WO2019071414A1

WO2019071414A1 - Parking guidance method and device, computing apparatus, and storage medium

Info

Publication number: WO2019071414A1
Application number: PCT/CN2017/105480
Authority: WO
Inventors: 彭磊; 董适; 李慧云
Original assignee: 深圳先进技术研究院
Priority date: 2017-10-10
Filing date: 2017-10-10
Publication date: 2019-04-18

Abstract

The present invention is applicable to the technical field of computers, and provides a parking guidance method and device, an apparatus, and a storage medium. The method comprises: calculating, according to public information of parking lots in a preset range and a mutual road connection relationship among the parking lots, a service evaluation index of the parking lots, and storing the result in a preset database; obtaining a current location of a user vehicle when a parking guidance request of the user vehicle is received; obtaining, according to the current location of the user vehicle and from the preset database, a parking lot within a preset range comprising the current location and the service evaluation index of the parking lot; calculating, according to a location relationship between the parking lot and a location of the user vehicle and the service evaluation index, a current recommendation reference value of the parking lot; and setting a parking lot with the calculated greatest current recommendation reference value as a target parking lot of the user vehicle, and performing, according to the target parking lot, parking guidance on the user vehicle. The invention reduces parking guidance complexity.

Description

Parking induction method, device, computing device and storage medium

Technical field

The invention belongs to the technical field of computers, and in particular relates to a parking induction method, device, computing device and storage medium.

Background technique

Parking difficulty is a very prominent problem in the current city. Building a city-level parking guidance information service system (PGIS) is an effective way to alleviate this problem. The parking guidance system of the existing parking lot needs to acquire the dynamic parking space information in the parking lot in real time, and induce parking of the user vehicle according to the dynamic parking space information acquired in real time. In the construction of PGIS, if the city-level parking guidance information service system constructed by interconnecting all the parking lots in the city is used, it is necessary to obtain the dynamic parking space information in all parking lots in real time, which is limited by technology and funds. At this stage, it is difficult to achieve the interconnection of the entire city, which limits the effect of the induced application. There are currently no cities in the country that have established urban-level PGIS.

Summary of the invention

The object of the present invention is to provide a parking induction method, device, computing device and storage medium, which aims to solve the problem that the construction speed of the existing urban-level parking guidance system is too slow due to the real-time parking data, and the user effect is not obvious. The problem.

The present invention provides a parking inducing method, the method comprising the steps of:

Obtaining publicity information of the parking lot in the preset area, and calculating a hardware evaluation index of the parking lot according to the publicity information;

Obtaining a location connection relationship between the parking lots in the preset area, calculating a service evaluation index of the parking lot according to the location connection relationship and the hardware evaluation index, and storing the calculated service evaluation indicator in the In the parking lot publicity database;

Acquiring a current location of the user vehicle when receiving a parking induction request of the user vehicle;

Obtaining, according to a current location of the user vehicle, a parking lot within a preset range including the current location and a service evaluation index of the parking lot from a preset parking lot publicity database;

Calculating a current recommended reference value of the parking lot according to an orientation relationship between the parking lot and the location of the user vehicle and the service evaluation index;

And setting the calculated parking lot with the current recommended reference value as the target parking lot of the user vehicle, and performing parking induction on the user vehicle according to the target parking lot.

In another aspect, the present invention provides a parking inducing device, the device comprising:

The indicator calculation unit is configured to acquire publicity information of the parking lot in the preset area, and calculate a hardware evaluation index of the parking lot according to the publicity information;

a data storage unit, configured to acquire a location connection relationship between the parking lots in the preset area, calculate a service evaluation index of the parking lot according to the location connection relationship and the hardware evaluation index, and calculate the calculated Service evaluation indicators are stored in the parking lot publicity database;

a vehicle location acquisition unit, configured to acquire a current location of the user vehicle when receiving a parking induction request of the user vehicle;

An indicator obtaining unit, configured to acquire, according to a current location of the user vehicle, a parking lot within a preset range including the current location and a service evaluation index of the parking lot from a preset parking lot publicity database;

a reference value calculation unit, configured to calculate a current recommended reference value of the parking lot according to an orientation relationship between the parking lot and the location of the user vehicle and the service evaluation indicator;

The parking inducing unit is configured to set the calculated parking lot with the current recommended reference value as the target parking lot of the user vehicle, and perform parking induction on the user vehicle according to the target parking lot.

