earlier in the creation order the virtual order is closer to the end of the sequence of virtual orders. Therefore, when the virtual order is matched with the real order in the following process, the virtual order and the real order can be sequentially taken out from the virtual order sequence stored in the virtual order resource pool and matched according to the sequence from the tail position to the initial position. By the matching method, the real orders can be preferentially distributed to the first vehicles corresponding to the virtual orders with the earlier creation sequence. Because the time that the first vehicle corresponding to the virtual order with the earlier creation sequence reaches the virtual starting position in the virtual order is also earlier, the matching mode can avoid the overlong waiting time of the driver user of the first vehicle, and ensures the use experience of the driver user of the first vehicle.
The real order is created by the passenger according to the trip demand of the passenger, and the passenger can create the real order in an application program installed on the user terminal. Then, the user terminal sends the real order to the server, so that the server receives the real order created by the passenger user. Illustratively, the real order may include a real destination location and user information such as contact, name, etc. of the passenger user in addition to the real start location.
After receiving the real order, a target virtual order matching the real order may be determined from the one or more virtual orders based on a positional relationship between a virtual starting position and the real starting position in the one or more virtual orders. Exemplary ways to determine a target virtual order that matches a real order include, but are not limited to, the following two:
the first determination method: for any virtual order, determining the similarity between the virtual starting position and the real starting position in any virtual order, wherein the similarity is used for indicating the similarity between the distance between the virtual starting position and the real starting position in any virtual order. And determining the virtual order with the highest similarity in the one or more virtual orders as the target virtual order matched with the real order. For example, the distance closeness may be determined based on one or more of a straight-line distance between the virtual start position and the real start position in any virtual order, a navigation path, and road condition information of the navigation path.
The second determination method is as follows: determining a target virtual order from the one or more virtual orders that matches the real order based on a virtual starting location and a real starting location of the one or more virtual orders, comprising: a reference path for the first vehicle to travel to a virtual starting location in the assigned virtual order is determined. And determining the virtual order corresponding to the reference path containing the real starting position as a target virtual order matched with the real order. It can be seen that the second way of determining is to take the virtual order assigned to the first vehicle heading to the real starting location in the course of the virtual starting location as the target virtual order matching the real order.
The position of the first vehicle when the first vehicle is allocated to the virtual order can be used as a starting point of the reference path, the virtual starting position is used as an end point of the reference path, one or more alternative paths between the starting point and the end point are determined according to the electronic navigation map, and the one or more alternative paths are used as the reference path. Then, as long as any one of the alternative paths can contain the real starting position, the virtual order can be used as a target virtual order matched with the real order. In the subsequent process, the alternative path containing the real starting position can be sent to the first vehicle, and the first vehicle can reach the real starting position from the current position according to the alternative path.
In an exemplary embodiment, before determining the virtual order corresponding to the reference path including the real start position as the target virtual order matching the real order, the method further includes: acquiring an actual position of a first vehicle in a reference path containing a real starting position; determining an actual distance between the actual position and the actual starting position; and in response to the actual distance not being larger than the distance threshold value, determining the virtual order corresponding to the reference path containing the real starting position as a target virtual order matched with the real order is executed again.
The actual position may be a position where the first vehicle is currently located in the course of heading to the virtual start position. And responding to the fact that the actual distance between the actual position and the actual starting position is not larger than the distance threshold value, the fact that the first vehicle does not reach the actual starting position is indicated, and the first vehicle can reach the actual starting position by continuously driving the actual distance according to the reference path. Or the first vehicle passes through the real initial position, but the first vehicle can return to the real initial position by driving the actual distance after reversing the driving direction. Therefore, in any case, the first vehicle only needs to travel a relatively short actual distance to reach the real initial position, and the experience of a driver user of the first vehicle is better. Therefore, the virtual order corresponding to the reference path including the real start position may be determined as the target virtual order matching the real order.
Alternatively, the actual position may be a position where the first vehicle has just been allocated to the virtual order and has not traveled to the virtual start position. In response to the actual distance between the actual position and the actual starting position not being greater than the distance threshold, it is indicated that the first vehicle is already near the actual starting position and the first vehicle does not need to travel too far to reach the actual starting position. Therefore, the virtual order corresponding to the reference path including the real initial position may be determined as the target virtual order matching the real order.
