CN111179578A - Method and system for determining parking place limitation - Google Patents
Method and system for determining parking place limitation Download PDFInfo
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- CN111179578A CN111179578A CN201811333384.3A CN201811333384A CN111179578A CN 111179578 A CN111179578 A CN 111179578A CN 201811333384 A CN201811333384 A CN 201811333384A CN 111179578 A CN111179578 A CN 111179578A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
- G08G1/205—Indicating the location of the monitored vehicles as destination, e.g. accidents, stolen, rental
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/20—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles
- G08G1/207—Monitoring the location of vehicles belonging to a group, e.g. fleet of vehicles, countable or determined number of vehicles with respect to certain areas, e.g. forbidden or allowed areas with possible alerting when inside or outside boundaries
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Abstract
The application discloses a method and a system for determining a parking limit place. The method comprises the following steps: acquiring the penalty information of the vehicle; extracting illegal parking place information from the illegal parking penalty information; and determining a parking limit place according to the illegal parking place information.
Description
Technical Field
The application relates to the field of transportation, in particular to a method and a system for determining a parking limit place.
Background
With the increasing travel demand of people, online taxi appointment becomes a more and more popular travel mode for many people. In some cases, the boarding place selected by the passenger may be a parking forbidding place or a temporary parking place, and the driver is likely to be penalized by the parking forbidding or the temporary parking for a certain time, so that the driving receiving experience and the income of the driver are influenced. Therefore, it is desirable to provide a method and system for determining a parking limit location to remind a user of the parking limit location to reduce the risk of parking violation.
Disclosure of Invention
The application provides a method and a system for determining parking-restricted places, which are used for determining the parking-restricted places according to penalty information, wherein the parking-restricted places comprise places where parking is forbidden and/or places where parking is temporary, so that a user can be prompted, and the risk of parking violation of the user is reduced.
One aspect of the present application provides a method of determining a restricted parking spot. The method comprises the following steps: acquiring the penalty information of the vehicle; extracting illegal parking place information from the illegal parking penalty information; and determining a parking limit place according to the illegal parking place information.
In some embodiments, the method further comprises: acquiring a running track of the vehicle; and determining a parking limit place according to the information of the parking violation place and the running track of the vehicle.
In some embodiments, the method further comprises: acquiring a traffic sign image in an area range at a certain distance from the parking violation place; and determining a parking limit place according to the information of the parking limit place and the traffic sign image.
In some embodiments, the method further comprises: and acquiring map data, matching the illegal parking place information with the road link data, and determining a parking limit place according to a matching result.
Another aspect of the present application provides a system for determining a restricted parking spot. The system comprises: the acquisition module is used for acquiring the illegal parking penalty information of the vehicle; the information extraction module is used for extracting illegal parking place information from the illegal parking punishment information; and the parking limit place determining module is used for determining a parking limit place at least according to the information of the illegal parking place.
Another aspect of the present application provides an apparatus for determining restricted parking spots, comprising at least one storage medium for storing computer instructions and at least one processor; the at least one processor is configured to execute the computer instructions to implement the method of determining a restricted parking spot as previously described.
Another aspect of the present application provides a storage medium storing computer instructions which, when executed by a processor, implement the method of determining a restricted parking spot as described above.
Drawings
FIG. 1 is a schematic diagram of a restricted parking spot determination system according to some embodiments of the present application;
FIG. 2 is an exemplary flow chart illustrating a method of determining a restricted parking spot according to some embodiments of the present application;
FIG. 3 is a block diagram of a restricted parking spot determination system according to some embodiments of the present application;
FIG. 4 is an exemplary flow chart illustrating a method for determining a restricted parking spot based on penalty information and a vehicle travel path in accordance with some embodiments of the present application;
FIG. 5 is an exemplary flow chart illustrating a method for determining restricted parking spots based on penalty information and traffic sign information according to some embodiments of the present application;
FIG. 6 is a schematic illustration of a distribution of the number of penalty times heatdensities according to some embodiments of the present application; and
FIG. 7 is a graphical representation of the results of determining a restricted stopping point according to some embodiments of the present application.
Detailed Description
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below. It is obvious that the drawings in the following description are only examples or embodiments of the application, from which the application can also be applied to other similar scenarios without inventive effort for a person skilled in the art. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.
As used in this application and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.
Although various references are made herein to certain modules or units in a system according to embodiments of the present application, any number of different modules or units may be used and run on a client and/or server. The modules are merely illustrative and different aspects of the systems and methods may use different modules.