In another aspect, the present invention also provides a computing device including a memory, a processor, and a computer program stored in the memory and operable on the processor, the processor implementing the computer program The steps of the parking induction method as described.

In another aspect, the present invention also provides a computer readable storage medium, the computer readable storage The storage medium stores a computer program that, when executed by the processor, implements the steps of the parking inducing method.

The invention acquires the publicity information of the parking lot in the preset area, calculates the hardware evaluation index of the parking lot according to the public information, acquires the position connection relationship between the parking lots in the preset area, and calculates the parking according to the position connection relationship and the hardware evaluation index. The service evaluation index of the field, and storing the calculated service evaluation index in the parking lot publicity database, when receiving the parking induction request of the user vehicle, acquiring the current location of the user vehicle, and presetting according to the current location of the user vehicle The parking lot publicity database obtains the service evaluation index of the parking lot and the parking lot within the preset range including the current location, and calculates the current recommended reference of the parking lot according to the orientation relationship between the parking lot and the location of the user's vehicle and the service evaluation index. The value is obtained by setting the calculated parking lot with the current recommended reference value as the target parking lot of the user's vehicle, and parking the user's vehicle according to the target parking lot, thereby using the service evaluation index calculated according to the publicity information of the parking lot as Parking induced reference data, Induction of the parking reference data acquisition and calculation, the parking guidance data storage reduced hardware requirements, reduce the amount of data calculated parking guidance, thus reducing the complexity of the parking guidance.

DRAWINGS

1 is a flowchart showing an implementation of a parking guidance method according to Embodiment 1 of the present invention;

Figure 2 is a parking lot public sign;

Figure 3 is a graphical structure of a parking lot;

4 is a schematic diagram of a parking lot and a user's vehicle in a preset coordinate system;

FIG. 5 is a schematic diagram showing the results of the current recommended reference values of the respective parking lots;

6 is a schematic structural view of a parking guidance device according to Embodiment 2 of the present invention;

7 is a schematic structural diagram of a parking guidance device according to Embodiment 3 of the present invention;

FIG. 8 is a schematic structural diagram of a computing device according to Embodiment 4 of the present invention.

Detailed ways

The present invention will be further described in detail below with reference to the accompanying drawings and embodiments. It is understood that the specific embodiments described herein are merely illustrative of the invention and are not intended to limit the invention.

The specific implementation of the present invention is described in detail below in conjunction with specific embodiments:

Embodiment 1:

FIG. 1 is a flowchart showing an implementation process of a parking inference method according to Embodiment 1 of the present invention. For convenience of description, only parts related to the embodiment of the present invention are shown, which are described in detail as follows:

In step S101, the public information of the parking lot in the preset area is acquired, and the hardware evaluation index of the parking lot is calculated according to the public information.

The embodiment of the invention is applicable to the parking guidance device, so as to facilitate the parking induction of the user vehicle according to the current position of the user's vehicle, thereby solving the problem that the user is difficult to park. In the embodiment of the present invention, the public information of the parking lot in the preset area is acquired and a corresponding public information database is established to facilitate the use of the data in the public information database in the subsequent parking induction process, and then, according to the public information of the parking lot. Calculate the hardware evaluation indicators of the parking lot.

The preset area may be a preset urban area, for example, Beijing, Shenzhen, and the public information is the filing information of each parking lot, and may be the same as the public information displayed on the parking lot public sign (shown in FIG. 2). Including parking lot type (for example, non-opening type, residential type, social public type), parking lot parking space and parking lot charging standards, etc. The parking lot hardware evaluation index reflects the parking lot hardware aspect acceptable user vehicle parking Capacity, the service evaluation index of the parking lot reflects the comprehensive ability of the parking lot to accept the parking of the user's vehicle.

