CN115798253A - Method, device, equipment, medium for determining restricted docking positions - Google Patents

Abstract

Embodiments of the present disclosure relate to methods, devices, devices, and media for determining restricted docking positions. The method includes: respectively performing order stop position adjustment for a plurality of positions of the target road section, wherein in the order stop position adjustment for each position, at least one other position in the plurality of positions is provided as an available stop position of the order, so that a desired stop location for an alternate order; determining a plurality of violation rates associated with a target road segment during execution of an order stop adjustment for the plurality of locations; and determining one or more restricted stop locations from the plurality of locations based on the plurality of violation rates . In this way, specific restricted stop locations within a road segment can be determined efficiently and accurately.

Description

Method, device, equipment, medium for determining restricted docking positions

This application is a divisional application of the invention patent application No. 202110003661.X (titled "Method, device, equipment, medium for determining restricted docking positions") submitted on January 4, 2021.

technical field

Embodiments of the present disclosure relate generally to data processing, and more particularly to methods, apparatus, electronic devices, and computer storage media for determining restricted docking locations.

Background technique

With the development of information technology, the way of travel using the network is becoming more and more popular. This way of travel enables the vehicle to stop at a location designated by the user or passengers, so that the user can get on/off the vehicle conveniently, thereby making the travel of the user more convenient. However, users may not be familiar with the traffic management conditions near their designated stop locations. In this case, the stop location specified by the user may be on a road section where stops are restricted. Stopping on road sections with limited stops will significantly affect the normal traffic of the road and impose a burden on traffic management. Especially in big cities where online ride-hailing is widely used, this will make the problem of traffic congestion and chaos in big cities even worse. In addition, since parking on restricted road sections is likely to generate a ticket, it will also have a significant impact on the driver's user experience.

Contents of the invention

According to an embodiment of the present disclosure, a solution for determining a restricted parking position is provided.

In a first aspect of the present disclosure, a method of determining restricted docking locations is provided. The method includes: respectively performing order stop position adjustments for a plurality of positions of the target road section, wherein in the order stop position adjustment for each position, at least one other position in the plurality of positions is provided as an available stop position of the order, so that a desired stop location for an alternate order; determining a plurality of violation rates associated with a target road segment during execution of an order stop adjustment for the plurality of locations; and determining one or more restricted stop locations from the plurality of locations based on the plurality of violation rates .

In a second aspect of the present disclosure, an apparatus for determining a restricted docking position is provided. The apparatus includes: an adjustment module configured to respectively perform order stop location adjustments for a plurality of locations of the target road segment, wherein in the order stop location adjustment for each location, at least one other location of the plurality of locations is provided as an order to replace the desired stop location of the order; a first determination module configured to determine a plurality of violation rates associated with the target road segment during execution of order stop location adjustments for the plurality of locations; and a second determination module , configured to determine one or more restricted stop locations from among the plurality of locations based on the plurality of violation rates.

In a third aspect of the present disclosure, an electronic device is provided. The electronic device includes: one or more processors; and a memory for storing one or more programs, and when the one or more programs are executed by the one or more processors, the electronic device implements the first aspect according to the present disclosure Methods.

In a fourth aspect of the present disclosure, there is provided a computer-readable medium on which is stored a computer program that implements the method according to the first aspect of the present disclosure when executed by a processor.

It should be understood that what is described in the Summary of the Invention is not intended to limit the key or important features of the embodiments of the present disclosure, nor is it intended to limit the scope of the present disclosure. Other features of the present disclosure will be readily understood through the following description.

Description of drawings

The above and other features, advantages and aspects of the various embodiments of the present disclosure will become more apparent with reference to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, identical or similar reference numerals denote identical or similar elements, wherein:

Figure 1 shows a schematic diagram of an exemplary environment in which embodiments of the present disclosure can be implemented;

Fig. 2 shows a schematic diagram of an example of order docking position adjustment according to some embodiments of the present disclosure;

Fig. 3 shows a flow chart of a method for determining restricted parking locations according to some embodiments of the present disclosure;

Figure 4 shows a flowchart of a method for performing individual adjustments based on acceptance, according to some embodiments of the present disclosure;

FIG. 5 shows a block diagram of an apparatus for determining restricted docking locations according to some embodiments of the present disclosure; and

FIG. 6 shows a block diagram of an electronic device capable of implementing embodiments of the present disclosure.