Flow charts are used herein to illustrate operations performed by systems according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to the processes, or a certain step or several steps of operations may be removed from the processes.
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings used in the description of the embodiments will be briefly introduced below. It is obvious that the drawings in the following description are only examples or embodiments of the application, from which the application can also be applied to other similar scenarios without inventive effort for a person skilled in the art. Unless otherwise apparent from the context, or otherwise indicated, like reference numbers in the figures refer to the same structure or operation.
It should be understood that "system", "device", "unit" and/or "module" as used herein is a method for distinguishing different components, elements, parts, portions or assemblies at different levels. However, other words may be substituted by other expressions if they accomplish the same purpose.
As used in this application and the appended claims, the terms "a," "an," "the," and/or "the" are not intended to be inclusive in the singular, but rather are intended to be inclusive in the plural unless the context clearly dictates otherwise. In general, the terms "comprises" and "comprising" merely indicate that steps and elements are included which are explicitly identified, that the steps and elements do not form an exclusive list, and that a method or apparatus may include other steps or elements.
Flow charts are used herein to illustrate operations performed by systems according to embodiments of the present application. It should be understood that the preceding or following operations are not necessarily performed in the exact order in which they are performed. Rather, various steps may be processed in reverse order or simultaneously. Meanwhile, other operations may be added to the processes, or a certain step or several steps of operations may be removed from the processes.
Embodiments of the present application may be applied to different traffic service systems, including but not limited to one or a combination of land, surface, aviation, aerospace, and the like. Such as a human powered vehicle, a vehicle, an automobile (e.g., a small car, a bus, a large transportation vehicle, etc.), rail transportation (e.g., a train, a bullet train, a high-speed rail, a subway, etc.), a boat, an airplane, an airship, a satellite, a hot air balloon, an unmanned vehicle, etc. The application scenarios of the different embodiments of the present application include but are not limited to one or a combination of several of transportation industry, warehouse logistics industry, agricultural operation system, urban public transportation system, commercial operation vehicle, etc. It should be understood that the application scenarios of the system and method of the present application are merely examples or embodiments of the present application, and those skilled in the art can also apply the present application to other similar scenarios without inventive effort based on these drawings. Such as other similar tracked vehicles.
Fig. 1 is a schematic diagram illustrating an application scenario of a restricted parking spot determination system 100 according to some embodiments of the present application. The restricted parking place determination system 100 can determine a restricted parking place, remind a user, and reduce the risk of the user's parking violation. The restricted parking spot determination system 100 may be an online service platform for internet services. For example, the restricted parking spot determination system 100 may be an online transportation service platform for a transportation service. In some embodiments, the restricted parking spot determination system 100 may be applied to network appointment services, such as taxi calls, express calls, special calls, mini-bus calls, carpools, bus services, driver employment and pickup services, and the like. In some embodiments, the restricted parking spot determination system 100 may also be used for courier, take-away, and the like. The restricted parking spot determination system 100 may include a server 110, a network 120, a service requester terminal 130, a service provider terminal 140, a storage device 150, an information source 160, and a navigation system 170. The server 110 may include a processing engine 112.
In some embodiments, the server 110 may be a single server or a group of servers. The server farm can be centralized or distributed (e.g., server 110 can be a distributed system). In some embodiments, the server 110 may be local or remote. For example, server 110 may access information and/or data stored in storage device 150, service requester terminal 130, service provider terminal 140, and/or information source 160 through network 120. As another example, server 110 may be directly connected to storage device 150, service requester terminal 130, service provider terminal 140, and/or information source 160 to access stored information and/or data. In some embodiments, the server 110 may obtain the penalty information from the storage device 150, the service requester terminal 130, the service provider terminal 140, and/or the information source 160. In some embodiments, the server 110 may be implemented on a cloud platform. By way of example only, the cloud platform may include a private cloud, a public cloud, a hybrid cloud, a community cloud, a distributed cloud, between clouds, multiple clouds, the like, or any combination of the above. In some embodiments, processing engine 112 may process data and/or information related to restricting parking locations to perform one or more of the functions described herein. For example, the processing device 112 may determine a parking restriction location based on the penalty information.
In some embodiments, the user of the service requester terminal 130 may be the service requester himself. In some embodiments, the user of the service requester terminal 130 may be a person other than the service requester. For example, in the network car booking service, the user of the service requester terminal 130 may be the vehicle occupant himself or a person who places an order with the vehicle occupant, such as a relative or a friend of the vehicle occupant.