In an exemplary embodiment, after assigning any of the virtual orders to one of the first vehicles based on the virtual starting location in any of the virtual orders, the method further comprises: and for any first vehicle, responding to the situation that no real order matched with the virtual order distributed by any first vehicle is received within a reference time length after any first vehicle reaches the virtual starting position in the distributed virtual order, and canceling the virtual order distributed by any first vehicle. And increasing the order distribution weight of any first vehicle.
The fact that the user terminal does not send a real order matched with the virtual order allocated to any first vehicle, or the fact that the user terminal sends the real order and is allocated to other virtual orders with the building sequence before the virtual order allocated to any first vehicle can cause that a real order matched with the virtual order allocated to any first vehicle cannot be received.
Of course, in such a situation, no matter what causes, if any first vehicle continues to wait after waiting for the reference duration at the virtual start position, there is still a possibility that a real order matching the virtual order assigned to any first vehicle is not received, and the experience for the driver user of the first vehicle is poor. Therefore, the virtual order assigned to any first vehicle can be cancelled, and the order assignment weight of any first vehicle can be improved. For example, the present embodiment may add a default value on the basis of the original order distribution weight of any first vehicle to play a role in increasing the order distribution weight. In the subsequent process of allocating other orders, the higher the order allocation weight of any first vehicle is, the higher the priority is to allocate other orders to the any first vehicle. In this way, additional orders can be allocated to any of the first vehicles as quickly as possible, thereby compensating the driver users of the first vehicles. The reference time period is not limited in the present embodiment, and may be set to 10 minutes, 15 minutes, or the like empirically, for example.
And step 204, responding to the fact that the target virtual order matched with the real order is determined, and distributing the real order to the first vehicle corresponding to the target virtual order.
Referring to fig. 3, in response to that there is a target virtual order matching the real order in the acquired virtual orders and the target virtual order is already allocated to the first vehicle, the real order may be allocated to the first vehicle corresponding to the target virtual order. And in response to the target virtual order not yet being assigned to the first vehicle, indicating that an available first vehicle is still being scheduled for the target virtual order. Therefore, the method can continue to wait until the target virtual order is allocated to the first vehicle, and then allocate the real order to the first vehicle corresponding to the target virtual order. In addition, after the real order is distributed to the first vehicle corresponding to the target virtual order, the real starting position, the real destination position and the user information of the passenger user corresponding to the real order in the real order can be sent to the first vehicle, so that the driver user of the first vehicle can go to the real starting position to wait for the passenger user to take the bus, and the passenger user can be carried to the real destination position. During the process that the driver user of the first vehicle goes to the real starting position, the driver user of the first vehicle can communicate with the passenger user according to the user information of the passenger user.
Referring to fig. 4, whether a target virtual order or a real order, may be divided into five stages of creating an order, allocating the order, the driver user going to a starting location in the order, waiting for the passenger user to get on the bus, and the driver user going to a destination location in the order. In the embodiment, the virtual order is acquired before the real order of the passenger user is received, and then the virtual order is matched with the real order, so that the resource scheduling is performed before the passenger user has travel demands, the scheduling efficiency is high, and the scheduling effect is good. By the method, partial stages of the five stages can be omitted in the traveling process of the passenger user, the traveling waiting time of the passenger user is saved, and the traveling experience of the passenger user is guaranteed. And, the more stages are omitted, the longer the saved travel waiting time is, so that the better the travel experience of the passenger user is.
For example, in FIG. 4, in response to the real order matching the target virtual order being in the stage of allocating orders, i.e., the target virtual order has begun to be allocated but has not been allocated before the real order was created, the passenger user need not go through the stage of allocating orders, but rather only need to wait until the target virtual order is allocated, and then enter the stage where the driver user goes to the starting location in the order. It can be seen that in this case some of the stages of the allocation order stage are omitted. Or, in response to the stage that the target virtual order is in the state that the driver user goes to the initial position in the order, the target virtual order is distributed before the real order is created, so that the passenger user at least omits the stage of distributing the order and the stage that the driver user goes to the initial position in the order during the traveling process.
Alternatively, in response to the target virtual order being in a stage of waiting for the passenger user to board, the first vehicle is said to have reached the virtual starting position in the target virtual order. If the virtual starting position is the same as the real starting position in the real order, the passenger user omits two stages of order distribution and driver user going to the starting position in the order, and directly enters the stage of waiting for the passenger user to get on the bus. If the virtual starting position is different from the real starting position in the real order, the passenger user only needs to wait for the first vehicle to go to the real starting position from the nearby virtual starting position, and partial stages in the stage of distributing the order and the stage of the driver user going to the starting position in the order are omitted.