Preferably, when calculating the hardware evaluation index of the parking lot according to the public information, first calculating the parking service characteristic value of the parking lot according to the publicity information of the parking lot, and then calculating the hardware evaluation index of the parking lot according to the parking service characteristic value, thereby improving the calculation accuracy. The parking service feature value may include a service visibility factor, a service capability factor, a selection willing factor, and the like.

Specifically, the letter a can be used to indicate the service visibility factor, a ∈ [0, 1], and the closer to 0, the lower the willingness of the parking lot to open to the society, and the closer a is to 1, indicating that Parking lot facing the society The higher the willingness to open; the letter b can be used to indicate the service capability factor, b≥0, and the b is closer to 0, indicating that the service capacity of the parking lot is lower, and b is closer to 1, indicating the service of the parking lot. The higher the ability (that is, the more parking spaces); the letter c can be used to indicate the choice of willingness factor, c ≥ 1, when c = 1, it means that the parking lot is free, that is, the most competitive price, the larger c The more expensive the parking lot is, the weaker the price competitiveness.

Preferably, when calculating the hardware evaluation index of the parking lot according to the parking service characteristic value of the parking lot, if there are n parking lots in the preset area, the feature matrix is first constructed according to the parking service feature values of all n parking lots {a _i , b _i , c _i }(i=1,..,n), then according to the formula

Calculating the hardware evaluation index of the parking lot P _i , where |||| is a first-order norm symbol of the vector, ||b||, ||c|| is a column vector b, c of the parking service feature value Order norm. In this way, when calculating the hardware evaluation index of the parking lot, the hardware evaluation index of the social public parking lot with large capacity and low charging characteristics is high, and the hardware evaluation index of the residential parking lot with small capacity and high charging characteristics is low. , thus improving the accuracy of hardware evaluation indicators.

In step S102, the location connection relationship between the parking lots in the preset area is acquired, the service evaluation index of the parking lot is calculated according to the location connection relationship and the hardware evaluation index, and the calculated service evaluation index is stored in the parking lot publicity database. in.

In the embodiment of the present invention, after obtaining the publicity information of the parking lot, first obtaining the location connection relationship between the parking lots in the preset area, and the location connection relationship between the parking lots P _i is as shown in FIG. Structure, in order to obtain the influence of location connection relationship on parking induction, and calculate the service evaluation index of the parking lot according to the location connection relationship and the hardware evaluation index, and finally store the calculated service evaluation index in the parking lot publicity database, thereby using the parking lot The publicity information provides reference data for subsequent parking guidance, which simplifies the acquisition process of parking lot data and reduces the hardware requirements for parking induced data storage. Wherein, L _{ij in} FIG. 3 is the distance from the parking lot P _i to the parking lot P _j , i, j=1, . . . , n, and for simplifying the calculation, it is assumed that L _ij =L _ji .

Preferably, when calculating the service evaluation index of the parking lot according to the location connection relationship and the hardware evaluation index of the parking lot, the formula is used according to the location connection relationship between the parking lots in the preset area.

The hardware evaluation index of the parking lot is iteratively calculated, and the iteration is stopped until the preset convergence condition is reached, and the service evaluation index of the parking lot is obtained, thereby improving the calculation accuracy of the service evaluation index. The preset convergence condition may be

ε is a sufficiently small preset value,

The service weight in the parking lot graphic structure of the parking lot P _i in the preset area, and the initial value is

The higher the service evaluation index of the parking lot when the preset convergence condition is reached, the higher the evaluation of the parking lot in the preset area, k is the number of iterations, and q is a adjustable factor between [0, 1]. Preferably, q is set to q=0.85, thereby improving the accuracy of the service evaluation index.

In step S103, when the parking guidance request of the user's vehicle is received, the current position of the user's vehicle is acquired.

In the embodiment of the present invention, when receiving the parking induction request of the user vehicle, it is stated that the user needs to find a parking space in a nearby parking lot to perform parking. At this time, the current location of the user vehicle is acquired to obtain according to the location of the vehicle. parking lot.

In step S104, based on the current location of the user's vehicle, the parking lot and the parking lot's service evaluation index including the current location are acquired from the preset parking lot publicity database.

