CN113807672A - Unmanned vehicle distribution method and device and storage medium - Google Patents

Unmanned vehicle distribution method and device and storage medium Download PDF

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CN113807672A
CN113807672A CN202111016211.0A CN202111016211A CN113807672A CN 113807672 A CN113807672 A CN 113807672A CN 202111016211 A CN202111016211 A CN 202111016211A CN 113807672 A CN113807672 A CN 113807672A
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order
time
target
unmanned vehicle
user
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韩笑
余智
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Beijing Sankuai Online Technology Co Ltd
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Beijing Sankuai Online Technology Co Ltd
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    • G06Q10/083—Shipping
    • G06Q10/0835—Relationships between shipper or supplier and carriers
    • G06Q10/08355—Routing methods
    • G—PHYSICS
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    • G06Q30/00—Commerce
    • G06Q30/06—Buying, selling or leasing transactions
    • G06Q30/0601—Electronic shopping [e-shopping]
    • G06Q30/0633—Lists, e.g. purchase orders, compilation or processing
    • G06Q30/0635—Processing of requisition or of purchase orders

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Abstract

The disclosure relates to an unmanned vehicle distribution method, an unmanned vehicle distribution device and a storage medium. The method comprises the following steps: determining a target delivery location of a target order to be delivered, wherein the target delivery location is determined according to a delivery address corresponding to the target order to be delivered; acquiring advance time information set by a user of the target order to be delivered, wherein the advance time information represents advance time amount for informing the user to take the order before the order is delivered; determining the predicted time for the unmanned vehicle to reach the target delivery location based on the planned driving route for the unmanned vehicle to reach the target delivery location; determining a message sending time at least according to the estimated time and the advance time information; and sending a list taking reminding message to the client of the user when the message sending time is reached. By adopting the method, the distribution efficiency of the unmanned vehicle can be improved.

Description

Unmanned vehicle distribution method and device and storage medium
Technical Field
The disclosure relates to the technical field of unmanned vehicles, in particular to an unmanned vehicle distribution method, device and storage medium.
Background
Currently, when a user purchases a commodity which is distributed immediately on an e-commerce platform, the sending time of the commodity can be set. For example, the user may set a delivery time on the order placement page, such as an immediate delivery, so that on the one hand the order server will immediately assign the delivery tasks for the order to the deliverers for delivery after the order placement is completed. On the other hand, after the order is received by the merchant, the goods of the order are dispatched immediately by the delivery person after the completion of the dispatch. As another example, the user may specify that the goods be delivered within a future time period, such that the order server will assign the delivery tasks for the order to the deliverers for delivery within the future time period. On the other hand, the deliverer receives the delivery task corresponding to the order and then delivers the order.
In the related art, during order delivery, a delivery person contacts an order taking user for taking an order by telephone after arriving at a delivery location of the order. Alternatively, the delivery person may contact the order taking user to take an order by phone when arriving near the delivery location based on experience in order delivery. This way of notifying the user of the order results in inefficient delivery by the dispenser.
Disclosure of Invention
The invention aims to provide an unmanned vehicle distribution method, an unmanned vehicle distribution device and a storage medium, so as to improve order distribution efficiency.
In order to achieve the above object, a first part of the embodiments of the present disclosure provides an unmanned vehicle distribution method, the method including:
determining a target delivery location of a target order to be delivered, wherein the target delivery location is determined according to a delivery address corresponding to the target order to be delivered;
acquiring advance time information set by a user of the target order to be delivered, wherein the advance time information represents advance time amount for informing the user to take the order before the order is delivered;
determining the predicted time for the unmanned vehicle to reach the target delivery location based on the planned driving route for the unmanned vehicle to reach the target delivery location;
determining a message sending time at least according to the estimated time and the advance time information;
and sending a list taking reminding message to the client of the user when the message sending time is reached.
Optionally, the method further comprises:
replanning a driving planning route of the unmanned vehicle to the target distribution place in response to the obtained advance time information modified by the user, so as to adjust the distribution sequence of the target order to be distributed and other orders to be distributed; and re-determining the estimated time and the message sending time.
Optionally, the determining the predicted time for the unmanned vehicle to reach the target delivery location based on the planned driving route for the unmanned vehicle to reach the target delivery location includes:
calculating the running time of the unmanned vehicle according to the running planned route and the running speed of the unmanned vehicle;
acquiring user estimated order taking time corresponding to each other order to be distributed before the target order to be distributed respectively based on the distribution sequence of each order to be distributed corresponding to the driving planning route, and calculating to obtain estimated total order taking time before the target order to be distributed;
and determining the estimated time of the unmanned vehicle reaching the target distribution place according to the running time and the estimated total order taking time.
Optionally, after the driving planning route of the unmanned vehicle to the target delivery location is re-planned to adjust the delivery order of the target order to be delivered and other orders to be delivered, the method further includes:
if the delivery order of at least a portion of the orders to be delivered, which are originally planned after the target orders to be delivered, is adjusted to be before the target orders to be delivered, the target orders to be delivered are delivered after the at least a portion of the orders to be delivered are delivered.
Optionally, the method further comprises:
acquiring a list taking time period set by the user;
accordingly, the replanning of the planned driving route of the unmanned vehicle to the target delivery location comprises:
and replanning a driving planning route of the unmanned vehicle to the target delivery location based on the order taking time period so as to plan the predicted time determined based on the replanning driving planning route within the order taking time period.
Optionally, the determining a message sending time according to at least the estimated time and the advance time information includes:
determining buffering time quantity, wherein the buffering time quantity is determined according to at least one of weather information, real-time traffic state information corresponding to the driving planning route, floor information in a delivery address corresponding to the target order to be delivered and building type information;
and determining the message sending time according to the estimated time, the advance time information and the buffering time quantity.