In some embodiments, the user of the service provider terminal 140 may be the service provider himself. In some embodiments, the user of service provider terminal 140 may be a person other than the service provider. For example, in the network appointment service, the user of the service provider terminal 140 may be the driver himself or herself, or a person who helps the driver to take an order.
In some embodiments, the service requester terminal 130 may include, but is not limited to, a desktop computer 130-1, a laptop computer 130-2, an in-vehicle built-in device 130-3, a mobile device 130-4, and the like or any combination thereof. In some embodiments, the on-board built-in device 130-3 may include, but is not limited to, an on-board computer, an on-board heads-up display (HUD), an on-board automatic diagnostic system (OBD), or the like, or any combination thereof. In some embodiments, mobile device 130-4 may include, but is not limited to, a smartphone, a Personal Digital Assistant (PDA), a tablet, a palmtop, smart glasses, a smart watch, a wearable device, a virtual display device, a display enhancement device, and the like, or any combination thereof. In some embodiments, the service requester terminal 130 may send the transport service requirements to the server 110 for processing. In some embodiments, the service requester terminal 130 may be a device with location technology to determine the location of the service requester and/or the service requester terminal 130 and send to one or more devices in the restricted parking spot determination system 100, such as the server 110.
In some embodiments, the service provider terminal 140 may be a similar or identical device as the service requestor terminal 130. In some embodiments, the service provider terminal 140 may be a device with location technology to determine the location of the service provider and/or the service provider terminal 140. In some embodiments, the service requester terminal 130 and/or the service provider terminal 140 may communicate with other locating devices to determine the location of the service requester, service requester terminal 130, service provider, or service provider terminal 140. In some embodiments, the service requester terminal 130 and/or the service provider terminal 140 may send the location information to the server 110. In some embodiments, taking a network appointment as an example, the service provider terminal 140 may obtain penalty information for the vehicle and upload the penalty information to the server 110.
The navigation system 170 may determine location information associated with the target or user terminal, such as location information of one or more service requester terminals 130, location information of one or more service provider terminals 140, and the like. In some embodiments, the navigation system 170 may be a Global Positioning System (GPS), a global navigation satellite system (GLONASS), a COMPASS navigation system (COMPASS), a beidou navigation satellite system, a galileo positioning system, a quasi-zenith satellite system (QZSS), or the like. The information may include a position, altitude, velocity, acceleration, or current time of the object. The navigation system 170 may include one or more satellites, such as satellite 170-1, satellite 170-2, and satellite 170-3. The satellites 170-1 to 170-3 may independently or collectively determine the above information. The satellite navigation system 170 may transmit the above information to the network 120, the service requester terminal 130 or the service provider terminal 140 through a wireless connection.
To implement the various modules, units and their functionality described in this application, a computing device or mobile device may serve as a hardware platform for one or more of the components described in this application. The hardware elements, operating systems, and programming languages of these computers or mobile devices are conventional in nature, and those skilled in the art will be familiar with these techniques to adapt them to the on-demand service system described herein. A computer with user interface elements may be used to implement a Personal Computer (PC) or other type of workstation or terminal device, and if suitably programmed, may also act as a server.
FIG. 2 is an exemplary flow chart illustrating a method of determining a restricted parking spot according to some embodiments of the present application. In particular, the method 400 of determining a restricted parking spot may be implemented by the server 110.
In some embodiments, the server 110 may obtain the penalty information from devices internal to the restricted parking spot determination system 100 (e.g., storage device 150, information source 160) or other external devices. In some embodiments, the server 110 can obtain the penalty information from at least two storage devices and perform a deduplication operation on all the penalty information. Specifically, the server 110 may compare the pieces of illegal parking penalty information, and if at least two pieces of illegal parking penalty information are consistent, the at least two pieces of illegal parking penalty information are considered to be repeated, and only one of the pieces of illegal parking penalty information may be selected by the server 110. The consistency of the illegal parking penalty information can be realized by the consistency of all information in the illegal parking penalty information or the consistency of partial information, for example, the consistency of illegal parking vehicles and illegal parking time, or the consistency of illegal parking vehicles, illegal parking places and illegal parking time. In some embodiments, the server 110 may obtain various types of traffic violation penalty information and filter the violation penalty information therefrom. In some embodiments, the server 110 may obtain violation penalty information by obtaining violation penalty information pushed by the traffic administration, issued violation notice information (e.g., notice information about prohibition of parking on xx road segments), posted tickets, and/or driver-provided violation penalty information. In some embodiments, the server 110 can obtain penalty data for a past period of time (e.g., 1 year, half year, 3 months, 1 month, 1 week, etc.). In some embodiments, the server 110 may periodically update the violation penalty data.