In the embodiment of the present invention, after acquiring the current location of the user's vehicle, first obtaining a parking lot within a preset range including the current location of the user's vehicle from the preset parking lot publicity database according to the current location of the user's vehicle, and These parking lots are used as candidate parking lots, and then the service evaluation indicators of the parking lots are obtained to further select from the parking lots according to the service evaluation indicators, wherein the service evaluation indicators are calculated and stored in advance according to the publicity information of the parking lots. The data in the database is disclosed in the parking lot, so that the service evaluation index calculated based on the publicity information of the parking lot is used as the reference data for the parking guidance, and the process of obtaining the parking parking guidance reference data is optimized.

Preferably, the preset range of the acquired parking lot is a circular range centered on the current position of the user's vehicle and having a radius of the preset length, thereby ensuring that the acquired parking lot is convenient for the user vehicle to perform the nearby parking. Further preferably, when there is no parking lot within the preset range, the preset length may be updated according to a preset update manner. The line is updated to get the parking lot near the user's vehicle.

In step S105, the current recommended reference value of the parking lot is calculated based on the orientation relationship between the parking lot and the location of the user's vehicle and the service evaluation index.

In the embodiment of the present invention, after acquiring the parking lot in the preset range including the current location, first acquiring the orientation relationship between the parking lot and the location of the user's vehicle, and then according to the orientation relationship between the parking lot and the location of the user's vehicle. And the service evaluation index, the current recommended reference value of the parking lot is calculated, and the current recommended reference value of the parking lot reflects the time required for the user's vehicle to drive to the parking lot, the driving cost to be spent, and the probability that the parking lot can be successfully parked.

Preferably, when calculating the current recommended reference values of the parking lots according to the orientation relationship between the parking lot and the location of the user's vehicle and the calculated service evaluation index, firstly, according to the orientation relationship between the parking lots and the position of the user's vehicle. Calculate the current convenience of these parking lots. The current convenience of the parking lot reflects the convenience of the user's vehicles from the current location to the parking lot. Then, based on the current convenience and service evaluation indicators of these parking lots, the parking lots are calculated. Reference values are currently recommended, which improves the accuracy of the calculation.

Further preferably, when calculating the current convenience of the parking lot according to the orientation relationship between the parking lot and the location of the user's vehicle, first acquiring the vehicle coordinates of the user's vehicle in the preset coordinate system according to the current position of the user's vehicle, and acquiring The parking lot coordinates of the parking lot in the preset coordinate system, and then in the preset coordinate system, the current convenience of the parking lot is calculated according to the parking lot coordinates and the vehicle coordinates, thereby improving the accuracy of calculating the current convenience. Preferably, the preset coordinate system is a latitude and longitude coordinate system, thereby facilitating coordinate representation of the geospatial position.

Further preferably, when calculating the current recommended reference values of the parking lots according to the current convenience and service evaluation indicators of the parking lots, first obtaining the parking lot at the preset according to the parking lot coordinates of the parking lot in the preset coordinate system. The quadrant in the coordinate system, and then obtain the driving direction of the user's vehicle. According to the quadrant of the parking lot in the preset coordinate system and the driving direction of the user's vehicle, the current convenience weight is set for the parking lot. Set the quadrant in the coordinate system, the parking lot coordinates, the driving direction of the user's vehicle, and the user's vehicle coordinates, as shown in Figure 4, and finally according to the current convenience of the parking lot, The service evaluation index and the weight of the current convenience are used to calculate the current recommended reference value of each parking lot, thereby further improving the accuracy of the calculation.

Preferably, a formula can be used

Calculate the current recommended reference value of each parking lot, thereby improving the calculation accuracy of the current recommended reference value, thereby improving the success rate of parking induction. among them,

Indicates the impact of the cost of transportation between the vehicle and the parking lot (ie the cost of driving from one parking lot to another) on the choice of parking lot, d _i indicates the distance from the parking lot to the user's vehicle, and α indicates the parking lot of the i. The current convenience weight, βlnPR _i indicates the impact of the service evaluation index of the i parking lot on the parking lot selection, lnPR _i represents the service evaluation index of the i parking lot, and β represents the preset weight of the service evaluation index.

