CN112652192A - Method, apparatus, device, medium and program product for determining a restricted parking position - Google Patents
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Abstract
Embodiments of the present disclosure relate to methods, apparatuses, devices, media and program products for determining a restricted parking position. The method comprises the following steps: 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 associated with the target road segment during performance of the order parking position adjustment for the plurality of locations; and determining one or more restricted parking locations from the plurality of locations based on the plurality of violation rates. In this way, specific restricted parking positions in a section of road segment can be determined efficiently and accurately.
Description
Technical Field
Embodiments of the present disclosure relate generally to data processing and, more particularly, relate to a method, apparatus, electronic device, computer storage medium, and computer program product for determining a restricted docking position.
Background
With the development of information technology, a travel mode using a network is more and more popular. The travel mode enables the vehicle to stop at the position designated by the user or the passenger, so that the user can conveniently get on/off the vehicle, and the travel of the user is more convenient. However, the user may not be familiar with traffic management conditions near their designated stop location. In this case, the user-specified parking position may be on the road section where parking is restricted. Stopping at a limited stop road segment will significantly affect the normal passage of the road and impose a burden on traffic management. Especially in the big cities where the network appointment cars are widely used, the problem of traffic jam and disorder in the big cities is more serious. Furthermore, since parking on a road segment where parking is restricted is likely to generate a ticket, it will also have a significant impact on the user experience of the driver.
Disclosure of 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 disclosure, a method of determining a restricted parking position is provided. The method comprises the following steps: 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 associated with the target road segment during performance of the order parking position adjustment for the plurality of locations; and determining one or more restricted parking 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 parking position is provided. The device includes: 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 associated with the target road segment during performance of the order parking location adjustment for the plurality of locations; and a second determination module configured to determine one or more restricted parking locations from the plurality of locations based on the plurality of violation rates.
In a third aspect of the disclosure, an electronic device is provided. The electronic device includes: one or more processors; and memory for storing one or more programs that, when executed by the one or more processors, cause the electronic device to implement the method according to the first aspect of the disclosure.
In a fourth aspect of the present disclosure, a computer-readable medium is provided, on which a computer program is stored which, when executed by a processor, implements a method according to the first aspect of the present disclosure.
In a fifth aspect of the present disclosure, a computer program product is provided, comprising a computer program which, when executed by a processor, implements the method according to the first aspect of the present disclosure.
It should be understood that the statements herein reciting aspects are not intended to limit the critical or essential features of the embodiments of the present disclosure, nor are they intended to limit the scope of the present disclosure. Other features of the present disclosure will become apparent from the following description.
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The above and other features, advantages and aspects of various embodiments of the present disclosure will become more apparent by referring to the following detailed description when taken in conjunction with the accompanying drawings. In the drawings, like or similar reference characters designate like or similar elements, and wherein:
FIG. 1 illustrates a schematic diagram of an exemplary environment in which embodiments of the present disclosure can be implemented;
FIG. 2 illustrates a schematic diagram of an example of order stop position adjustment, according to some embodiments of the present disclosure;
FIG. 3 illustrates a flow chart of a method for determining a restricted parking position according to some embodiments of the present disclosure;
FIG. 4 illustrates a flow chart of a method for performing individual adjustments based on receptivity in accordance with some embodiments of the present disclosure;
FIG. 5 illustrates a block diagram of an apparatus for determining a restricted parking position according to some embodiments of the present disclosure; and
FIG. 6 illustrates a block diagram of an electronic device capable of implementing embodiments of the present disclosure.
Detailed Description
Embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While certain embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be construed as limited to the embodiments set forth herein, but rather are provided for a more thorough and complete understanding of the present disclosure. It should be understood that the drawings and embodiments of the disclosure are for illustration purposes only and are not intended to limit the scope of the disclosure.
In describing embodiments of the present disclosure, the terms "include" and its derivatives should be interpreted as being inclusive, i.e., "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 understood as "at least one embodiment". The terms "first," "second," and the like may refer to different or the same object. Other explicit and implicit definitions are also possible below.