Detailed ways

Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. Although certain embodiments of the present disclosure are shown in the drawings, it should be understood that the disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein; A thorough and complete understanding of this disclosure. It should be understood that the drawings and embodiments of the present disclosure are for exemplary purposes only, and are not intended to limit the protection scope of the present disclosure.

In the description of the embodiments of the present disclosure, the term "comprising" and its similar expressions should be interpreted as an open inclusion, that is, "including but not limited to". The term "based on" should be understood as "based at least in part on". The term "one embodiment" or "the embodiment" should be read as "at least one embodiment". The terms "first", "second", etc. may refer to different or the same object. Other definitions, both express and implied, may also be included below. It should be understood that the operations performed in this application are performed with the consent and authorization of the user, and comply with the requirements of relevant laws and regulations.

As mentioned above, the parking location specified by the user may be in a road section where parking is restricted, which will cause various adverse effects on the road traffic management and the driver's user experience. Therefore, it is necessary to avoid as much as possible the situation that the stop position is in a road section where stops are restricted. In some cases, not the entire road section is restricted from stopping, but only a specific location in the road section is restricted from stopping.

However, sometimes it is only possible to know that the entire road section is restricted to stop, but not which specific position in the entire road section is restricted to stop. Traditionally, it is impossible to accurately determine which specific position in the entire road section is restricted to stop when only knowing that the entire road section is restricted from stopping. In this case, stops have to be avoided for the entire road segment.

Avoiding stops throughout the road segment will cause all kinds of problems. For example, avoiding stops on an entire road segment will make it impossible to stop at locations that would otherwise allow stops, thereby wasting traffic resources and also directing vehicles to other nearby road segments, thereby causing potential congestion on other road segments. Further, since the user cannot specify to stop at the desired road section, it will affect the user's travel experience.

To this end, the embodiments of the present disclosure provide a solution for determining a restricted parking position. In this scheme, order stop location adjustments can be performed separately for multiple locations of the target road section. In order docking location adjustments for each location, at least one other location of the plurality of locations is provided as an available docking location for the order instead of a desired docking location for the order. Thereby, a plurality of violation rates associated with the target road segment during execution of the order stop location adjustment for the plurality of locations may be determined, and one or more restricted stop locations are determined from the plurality of locations based on the plurality of violation rates.

In this way, in this solution, restricted stop positions in a road section can be determined efficiently and accurately. In this way, it is possible to prevent the parking position specified by the user from being in a restricted parking position, thereby reducing the impact on traffic management and improving the driver's user experience. In addition, since the user can still specify other non-restricted stop locations in the road segment as stop locations, compared with avoiding stops on the entire road segment, it will increase the use of traffic resources and improve the user's travel experience. Embodiments of the present disclosure will be specifically described below with reference to the accompanying drawings.

FIG. 1 shows a schematic diagram of an exemplary environment 100 in which embodiments of the present disclosure can be implemented. Environment 100 includes computing device 110 . The computing device 110 may at least include a processor, a memory, and other components usually present in a general-purpose computer, so as to realize functions such as computing, storage, communication, and control. For example, computing device 110 may be a smartphone, tablet computer, personal computer, desktop computer, notebook computer, server, mainframe, distributed computing system, or the like.

In environment 100, computing device 110 is configured to determine specific restricted stop locations within a road segment (alternatively referred to as a "target road segment"). Specifically, the computing device 110 may respectively perform order stop location adjustments for multiple locations of the target road section. For example, the plurality of locations may be locations 120-1 to 120-N (hereinafter collectively referred to as "locations 120", where N is an integer greater than 1). In order docking location adjustments for each location, at least one other location of the plurality of locations is provided as an available docking location for the order instead of a desired docking location for the order.