In step S106, the calculated parking lot with the current recommended reference value is set as the target parking lot of the user's vehicle, and the parking of the user is induced according to the target parking lot.

In the embodiment of the present invention, the larger the current recommended reference value of the parking lot, the more the user can spend the minimum driving cost in the shortest time, and the probability of finding the parking space in the parking lot and parking is larger, specifically, the calculation is obtained. The current recommended reference value of each parking lot may be as shown in FIG. 5 . Therefore, after calculating the current recommended reference value of each parking lot, first compare the current recommended reference values of the respective parking lots to find the current recommended reference value. The largest parking lot is then set as the target parking lot of the user's vehicle. Finally, according to the location of the target parking lot, a parking guidance scheme is generated, and the parking induction of the user vehicle is performed according to the generated parking induction scheme, thereby improving parking induction. Success rate.

In the embodiment of the present invention, by using the service evaluation index calculated according to the publicity information of the parking lot as the parking induced reference data, the acquisition and calculation process of the parking parking guidance reference data is optimized, and the hardware of the parking induced data storage is reduced. The requirement is that the amount of parking-induced data calculation is reduced, thereby reducing the complexity of parking induction.

Embodiment 2:

FIG. 6 shows the structure of the parking inducing device provided by the second embodiment of the present invention. For the convenience of description, only parts related to the embodiment of the present invention are shown, including:

The indicator calculation unit 61 is configured to acquire publicity information of the parking lot in the preset area, and calculate a hardware evaluation index of the parking lot according to the publicity information.

The data storage unit 62 is configured to acquire a location connection relationship between the parking lots in the preset area, calculate a service evaluation index of the parking lot according to the location connection relationship and the hardware evaluation index, and store the calculated service evaluation indicator in the parking lot. In the public database.

The vehicle location acquisition unit 63 is configured to acquire a current location of the user vehicle when receiving the parking induction request of the user vehicle.

The indicator obtaining unit 64 is configured to acquire, from the preset parking lot publicity database, a service evaluation index of the parking lot and the parking lot within a preset range of the current location according to the current location of the user's vehicle.

The reference value calculation unit 65 is configured to calculate a current recommended reference value of the parking lot according to the orientation relationship between the parking lot and the location of the user's vehicle and the service evaluation index.

The parking inducing unit 66 is configured to set the calculated parking lot with the current recommended reference value as the target parking lot of the user vehicle, and perform parking induction on the user vehicle according to the target parking lot.

In the embodiment of the present invention, the public information of the parking lot in the preset area is obtained by the index calculating unit 61, the hardware evaluation index of the parking lot is calculated according to the public information, and the parking spaces in the preset area are obtained by the data storage unit. The location connection relationship is calculated according to the location connection relationship and the hardware evaluation index, and the calculated service evaluation index is stored in the parking lot publicity database, and when the parking induction request of the user vehicle is received, the vehicle location acquisition is performed. Unit 63 acquires the current location of the user's vehicle to make accurate parking induction based on the current location of the user's vehicle. After that, the indicator obtaining unit 64 acquires the parking lot and the service evaluation index of the parking lot within the preset range including the current location from the preset parking lot publicity database according to the current location of the user's vehicle, and the reference value calculating unit 65 according to the parking lot. Calculating the current recommended reference value of the parking lot with the orientation relationship and service evaluation index between the user's vehicle position, thereby reducing the dependence of the parking guidance on the prior data, and improving the dependence The parking recommendation unit 66 sets the calculated parking lot with the current recommended reference value as the target parking lot of the user's vehicle, and performs parking induction on the user's vehicle according to the target parking lot, thereby using the accuracy of the current recommended reference value of the parking lot. The service evaluation index calculated according to the publicity information of the parking lot is used as the reference data for parking guidance, and the calculation process of the parking parking guidance reference data is optimized, the hardware requirement of the parking induction data storage is reduced, and the calculation amount of the parking-induced data is reduced. This reduces the complexity of parking induction.

In the embodiment of the present invention, each unit of the parking inducing device may be implemented by a corresponding hardware or software unit, and each unit may be an independent software and hardware unit, or may be integrated into one soft and hardware unit, and the present invention is not limited thereto. .