As described above, the user-specified stop location may be in a road segment where stopping is restricted, which may have various adverse effects on traffic management of the road and user experience of the driver. Therefore, it is necessary to avoid as much as possible the situation where the parking position is in the limited parked road section. In some cases, not the entire road segment is restricted from parking, but only a specific location in the road segment.
However, sometimes it is only known that the entire road segment is restricted from parking, and it is not known which specific location in the entire road segment is restricted from parking. Conventionally, in a case where it is only known that the entire road segment is restricted from parking, it is also impossible to accurately determine which specific position in the entire road segment is restricted from parking. In this case, stops have to be avoided over the entire road section.
Avoiding stops over the entire road section would lead to various problems. For example, avoiding stops over an entire road segment would make locations that would otherwise allow stops unavailable, wasting traffic resources, and also directing vehicles to other road segments in the vicinity, causing potential congestion for other road segments. Further, the user's travel experience will be affected because the user cannot specify a stop on his desired road segment.
To this end, embodiments of the present disclosure provide a solution for determining a restricted parking position. In this scheme, the order stop position adjustment may be performed for a plurality of positions of the target road segment, respectively. In 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 the desired stop position for the order. Thus, a plurality of violation rates associated with the target road segment during performance of the order parking location adjustment for the plurality of locations may be determined, and one or more restricted parking locations may be determined from the plurality of locations based on the plurality of violation rates.
In this way, in the present solution, the restricted parking position in one road segment can be determined efficiently and accurately. Therefore, the parking position appointed by the user can be prevented from being in the limited parking position, so that the influence on traffic management is reduced, and the user experience of a driver is improved. Furthermore, since the user can still specify other unrestricted parking locations in the road segment as parking locations, the use of traffic resources will be improved and the user's travel experience will be improved compared to avoiding parking over the entire road segment. Embodiments of the present disclosure will be described below in detail with reference to the accompanying drawings.
FIG. 1 illustrates a schematic diagram of an exemplary environment 100 in which embodiments of the present disclosure can be implemented. The environment 100 includes a computing device 110. Computing device 110 may contain at least a processor, memory, and other components typically found in a general purpose computer to implement computing, storage, communication, control, and the like functions. For example, the computing device 110 may be a smartphone, tablet computer, personal computer, desktop computer, notebook computer, server, mainframe, distributed computing system, and the like.
In the environment 100, the computing device 110 is configured to determine a specific restricted parking location in a road segment (alternatively referred to as a "target road segment"). In particular, the computing device 110 may perform order stop position adjustments for a plurality of positions of the target road segment, respectively. For example, the plurality of positions may be positions 120-1 to 120-N (hereinafter, collectively referred to as "positions 120", where N is an integer greater than 1). In 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 the desired stop position for the order.
FIG. 2 illustrates a schematic diagram of an example 200 of order stop position adjustment, according to some embodiments of the present disclosure. Fig. 2 shows a geographical area 210 in which a target road segment is located. In this geographic region 210, dark gray represents roads that can be traveled by vehicles, light gray represents buildings that cannot be traveled by vehicles, one rectangular box represents one location, and three rectangular boxes collectively represent a target road segment. As shown in FIG. 2, the desired stop location for the order is location 120-1. However, in order stop position adjustment for position 120-1, at least one other position of the plurality of positions (e.g., positions 120-2 and/or 120-3) is provided as an available stop position for the order. In this case, the vehicle is recommended to stop to another location in the target road segment. It should be appreciated that only locations 120-1 through 120-3 are shown in fig. 2 for clarity, and in fact, the target road segment may include any suitable number of locations.
Referring back to fig. 1, the order stop location adjustment will result in a change in the violation rate for the target road segment. For example, the violation rates may be violation rates 130-1 through 130-N (hereinafter collectively referred to as "violation rates 130" where N is an integer greater than 1) corresponding to the locations 120-1 through 120-N, respectively. If the violation rate 130 corresponding to the location 120 decreases after the order parking location adjustment is performed for the location 120, it means that the location 120 may be a restricted parking location with a violation risk.