In some embodiments, the parking-restricted places restrict parking only for a specific time period, and the server 110 may extract the parking-violation time information from the parking-violation penalty information and determine when the parking-restricted places restrict parking according to the parking-violation time information.
FIG. 3 is a block diagram of a restricted parking spot determination system according to some embodiments of the present application. As shown in fig. 3, the restricted parking place determination system 300 may include an acquisition module 310, an information extraction module 320, and a restricted parking place determination module 330. In some embodiments, the restricted parking spot determination system 300 may be included in the server 110.
The acquisition module 310 may acquire information. In some embodiments, the acquisition module 310 may acquire the penalty information. In some embodiments, the penalty information may include a textual description. The illegal parking penalty information includes, but is not limited to, illegal parking vehicles, illegal parking places, illegal parking time, illegal parking reason, penalty units, and the like. In some embodiments, the acquisition module 310 may acquire a driving trajectory of the vehicle. In some embodiments, the acquisition module 310 may acquire traffic sign images. In some embodiments, the acquisition module 310 may acquire map data.
The information extraction module 320 may extract information. In some embodiments, the information extraction module 320 may extract the violation location information and/or the violation time information from the violation penalty information.
The restricted parking place determination module 330 may determine the restricted parking place. The restricted parking place determination module 330 determines a restricted parking place at least according to the illegal parking place information. In some embodiments, the parking-restricted location determination module 330 may determine the parking-restricted location according to the extracted parking-violation location information and the driving track of the vehicle. In some embodiments, the restricted parking location determination module 330 may determine the restricted parking location based on the point of violation and the traffic sign information. In some embodiments, the restricted parking place determination module 330 may determine when the restricted parking place restricts parking based on the violation time information in the violation penalty information.
It should be understood that the system and its modules shown in FIG. 3 may be implemented in a variety of ways. For example, in some embodiments, the system and its modules may be implemented in hardware, software, or a combination of software and hardware. Wherein the hardware portion may be implemented using dedicated logic; the software portions may be stored in a memory for execution by a suitable instruction execution system, such as a microprocessor or specially designed hardware. Those skilled in the art will appreciate that the methods and systems described above may be implemented using computer executable instructions and/or embodied in processor control code, such code being provided, for example, on a carrier medium such as a diskette, CD-or DVD-ROM, a programmable memory such as read-only memory (firmware), or a data carrier such as an optical or electronic signal carrier. The system and its modules of the present application may be implemented not only by hardware circuits such as very large scale integrated circuits or gate arrays, semiconductors such as logic chips, transistors, or programmable hardware devices such as field programmable gate arrays, programmable logic devices, etc., but also by software executed by various types of processors, for example, or by a combination of the above hardware circuits and software (e.g., firmware).
It should be noted that the above description of the restricted parking place determination system and its modules is merely for convenience of description and does not limit the present application to the scope of the illustrated embodiments. It will be appreciated by those skilled in the art that, given the teachings of the present system, any combination of modules or sub-system configurations may be used to connect to other modules without departing from such teachings. For example, in some embodiments, the acquisition module 310, the information extraction module 320, and the parking limit location determination module 330 disclosed in fig. 3 may be different modules in a system, or may be a module that implements the functions of two or more of the above modules, for example. For example, the information extraction module 320 and the parking limit determination module 330 may be two modules, or one module may have both the information extraction and analysis functions. For example, each module may share one memory module, and each module may have its own memory module. Such variations are within the scope of the present application.
FIG. 4 is an exemplary flow chart illustrating a method for determining a restricted parking spot based on penalty information and a vehicle travel path according to some embodiments of the present application. In some embodiments, the method 400 of determining a restricted parking spot may be performed by the server 110.