Embodiment 3:

FIG. 7 shows a structure of a parking guidance device according to Embodiment 3 of the present invention. For convenience of description, only parts related to the embodiment of the present invention are shown, including:

The indicator calculation unit 71 is configured to acquire publicity information of the parking lot in the preset area, and obtain a hardware evaluation index of the parking lot according to the publicity information.

In the embodiment of the present invention, the preset area may be a preset urban area, for example, Beijing, Shenzhen, and the public information is the filing information of each parking lot, and may be the same as the public information on the parking lot public sign, including parking. The type of field (for example, non-opening type, residential type, social public type), parking lot parking space and parking lot charging standard, etc., the hardware evaluation index of the parking lot reflects the ability of the parking lot hardware to accept the parking of the user vehicle. The service evaluation index of the parking lot reflects the comprehensive ability of the parking lot to accept the parking of the user's vehicle.

In the embodiment of the present invention, before the parking induction is performed, the index calculation unit 71 first acquires the publicity information of the parking lot in the preset area and establishes a corresponding public information database to facilitate use in the public information database in the subsequent parking induction process. After the data, the hardware evaluation index of the parking lot is calculated according to the publicity information of the parking lot, thereby providing reference data for subsequent parking guidance.

Preferably, the letter a is used to indicate the service visibility factor, a ∈ [0, 1], and the closer to 0, the lower the willingness of the parking lot to open to the society, and the closer a is to 1, indicating the parking. Scenes open to society The higher the willingness to release; further, the letter b is used to indicate the service capability factor, b ≥ 0, and b is closer to 0, indicating that the service capacity of the parking lot is lower, and b is closer to 1, indicating that the parking lot is The higher the service capacity (that is, the more parking spaces); further, the letter c is used to indicate the choice of willingness factor, c ≥ 1, when c = 1, it means that the parking lot is free, that is, the most competitive price, The larger c, the more expensive the parking lot is, and the weaker the price competitiveness.

The data storage unit 72 is configured to acquire a location connection relationship between the parking lots in the preset area, calculate a service evaluation index of the parking lot according to the location connection relationship and the hardware evaluation index, and store the calculated service evaluation indicator in the parking lot. In the public database.

In the embodiment of the present invention, after calculating the hardware evaluation index of the parking lot, the data storage unit 72 first acquires the location connection relationship between the parking lots in the preset area, to obtain the influence of the location connection relationship on the parking induction, and then according to the location. The connection relationship and the hardware evaluation index calculate the service evaluation index of the parking lot, thereby using the public information of the parking lot to provide reference data for the subsequent parking guidance, simplifying the acquisition process of the parking lot data, and reducing the hardware requirements of the parking induced data storage.

ε is a sufficiently small preset value, and the higher the service evaluation index of the parking lot, the higher the evaluation of the parking lot in the preset area.

The vehicle location obtaining unit 73 is configured to acquire a current location of the user's vehicle when receiving the parking induction request of the user's vehicle.

In the embodiment of the present invention, when receiving the parking induction request of the user vehicle, the user needs to find a parking space in the nearby parking lot to perform parking. At this time, the vehicle location acquiring unit 73 acquires the current location of the user's vehicle, Get parking lots based on the location of the vehicle.

The indicator obtaining unit 74 is configured to acquire, from the preset parking lot publicity database, a service evaluation index of the parking lot and the parking lot within a preset range of the current location according to the current location of the user's vehicle.

In the embodiment of the present invention, after acquiring the current location of the user's vehicle, the indicator obtaining unit 74 first acquires a parking lot within a preset range including the current location of the user's vehicle from the pre-established public information database according to the current location of the user's vehicle. And use these parking lots as candidate parking lots, and then obtain service evaluation indicators of these parking lots to further select from these parking lots according to service evaluation indicators, wherein the service evaluation indicators are calculated in advance according to the publicity information of the parking lots. The data obtained and stored in the parking lot publicity database is used, and the service evaluation index calculated based on the publicity information of the parking lot is used as the reference data for the parking guidance, and the process of obtaining the parking parking parking guidance reference data is optimized.