In view of this, the computing device 110 may determine specific restricted parking locations, such as restricted parking locations 140-1 through 140-M (hereinafter collectively referred to as "restricted parking locations 140" where M is an integer greater than 1 and less than or equal to N) in the target road segment based on the violation rate 130. It should be understood that although FIG. 1 shows a plurality of restricted parking positions, the target road segment may have only one restricted parking position.
In this way, in the present solution, the restricted parking position in one road segment can be determined efficiently and accurately. The operation of the computing device 110 will be described in detail below in conjunction with fig. 2-4.
FIG. 3 illustrates a flow chart of a method 300 for determining a restricted parking location according to some embodiments of the present disclosure. The method 300 may be implemented by the computing device 110 as shown in FIG. 1. Alternatively, the method 300 may be implemented by subjects other than the computing device 110. It should be understood that method 300 may also include additional steps not shown and/or may omit steps shown, as the scope of the present disclosure is not limited in this respect.
At 310, the computing device 110 performs order stop position adjustments for the plurality of locations 120 of the target road segment, respectively. In 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 the desired stop position for the order. For example, taking location 120-1 as an example, in an order parking location adjustment for location 120-1, at least one other location of locations 120-2 through 120-N is provided as an available parking location for the order in place of the desired parking location 120-1 for the order.
As an example, when a user reserves a vehicle using a network appointment application, a desired parking location for an order may be determined according to a boarding or alighting location of the user. For example, since the location where the user placed the order is closer to location 120-1 in the road segment, location 120-1 may be determined to be the desired parking location for the order. In determining the specific limiting parking location in the road segment, at least one other location of the locations 120-2 through 120-N is provided as an available parking location for the order in place of the desired parking location 120-1 for the order. Thus, a vehicle that would otherwise be expected to park at location 120-1 would instead be recommended to park at the other location after the adjustment.
In some embodiments, the computing device 110 may also predetermine a plurality of locations 120 to perform order stop location adjustments. To this end, the computing device 110 may determine a road segment from the plurality of road segments that is restricted from docking as the target road segment. For example, the computing device 110 may determine the road segment with restricted parking that has a risk of violation based on historical violations, such as a historical violation rate or a historical number of violations for the road segment.
The computing device 110 may divide the target road segment into a plurality of sub-road segments. The target road segment may be divided in various suitable ways. For example, the computing device 110 may equally divide the target road segment into a plurality of sub-road segments based on the length of the target road segment. As another example, the computing device 110 may divide the target road segments based on the user's actual in/out situation. For example, the computing device 110 may divide the target road segments such that the number of times users are getting on/off the vehicle is the same for each sub-segment.
Further, the computing device 110 may determine a plurality of locations 120 from the plurality of sub-segments. For example, the computing device 110 may determine a location from each sub-segment. In this case, each location may represent a sub-segment.
In certain embodiments, the order stop location adjustment for each of the plurality of locations 120 comprises at least one individual adjustment. In each individual adjustment, one of the at least one other location is provided as an available parking location for the order in place of the desired parking location for the order. For example, in one individual adjustment to location 120-1, location 120-2 is provided as an available stop location for the order in place of the desired stop location 120-1 for the order. While in another individual adjustment to location 120-1, location 120-3 is provided as an available stop location for the order in place of the desired stop location 120-1 for the order.
Before performing each individual adjustment, the computing device 110 may also consider the acceptance of the individual adjustment by the user involved in the individual adjustment, and determine whether to perform the individual adjustment or a probability of performing the individual adjustment based on the acceptance. For example, individual adjustments may be performed with a lower probability for users with lower acceptance, and with a higher probability for users with higher acceptance. In this way, the impact of order stop position adjustment on the user's travel experience will be reduced as much as possible. Hereinafter, the action performed by the computing device 110 related to the individual adjustment will be described in detail with reference to fig. 4, and a description thereof will be omitted here.
At 320, the computing device 110 will determine a plurality of violation rates 130 associated with the target road segment during performance of the order parking location adjustment for the plurality of locations 120. For example, the violation rate 130-1 corresponding to location 120-1 may be a violation rate on the target road segment when the desired parking location 120-1 of the order is replaced with at least one other of the locations 120-2 through 120-N.