FIG. 2 shows a schematic diagram of an example 200 of order docking position adjustment according to some embodiments of the present disclosure. FIG. 2 shows a geographic area 210 in which a target road segment is located. In the geographic area 210 , dark gray represents roads where vehicles can pass, light gray represents buildings where vehicles cannot pass, one rectangular frame represents a location, and three rectangular frames collectively represent a target road section. As shown in Figure 2, the desired docking location for the order is location 120-1. However, in an order docking location adjustment for location 120-1, at least one other location of the plurality of locations (eg, locations 120-2 and/or 120-3) is provided as an available docking location for the order. In this case, the vehicle is recommended to stop at other locations in the target road segment. It should be understood that only locations 120-1 to 120-3 are shown in FIG. 2 for clarity, and that, in fact, the target road segment may include any suitable number of locations.

Referring back to Figure 1, the adjustment of the stop position of the order will cause the violation rate of the target road section to change. For example, the violation rates may be violation rates 130-1 to 130-N corresponding to the positions 120-1 to 120-N (hereinafter collectively referred to as "violation rates 130", where N is an integer greater than 1). If the violation rate 130 corresponding to the location 120 decreases after order docking location adjustment is performed for the location 120, it means that the location 120 may be a restricted docking location with a risk of violation.

In view of this, the computing device 110 can determine specific restricted stopping positions in the target road section based on the violation rate 130, such as restricted stopping positions 140-1 to 140-M (hereinafter, collectively referred to as "restricted stopping positions 140", where M is greater than 1 and an integer less than or equal to N). It should be understood that although FIG. 1 shows a plurality of restricted stopping positions, the target road section may have only one restricted stopping position.

In this way, in this solution, restricted stop positions in a road section can be determined efficiently and accurately. Hereinafter, operations performed by the computing device 110 will be described in detail with reference to FIGS. 2-4 .

FIG. 3 shows a flow chart of a method 300 for determining restricted parking locations according to some embodiments of the present disclosure. Method 300 may be implemented by computing device 110 as shown in FIG. 1 . Alternatively, the method 300 may also be implemented by other bodies than the computing device 110 . It should be understood that method 300 may also include additional steps not shown and/or steps shown may be omitted, and that the scope of the present disclosure is not limited in this respect.

At 310 , the computing device 110 respectively performs order stop location adjustments for the plurality of locations 120 of the target road segment. In order docking location adjustments for each location, at least one other location of the plurality of locations is provided as an available docking location for the order instead of a desired docking location for the order. For example, taking location 120-1 as an example, in an order docking location adjustment for location 120-1, at least one other location among locations 120-2 to 120-N is provided as an available docking location for the order instead of the order's docking location. Desired docking position 120-1.

As an example, when a user reserves a vehicle using an online car-hailing application, the expected stop location of the order can be determined according to the user's boarding or disembarking location. For example, since the location where the user places the order is closer to the location 120-1 in the road segment, the location 120-1 may be determined as the expected stop location of the order. In determining the specific restricted stop location in the route segment, at least one other location from among the locations 120-2 to 120-N is provided as an available stop location for the order instead of the desired stop location 120-1 for the order. Thus, a vehicle that would otherwise be expected to park at location 120-1 will instead be recommended to park at the adjusted other location.

In some embodiments, computing device 110 may also predetermine number of locations 120 to perform order docking location adjustments. To this end, the computing device 110 may determine a road segment that is restricted from stopping from among the multiple road segments as the target road segment. For example, the computing device 110 may determine road sections that have a risk of violation and are restricted to stop based on historical violation conditions such as the historical violation rate or the number of historical violations of the road section.

The computing device 110 may divide the target road segment into a plurality of sub-road segments. The target road segment can be divided in various suitable ways. For example, the computing device 110 may equally divide the target road section into a plurality of sub-road sections based on the length of the target road section. As another example, the computing device 110 may divide the target road segment based on the user's actual/get off situation. For example, the computing device 110 may divide the target road section so that the times of getting on/off of the user in each sub-road section are the same.