Optionally, the method further comprises:
under the condition that the user is detected not to take the order within the preset time length after the unmanned vehicle arrives at the target distribution place, sending information for inquiring whether the user changes the order taking time period to a client of the user, wherein the target order to be distributed represents the current order to be distributed; and the number of the first and second electrodes,
judging whether to adjust the distribution sequence of the target orders to be distributed in all the orders to be distributed based on the feedback result of the user;
under the condition that the distribution sequence of the target orders to be distributed in all the orders to be distributed is determined to be adjusted, the driving planning route of the unmanned vehicle is re-planned according to the distribution place corresponding to the adjusted new orders to be distributed, and the unmanned vehicle is controlled to distribute the new orders to be distributed according to the re-planned driving planning route.
A second aspect of the disclosed embodiments provides an unmanned vehicle dispensing apparatus, the apparatus comprising:
the first determining module is configured to determine a target delivery location of a target order to be delivered, wherein the target delivery location is determined according to a delivery address corresponding to the target order to be delivered;
a first obtaining module configured to obtain lead time information set by a user of the target order to be delivered, the lead time information representing a lead time amount for notifying the user of taking an order before the order arrives;
a second determination module configured to determine an expected time for the unmanned vehicle to reach the target delivery location based on a planned travel route for the unmanned vehicle to reach the target delivery location;
a third determining module configured to determine a message sending time at least according to the estimated time and the advance time information;
a sending module configured to send a pick-up reminder message to the client of the user when the message sending time is reached.
Optionally, the apparatus further comprises:
the adjusting module is configured to replan the driving planning route of the unmanned vehicle to the target delivery location in response to the acquisition of the advance time information modified by the user, so as to adjust the delivery sequence of the target order to be delivered and other orders to be delivered; and re-determining the estimated time and the message sending time.
Optionally, the second determining module includes:
the measuring and calculating sub-module is configured to measure and calculate the driving time of the unmanned vehicle according to the driving planning route and the driving speed of the unmanned vehicle;
the calculation submodule is configured to obtain user estimated order taking time corresponding to each other order to be distributed before the target order to be distributed based on the distribution sequence of each order to be distributed corresponding to the driving planning route, and calculate to obtain estimated total order taking time before the target order to be distributed;
a first determination submodule configured to determine the estimated time for the unmanned vehicle to reach the target delivery location according to the travel time length and the estimated total order taking time length.
Optionally, the apparatus further comprises:
and the execution module is configured to, after the driving planning route of the unmanned vehicle to the target delivery location is re-planned to adjust the delivery sequence of the target order to be delivered and other orders to be delivered, deliver the target order to be delivered after delivering at least part of the orders to be delivered, if the delivery sequence of at least part of the orders to be delivered, which are originally planned after the target order to be delivered, is adjusted to be before the target order to be delivered.
Optionally, the apparatus further comprises:
a second acquisition module configured to acquire the order taking time period set by the user;
the adjusting module is further configured to replan the planned driving route of the unmanned vehicle to the target delivery location based on the order taking time period, so as to plan the estimated time determined based on the replanned planned driving route within the order taking time period.
Optionally, the third determining module includes:
a second determining submodule configured to determine a buffering time amount, wherein the buffering time amount is determined according to at least one of weather information, real-time traffic state information corresponding to the driving planning route, floor information in a delivery address corresponding to the target order to be delivered and building type information;
a third determining submodule configured to determine the message transmission time based on the estimated time, the advance time information, and the amount of buffering time.
Optionally, the apparatus further comprises:
the inquiring module is configured to send information for inquiring whether the user changes the order taking time period to a client of the user under the condition that the user is detected not to take an order within a preset time length after the unmanned vehicle arrives at the target distribution place, wherein the target order to be distributed represents a current order to be distributed; and the number of the first and second electrodes,
the judging module is configured to judge whether to adjust the distribution sequence of the target orders to be distributed in all the orders to be distributed based on the feedback result of the user;
and the delivery module is configured to, under the condition that the delivery sequence of the target order to be delivered in all the orders to be delivered is determined to be adjusted, replan the driving planning route of the unmanned vehicle according to the delivery location corresponding to the adjusted new order to be delivered currently, so as to control the unmanned vehicle to deliver the new order to be delivered currently according to the replanned driving planning route.
A third part of the embodiments of the present disclosure provides a computer-readable storage medium on which a computer program is stored, which when executed by a processor, performs the steps of the method of any one of the first part.
A fourth aspect of the embodiments of the present disclosure provides an electronic apparatus, including:
a memory having a computer program stored thereon;
a processor for executing the computer program in the memory to implement the steps of the method of any of the first parts.
By adopting the technical scheme, the following beneficial technical effects can be at least achieved:
the method comprises the steps of determining a target delivery position of a target order to be delivered, and determining the predicted time of the unmanned vehicle reaching the target delivery position based on the driving planning route of the unmanned vehicle reaching the target delivery position. And meanwhile, acquiring the advance time information set by the target order to be delivered by the user, determining the message sending time at least according to the predicted time when the unmanned vehicle reaches the target delivery location and the advance time information, and sending a list taking reminding message to the client of the user when the message sending time is reached so as to inform the user to go to the target delivery location to take the list. By adopting the method disclosed by the disclosure, the advance time information set by the user of the target order to be delivered is obtained, and the advance time quantity represented by the advance time information can be used for representing the expected time length of the user reaching the target delivery location (order taking location), so that the message sending time for sending the order taking reminding message to the client of the user in advance can be determined based on the expected time and the advance time information, the message sending time can be earlier than the expected time for the unmanned vehicle to reach the target delivery location, the user can simultaneously go to the target delivery location with the unmanned vehicle under the condition of receiving the order taking reminding message, and the waiting time for the unmanned vehicle to wait for the order taking before the user waits at the target delivery location can be reduced. Therefore, the distribution efficiency of the unmanned vehicle can be improved by adopting the method disclosed by the invention.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
fig. 1 is a flowchart illustrating an unmanned vehicle distribution method according to an exemplary embodiment of the present disclosure.