The reference value calculation unit 75 is configured to calculate a current recommended reference value of the parking lot according to the orientation relationship between the parking lot and the location of the user's vehicle and the service evaluation index.

In the embodiment of the present invention, after acquiring the parking lot within the preset range including the current location, the reference value calculating unit 75 first acquires the orientation relationship between the parking lot and the location of the user's vehicle, and then according to the parking lot and the location of the user's vehicle. The current positional relationship and service evaluation indicators are used to calculate the current recommended reference values for these parking lots.

Preferably, when calculating the current recommended reference values of the parking lots according to the orientation relationship between the parking lot and the location of the user's vehicle and the calculated service evaluation index, firstly, according to the orientation relationship between the parking lots and the position of the user's vehicle. Calculate the current convenience of these parking lots, and then calculate the current recommended reference values of these parking lots based on the current convenience and service evaluation indicators of these parking lots, thereby improving the accuracy of the calculation.

Further preferably, when calculating the current recommended reference values of the parking lots according to the current convenience and service evaluation indicators of the parking lots, first obtaining the parking lot at the preset according to the parking lot coordinates of the parking lot in the preset coordinate system. The quadrant in the coordinate system, then obtain the driving direction of the user's vehicle, set the weight of the current convenience for the parking lot according to the quadrant in the preset coordinate system and the driving direction of the user's vehicle, and finally according to the parking lot. The current convenience, service evaluation indicators, and current convenience weights are used to calculate the current recommended reference values for each parking lot, thereby further improving the accuracy of the calculation.

Preferably, a formula can be used

The current recommended reference value of each parking lot is calculated, thereby improving the calculation accuracy of the current recommended reference value, thereby improving the success rate of parking induction. among them,

The parking inducing unit 76 is configured to set the calculated parking lot with the current recommended reference value as the target parking lot of the user vehicle, and perform parking induction on the user vehicle according to the target parking lot.

In the embodiment of the present invention, the larger the current recommended reference value of the parking lot, the more the user can spend the minimum driving cost in the shortest time, and the probability that the parking space is found in the parking lot and the parking is greater, therefore, the parking is calculated. After the current recommended reference value of the field, the parking inducing unit 76 first compares the size of the current recommended reference value of each parking lot, finds the parking lot in which the current recommended reference value is the largest, and then sets the parking lot as the target parking of the user vehicle. In the field, according to the location of the target parking lot, a parking induction scheme is generated, and the parking induction of the user vehicle is performed according to the generated parking induction scheme, thereby improving the success rate of parking induction.

In the embodiment of the present invention, before the parking is induced, the service evaluation index calculated according to the publicity information of the parking lot is calculated in advance, and a public information database is established for storing the public information of the parking lot and the calculated service evaluation index. When the parking is induced, the service evaluation index is used as the reference data for parking guidance, the acquisition and calculation process of the parking parking guidance reference data is optimized, the hardware requirements of the parking guidance data storage are reduced, and the parking-induced data calculation amount is reduced, thereby Reduces the complexity of parking induction.

Therefore, preferably, the reference value calculation unit 75 includes:

a convenience calculation unit 751, configured to calculate a current convenience of the parking lot according to an orientation relationship between the parking lot and the location of the user's vehicle;

Reference value calculation sub-unit 752 for determining the current convenience and service evaluation indicators of the parking lot, Calculate the current recommended reference value for the parking lot;

Preferably, the convenience calculation unit 751 includes:

The coordinate obtaining unit 7511 is configured to acquire vehicle coordinates of the user vehicle in the preset coordinate system according to the current position of the user's vehicle, and acquire parking lot coordinates of the parking lot in the preset coordinate system;

a convenience calculation sub-unit 7512, configured to calculate, in a preset coordinate system, a current convenience of the parking lot according to the parking lot coordinates and the vehicle coordinates;

Preferably, the reference value calculation subunit 752 includes:

The quadrant acquiring unit 7521 is configured to acquire a quadrant of the parking lot in the preset coordinate system according to the parking lot coordinates of the parking lot in the preset coordinate system;

a weight setting unit 7522, configured to acquire a traveling direction of the user's vehicle, and set a weight of the current convenience for the parking lot according to a quadrant in which the parking lot is located in the preset coordinate system and a driving direction of the user's vehicle;

The result calculation unit 7523 is configured to calculate a current recommended reference value of the parking lot according to the current convenience of the parking lot, the service evaluation index, and the weight of the current convenience.