In an exemplary embodiment, after assigning the real order to the first vehicle corresponding to the target virtual order, the method further comprises: and determining the acquisition time of the target virtual order and the receiving time of the real order. And calculating a time difference value between the acquisition time and the receiving time, and acquiring a time saving prompt message according to the time difference value, wherein the time saving prompt message is used for prompting the saved time difference value. And sending a time saving prompt message to the user terminal.
Taking the obtaining time of the target virtual order as T1 and the receiving time of the real order as T2 as an example, if the time difference between the obtaining time and the receiving time is △ T-T1-T2, after the time difference is obtained, the time difference can be inserted into the target position in the message template, so as to obtain a time saving prompt message for prompting the passenger user that the time has been saved.
Of course, the above description is directed to the case where a target virtual order matching the real order is determined. In an exemplary embodiment, after receiving a real order sent by a user terminal, the method provided in this embodiment further includes: in response to not determining a target virtual order that matches the real order, the real order is assigned to a second vehicle based on the real starting location, the second vehicle being a vehicle not assigned to the virtual order. That is, if there is no virtual order matching the real order in the acquired virtual orders, a second vehicle that is not allocated to the virtual order and does not carry other objects around the real starting position may be scheduled, and the real order is allocated to such a second vehicle, so as to meet the travel demand of the passenger user.
In an exemplary embodiment, after assigning the real order to the first vehicle corresponding to the target virtual order, the method further comprises: an order rate for one or more virtual orders is calculated. And updating one or more virtual orders according to the order rate to obtain updated virtual orders.
Wherein, the order rate of one or more virtual orders refers to: the ratio of the virtual orders in the one or more virtual orders that can be matched with the real orders to the total virtual orders. For example, the number of the virtual orders is ten, eight virtual orders in ten virtual orders can be matched with the real orders, and the order rate of the ten virtual orders is 80%. Accordingly, the accuracy of the prediction of travel demand for the passenger user may be determined by the rate of orders for one or more virtual orders. In response to the order rate being below the threshold rate, indicating a low accuracy of the prediction of travel demand for the passenger user, a portion of the acquired virtual orders that have not yet been allocated may be cancelled. In response to the order rate not being less than the rate threshold, indicating a higher accuracy of the prediction of the travel demand for the passenger user, the number of virtual orders may be increased.
As described above, the present embodiment acquires a virtual order from order related information. For example, the present embodiment may obtain a prediction model through training by using the order related information as training data, so as to obtain one or more virtual orders through prediction by the prediction model. After the updated virtual orders are obtained according to the order rate of one or more virtual orders, the embodiment may further update the prediction model according to the updated virtual orders, so as to improve the prediction accuracy of the prediction model. So that the prediction model can output an appropriate number of virtual orders during the subsequent prediction process.
In summary, in the embodiment, by acquiring the virtual order before receiving the real order sent by the user terminal and then matching the virtual order with the real order, the resource is scheduled before the user has a travel demand, so that the scheduling efficiency is high and the scheduling effect is good. By the mode, the trip waiting time of the user can be saved, and the trip experience of the user is guaranteed.
An embodiment of the present application further provides a resource scheduling apparatus, referring to fig. 5, the apparatus includes:
an obtaining module 501, configured to obtain one or more virtual orders;
a first allocating module 502, configured to allocate any virtual order to a first vehicle based on a virtual start position in any virtual order, where any virtual order includes a virtual start position, and enable the first vehicle to go to the virtual start position in the allocated virtual order;
a receiving module 503, configured to receive a real order sent by a user terminal, where the real order includes a real starting location;
a determining module 504, configured to determine, from the one or more virtual orders, a target virtual order matching the real order based on a virtual starting position and a real starting position in the one or more virtual orders;
and a second allocating module 505, configured to allocate the real order to the first vehicle corresponding to the target virtual order in response to determining that the target virtual order matches the real order.
In an exemplary embodiment, the determining module 504 is configured to determine a reference path for the first vehicle to travel to a virtual starting location in the assigned virtual order; and determining the virtual order corresponding to the reference path containing the real starting position as a target virtual order matched with the real order.
In an exemplary embodiment, the determining module 504 is further configured to: acquiring an actual position of a first vehicle in a reference path containing a real starting position; determining an actual distance between the actual position and the actual starting position; in response to the actual distance not being greater than the distance threshold, performing a determination of the virtual order corresponding to the reference path including the real starting location as a target virtual order matching the real order.