Fig. 2 is a block diagram illustrating an unmanned vehicle dispensing apparatus according to an exemplary embodiment of the present disclosure.
Fig. 3 is a block diagram illustrating an unmanned vehicle delivery system according to an exemplary embodiment of the present disclosure.
Fig. 4 is a block diagram illustrating an electronic device according to an exemplary embodiment of the present disclosure.
Fig. 5 is a block diagram illustrating another electronic device according to an exemplary embodiment of the present disclosure.
Detailed Description
The following detailed description of specific embodiments of the present disclosure is provided in connection with the accompanying drawings. It should be understood that the detailed description and specific examples, while indicating the present disclosure, are given by way of illustration and explanation only, not limitation.
In the related art, during order delivery, a delivery person contacts an order taking user for taking an order by telephone after arriving at a delivery location of the order. Alternatively, the delivery person may contact the order taking user to take an order by phone when arriving near the delivery location based on experience in order delivery. This way of notifying the user to take the order often results in the phenomenon that the dispenser waits for the user at the delivery site to take the order before the dispenser waits for the user at the delivery site, and the longer the time the dispenser waits for the user at the delivery site, the lower the delivery efficiency of the dispenser. And if the deliverer contacts the order-taking user to take the order by using the mobile phone in the riding process, the potential traffic safety hazard also exists.
In view of the above, embodiments of the present disclosure provide an unmanned vehicle distribution method, device and storage medium to solve the above problems in the related art.
Fig. 1 is a flowchart illustrating an unmanned vehicle distribution method that may be applied to both an unmanned vehicle and a remote server for the unmanned vehicle according to an exemplary embodiment of the present disclosure. As shown in fig. 1, the unmanned vehicle distribution method may include the steps of:
and S11, determining a target distribution place of the target order to be distributed, wherein the target distribution place is determined according to the distribution address corresponding to the target order to be distributed.
The target orders to be delivered represent any one of all orders to be delivered of the unmanned vehicle.
In a specific implementation, the target delivery location of the target order to be delivered may be determined according to the delivery address corresponding to the target order to be delivered. For example, assuming that the delivery address corresponding to the target order to be delivered is "number 2202 of garden cell 2 units", the target delivery location of the target order to be delivered can be determined to be north gate of garden cell. For another example, assuming that the delivery address corresponding to the target order to be delivered is "number 1102 of 2 units in garden community 14", it may be determined that the target delivery location of the target order to be delivered is also north gate of garden community; and possibly, the target delivery location for the target order to be delivered may be determined to be the garden community west gate.
And S12, acquiring the advance time information set by the user of the target order to be delivered, wherein the advance time information represents the advance time amount for informing the user of taking the order before the order is delivered.
An implementation mode can be used for deploying a function of setting the time for informing in advance of taking an order in a user-independent mode or a function of pre-reminding the order taking in the order-independent mode on a commercial platform such as ordering, ordering and the like, so that the user can conveniently send the order taking reminding message before the order is sent or not in the independent selection of the order taking page, and the user can conveniently set the amount of time in advance for informing in advance of taking the order in the order taking page in the independent mode. And when the user sets the advance time information, the advance time information set by the user can be acquired from the order information of the user.
And S13, determining the predicted time of the unmanned vehicle reaching the target distribution point based on the planned driving route of the unmanned vehicle reaching the target distribution point.
In specific implementation, according to the planned driving route of the unmanned vehicle to the target delivery location, the estimated time of the unmanned vehicle to the target delivery location can be determined, wherein the estimated time can be an estimated time point or an estimated time interval.
An implementable embodiment, said determining an estimated time of arrival of said unmanned vehicle at said target delivery location based on a planned route of travel of said unmanned vehicle to said target delivery location, comprising:
calculating the running time of the unmanned vehicle according to the running planned route and the running speed of the unmanned vehicle; acquiring user estimated order taking time corresponding to each other order to be distributed before the target order to be distributed respectively based on the distribution sequence of each order to be distributed corresponding to the driving planning route, and calculating to obtain estimated total order taking time before the target order to be distributed; and determining the estimated time of the unmanned vehicle reaching the target distribution place according to the running time and the estimated total order taking time.
For example, assuming that the driving speed of the unmanned vehicle driving at a constant speed on the driving planned route is 20km/h, and assuming that the distance corresponding to the driving planned route is 2km, the driving time of the unmanned vehicle can be measured to be 6 minutes. Further, assuming that the expected order taking time of the user corresponding to each other to-be-matched order before the target to-be-matched order is 2 minutes and 5 minutes, the expected total order taking time before the target to-be-matched order can be calculated to be 7 minutes. According to the driving time length of 6 minutes and the estimated total time length of taking the list of 7 minutes, the total time of taking 13 minutes from the departure of the unmanned vehicle to the target distribution place can be determined. The estimated time can thus be further determined as the time corresponding to the sum of the departure time and 13 minutes.
The expected order taking time length of the user corresponding to any order can be determined according to the historical order taking time length of the user. For example, the expected order taking time of the user corresponding to any order can be an average value of the historical order taking time of the user. For another example, the expected order taking time length of the user corresponding to any order may be the latest historical order taking time length of the user.
And S14, determining the message sending time at least according to the predicted time and the advance time information.
And determining the message sending time according to the predicted time and the time advance amount corresponding to the time advance information. For example, assuming that the estimated time is 13 o ' clock and the amount of advance time corresponding to the advance time information is 15 minutes, it may be determined that the message transmission time is 12 o ' clock and 3 o ' clock.
And S15, sending the order taking reminding message to the client of the user when the message sending time is reached.
For example, assuming that the message sending time is 12 o 'clock and 3 o' clock, in the case that the time reaches 12 o 'clock and 3 o' clock, a pick-up reminding message may be sent to the client of the user targeting the order to be delivered to remind the user that the order can be picked up before.