In some embodiments, the vehicle travel trajectory is a vehicle order trajectory. The vehicle order trajectory, which may reflect the location of the vehicle at various stages of the vehicle order, may be recorded and uploaded by service provider terminal 140 to server 110 or storage device 150. The stages of the order for the vehicle include, but are not limited to, the driver driving to the boarding location, the passenger driving to the boarding location, the driver waiting for the passenger to board, the passenger waiting for the driver to pick up at the boarding location, the driver arriving at the destination after the passenger arrives, the driver getting off the passenger after the passenger arrives at the destination, etc. In some embodiments, the vehicle travel trajectory is a non-vehicle order trajectory, i.e., a travel trajectory of the vehicle in a driver-out-of-order state. In some embodiments, the service provider terminal 140 may obtain the vehicle travel trajectory and send it to the server 110 via the network 120. In some embodiments, the service provider terminal 140 may obtain the vehicle travel track and send it to the storage device 150 via the network 120, and the server 110 may read the vehicle travel track from the storage device 150.
And step 403, determining a parking place of the vehicle in the driving process according to the driving track. In some embodiments, if the distance between a plurality of consecutive track points in the driving track is smaller than a set threshold value, the positions of the plurality of consecutive track points may be determined as the parking place. In some embodiments, if the distance between the track points corresponding to several adjacent moments in the driving track is smaller than a set threshold, the positions of the track points can be determined as the parking places. For a vehicle order track, the parking location can be determined based on the track point of the time when the driver arrives at the boarding point to wait for the passengers to board. In some embodiments, each track point further includes time information, and the parking time of the vehicle can be determined from the time information used to determine the track point of the parking spot.
And 405, matching the information of the parking violation places with the parking places, and determining parking limit places according to matching results. In some embodiments, if the accuracy of the text description of the parking violation locations in the penalty information is high (for example, accurate to a certain number of a house on a certain road), the accuracy of the parking violation locations determined according to the text description is also high, the distance between the parking violation locations and the parking locations can be determined, and if the distance between the parking violation locations and the parking locations is smaller than a set threshold, the matching is successful, and the parking violation locations and/or the parking locations are determined as the parking-limiting locations. In some embodiments, if the accuracy of the text description of the parking violation locations in the penalty information is low (e.g., only accurate to a certain road), the accuracy of the parking violation locations determined according to the text description is also low, and it can be determined whether the parking location is within the range of the parking violation locations, and if so, the matching is successful, and the parking violation locations and/or the parking locations are determined as the parking restriction locations.
In some embodiments, the parking violation time and the parking time may also be matched to determine whether the vehicle was parked at the violation time. For example, it may be determined whether the difference between the violation time and the parking time is less than a set threshold, and if the difference between the two is less than the set threshold, indicating that the vehicle is actually parked at the violation location at the violation time, the matching is successful, and the violation location and/or the parking location is determined as the parking restriction location. In some embodiments, if the matching of the parking time and the violation time is successful, it may also be determined when the parking is restricted for the restricted parking spot based on the parking time and/or the violation time.
In some embodiments, the server 110 may also determine the parking restriction location according to the traffic information. During traffic rush hours, a certain location does not originally belong to a restricted parking place, but if a large number of vehicles are gathered in the order, road congestion may be caused. For example, during off-duty peak periods with high traffic, a large number of off-duty people choose to get on at the same location, and the gathering of the driven vehicles at that location can lead to traffic congestion. In some embodiments, the server 110 may obtain the traffic information, and if the density of the vehicles gathered at a certain location on the road with a large traffic flow exceeds a certain density threshold, the location may be temporarily determined as the parking restriction location.
FIG. 5 is an exemplary flow chart illustrating a method for determining a restricted parking spot based on the penalty information and traffic sign information according to some embodiments of the present application.
And step 503, determining a parking limit place according to the information of the illegal parking place and the traffic sign information. In some embodiments, the server 110 may analyze the meaning of the traffic sign information in an area range at a certain distance from the parking-violation location, and if there is a traffic sign indicating parking restriction, may determine that the parking-violation location and/or the area range at a certain distance from the parking-violation location (e.g., a street, a road intersection, etc.) is a parking-restriction location. In some embodiments, the traffic signs indicating restricted parking may also include specific times (e.g., 7:00 to 18:00 points per day) at which parking is restricted. Traffic signs that restrict parking include, but are not limited to, yellow lines on the roadside or curb, yellow grid lines on the road surface, flow guide lines on the road surface, traffic warning signs that prohibit the vehicle from parking temporarily or for a long time, traffic warning signs that prohibit the vehicle from parking for a long time (only temporary parking is possible), and the like.
FIG. 6 is a schematic illustration of a distribution of the number of penalty times heatings according to some embodiments of the present application.