As described above, the order stop position adjustment will cause the violation rate of the target road segment to change. For example, after order stop location adjustments are performed for location 120-1, vehicles that would otherwise be 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 violation risk. In view of this, at 330, the computing device 110 determines one or more restricted parking locations 140 from the plurality of locations 120 based on the plurality of violation rates 130.
In some embodiments, the computing device 110 may compare the violation rate for the target road segment during performance of the order parking location adjustment to a plurality of violation rates for the target road segment during performance of the order parking location adjustment to determine the restricted parking location. In particular, the computing device 110 may obtain a reference violation rate associated with the target road segment during which no order parking position adjustments are performed. Further, the computing device 110 can compare the reference violation rate to the plurality of violation rates 130, respectively, and determine one or more locations from the plurality of locations 120 where the violation rate is below the reference violation rate as one or more restricted parking locations 140.
For example, assume 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 location 120-1 is lower than the reference violation rate. This means that after a vehicle that would otherwise be expected to stop at location 120-1 is recommended to stop at another location, the violation rate decreases, so that it can be determined that location 120-1 is a restricted stop location that presents a risk of violations.
Alternatively, in certain embodiments, the computing device 110 may compare the plurality of violation rates 130 and, based on the comparison, determine one or more restricted parking locations 140 from the plurality of 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 through 120-3 and determine the location 120-1 with the lowest violation rate 130 corresponding thereto as the restricted parking location.
In this way, in the present solution, the specific restricted parking position in one road segment can be determined efficiently and accurately. Therefore, the parking position appointed by the user can be prevented from being in the limited parking position, so that the influence on traffic management is reduced, and the user experience of a driver is improved. Furthermore, since the user can still specify other unrestricted parking locations in the road segment as parking locations, the use of traffic resources will be improved and the user's travel experience will be improved compared to avoiding parking over the entire road segment.
Fig. 4 illustrates a flow diagram of a method 400 for performing individual adjustments based on receptivity, according to some embodiments of the present disclosure. As described above, the order stop position adjustment for each of the plurality of positions 120 includes at least one individual adjustment. In each individual adjustment, one of the at least one other location is provided as an available parking location for the order in place of the desired parking location for the order. Prior to performing each individual adjustment, the computing device 110 may consider the user's acceptance of the individual adjustment by the user involved in the individual adjustment, and determine whether to perform the individual adjustment or a probability of performing the individual adjustment based on the acceptance.
Specifically, for each individual adjustment of each location, at 410, the computing device 110 may determine a user associated with the individual adjustment. For example, one individual adjustment may involve adjusting the desired parking position 120-1 to an available parking position 120-3 for an order placed by a particular user. In this case, the computing device 110 may determine that the particular user is involved in the individual adjustment.
At 420, the computing device 110 may determine the user's acceptance of the individual adjustment. In some embodiments, the computing device 110 may apply the features associated with the user to an acceptability determination model to determine acceptability. For example, the characteristics may include individual characteristics of the user itself. As another example, these characteristics may also include group characteristics of other users. This is because the preferences or tendencies of the population may also affect the preferences or tendencies of the individuals, and thus the user's acceptance can be determined more accurately and comprehensively by considering the characteristics of the population.
For example, the individual characteristics may include a number of times the user accepted historical individual adjustments, a rate at which the user accepted historical individual adjustments, and/or a historical number of times the user went up/down at the location. Similarly, the group characteristics may include the number of times the desired stop location of the order received historical individual adjustments for other users at that location, the rate at which other users received historical individual adjustments, and/or the historical number of times other users have entered/exited the location.
Furthermore, the receptiveness determination model may be deployed internal to computing device 110 or external to computing device 110, as the invention is not limited herein. The receptivity determination model can be a variety of suitable neural network models. For example, the receptiveness determination model may be a neural Network model that implements Reinforcement Learning (RL), such as a DQN (Deep Q Network) model, A3C (Asynchronous Advantage Actor Critic) model, or the like.