By adopting the method disclosed by the invention, the target distribution place of the target order to be distributed is determined, and the predicted time for the unmanned vehicle to reach the target distribution place is determined based on the driving planning route for the unmanned vehicle to reach the target distribution place. And meanwhile, acquiring the advance time information set by the target order to be delivered by the user, determining the message sending time at least according to the predicted time when the unmanned vehicle reaches the target delivery location and the advance time information, and sending a list taking reminding message to the client of the user when the message sending time is reached so as to inform the user to go to the target delivery location to take the list. By adopting the method disclosed by the disclosure, the advance time information set by the user of the target order to be delivered is obtained, and the advance time quantity represented by the advance time information can be used for representing the expected time length of the user reaching the target delivery location (order taking location), so that the message sending time for sending the order taking reminding message to the client of the user in advance can be determined based on the expected time and the advance time information, the message sending time can be earlier than the expected time for the unmanned vehicle to reach the target delivery location, the user can simultaneously go to the target delivery location with the unmanned vehicle under the condition of receiving the order taking reminding message, and the waiting time for the unmanned vehicle to wait for the order taking before the user waits at the target delivery location can be reduced. Therefore, the distribution efficiency of the unmanned vehicle can be improved by adopting the method disclosed by the invention.
Moreover, compared with the distribution method of the distributor in the related art, the unmanned vehicle distribution method can avoid the potential traffic safety hazard caused by the fact that the distributor contacts the user to take the order through the telephone in the riding process in the related art, and therefore the unmanned vehicle distribution method can improve the safety of order and goods distribution.
Further, it is noted that, in the related art, the dispenser makes a distance prediction based on experience to notify the user of the order taking before reaching the target delivery location. This experience-based approach to notifying the user ahead of time to take the order does not control the accuracy of the amount of advance time. In the embodiment of the present disclosure, the advance time information set by the user of the target order to be delivered is obtained, and the advance time amount represented by the advance time information may be used to represent the expected time length for the user to reach the target delivery location. This user-set amount of advance time of the present disclosure may be closer to the actual length of time that the user reaches the target delivery location than an amount of advance time that the dispenser notifies the user in advance based on experience. That is, the accuracy of the advance time information in the embodiment of the present disclosure is higher.
The method can realize that the delivery address of the user is obtained in the ordering process of the user. And determining a corresponding target delivery location according to the delivery address. The target delivery location is displayed to the user through the interactive interface, and the user is asked about the expected time (i.e., the advance time information) for the order to arrive at the target delivery location. If the delivery address of the user corresponds to a plurality of delivery locations (if the cell has a plurality of exits and entrances, the delivery locations are all exits and entrances of the cell), the plurality of delivery locations are displayed to the user through the interactive interface so that the user can select a target delivery location (because it may not be possible to predict which delivery location the user would like or would be more convenient to take the order). A target delivery location is determined based on the user's selection. When there are a plurality of delivery locations to be selected, one of the delivery locations may be selected as a target delivery location by default based on a user history selection condition.
It is further realized that before inquiring the expected time for the user to reach the target delivery location for order taking, the walking time of the user corresponding to the distance (including the ground distance and the distance from the ground to the ground) between the (GPS) location of the user terminal and the target delivery location can be calculated, and the walking time is used as the reference time for the user to take the order by walking. Accordingly, based on the reference time for taking the order on foot, the user may further increase or decrease the reference time for taking the order on foot according to the actual situation (for example, the user plans to take an express item in the way before taking the order, leave a new garbage in the way, walk a new fast channel, use a balance car to take the order instead of walking, and the like) (the decrease may be determined by the user's transportation tool, for example, the user uses the balance car to take the order, and this time is generally less than the walking time) for a certain time period so as to estimate the estimated time information for the more accurate user to reach the target delivery location for taking the order. The mode for assisting the user to estimate the more accurate predicted time information has a remarkable assisting effect especially for the user who uses the 'order taking and pre-reminding' function for the first time. If the estimated time information of the user is more accurate, the user and the unmanned vehicle are more likely to arrive at the target distribution place at the same time, and the time length for the unmanned vehicle to wait for the user at the target distribution place is shorter, so that the distribution efficiency of the unmanned vehicle is higher.
A possible scene is that two users A and B live in the same cell, the users place orders successively and the place of taking the orders is the entrance of the cell, but the actual distances between the two users and the entrance of the cell are different, the distance between the user A and the entrance of the cell is close, and the distance between the user B and the entrance of the cell is far. The user A sets the order taking reminding in the first 5 minutes, and the user B sets the order taking reminding in the first 10 minutes.
For the scene, by adopting the unmanned vehicle distribution method disclosed by the invention, if the current measurement and calculation result shows that the unmanned vehicle has the 12 minutes to reach the gate of the cell, the user B is prompted to go to the gate of the cell to take the order under the condition that the unmanned vehicle continues to run for 2 minutes, namely the unmanned vehicle needs 10 minutes to reach the gate of the cell. And when the unmanned vehicle continues to run for 5 minutes, namely the unmanned vehicle still needs 5 minutes to reach the gate of the cell, prompting the user A to go to the gate of the cell to take a bill. And the end user A, the user B and the unmanned vehicle can simultaneously arrive at the gate of the cell to finish order taking. It follows that the unmanned vehicle does not need to wait for user a and user B at the cell doorway.
Optionally, the method may further comprise the steps of:
replanning a driving planning route of the unmanned vehicle to the target distribution place in response to the obtained advance time information modified by the user, so as to adjust the distribution sequence of the target order to be distributed and other orders to be distributed; and re-determining the estimated time and the message sending time.
In a possible case, after the ordering is completed, the user may want to modify the advance time information set in the ordering process due to a burst factor. Therefore, an implementation mode can be realized, a 'taking order pre-reminding modification' function can be deployed on a commercial platform such as a meal ordering platform, a dish ordering platform and the like, so that a user can independently select whether to modify the advance time information corresponding to the order on an order delivery page.