In some embodiments, the server 110 can obtain the number of times the penalty is violated at a particular location, and determine the risk level of violated penalty at the location according to the number of times. In some embodiments, the server 110 may obtain a plurality of pieces of illegal parking penalty information, extract illegal parking location information from each piece of illegal parking penalty information, determine a parking restricted location according to the illegal parking location information, and count the number of illegal parking penalties occurring at the same parking restricted location. A greater number of times indicates a greater risk of being penalized at the site.
In some embodiments, a plurality of illegal parking penalty number intervals can be divided, the number of parking-restricted places involved in each interval is determined, and the distribution situation of the parking-restricted places involved in different illegal parking penalty number intervals is obtained, so that the illegal parking penalty number threshold is determined. At parking places with restrictions where the number of penalty penalties exceeds the threshold, the risk of penalty penalties is greater, whereas at parking places with restrictions where the number of penalty penalties does not exceed the threshold, the risk of penalty penalties is smaller.
FIG. 6 shows the popularity distribution of penalty times for Beijing. As shown in fig. 6, the abscissa is an interval of the number of penalty times, and the ordinate is a proportion of the parking-restricted places related to each interval of the number of penalty times to all the parking-restricted places. The total number of the penalty times is 6, and the penalty times are respectively 1-2 times, 3-5 times, 6-10 times, 11-50 times, 51-100 times and more than 100 times. The proportion of the parking limit places related to each interval of the penalty times is different. According to the occupation situation, the threshold value of the number of penalty times can be determined to be 5. In the parking point limiting place with the penalty number exceeding 5, the risk of the penalty is larger; in the parking point limiting place where the number of the penalty times does not exceed 5, the risk of the penalty is smaller.
In some embodiments, the server 110 may also obtain the number of penalty penalties at the same location during a particular time period and the number of orders passing through the location during the time period, and determine the risk level of penalty penalties at the location during the particular time period. Some restricted parking spots restrict parking only during certain periods of time (e.g., 7:00-18:00 a day) or only during special situations (e.g., morning and evening peak congestion, etc.), and thus the risk of penalty violations at different periods of the day is different for the same spot. In some embodiments, 24 hours a day may be divided into multiple time periods, and the number of penalty violations at the same location in different time periods and the number of orders related to the location in the time periods may be obtained. The order relating to the location may be an order that originates at the location, a destination, a route, etc. The risk of penalty violating at the location during each time period can be determined based on the ratio of the number of times the penalty violating at the location occurs to the number of orders related to the location during the time period, wherein the greater the ratio, the greater the risk. In some embodiments, the time period exceeding a certain percentage threshold may be determined as the time period at the location at which the risk of penalty is greater.
FIG. 7 is a graphical representation of the results of determining a restricted stopping point according to some embodiments of the present application. In some embodiments, the data of the restricted parking spots determined in the above embodiments may be mapped to map data, stored or displayed on a graphical interface, and the dark gray circle represents one restricted parking spot. In some embodiments, the determined longitude and latitude data of the restricted parking spot may be stored in association with its corresponding parkable attribute (e.g., a prohibited parking spot, a temporary parking spot, an unparked time interval, and/or a risk of penalty parking).
The beneficial effects that may be brought by the embodiments of the present application include, but are not limited to: (1) determining a parking limit place according to the information of the illegal parking; (2) reminding passengers and drivers to pay attention to the parking place limitation, and reducing the illegal parking risk of the users; (3) the travel experience of passengers and the driving receiving experience of a driver are improved; (4) the overall yield of the platform is improved. It is to be noted that different embodiments may produce different advantages, and in different embodiments, any one or combination of the above advantages may be produced, or any other advantages may be obtained.
Having thus described the basic concept, it will be apparent to those skilled in the art that the foregoing detailed disclosure is to be considered merely illustrative and not restrictive of the broad application. Various modifications, improvements and adaptations to the present application may occur to those skilled in the art, although not explicitly described herein. Such modifications, improvements and adaptations are proposed in the present application and thus fall within the spirit and scope of the exemplary embodiments of the present application.
Also, this application uses specific language to describe embodiments of the application. Reference throughout this specification to "one embodiment," "an embodiment," and/or "some embodiments" means that a particular feature, structure, or characteristic described in connection with at least one embodiment of the present application is included in at least one embodiment of the present application. Therefore, it is emphasized and should be appreciated that two or more references to "an embodiment" or "one embodiment" or "an alternative embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, some features, structures, or characteristics of one or more embodiments of the present application may be combined as appropriate.