Further, computing device 110 may determine multiple locations 120 from multiple sub-road segments. For example, computing device 110 may determine a location from each sub-road segment. In this case, each location can represent a sub-segment.

In some embodiments, order docking location adjustments for each of plurality of locations 120 include at least one individual adjustment. In each individual adjustment, one of the at least one other location is provided as an available docking location for the order instead of the desired docking location for the order. For example, in an individual adjustment for location 120-1, location 120-2 is provided as an available docking location for the order in place of the desired docking location 120-1 for the order. And in another individual adjustment for the location 120-1, the location 120-3 is provided as an available docking location for the order instead of the desired docking location 120-1 for the order.

Before performing each individual adjustment, the computing device 110 may also consider the user's acceptance of the individual adjustment involved in the individual adjustment, so as to determine whether to perform the individual adjustment based on the acceptance. Hereinafter, actions performed by the computing device 110 related to individual adjustment will be described in detail with reference to FIG. 4 , and description thereof will be omitted here.

At 320 , the computing device 110 will determine a number of violation rates 130 associated with the target road segment during execution of order stop location adjustments for the number of locations 120 . For example, the violation rate 130-1 corresponding to the location 120-1 may be the violation rate on the target road section when the expected stop location 120-1 of the order is replaced by at least one other location from the locations 120-2 to 120-N.

As mentioned above, the adjustment of the stop position of the order will lead to the change of the violation rate of the target road section. For example, after order stop location adjustments are performed for location 120-1, vehicles that were expected to stop at location 120-1 will be recommended to stop at other locations. In this case, if the violation rate 130-1 corresponding to the location 120-1 decreases, it means that the location 120-1 may be a restricted parking location with a risk of violation. In view of this, at 330 computing device 110 determines one or more restricted stop locations 140 from plurality of locations 120 based on plurality of violation rates 130 .

In some embodiments, the computing device 110 may compare the violation rate of the target road segment during the period when the order stop position adjustment is not executed with the multiple violation rates of the target road segment during the execution order stop position adjustment period to determine the restricted stop position. Specifically, the computing device 110 may acquire the reference violation rate associated with the target road section during the period when the order stop position adjustment is not performed. Further, the computing device 110 may respectively compare the reference violation rate with a plurality of violation rates 130, and determine one or more locations from the plurality of locations 120 whose violation rate is lower than the reference violation rate as one or more restricted parking locations 140.

For example, assuming that the reference violation rate is 20%, the violation rate corresponding to location 120-1 is 16%, the violation rate corresponding to location 120-1 is 21%, and the violation rate corresponding to location 120-3 is 22%. It can be seen that the violation rate corresponding to position 120-1 is lower than the reference violation rate. This means that after a vehicle originally expected to stop at the location 120-1 is recommended to stop at another location, the violation rate decreases, so that it can be determined that the location 120-1 is a restricted parking location with a risk of violation.

Alternatively, in some embodiments, computing device 110 may compare multiple violation rates 130 and, based on the results of the comparison, determine one or more restricted stop locations 140 from among multiple locations 120 . For example, assume that the violation rate corresponding to location 120-1 is 16%, the violation rate corresponding to location 120-1 is 21%, and the violation rate corresponding to location 120-3 is 22%. In this case, the computing device 110 may compare the violation rates of the locations 120-1 to 120-3, and determine the location 120-1 corresponding thereto with the lowest violation rate 130 as the restricted parking location.

In this way, in this solution, specific restricted stop positions in a road segment can be determined efficiently and accurately. In this way, it is possible to prevent the parking position specified by the user from being in a restricted parking position, thereby reducing the impact on traffic management and improving the driver's user experience. In addition, since the user can still specify other non-restricted stop locations in the road segment as stop locations, compared with avoiding stops on the entire road segment, it will increase the use of traffic resources and improve the user's travel experience.