In one possible case, assuming that the current time is 13 o ' clock, the estimated time of arrival of the unmanned vehicle at the target delivery site is 13 o ' clock and 10 minutes, and the amount of advance time set by the corresponding user is 8 minutes, the message transmission time is 13 o ' clock and 2 minutes in the future. At this time (at point 13), if the received advance time information modified by the user is 20 minutes ahead, the message sending time calculated based on the current predicted time of 13 points and 10 minutes is 12 points and 50 minutes, obviously, under the condition that the current time is 13 points, 12 points and 50 minutes are past historical time points, and in this case, the requirement of sending the order taking reminding message 20 minutes ahead of the requirement of the user cannot be met. To address this issue, one possible implementation adjusts the delivery order of the target orders to be delivered and other orders to be delivered (e.g., adjusts the delivery order of the target orders to be delivered backward) by re-planning the driving planning route for the unmanned vehicle to reach the target delivery location in response to obtaining the user-modified advance time information, and re-determines the estimated time, and re-calculates the message sending time according to the re-determined estimated time and the modified advance time information to meet the user's demand.
In another possible case, after the advance time information modified by the user is acquired, if it is determined that the current estimated time when the unmanned vehicle reaches the target distribution location and the new message sending time determined by the advance time information modified by the user are still the time corresponding to the future time, the step of replanning the driving planned route when the unmanned vehicle reaches the target distribution location may not be performed, and the original message sending time is directly updated according to the new message sending time.
Based on the two possible situations, in an implementation manner, in response to obtaining the advance time information modified by the user, determining a new message sending time according to the estimated time and the modified advance time information, and determining whether the new message sending time is a time corresponding to a future time, if so, updating the original message sending time according to the new message sending time. If not, replanning the driving planning route of the unmanned vehicle to the target distribution place to adjust the distribution sequence of the target order to be distributed and other orders to be distributed, so that the newly calculated message sending time is the time of the future time.
Optionally, after the driving planning route of the unmanned vehicle to the target delivery location is re-planned to adjust the delivery order of the target order to be delivered and other orders to be delivered, the method further includes:
if the delivery order of at least a portion of the orders to be delivered, which are originally planned after the target orders to be delivered, is adjusted to be before the target orders to be delivered, the target orders to be delivered are delivered after the at least a portion of the orders to be delivered are delivered.
In a possible case, after the driving planning route of the unmanned vehicle to the target delivery location is re-planned to adjust the delivery sequence of the target order to be delivered and other orders to be delivered, the delivery sequence of a part or all of the orders to be delivered, which are originally planned after the target order to be delivered, may be adjusted to be before the target order to be delivered, and in this case, the unmanned vehicle needs to be controlled to deliver the part or all of the orders to be delivered first and then deliver the target order to be delivered.
Optionally, the method further comprises:
and acquiring the order taking time period set by the user.
In one implementation, the user may select or set a pick-up period on a drop page that facilitates user picking up the order. Accordingly, the planned driving route of the unmanned vehicle to the target delivery location may be planned based on the order taking time period, and the estimated time determined based on the planned driving route of the unmanned vehicle to the target delivery location may be at the order taking time period set by the user.
In another implementation, the user may select or set or modify a pick period on the order delivery page that facilitates user picking. Then, correspondingly, the replanning the planned driving route of the unmanned vehicle to the target delivery location may include:
and replanning a driving planning route of the unmanned vehicle to the target delivery location based on the order taking time period so as to plan the predicted time determined based on the replanning driving planning route within the order taking time period.
Optionally, the determining a message sending time according to at least the estimated time and the advance time information includes:
determining buffering time quantity, wherein the buffering time quantity is determined according to at least one of weather information, real-time traffic state information corresponding to the driving planning route, floor information in a delivery address corresponding to the target order to be delivered and building type information; and determining the message sending time according to the estimated time, the advance time information and the buffering time quantity.
In order to further reduce the time for the unmanned vehicle to wait for the user at the target delivery location, the amount of buffering time caused by objective factors influencing the arrival of the unmanned vehicle at the target delivery location and the amount of buffering time caused by objective factors influencing the arrival of the user at the target delivery location can be further considered on the basis of the predicted time and the advance time information.
Objective factors influencing the unmanned vehicles to arrive at the target to-be-delivered places include but are not limited to weather factors and traffic condition factors. It is worth noting that in the unmanned vehicle delivery scenario, the time period for the unmanned vehicle to reach the target delivery location may be affected by weather factors. For example, if the unmanned vehicle encounters heavy rain during the delivery process, the delivery of the unmanned vehicle may be suspended or the traveling speed of the unmanned vehicle may be reduced in order to ensure the safety of the unmanned vehicle and the order to be delivered, which may increase the time period for the unmanned vehicle to reach the target delivery site. For another example, if the unmanned vehicle encounters traffic jam, traffic accident, temporary road closure, etc. during the distribution process, it will also increase the time period for the unmanned vehicle to reach the target distribution location.
Objective factors that influence the user's arrival at the target delivery location include, but are not limited to, floor factors, building type factors (e.g., whether there is an elevator, whether there is an authentication access door).
Optionally, the method may further include:
under the condition that the user is detected not to take the order within the preset time length after the unmanned vehicle arrives at the target distribution place, sending information for inquiring whether the user changes the order taking time period to a client of the user, wherein the target order to be distributed represents the current order to be distributed; judging whether to adjust the distribution sequence of the target orders to be distributed in all the orders to be distributed based on the feedback result of the user; under the condition that the distribution sequence of the target orders to be distributed in all the orders to be distributed is determined to be adjusted, the driving planning route of the unmanned vehicle is re-planned according to the distribution place corresponding to the adjusted new orders to be distributed, and the unmanned vehicle is controlled to distribute the new orders to be distributed according to the re-planned driving planning route.