In an exemplary embodiment, the determining module 504 is configured to determine, for any virtual order, a similarity between a virtual start position in any virtual order and a real start position, where the similarity is used to indicate a similarity between distances between the virtual start position in any virtual order and the real start position; and determining the virtual order with the highest similarity in the one or more virtual orders as the target virtual order matched with the real order.
In an exemplary embodiment, the apparatus further comprises: the sending module is used for determining the acquisition time of the target virtual order and the receiving time of the real order; calculating a time difference value between the acquisition time and the receiving time, and acquiring a time saving prompt message according to the time difference value, wherein the time saving prompt message is used for prompting the saved time difference value; and sending a time saving prompt message to the user terminal.
In an exemplary embodiment, the apparatus further comprises: the updating module is used for calculating the order rate of one or more virtual orders; and updating one or more virtual orders according to the order rate to obtain updated virtual orders.
In an exemplary embodiment, the apparatus further comprises: the cancellation module is used for responding to the situation that no real order matched with the virtual order distributed by any first vehicle is received within a reference time length after any first vehicle reaches the virtual starting position in the distributed virtual order, and canceling the virtual order distributed by any first vehicle; and increasing the order distribution weight of any first vehicle.
In an exemplary embodiment, the obtaining module 501 is configured to obtain order related information, where the order related information includes one or both of historical order information and point of interest information; and predicting one or more virtual orders according to the order related information.
In an exemplary embodiment, the second allocating module 505 is further configured to allocate the real order to a second vehicle based on the real starting location in response to not determining the target virtual order matching the real order, the second vehicle being a vehicle not allocated to the virtual order.
In summary, in the embodiment, by obtaining the virtual order before receiving the real order of the user terminal and then matching the virtual order with the real order, the resource is scheduled before the user has a travel demand, so that the scheduling efficiency is high and the scheduling effect is good. By the mode, the trip waiting time of the user can be saved, and the trip experience of the user is guaranteed.
It should be noted that, when the apparatus provided in the foregoing embodiment implements the functions thereof, only the division of the functional modules is illustrated, and in practical applications, the functions may be distributed by different functional modules according to needs, that is, the internal structure of the apparatus may be divided into different functional modules to implement all or part of the functions described above. In addition, the apparatus and method embodiments provided by the above embodiments belong to the same concept, and specific implementation processes thereof are described in the method embodiments for details, which are not described herein again.
Referring to fig. 6, which shows a schematic structural diagram of a terminal 600 according to an embodiment of the present disclosure, the terminal 600 may be a portable mobile terminal, such as a smart phone, a tablet computer, an MP3 player (Moving Picture expert group Audio L layer III), a notebook computer, or a desktop computer.
In general, the terminal 600 includes: a processor 601 and a memory 602.
The memory 602 may include one or more computer-readable storage media, which may be non-transitory. The memory 602 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in the memory 602 is used to store at least one instruction for execution by the processor 601 to implement the resource scheduling method provided by the method embodiments of the present application.
In some embodiments, the terminal 600 may further optionally include: a peripheral interface 603 and at least one peripheral. The processor 601, memory 602, and peripheral interface 603 may be connected by buses or signal lines. Various peripheral devices may be connected to the peripheral interface 603 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of the group consisting of a radio frequency circuit 604, a display 605, a camera 606, an audio circuit 607, a positioning component 608, and a power supply 609.
The peripheral interface 603 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 601 and the memory 602. In some embodiments, the processor 601, memory 602, and peripheral interface 603 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 601, the memory 602, and the peripheral interface 603 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.
The Radio Frequency circuit 604 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 604 communicates with communication networks and other communication devices via electromagnetic signals. The rf circuit 604 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 604 comprises: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 604 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generations of mobile communication networks (2G, 3G, 4G, and 6G), Wireless local area networks, and/or Wi-Fi (Wireless Fidelity) networks. In some embodiments, the rf circuit 604 may further include NFC (Near Field Communication) related circuits, which are not limited in this application.
The Display 605 is used to Display a UI (User Interface) which may include graphics, text, icons, video and any combination thereof, when the Display 605 is a touch Display, the Display 605 also has the ability to capture touch signals on or over the surface of the Display 605. the touch signals may be input to the processor 601 for processing as control signals, at which time the Display 605 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard.
The camera assembly 606 is used to capture images or video. Optionally, camera assembly 606 includes a front camera and a rear camera. Generally, a front camera is disposed at a front panel of the terminal, and a rear camera is disposed at a rear surface of the terminal. In some embodiments, the number of the rear cameras is at least two, and each rear camera is any one of a main camera, a depth-of-field camera, a wide-angle camera and a telephoto camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize panoramic shooting and VR (Virtual Reality) shooting functions or other fusion shooting functions. In some embodiments, camera assembly 606 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.