FIG. 4 shows a flowchart of a method 400 for performing individual adjustments based on acceptance, according to some embodiments of the present disclosure. As noted above, order docking location adjustments for each of plurality of locations 120 include at least one individual adjustment. In each individual adjustment, one of the at least one other location is provided as an available docking location for the order instead of the desired docking location for the order. Before performing each individual adjustment, the computing device 110 may consider the user's acceptance of the individual adjustment involved in the individual adjustment, so as to determine whether to perform the individual adjustment based on the acceptance.

Specifically, for each individual adjustment for each location, at 410 computing device 110 may determine a user associated with the individual adjustment. For example, an individual adjustment may involve adjusting the desired docking location 120-1 for an order placed by a particular user to the available docking location 120-3. In such a case, computing device 110 may determine that this particular user is involved in the individual adjustment.

At 420, computing device 110 may determine the user's acceptance of the individual adjustment. In some embodiments, computing device 110 may apply characteristics associated with the user to an acceptance determination model to determine acceptance. For example, these characteristics may include individual characteristics of the user himself.

For example, individual characteristics may include the number of times the user has received historical individual adjustments, the rate at which the user has received historical individual adjustments, and/or the historical number of times the user has gotten in/out of the vehicle at the location.

In addition, the acceptance determination model may be deployed inside the computing device 110 or outside the computing device 110, and the present invention is not limited here. The acceptance determination model can be various appropriate neural network models. For example, the acceptance determination model can be a neural network model that implements reinforcement learning (Reinforcement Learning, RL), such as DQN (Deep Q Network, deep reinforcement learning network) model, A3C (Asynchronous Advantage Actor-Critic, asynchronous advantage actor review home) model, etc.

Reinforcement learning is one of the paradigms and methodologies of machine learning, which is used to describe and solve the problem that the agent (agent) learns strategies to maximize rewards or achieve specific goals in the process of interacting with the environment. Reinforcement learning does not require any data to be given in advance, but obtains learning information and updates model parameters by receiving rewards (feedback) from the environment for actions in the iterative process.

For example, in the case that the user rejects the adjustment of the docking position of the order, the acceptance determination model may be updated based on the rejection behavior, so that the user's acceptance output by the acceptance determination model decreases. On the contrary, in the case that the user accepts the adjustment of the stop position of the order, the acceptance determination model can be updated based on the acceptance behavior, so that the acceptance of the user output by the acceptance determination model increases. In this way, the solution can use the acceptability determination model to automatically and efficiently determine the user's acceptance of order docking position adjustment based on the user's historical behavior.

At 430, computing device 110 may perform individual adjustments based on acceptance.

In this way, in this solution, it may be decided according to user acceptance whether to perform adjustment of the docking position of each individual order. In this way, the specific restricted stop position in a road section can be determined through order stop position adjustment without affecting the user experience.

Fig. 5 shows a block diagram of an apparatus 500 for determining a restricted parking position according to some embodiments of the present disclosure. For example, apparatus 500 may be disposed in computing device 110 . As shown in FIG. 5 , the device 500 includes an adjustment module 510 configured to perform order stop position adjustments for multiple positions of the target road section, wherein in the order stop position adjustment for each position, at least one of the multiple positions Other locations are provided as available stop locations for the order to replace the desired stop location for the order; a first determining module 520 configured to determine a plurality of violations associated with the target road segment during execution of order stop location adjustments for the plurality of locations rate; and a second determination module 530 configured to determine one or more restricted parking positions from a plurality of positions based on a plurality of violation rates.

In some embodiments, order docking location adjustments for each location include at least one individual adjustment in which one of at least one other location is provided as an available docking location for the order in place of the order's docking location. A docking location is desired, and the adjustment module 510 includes: for each individual adjustment for each location: a user determination module configured to determine a user associated with the individual adjustment; a user acceptance determination module configured to determine user-to-individual adjustment and an individual adjustment module configured to perform individual adjustments based on the acceptance.

In some embodiments, the user acceptance determination module includes: an acceptance determination module configured to apply the features associated with the user to the acceptance determination model to determine the acceptance.