For example, if the user does not take the order within a preset time period after the unmanned vehicle reaches the target delivery location, in this case, in order to avoid invalid waiting of the unmanned vehicle at the target delivery location, information for inquiring whether the user changes the order taking time period may be sent to the client of the user. Whether to continue waiting for the user may be determined based on the feedback result of the user. For example, if the feedback result fed back by the user indicates that the order taking time period is not changed, or the feedback result fed back by the user indicates that the order taking time period is changed, but the difference between the upper limit value/the lower limit value of the changed order taking time period and the current time point does not exceed the preset threshold, it may be determined to continue waiting for the order taking before the user. For another example, if the feedback result fed back by the user indicates that the order taking time period is changed, but the difference between the upper limit value/the lower limit value of the changed order taking time period and the current time point exceeds the preset threshold, it may be determined not to continue waiting for the order taking before the user. And under the condition that the user does not continuously wait for taking orders before, adjusting the distribution sequence of the target orders to be distributed in all the orders to be distributed, replanning the driving planning route of the unmanned vehicle according to the distribution position corresponding to the adjusted new order to be distributed, and controlling the unmanned vehicle to distribute the new order to be distributed according to the replanning driving planning route.
Fig. 2 is a block diagram illustrating an unmanned vehicle dispensing apparatus according to an exemplary embodiment of the present disclosure. As shown in fig. 2, the unmanned vehicle delivery apparatus 200 includes:
a first determining module 210 configured to determine a target delivery location of a target order to be delivered, where the target delivery location is determined according to a delivery address corresponding to the target order to be delivered;
a first obtaining module 220 configured to obtain advance time information set by a user of the target order to be delivered, the advance time information representing an amount of advance time for notifying the user to take an order before the order arrives;
a second determining module 230 configured to determine an expected time for the unmanned vehicle to reach the target delivery location based on a planned driving route for the unmanned vehicle to reach the target delivery location;
a third determining module 240 configured to determine a message sending time according to at least the predicted time and the advance time information;
a sending module 250 configured to send a pick-up reminder message to the client of the user when the message sending time is reached.
By adopting the device, the target distribution place of the target order to be distributed is determined, and the predicted time for the unmanned vehicle to reach the target distribution place is determined based on the driving planning route for the unmanned vehicle to reach the target distribution place. And meanwhile, acquiring the advance time information set by the target order to be delivered by the user, determining the message sending time at least according to the predicted time when the unmanned vehicle reaches the target delivery location and the advance time information, and sending a list taking reminding message to the client of the user when the message sending time is reached so as to inform the user to go to the target delivery location to take the list. By adopting the method disclosed by the disclosure, the advance time information set by the user of the target order to be delivered is obtained, and the advance time quantity represented by the advance time information can be used for representing the expected time length of the user reaching the target delivery location (order taking location), so that the message sending time for sending the order taking reminding message to the client of the user in advance can be determined based on the expected time and the advance time information, the message sending time can be earlier than the expected time for the unmanned vehicle to reach the target delivery location, the user can simultaneously go to the target delivery location with the unmanned vehicle under the condition of receiving the order taking reminding message, and the waiting time for the unmanned vehicle to wait for the order taking before the user waits at the target delivery location can be reduced. Therefore, the distribution efficiency of the unmanned vehicle can be improved by adopting the method disclosed by the invention.
Optionally, the apparatus 200 further comprises:
the adjusting module is configured to replan the driving planning route of the unmanned vehicle to the target delivery location in response to the acquisition of the advance time information modified by the user, so as to adjust the delivery sequence of the target order to be delivered and other orders to be delivered; and re-determining the estimated time and the message sending time.
Optionally, the second determining module 230 includes:
the measuring and calculating sub-module is configured to measure and calculate the driving time of the unmanned vehicle according to the driving planning route and the driving speed of the unmanned vehicle;
the calculation submodule is configured to obtain user estimated order taking time corresponding to each other order to be distributed before the target order to be distributed based on the distribution sequence of each order to be distributed corresponding to the driving planning route, and calculate to obtain estimated total order taking time before the target order to be distributed;
a first determination submodule configured to determine the estimated time for the unmanned vehicle to reach the target delivery location according to the travel time length and the estimated total order taking time length.
Optionally, the apparatus 200 further comprises:
and the execution module is configured to, after the driving planning route of the unmanned vehicle to the target delivery location is re-planned to adjust the delivery sequence of the target order to be delivered and other orders to be delivered, deliver the target order to be delivered after delivering at least part of the orders to be delivered, if the delivery sequence of at least part of the orders to be delivered, which are originally planned after the target order to be delivered, is adjusted to be before the target order to be delivered.
Optionally, the apparatus 200 further comprises:
a second acquisition module configured to acquire the order taking time period set by the user;
the adjusting module is further configured to replan the planned driving route of the unmanned vehicle to the target delivery location based on the order taking time period, so as to plan the estimated time determined based on the replanned planned driving route within the order taking time period.
Optionally, the third determining module 240 includes:
a second determining submodule configured to determine a buffering time amount, wherein the buffering time amount is determined according to at least one of weather information, real-time traffic state information corresponding to the driving planning route, floor information in a delivery address corresponding to the target order to be delivered and building type information;
a third determining submodule configured to determine the message transmission time based on the estimated time, the advance time information, and the amount of buffering time.
Optionally, the apparatus 200 further comprises:
the inquiring module is configured to send information for inquiring whether the user changes the order taking time period to a client of the user under the condition that the user is detected not to take an order within a preset time length after the unmanned vehicle arrives at the target distribution place, wherein the target order to be distributed represents a current order to be distributed; and the number of the first and second electrodes,
the judging module is configured to judge whether to adjust the distribution sequence of the target orders to be distributed in all the orders to be distributed based on the feedback result of the user;
and the delivery module is configured to, under the condition that the delivery sequence of the target order to be delivered in all the orders to be delivered is determined to be adjusted, replan the driving planning route of the unmanned vehicle according to the delivery location corresponding to the adjusted new order to be delivered currently, so as to control the unmanned vehicle to deliver the new order to be delivered currently according to the replanned driving planning route.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Based on the same inventive concept, the disclosed embodiments also provide a computer-readable storage medium, on which a computer program is stored, which when executed by a processor, implements the steps of the unmanned vehicle delivery method described in any of the above embodiments.