Reinforcement learning is one of the paradigms and methodologies of machine learning to describe and solve the problem of agents (agents) learning strategies to maximize returns or achieve specific goals during interactions with the environment. Reinforcement learning does not require any data to be given in advance, but rather obtains learning information and updates model parameters by receiving environmental rewards (feedback) for actions in a process of repeated iterations.
For example, in the case where the user rejects order stop position adjustment, the acceptability determination model may be updated based on the rejection behavior, so that the acceptability of the user output by the acceptability determination model decreases. Conversely, in the case where the user accepts the order stop position adjustment, the receptivity determination model may be updated based on the accepting behavior, so that the receptivity of the user output by the receptivity determination model is raised. In this way, the scheme can automatically and efficiently determine the acceptance of the user for the adjustment of the order parking position based on the historical behaviors of the user by using the acceptance determination model.
At 430, the computing device 110 may perform individual adjustments based on the receptivity. In some embodiments, the computing device 110 may determine a probability of performing the individual adjustment to the user based on the acceptance. For example, if the user's acceptance is high, the computing device 110 may perform the individual adjustment with a higher probability (such as 90%). However, if the user's acceptance is low, the computing device 110 may perform this individual adjustment with a lower probability (such as 30%).
In this way, in the present scheme, it can be decided whether to perform individual order parking position adjustment each time according to the user acceptance. Thus, specific restricted parking positions in a road segment can be determined by order parking position adjustment without affecting the user experience.
FIG. 5 illustrates a block diagram of an apparatus 500 for determining a restricted parking position according to some embodiments of the present disclosure. For example, the apparatus 500 may be disposed in the computing device 110. As shown in fig. 5, the apparatus 500 includes an adjustment module 510 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 520 configured to determine a plurality of violation rates associated with the target road segment during performance of the order parking location adjustment for the plurality of locations; and a second determining module 530 configured to determine one or more restricted parking locations from the plurality of locations based on the plurality of violation rates.
In some embodiments, the order stop position adjustments for each position include at least one individual adjustment in which one other position 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 510 includes: for each individual adjustment of each position: a user determination module configured to determine a user associated with the individual adjustment; a user acceptance determination module configured to determine a user's acceptance of the individual adjustments; and an individual adjustment module configured to perform individual adjustment based on the acceptance.
In some embodiments, 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 an acceptance.
In some embodiments, the features include at least one of: the number of times that the user accepts the historical individual adjustments, the rate at which the user accepts the historical individual adjustments, the historical number of times that the user gets on/off the bus at the location, the number of times that other users whose expected stop location of the order is the location accept the historical individual adjustments, the rate at which other users accept the historical individual adjustments, and the historical number of times that other users get on/off the bus at the location.
In some embodiments, the second determining module 530 includes: an acquisition module configured to acquire a reference violation rate associated with the target road segment during which no order stop position adjustment is performed; a first comparison module configured to compare the reference violation rate with a plurality of violation rates, respectively; and a first restricted parking location determination module configured to determine one or more locations, from among the plurality of locations, for which the violation rate is lower than the reference violation rate, as one or more restricted parking locations.
In some embodiments, the second determining module 530 includes: a second comparison module configured to compare the plurality of violation rates; and a second restricted parking position determination module configured to determine one or more restricted parking positions from the plurality of positions based on a result of the comparison.
In some embodiments, the apparatus 500 further comprises: a link determination module configured to determine a link restricted from parking as a target link from among a plurality of links; 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 a plurality of locations from the plurality of sub-segments.
FIG. 6 illustrates a schematic block diagram of an electronic device 600 that may be used to implement embodiments of the present disclosure. Device 600 may be used to implement apparatus 500 of fig. 5. As shown, device 600 includes a Central Processing Unit (CPU)601 that may perform various appropriate actions and processes in accordance with 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. In the RAM 603, various programs and data required for the operation of the device 600 can also be stored. The CPU 601, ROM 602, and RAM 603 are connected to each other via a bus 604. An input/output (I/O) interface 605 is also connected to bus 604.