The positioning component 608 is used to locate the current geographic location of the terminal 600 to implement navigation or L BS (L geographic based Service). the positioning component 608 can be a positioning component based on the united states GPS (global positioning System), the beidou System of china, the greiner System of russia, or the galileo System of the european union.
In some embodiments, the terminal 600 also includes one or more sensors 610. The one or more sensors 610 include, but are not limited to: acceleration sensor 611, gyro sensor 612, pressure sensor 613, fingerprint sensor 614, optical sensor 615, and proximity sensor 616.
The acceleration sensor 610 may detect the magnitude of acceleration in three coordinate axes of a coordinate system established with the terminal 600. For example, the acceleration sensor 611 may be used to detect components of the gravitational acceleration in three coordinate axes. The processor 601 may control the display screen 605 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 611. The acceleration sensor 611 may also be used for acquisition of motion data of a game or a user.
The gyro sensor 612 may detect a body direction and a rotation angle of the terminal 600, and the gyro sensor 612 and the acceleration sensor 611 may cooperate to acquire a 3D motion of the user on the terminal 600. The processor 601 may implement the following functions according to the data collected by the gyro sensor 612: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.
Pressure sensors 613 may be disposed on the side bezel of terminal 600 and/or underneath display screen 605. When the pressure sensor 613 is disposed on the side frame of the terminal 600, a user's holding signal of the terminal 600 can be detected, and the processor 601 performs left-right hand recognition or shortcut operation according to the holding signal collected by the pressure sensor 613. When the pressure sensor 613 is disposed at the lower layer of the display screen 605, the processor 601 controls the operability control on the UI interface according to the pressure operation of the user on the display screen 605. The operability control comprises at least one of a group consisting of a button control, a scroll bar control, an icon control and a menu control.
The fingerprint sensor 614 is used for collecting a fingerprint of a user, and the processor 601 identifies the identity of the user according to the fingerprint collected by the fingerprint sensor 614, or the fingerprint sensor 614 identifies the identity of the user according to the collected fingerprint, when the identity of the user is identified to be a credible identity, the processor 601 authorizes the user to perform relevant sensitive operations, wherein the sensitive operations comprise screen unlocking, encrypted information viewing, software downloading, payment, setting change and the like.
The optical sensor 615 is used to collect the ambient light intensity. In one embodiment, processor 601 may control the display brightness of display screen 605 based on the ambient light intensity collected by optical sensor 615. Specifically, when the ambient light intensity is high, the display brightness of the display screen 605 is increased; when the ambient light intensity is low, the display brightness of the touch screen 606 is turned down. In another embodiment, the processor 601 may also dynamically adjust the shooting parameters of the camera assembly 606 according to the ambient light intensity collected by the optical sensor 615.
A proximity sensor 616, also known as a distance sensor, is typically disposed on the front panel of the terminal 600. The proximity sensor 616 is used to collect the distance between the user and the front surface of the terminal 600. In one embodiment, when proximity sensor 616 detects that the distance between the user and the front face of terminal 600 gradually decreases, processor 601 controls display 605 to switch from the bright screen state to the dark screen state; when the proximity sensor 616 detects that the distance between the user and the front face of the terminal 600 is gradually increased, the processor 601 controls the display 605 to switch from the breath-screen state to the bright-screen state.
Those skilled in the art will appreciate that the configuration shown in fig. 6 is not intended to be limiting of terminal 600 and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be used.
The embodiment of the application provides electronic equipment, which comprises a memory and a processor; the memory stores at least one instruction, and the at least one instruction is loaded and executed by the processor to implement the resource scheduling method provided by any one of the exemplary embodiments of the present application.
The embodiment of the present application further provides a readable storage medium, in which at least one instruction is stored, and the instruction is loaded and executed by a processor to implement the resource scheduling method provided in any exemplary embodiment of the present application.
All the above optional technical solutions may be combined arbitrarily to form optional embodiments of the present application, and are not described herein again.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only exemplary of the present application and should not be taken as limiting the present application, as any modification, equivalent replacement, or improvement made within the spirit and principle of the present application should be included in the protection scope of the present application.