Based on the same inventive concept, the disclosed embodiment further provides an unmanned vehicle distribution system, as shown in fig. 3, the unmanned vehicle distribution system 300 includes an unmanned vehicle 310 and an unmanned vehicle remote server 320;
the unmanned vehicle remote server 320 is configured to issue a delivery task of at least one order to be delivered to the unmanned vehicle 310;
the unmanned vehicle 310 is configured to, in response to receiving the distribution task of the at least one to-be-distributed order issued by the unmanned vehicle remote server 320, execute any one of the foregoing first unmanned vehicle distribution methods after picking up goods from the order picking location of each to-be-distributed order, so as to complete the distribution task of each to-be-distributed order.
The disclosed embodiment also provides another unmanned vehicle distribution system, which comprises an unmanned vehicle and an unmanned vehicle remote server;
the unmanned vehicle remote server is used for issuing a distribution task of at least one order to be distributed and a corresponding running planning route to the unmanned vehicle;
the unmanned vehicle is used for receiving the distribution task of the at least one order to be distributed issued by the unmanned vehicle remote server and executing the distribution task of each order to be distributed based on the driving planning route issued by the unmanned vehicle remote server;
the unmanned vehicle remote server is further configured to execute any one of the unmanned vehicle distribution methods in the first part, so as to notify each user of order taking in coordination with the unmanned vehicle distribution process.
Fig. 4 is a block diagram illustrating an electronic device 700 according to an exemplary embodiment of the present disclosure. As shown in fig. 4, the electronic device 700 may include: a processor 701 and a memory 702. The electronic device 700 may also include one or more of a multimedia component 703, an input/output (I/O) interface 704, and a communication component 705.
The processor 701 is configured to control the overall operation of the electronic device 700, so as to complete all or part of the steps of the above-mentioned unmanned vehicle distribution method. The memory 702 is used to store various types of data to support operation at the electronic device 700, such as instructions for any application or method operating on the electronic device 700 and application-related data, such as contact data, transmitted and received messages, pictures, audio, video, and the like. The Memory 702 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), Electrically Erasable Programmable Read-Only Memory (EEPROM), Erasable Programmable Read-Only Memory (EPROM), Programmable Read-Only Memory (PROM), Read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk. The multimedia components 703 may include screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 702 or transmitted through the communication component 705. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 704 provides an interface between the processor 701 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, Near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, etc., or a combination of one or more of them, which is not limited herein. The corresponding communication component 705 may thus include: Wi-Fi module, Bluetooth module, NFC module, etc.
In an exemplary embodiment, the electronic Device 700 may be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the above-described unmanned vehicle distribution method.
In another exemplary embodiment, a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the above-described unmanned vehicle delivery method is also provided. For example, the computer readable storage medium may be the memory 702 comprising program instructions executable by the processor 701 of the electronic device 700 to perform the above-described unmanned vehicle distribution method.
Fig. 5 is a block diagram illustrating an electronic device 1900 in accordance with an exemplary embodiment of the present disclosure. Referring to fig. 5, an electronic device 1900 includes a processor 1922, which may be one or more in number, and a memory 1932 for storing computer programs executable by the processor 1922. The computer program stored in memory 1932 may include one or more modules that each correspond to a set of instructions. Further, the processor 1922 may be configured to execute the computer program to perform the above-described unmanned vehicle distribution method.
In addition, the electronic device 1900 may also include a power component 1926 and a communication component 1950, the power component 1926 may be configured to perform power management of the electronic device 1900, the communication component 1950 may be configured to enable communication for the electronic device 1900,such as wired or wireless communication. In addition, the electronic device 1900 may also include input/output (I/O) interfaces 1958. The electronic device 1900 may operate based on an operating system, such as Windows Server, stored in memory 1932TM，Mac OS XTM，UnixTM，LinuxTMAnd so on.
In another exemplary embodiment, a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the above-described unmanned vehicle delivery method is also provided. For example, the computer readable storage medium may be the memory 1932 containing program instructions executable by the processor 1922 of the electronic device 1900 to perform the above-described drone dispensing method.
In another exemplary embodiment, a computer program product is also provided, which comprises a computer program executable by a programmable device, the computer program having code portions for performing the above-described unmanned vehicle distribution method when executed by the programmable device.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, various possible combinations will not be separately described in this disclosure.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure, as long as it does not depart from the spirit of the present disclosure.

Claims (14)

1. An unmanned vehicle distribution method, characterized in that the method comprises:
determining a target delivery location of a target order to be delivered, wherein the target delivery location is determined according to a delivery address corresponding to the target order to be delivered;
acquiring advance time information set by a user of the target order to be delivered, wherein the advance time information represents advance time amount for informing the user to take the order before the order is delivered;
determining the predicted time for the unmanned vehicle to reach the target delivery location based on the planned driving route for the unmanned vehicle to reach the target delivery location;
determining a message sending time at least according to the estimated time and the advance time information;
and sending a list taking reminding message to the client of the user when the message sending time is reached.
2. The method of claim 1, further comprising:
replanning a driving planning route of the unmanned vehicle to the target distribution place in response to the obtained advance time information modified by the user, so as to adjust the distribution sequence of the target order to be distributed and other orders to be distributed; and re-determining the estimated time and the message sending time.
3. The method of claim 1 or 2, wherein determining the estimated time for the unmanned vehicle to reach the target delivery location based on a planned route of travel of the unmanned vehicle to reach the target delivery location comprises:
calculating the running time of the unmanned vehicle according to the running planned route and the running speed of the unmanned vehicle;
acquiring user estimated order taking time corresponding to each other order to be distributed before the target order to be distributed respectively based on the distribution sequence of each order to be distributed corresponding to the driving planning route, and calculating to obtain estimated total order taking time before the target order to be distributed;
and determining the estimated time of the unmanned vehicle reaching the target distribution place according to the running time and the estimated total order taking time.