A number of components in the device 600 are connected to the I/O interface 605, including: an input unit 606 such as a keyboard, a mouse, or the like; an output unit 607 such as various types of displays, speakers, and the like; a storage unit 608, such as a magnetic disk, optical disk, or the like; and a communication unit 609 such as a network card, modem, wireless communication transceiver, etc. The communication unit 609 allows the device 600 to exchange information/data with other devices via a computer network such as the internet and/or various telecommunication networks.
Various processes and processes described above, such as methods 300 and/or 400, may be performed by processing unit 601. For example, in some embodiments, methods 300 and/or 400 may be implemented as a computer software program tangibly embodied in 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 onto 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, CPU 601 may be configured to perform methods 300 and/or 400 by any other suitable means (e.g., by way of firmware).
The present disclosure may be methods, apparatus, systems, and/or computer program products. The computer program product may include a computer-readable storage medium having computer-readable program instructions embodied thereon for carrying out various aspects of the present disclosure.
The computer readable storage medium may be a tangible device that can hold and store the instructions for use by the instruction execution device. The computer readable storage medium may be, for example, but not limited to, an electronic memory device, a magnetic memory device, an optical memory device, an electromagnetic memory device, a semiconductor memory device, or any suitable combination of the foregoing. More specific examples (a non-exhaustive list) of the computer readable storage medium would include the following: a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), a Static Random Access Memory (SRAM), a portable compact disc read-only memory (CD-ROM), a Digital Versatile Disc (DVD), a memory stick, a floppy disk, a mechanical coding device, such as punch cards or in-groove projection structures having instructions stored thereon, and any suitable combination of the foregoing. Computer-readable storage media as used herein is not to be construed as transitory signals per se, such as radio waves or other freely propagating electromagnetic waves, electromagnetic waves propagating through a waveguide or other transmission medium (e.g., optical pulses through a fiber optic cable), or electrical signals transmitted through electrical wires.
The computer-readable program instructions described herein may be downloaded from a computer-readable storage medium to a respective computing/processing device, or to an external computer or external storage device via 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. The network adapter card or 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 the respective computing/processing device.
The computer program instructions for carrying out operations of the present disclosure may be assembler instructions, Instruction Set Architecture (ISA) instructions, machine-related instructions, microcode, firmware instructions, state setting data, or source or object code written in any combination of one or more programming languages, including an object oriented programming language such as Smalltalk, C + + or the like and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The 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. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider). In some embodiments, the electronic circuitry that can execute the computer-readable program instructions implements aspects of the present disclosure by utilizing the state information of the computer-readable program instructions to personalize the electronic circuitry, such as a programmable logic circuit, a Field Programmable Gate Array (FPGA), or a Programmable Logic Array (PLA).
Various aspects of the present disclosure are described herein with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the disclosure. It will be understood that each block of the flowchart illustrations and/or block diagrams, and combinations of blocks in the flowchart illustrations 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 the instructions, which execute via the processing unit of the computer or other programmable data processing apparatus, create means for implementing the functions/acts specified in the flowchart and/or block diagram block or blocks. These computer-readable program instructions may also be stored in a computer-readable storage medium that can direct a computer, programmable data processing apparatus, and/or other devices to function in a particular manner, such that the computer-readable medium storing the instructions comprises an article of manufacture including instructions which implement the function/act specified in the flowchart and/or block diagram block or blocks.
The computer readable program instructions may also be loaded onto a computer, other programmable data processing apparatus, or other devices to cause a series of operational steps to be performed on the computer, other programmable apparatus or other devices to produce a computer implemented process such that the instructions which execute on the computer, other programmable apparatus or other devices implement the functions/acts specified in the flowchart and/or block diagram block or blocks.
The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present disclosure. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of instructions, which comprises one or more executable instructions for implementing the specified logical function(s). In some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams and/or flowchart illustration, and combinations of blocks in the block diagrams and/or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.
The foregoing description of the embodiments of the present disclosure has been presented for purposes of illustration and description, and is not intended to be exhaustive or limited to the embodiments disclosed. Many modifications and variations 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 in order to best explain the principles of the embodiments, the practical application, or improvements made to the technology in the marketplace, or to enable others of ordinary skill in the art to understand the embodiments disclosed herein.