Moreover, those skilled in the art will appreciate that aspects of the present application may be illustrated and described in terms of several patentable species or situations, including any new and useful combination of processes, machines, manufacture, or materials, or any new and useful improvement thereon. Accordingly, various aspects of the present application may be embodied entirely in hardware, entirely in software (including firmware, resident software, micro-code, etc.) or in a combination of hardware and software. The above hardware or software may be referred to as "data block," module, "" engine, "" unit, "" component, "or" system. Furthermore, aspects of the present application may be represented as a computer product, including computer readable program code, embodied in one or more computer readable media.
The computer storage medium may comprise a propagated data signal with the computer program code embodied therewith, for example, on baseband or as part of a carrier wave. The propagated signal may take any of a variety of forms, including electromagnetic, optical, etc., or any suitable combination. A computer storage medium may be any computer-readable medium that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code located on a computer storage medium may be propagated over any suitable medium, including radio, cable, fiber optic cable, RF, or the like, or any combination of the preceding.
Computer program code required for the operation of various portions of the present application may be written in any one or more programming languages, including an object oriented programming language such as Java, Scala, Smalltalk, Eiffel, JADE, Emerald, C + +, C #, VB.NET, Python, and the like, a conventional programming language such as C, Visual Basic, Fortran 2003, Perl, COBOL 2002, PHP, ABAP, a dynamic programming language such as Python, Ruby, and Groovy, or other programming languages, and the like. The program code 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 latter scenario, the remote computer may be connected to the user's computer through any network format, such as 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), or in a cloud computing environment, or as a service, such as a software as a service (SaaS).
Additionally, the order in which elements and sequences of the processes described herein are processed, the use of alphanumeric characters, or the use of other designations, is not intended to limit the order of the processes and methods described herein, unless explicitly claimed. While various presently contemplated embodiments have been discussed in the foregoing disclosure by way of example, it should be understood that such detail is solely for that purpose and that the appended claims are not limited to the disclosed embodiments, but, on the contrary, are intended to cover all modifications and equivalent arrangements that are within the spirit and scope of the embodiments herein. For example, although the system components described above may be implemented by hardware devices, they may also be implemented by software-only solutions, such as installing the described system on an existing server or mobile device.
Similarly, it should be noted that in the preceding description of embodiments of the application, various features are sometimes grouped together in a single embodiment, figure, or description thereof for the purpose of streamlining the disclosure and aiding in the understanding of one or more of the embodiments. This method of disclosure, however, is not intended to require more features than are expressly recited in the claims. Indeed, the embodiments may be characterized as having less than all of the features of a single embodiment disclosed above.
Claims (22)
1. A method for determining a restricted parking spot, the method being performed by at least one processor and comprising:
acquiring the penalty information of the vehicle;
extracting illegal parking place information from the illegal parking penalty information;
and determining a parking limit place according to the illegal parking place information.
2. The method of determining a restricted parking spot as recited in claim 1, further comprising:
acquiring a running track of the vehicle;
the determining a parking limit place according to at least the illegal parking place information comprises:
and determining a parking limit place according to the information of the parking violation place and the running track of the vehicle.
3. The method of determining a parking limit place according to claim 2, wherein the determining a parking limit place according to the parking violation place information and the driving trace of the vehicle comprises:
determining a parking place of the vehicle in the driving process according to the driving track;
and matching the information of the illegal parking places with the parking places, and determining parking limit places according to matching results.
4. The method for determining a restricted parking spot according to claim 3, wherein the driving trajectory is a vehicle order trajectory, and the determining a parking spot of the vehicle during driving according to the driving trajectory comprises:
acquiring a driving receiving place from the vehicle order track, wherein the driving receiving place is a place where a driver waits for passengers to get on the vehicle;
and determining the driving receiving place as the parking place.
5. The method of determining a restricted parking place according to claim 1, wherein said determining a restricted parking place at least according to the parking violation place information comprises:
acquiring a traffic sign image in an area range at a certain distance from the parking violation place;
and determining a parking limit place according to the information of the parking limit place and the traffic sign image.
6. The method of determining a restricted parking spot as recited in claim 1, further comprising:
acquiring map data, wherein the map data comprises road link data;
the determining a parking limit place according to at least the illegal parking place information comprises:
and matching the illegal parking place information with the road link data, and determining a parking limit place according to a matching result.
7. The method of determining a restricted parking spot as recited in claim 1, further comprising:
determining the number of times of penalty violations occurring at the parking restricted location;
and determining the risk degree of the penalty at the parking limit place according to at least the number of the penalty.