In some embodiments, the characteristics include at least one of the following: the number of times the user has accepted historical individual adjustments, the rate at which users have accepted historical individual adjustments, the historical number of times the user has picked up/disembarked at the location, other users whose order is expected to stop at the location The number of historical individual adjustments received, the rate at which historical individual adjustments were accepted by other users, and the historical number of times other users boarded/alighted at the location.

In some embodiments, the second determination module 530 includes: an acquisition module configured to acquire a reference violation rate associated with the target road segment during the period when the order stop position adjustment is not performed; a first comparison module configured to use the reference violation rate Comparing with a plurality of violation rates respectively; and a first restricted stopping position determination module configured to determine one or more positions whose violation rate is lower than the reference violation rate from the plurality of positions as one or more restricted stopping positions.

In some embodiments, the second determination module 530 includes: a second comparison module configured to compare a plurality of violation rates; and a second restricted stop position determination module configured to select Identify one or more restricted docking locations in .

In some embodiments, the apparatus 500 further includes: a road section determination module configured to determine a road section restricted from stopping as a target road section from a plurality of road sections; a division module configured to divide the target road section into a plurality of sub-road sections; and the position The determination module is configured to determine a plurality of positions from a plurality of subroad segments.

FIG. 6 shows a schematic block diagram of an electronic device 600 that can be used to implement embodiments of the present disclosure. The device 600 may be used to implement the apparatus 500 in FIG. 5 . As shown, the device 600 includes a central processing unit (CPU) 601 which can be programmed according to computer program instructions stored in a read only memory (ROM) 602 or loaded from a storage unit 608 into a random access memory (RAM) 603 program instructions to perform various appropriate actions and processes. In the RAM 603, various programs and data necessary for the operation of the device 600 can also be stored. The CPU 601 , ROM 602 , and RAM 603 are connected to each other through a bus 604 . An input/output (I/O) interface 605 is also connected to the bus 604 .

Multiple components in the device 600 are connected to the I/O interface 605, including: an input unit 606, such as a keyboard, a mouse, etc.; an output unit 607, such as various types of displays, speakers, etc.; a storage unit 608, such as a magnetic disk, an optical disk, etc. ; and a communication unit 609, such as a network card, a modem, a wireless communication transceiver, and the like. The communication unit 609 allows the device 600 to exchange information/data with other devices over a computer network such as the Internet and/or various telecommunication networks.

Various procedures and processes described above, such as methods 300 and/or 400 , may be executed by the processing unit 601 . For example, in some embodiments, methods 300 and/or 400 may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as storage unit 608 . In some embodiments, part or all of the computer program may be loaded and/or installed on the device 600 via the ROM 602 and/or the communication unit 609 . When the computer program is loaded into RAM 603 and executed by CPU 601, one or more steps of methods 300 and/or 400 described above may be performed. Alternatively, in other embodiments, the CPU 601 may be configured to execute the methods 300 and/or 400 in any other suitable manner (eg, by means of firmware).

The present disclosure may be a method, an apparatus, a system computer-readable storage medium. A computer readable storage medium may be a tangible device that can retain and store instructions for use by an instruction execution device. A computer readable storage medium may be, for example, but is not limited to, an electrical storage device, a magnetic storage device, an optical storage device, an electromagnetic storage device, a semiconductor storage device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of computer-readable storage media include: portable computer diskettes, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM), or flash memory), static random access memory (SRAM), compact disc read only memory (CD-ROM), digital versatile disc (DVD), memory stick, floppy disk, mechanically encoded device, such as a printer with instructions stored thereon A hole card or a raised structure in a groove, and any suitable combination of the above. As used herein, computer-readable storage media are not to be construed as transient signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through waveguides or other transmission media (e.g., pulses of light through fiber optic cables), or transmitted electrical signals.

Computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or downloaded to an external computer or external storage device over a network, such as the Internet, a local area network, a wide area network, and/or a wireless network. The network may include copper transmission cables, fiber optic transmission, wireless transmission, routers, firewalls, switches, gateway computers, and/or edge servers. A network adapter card or a network interface in each computing/processing device receives computer-readable program instructions from the network and forwards the computer-readable program instructions for storage in a computer-readable storage medium in each computing/processing device .