The embodiment of the application discloses a TS1 and a method for determining a limited parking position, which comprises the following steps: 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 associated with the target road segment during performance of the order parking location adjustments for the plurality of locations; and determining one or more restricted parking locations from the plurality of locations based on the plurality of violation rates.
TS2, the method of TS1, wherein the order stop position adjustments for each of the positions include 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 adjustments for the plurality of positions, respectively, includes: 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.
TS3, the method of TS2, wherein determining the receptivity comprises: applying features associated with the user to an acceptability determination model to determine the acceptability.
TS4, the method according to TS3, wherein the features include at least one of: the number of times the user accepts historical individual adjustments, the rate at which the user accepts historical individual adjustments, the historical number of times the user has been entering/exiting the location, the expected stop location of the order is the number of times other users at the location have accepted historical individual adjustments, the rate at which other users have accepted historical individual adjustments, and the historical number of times other users have entered/exited the location.
TS5, the method of TS1, wherein determining the one or more restricted parking positions includes: 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.
TS6, the method of TS1, wherein determining the one or more restricted parking positions includes: 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.
TS7, the method of TS1, 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.
TS8, 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 associated with the target road segment during performance of the order parking location adjustment for the plurality of locations; and a second determination module configured to determine one or more restricted parking locations from the plurality of locations based on the plurality of violation rates.
TS9, the apparatus of TS8, wherein the order stop location adjustments for each location include at least one individual adjustment in which one of the at least one other location is provided as an available stop location for the order in place of a desired stop location 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.
TS10, the apparatus of TS9, wherein the user acceptance determination module includes: an acceptance determination module configured to apply a feature associated with the user to an acceptance determination model to determine the acceptance.
TS11, the apparatus according to TS10, wherein the features comprise at least one of: the number of times the user accepts historical individual adjustments, the rate at which the user accepts historical individual adjustments, the historical number of times the user has been entering/exiting the location, the expected stop location of the order is the number of times other users at the location have accepted historical individual adjustments, the rate at which other users have accepted historical individual adjustments, and the historical number of times other users have entered/exited the location.
TS12, the device of TS8, wherein the second determining module includes: 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.
TS13, the device of TS8, wherein the second determining module includes: 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.
TS14, the apparatus according to TS8, wherein the apparatus further comprises: a road segment determination module configured to determine a road segment restricted from parking 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.
TS15, 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 according to any of TS 1-7.
TS16, a computer readable storage medium having stored thereon a computer program which, when executed by a processor, carries out the method according to any one of TS 1-7.
TS17, a computer program product comprising a computer program, characterized in that the computer program, when being executed by a processor, carries out the method according to any one of TS 1-7.
Claims (10)
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 associated with the target road segment during performance of the order parking location adjustments for the plurality of locations; and
one or more restricted parking locations are determined from the plurality of locations based on the plurality of violation rates.
2. The method of claim 1, wherein the order stop position adjustments for each of the positions include 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 adjustments for the plurality of positions, respectively, 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 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.
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. 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 associated with the target road segment during performance of the order parking location adjustment for the plurality of locations; and
a second determination module configured to determine one or more restricted parking locations from the plurality of locations based on the plurality of violation rates.
8. 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 1-6.
9. 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 1-6.
10. A computer program product comprising a computer program, characterized in that the computer program realizes the method according to any of claims 1-6 when executed by a processor.
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| CN202110003661.XA CN112652192A (en) | 2021-01-04 | 2021-01-04 | Method, apparatus, device, medium and program product for determining a restricted parking position |
| CN202211458056.2A CN115798253A (en) | 2021-01-04 | 2021-01-04 | Method, apparatus, device, medium for determining a restricted parking position |
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| CN202110003661.XA CN112652192A (en) | 2021-01-04 | 2021-01-04 | Method, apparatus, device, medium and program product for determining a restricted parking position |
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| CN202211458056.2A Division CN115798253A (en) | 2021-01-04 | 2021-01-04 | Method, apparatus, device, medium for determining a restricted parking position |
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| CN202211458056.2A Pending CN115798253A (en) | 2021-01-04 | 2021-01-04 | Method, apparatus, device, medium for determining a restricted parking position |
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