Claims (12)
1. A method for scheduling resources, the method comprising:
acquiring one or more virtual orders;
for any virtual order, the any virtual order comprises a virtual starting position, the any virtual order is distributed to a first vehicle based on the virtual starting position in the any virtual order, and the first vehicle is enabled to go to the virtual starting position in the distributed virtual order;
receiving a real order sent by a user terminal, wherein the real order comprises a real starting position, and determining a target virtual order matched with the real order from the one or more virtual orders based on a virtual starting position in the one or more virtual orders and the real starting position;
in response to determining that the target virtual order matches the real order, the real order is assigned to a first vehicle corresponding to the target virtual order.
2. The method of claim 1, wherein determining a target virtual order from the one or more virtual orders that matches the real order based on a virtual starting location of the one or more virtual orders and the real starting location comprises:
determining a reference path for the first vehicle to travel to a virtual starting location in the assigned virtual order;
and determining the virtual order corresponding to the reference path containing the real starting position as a target virtual order matched with the real order.
3. The method of claim 2, wherein before determining the virtual order corresponding to the reference path containing the real starting location as the target virtual order matching the real order, the method further comprises:
acquiring an actual position of the first vehicle in a reference path containing the real starting position;
determining an actual distance between the actual position and the real starting position;
in response to the actual distance not being greater than a distance threshold, performing the determining of the virtual order corresponding to the reference path including the real starting location as a target virtual order matching the real order.
4. The method of claim 1, wherein determining a target virtual order from the one or more virtual orders that matches the real order based on a virtual starting location of the one or more virtual orders and the real starting location comprises:
for any virtual order, determining the similarity between the virtual starting position in the any virtual order and the real starting position, wherein the similarity is used for indicating the similarity between the distance between the virtual starting position in the any virtual order and the real starting position;
and determining the virtual order with the highest similarity in the one or more virtual orders as the target virtual order matched with the real order.
5. The method of claim 1, wherein after the assigning the real order to the first vehicle corresponding to the target virtual order, the method further comprises:
determining the acquisition time of the target virtual order and the receiving time of the real order;
calculating a time difference value between the acquisition time and the receiving time, and acquiring a time saving prompt message according to the time difference value, wherein the time saving prompt message is used for prompting that the time difference value is saved;
and sending the time saving prompt message to the user terminal.
6. The method of claim 1, wherein after the assigning the real order to the first vehicle corresponding to the target virtual order, the method further comprises:
calculating an order rate for the one or more virtual orders;
and updating the one or more virtual orders according to the order rate to obtain updated virtual orders.
7. The method of any of claims 1-6, wherein after said assigning said any virtual order to a first vehicle based on a virtual starting location in said any virtual order, said method further comprises:
for any first vehicle, in response to that no real order matched with the virtual order allocated to any first vehicle is received within a reference time length after the any first vehicle reaches the virtual starting position in the allocated virtual order, canceling the virtual order allocated to any first vehicle;
and increasing the order distribution weight of any first vehicle.
8. The method of any of claims 1-6, wherein said obtaining one or more virtual orders comprises:
acquiring order related information, wherein the order related information comprises one or two of historical order information and interest point information;
and predicting the one or more virtual orders according to the order related information.
9. The method according to any of claims 1-6, wherein after receiving the real order sent by the user terminal, the method further comprises:
in response to not determining a target virtual order that matches the real order, assigning the real order to a second vehicle based on the real starting location, the second vehicle being a vehicle not assigned to the virtual order.
10. An apparatus for scheduling resources, the apparatus comprising:
the acquisition module is used for acquiring one or more virtual orders;
the first allocation module is used for allocating any virtual order to a first vehicle based on the virtual starting position in the any virtual order, and enabling the first vehicle to go to the virtual starting position in the allocated virtual order;
the receiving module is used for receiving a real order sent by a user terminal, wherein the real order comprises a real initial position;
a determining module, configured to determine, based on a virtual starting position of the one or more virtual orders and the real starting position, a target virtual order matching the real order from the one or more virtual orders;
and the second distribution module is used for responding to the fact that the target virtual order matched with the real order is determined, and distributing the real order to the first vehicle corresponding to the target virtual order.
11. An electronic device, comprising a memory and a processor; the memory has stored therein at least one instruction that is loaded and executed by the processor to implement the method of resource scheduling according to any of claims 1-9.
12. A readable storage medium having stored therein at least one instruction, which is loaded and executed by a processor to implement the resource scheduling method according to any one of claims 1 to 9.
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| CN114331645A (en) * | 2022-03-14 | 2022-04-12 | 广州宸祺出行科技有限公司 | Method and system for improving transport capacity utilization rate of network appointment car |
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