Computer program instructions for performing the operations of the present disclosure may be assembly instructions, instruction set architecture (ISA) instructions, machine instructions, machine-dependent instructions, microcode, firmware instructions, state setting data, or Source or object code written in any combination, including object-oriented programming languages—such as Smalltalk, C++, etc., and conventional procedural programming languages—such as the “C” language or similar programming languages. Computer readable program instructions may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer, or entirely on the remote computer or server implement. In cases involving a remote computer, the remote computer can be connected to the user computer through any kind of network, including a local area network (LAN) or a wide area network (WAN), or it can be connected to an external computer (such as via the Internet using an Internet service provider). connect). In some embodiments, an electronic circuit, such as a programmable logic circuit, field programmable gate array (FPGA), or programmable logic array (PLA), can be customized by utilizing state information of computer-readable program instructions, which can Various aspects of the present disclosure are implemented by executing computer readable program instructions.

Various aspects of the disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) according to embodiments of the disclosure. It should be understood that each block of the flowcharts and/or block diagrams, and combinations of blocks in the flowcharts and/or block diagrams, can be implemented by computer-readable program instructions.

These computer-readable program instructions may be provided to a processing unit of a general purpose computer, special purpose computer, or other programmable data processing apparatus to produce a machine such that when executed by the processing unit of the computer or other programmable data processing apparatus , producing an apparatus for realizing the functions/actions specified in one or more blocks in the flowchart and/or block diagram. These computer-readable program instructions can also be stored in a computer-readable storage medium, and these instructions cause computers, programmable data processing devices and/or other devices to work in a specific way, so that the computer-readable medium storing instructions includes An article of manufacture comprising instructions for implementing various aspects of the functions/acts specified in one or more blocks in flowcharts and/or block diagrams.

It is also possible to load computer-readable program instructions into a computer, other programmable data processing device, or other equipment, so that a series of operation steps are performed on the computer, other programmable data processing device, or other equipment to produce a computer-implemented process , so that instructions executed on computers, other programmable data processing devices, or other devices implement the functions/actions specified in one or more blocks in the flowcharts and/or block diagrams.

The flowcharts and block diagrams in the figures show the architecture, functions and operations of possible implementations of systems and methods according to various embodiments of the present disclosure. In this regard, each block in a flowchart or block diagram may represent a module, a portion of a program segment, or an instruction that includes one or more Executable instructions. In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks in succession may, in fact, be executed substantially concurrently, or they may sometimes be executed in the reverse order, depending upon the functionality involved. It should also be noted that each block of the block diagrams and/or flowchart illustrations, and combinations of blocks in the block diagrams and/or flowchart illustrations, can be implemented by a dedicated hardware-based system that performs the specified function or action , or may be implemented by a combination of dedicated hardware and computer instructions.

Having described various embodiments of the present disclosure above, the foregoing description is exemplary, not exhaustive, and is not limited to the disclosed embodiments. Many modifications and alterations will be apparent to those of ordinary skill in the art without departing from the scope and spirit of the described embodiments. The terminology used herein is chosen to best explain the principle of each embodiment, practical application or improvement of technology in the market, or to enable other ordinary skilled in the art to understand each embodiment disclosed herein.

Claims (16)

1. A method of determining a restricted parking location, comprising:

performing order stop position adjustments for a plurality of positions of the target road segment, respectively, wherein in the order stop position adjustment for each position, at least one other position of the plurality of positions is provided as an available stop position for the order in place of a desired stop position for the order;

determining a plurality of violation rates; and

one or more restricted parking positions are determined.

2. The method of claim 1, wherein the order stop position adjustment for each of the positions comprises at least one individual adjustment in which one of the at least one other position is provided as an available stop position for the order in place of a desired stop position for the order, and performing the order stop position adjustment for the plurality of positions separately comprises:

for said each individual adjustment of said each position:

determining a user associated with the individual adjustment;

determining an acceptance of the individual adjustment by the user; and

performing the individual adjustment based on the acceptance.