8. The method of determining a restricted parking spot as recited in claim 1, wherein said penalty information comprises a time of penalty, said method further comprising:
determining the times of illegal parking punishment at the parking limiting place in different time periods according to the illegal parking time;
and determining the risk degree of the penalty violated at the parking-restricted place in different time periods according to at least the number of times of the penalty violated at the parking-restricted place in different time periods.
9. The method of determining a restricted parking spot according to claim 1, wherein the restricted parking spot comprises a no parking spot and/or a temporary parking spot.
10. The method of determining a parking limit place according to claim 1, wherein the penalty information of parking violation of the vehicle comprises: violation punishment information pushed by the traffic management department, violation notice information issued by the traffic management department and/or violation punishment information submitted by the service provider.
11. A system for determining a restricted parking spot, comprising:
the acquisition module is used for acquiring the illegal parking penalty information of the vehicle;
the information extraction module is used for extracting illegal parking place information from the illegal parking punishment information;
and the parking limit place determining module is used for determining a parking limit place at least according to the information of the illegal parking place.
12. The system for determining a restricted parking spot as claimed in claim 11,
the acquisition module is further used for acquiring the running track of the vehicle;
the parking limit place determining module is also used for determining a parking limit place according to the information of the parking violation place and the running track of the vehicle.
13. The system for determining a restricted parking spot of claim 12, wherein the restricted parking spot determination module is further configured to:
determining a parking place of the vehicle in the driving process according to the driving track;
and matching the information of the illegal parking places with the parking places, and determining parking limit places according to matching results.
14. The system for determining a restricted parking spot as recited in claim 13 wherein said travel trajectory is a vehicle order trajectory, said restricted parking determination module further for:
acquiring a driving receiving place from the vehicle order track, wherein the driving receiving place is a place where a driver waits for passengers to get on the vehicle;
and determining the driving receiving place as the parking place.
15. The system for determining a restricted parking spot as claimed in claim 11,
the restricted parking spot determination module is further configured to:
acquiring a traffic identification mark image in an area range at a certain distance from the parking violation place;
and determining a parking limit place according to the information of the parking limit place and the traffic sign image.
16. The system for determining a restricted parking spot as claimed in claim 11,
the obtaining module is further used for obtaining map data, and the map data comprises road link data;
the parking limit place determining module is further used for matching the illegal parking place information with the road link data and determining a parking limit place according to a matching result.
17. The system for determining a restricted parking spot of claim 11, wherein the restricted parking spot determination module is further configured to:
determining the number of times of penalty violations occurring at the parking restricted location;
and determining the risk degree of the penalty at the parking limit place according to at least the number of the penalty.
18. The system for determining a restricted parking spot as claimed in claim 11,
the information extraction module is also used for extracting the illegal parking time information from the illegal parking punishment information;
the restricted parking spot determination module is further configured to:
determining the times of the illegal parking punishment at the parking limiting place in different time periods according to the illegal parking time information;
and determining the risk degree of the penalty violated at the parking-restricted place in different time periods according to at least the number of times of the penalty violated at the parking-restricted place in different time periods.
19. The system for determining a restricted parking spot according to claim 11, wherein the restricted parking spot comprises a no parking spot and/or a temporary parking spot.
20. The system for determining a restricted parking spot according to claim 11, wherein the penalty information for parking the vehicle comprises: violation punishment information pushed by the traffic management department, violation notice information issued by the traffic management department and/or violation punishment information submitted by the service provider.
21. An apparatus for determining restricted parking spots, comprising at least one storage medium and at least one processor;
the at least one storage medium is configured to store computer instructions;
the at least one processor is configured to execute the computer instructions to implement the method of determining a restricted parking spot of any of claims 1-10.
22. A computer readable storage medium storing computer instructions which, when executed by a processor, implement a method of determining a restricted parking spot according to any one of claims 1 to 10.
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| CN201811333384.3A CN111179578A (en) | 2018-11-09 | 2018-11-09 | Method and system for determining parking place limitation |
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| Application Number | Priority Date | Filing Date | Title |
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| CN201811333384.3A CN111179578A (en) | 2018-11-09 | 2018-11-09 | Method and system for determining parking place limitation |
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| CN111179578A true CN111179578A (en) | 2020-05-19 |
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| CN201811333384.3A Pending CN111179578A (en) | 2018-11-09 | 2018-11-09 | Method and system for determining parking place limitation |
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