4. The method of claim 2, further comprising, after re-planning the driving planning route for the unmanned vehicle to the target delivery location to adjust the delivery order of the target order to be delivered and other orders to be delivered:
if the delivery order of at least a portion of the orders to be delivered, which are originally planned after the target orders to be delivered, is adjusted to be before the target orders to be delivered, the target orders to be delivered are delivered after the at least a portion of the orders to be delivered are delivered.
5. The method of claim 2, further comprising:
acquiring a list taking time period set by the user;
accordingly, the replanning of the planned driving route of the unmanned vehicle to the target delivery location comprises:
and replanning a driving planning route of the unmanned vehicle to the target delivery location based on the order taking time period so as to plan the predicted time determined based on the replanning driving planning route within the order taking time period.
6. The method of claim 1, wherein determining a message transmission time based at least on the estimated time and the lead time information comprises:
determining buffering time quantity, wherein the buffering time quantity is determined according to at least one of weather information, real-time traffic state information corresponding to the driving planning route, floor information in a delivery address corresponding to the target order to be delivered and building type information;
and determining the message sending time according to the estimated time, the advance time information and the buffering time quantity.
7. The method of claim 5, further comprising:
under the condition that the user is detected not to take the order within the preset time length after the unmanned vehicle arrives at the target distribution place, sending information for inquiring whether the user changes the order taking time period to a client of the user, wherein the target order to be distributed represents the current order to be distributed; and the number of the first and second electrodes,
judging whether to adjust the distribution sequence of the target orders to be distributed in all the orders to be distributed based on the feedback result of the user;
under the condition that the distribution sequence of the target orders to be distributed in all the orders to be distributed is determined to be adjusted, the driving planning route of the unmanned vehicle is re-planned according to the distribution place corresponding to the adjusted new orders to be distributed, and the unmanned vehicle is controlled to distribute the new orders to be distributed according to the re-planned driving planning route.
8. An unmanned vehicle dispensing apparatus, the apparatus comprising:
the first determining module is configured to determine a target delivery location of a target order to be delivered, wherein the target delivery location is determined according to a delivery address corresponding to the target order to be delivered;
a first obtaining module configured to obtain lead time information set by a user of the target order to be delivered, the lead time information representing a lead time amount for notifying the user of taking an order before the order arrives;
a second determination module configured to determine an expected time for the unmanned vehicle to reach the target delivery location based on a planned travel route for the unmanned vehicle to reach the target delivery location;
a third determining module configured to determine a message sending time at least according to the estimated time and the advance time information;
a sending module configured to send a pick-up reminder message to the client of the user when the message sending time is reached.
9. The apparatus of claim 8, further comprising:
the adjusting module is configured to replan the driving planning route of the unmanned vehicle to the target delivery location in response to the acquisition of the advance time information modified by the user, so as to adjust the delivery sequence of the target order to be delivered and other orders to be delivered; and re-determining the estimated time and the message sending time.
10. The apparatus of claim 8 or 9, wherein the second determining module comprises:
the measuring and calculating sub-module is configured to measure and calculate the driving time of the unmanned vehicle according to the driving planning route and the driving speed of the unmanned vehicle;
the calculation submodule is configured to obtain user estimated order taking time corresponding to each other order to be distributed before the target order to be distributed based on the distribution sequence of each order to be distributed corresponding to the driving planning route, and calculate to obtain estimated total order taking time before the target order to be distributed;
a first determination submodule configured to determine the estimated time for the unmanned vehicle to reach the target delivery location according to the travel time length and the estimated total order taking time length.
11. The apparatus of claim 9, further comprising:
a second acquisition module configured to acquire the order taking time period set by the user;
the adjusting module is further configured to replan the planned driving route of the unmanned vehicle to the target delivery location based on the order taking time period, so as to plan the estimated time determined based on the replanned planned driving route within the order taking time period.
12. The apparatus of claim 8, wherein the third determining module comprises:
a second determining submodule configured to determine a buffering time amount, wherein the buffering time amount is determined according to at least one of weather information, real-time traffic state information corresponding to the driving planning route, floor information in a delivery address corresponding to the target order to be delivered and building type information;
a third determining submodule configured to determine the message transmission time based on the estimated time, the advance time information, and the amount of buffering time.
13. The apparatus of claim 11, further comprising:
the inquiring module is configured to send information for inquiring whether the user changes the order taking time period to a client of the user under the condition that the user is detected not to take an order within a preset time length after the unmanned vehicle arrives at the target distribution place, wherein the target order to be distributed represents a current order to be distributed; and the number of the first and second electrodes,
the judging module is configured to judge whether to adjust the distribution sequence of the target orders to be distributed in all the orders to be distributed based on the feedback result of the user;
and the delivery module is configured to, under the condition that the delivery sequence of the target order to be delivered in all the orders to be delivered is determined to be adjusted, replan the driving planning route of the unmanned vehicle according to the delivery location corresponding to the adjusted new order to be delivered currently, so as to control the unmanned vehicle to deliver the new order to be delivered currently according to the replanned driving planning route.
14. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 7.
CN202111016211.0A 2021-08-31 2021-08-31 Unmanned vehicle distribution method and device and storage medium Pending CN113807672A (en)

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Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114372749A (en) * 2022-01-06 2022-04-19 北京京东乾石科技有限公司 Task processing method and device for unmanned vehicle
CN114677089A (en) * 2022-04-08 2022-06-28 北京京东乾石科技有限公司 Distribution method and device

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN114372749A (en) * 2022-01-06 2022-04-19 北京京东乾石科技有限公司 Task processing method and device for unmanned vehicle
CN114677089A (en) * 2022-04-08 2022-06-28 北京京东乾石科技有限公司 Distribution method and device

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