3. The method of claim 2, wherein determining the receptivity comprises:

applying features associated with the user to an acceptability determination model to determine the acceptability.

4. The method of claim 3, wherein the features comprise at least one of:

the number of times the user accepts historical individual adjustments,

the user accepts the rate of historical individual adjustments,

a historical number of times the user got on/off the vehicle at the location,

the desired parking location of the order receives a historical number of individual adjustments for other users of the location,

the other users accept a historical individual adjusted rate, an

Historical times of said other users getting on/off the vehicle at said location.

5. The method of claim 1, wherein determining the one or more restricted parking positions comprises:

obtaining a reference violation rate associated with the target road segment during a time when the order parking position adjustment is not performed;

comparing the reference violation rate with the plurality of violation rates respectively; and

determining one or more locations from the plurality of locations where a violation rate is below the reference violation rate as the one or more restricted parking locations.

6. The method of claim 1, wherein determining the one or more restricted parking positions comprises:

comparing the plurality of violation rates; and

determining the one or more restricted parking positions from the plurality of positions based on a result of the comparison.

7. The method of claim 1, further comprising:

determining a road segment restricted from parking from a plurality of road segments as the target road segment;

dividing the target road segment into a plurality of sub-road segments; and

determining the plurality of locations from the plurality of sub-segments.

8. An apparatus for determining a restricted parking position, comprising:

an adjustment module configured to perform order stop position adjustments for a plurality of positions of the target road segment, respectively, wherein in the order stop position adjustment for each position, at least one other position of the plurality of positions is provided as an available stop position for the order in place of a desired stop position for the order;

a first determination module configured to determine a plurality of violation rates; and

a second determination module configured to determine one or more restricted parking locations.

9. The apparatus of claim 8, wherein the order stop position adjustment for each of the positions comprises at least one individual adjustment in which one of the at least one other position is provided as an available stop position for the order in place of a desired stop position for the order, and the adjustment module comprises:

for said each individual adjustment of said each position:

a user determination module configured to determine a user associated with the individual adjustment;

a user acceptance determination module configured to determine an acceptance of the individual adjustment by the user; and

an individual adjustment module configured to perform the individual adjustment based on the acceptance.

10. The apparatus of claim 9, wherein the user acceptance determination module comprises:

an acceptance determination module configured to apply a feature associated with the user to an acceptance determination model to determine the acceptance.

11. The apparatus of claim 10, wherein the features comprise at least one of:

the number of times the user accepts historical individual adjustments,

the user accepts the rate of historical individual adjustments,

a historical number of times the user got on/off the vehicle at the location,

the desired stop location for the order is the number of times the historical individual adjustments are accepted for other users of the location,

the other users accept a historical individual adjusted rate, an

Historical times of said other users getting on/off the vehicle at said location.

12. The apparatus of claim 8, wherein the second determining module comprises:

an obtaining module configured to obtain a reference violation rate associated with the target road segment during which the order stop position adjustment is not performed;

a first comparison module configured to compare the reference violation rate with the plurality of violation rates, respectively; and

a first restricted parking location determination module configured to determine one or more locations from the plurality of locations where a violation rate is lower than the reference violation rate as the one or more restricted parking locations.

13. The apparatus of claim 8, wherein the second determining module comprises:

a second comparison module configured to compare the plurality of violation rates; and

a second restricted parking position determination module configured to determine the one or more restricted parking positions from the plurality of positions based on a result of the comparison.

14. The apparatus of claim 8, wherein the apparatus further comprises:

a road segment determination module configured to determine a road segment, for which docking is restricted, from among a plurality of road segments as the target road segment;

a dividing module configured to divide the target road segment into a plurality of sub-road segments; and

a location determination module configured to determine the plurality of locations from the plurality of sub-segments.

15. An electronic device, the electronic device comprising:

one or more processors; and

memory storing one or more programs that, when executed by the one or more processors, cause the electronic device to implement the method of any of claims 1-7.

16. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the method according to any one of claims 1-7.

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