Embodiment 4:

FIG. 8 shows the structure of a computing device according to Embodiment 4 of the present invention. For convenience of description, only parts related to the embodiment of the present invention are shown.

The computing device 8 of an embodiment of the present invention includes a processor 80, a memory 81, and a computer program 82 stored in the memory 81 and executable on the processor 80. When the processor 80 executes the computer program 82, the steps in the above-described respective parking inference method embodiments are implemented, for example, steps S101 to S106 shown in FIG. Alternatively, when the processor 80 executes the computer program 82, the functions of the units in the above-described respective device embodiments are realized, for example, the functions of the units 61 to 66 shown in FIG. 6, and the units 71 to 76 shown in FIG.

In the embodiment of the present invention, when the processor 80 executes the computer program 82, the above various parkings are implemented. When the step in the embodiment of the method is induced, when the parking induction request of the user vehicle is received, the current location of the user's vehicle is acquired, and according to the current location of the user's vehicle, the parking lot and the parking lot in the preset range including the current location are acquired. The service evaluation index calculates the current recommended reference value of the parking lot according to the orientation relationship between the parking lot and the location of the user's vehicle and the service evaluation index, and sets the calculated parking lot with the largest recommended reference value as the target parking lot of the user vehicle. According to the target parking lot, the parking induction of the user vehicle is performed, thereby optimizing the acquisition and calculation process of the parking parking guidance reference data by using the service evaluation index calculated according to the publicity information of the parking lot as the parking induced reference data, and reducing the process. The hardware requirements for parking-induced data storage reduce the amount of parking-induced data calculations, which in turn reduces the complexity of parking induction.

For the steps of the method in the first embodiment, the description of the method in the first embodiment can be omitted.

Embodiment 5:

In an embodiment of the present invention, there is provided a computer readable storage medium storing a computer program, the computer program being executed by a processor to implement the steps in the foregoing embodiments of the parking inference method, for example, Steps S101 to S106 shown in Fig. 1. Alternatively, the computer program is executed by the processor to implement the functions of the units in the above-described respective device embodiments, for example, the functions of the units 61 to 66 shown in Fig. 6, and the units 71 to 76 shown in Fig. 7.

In the embodiment of the present invention, when the parking induction request of the user vehicle is received, the current location of the user vehicle is acquired, and according to the current location of the user vehicle, the parking lot and the parking lot service evaluation in the preset range including the current location are acquired. The indicator calculates the current recommended reference value of the parking lot according to the orientation relationship between the parking lot and the location of the user's vehicle, and the service evaluation index, and sets the calculated parking lot with the current recommended reference value as the target parking lot of the user vehicle. The parking induction of the user vehicle is performed according to the target parking lot, so that the service evaluation index calculated according to the publicity information of the parking lot is used as the parking induced reference data, and the acquisition and calculation process of the parking parking guidance reference data is optimized, and the parking is reduced. The hardware requirements for inducing data storage reduce the amount of data that is induced by parking, which in turn reduces the complexity of parking induction. The parking inducing method implemented when the computer program is executed by the processor For a step, reference may be made to the description of the steps in the foregoing method embodiments, and details are not described herein again.

The computer readable storage medium of the embodiments of the present invention may include any entity or device capable of carrying computer program code, a recording medium such as a ROM/RAM, a magnetic disk, an optical disk, a flash memory, or the like.

The above is only the preferred embodiment of the present invention, and is not intended to limit the present invention. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present invention should be included in the protection of the present invention. Within the scope.

Claims

A parking guidance method, characterized in that the method further comprises:

Obtaining publicity information of the parking lot in the preset area, and calculating a hardware evaluation index of the parking lot according to the publicity information;

Obtaining a location connection relationship between the parking lots in the preset area, calculating a service evaluation index of the parking lot according to the location connection relationship and the hardware evaluation index, and storing the calculated service evaluation indicator in the In the parking lot publicity database;

Acquiring a current location of the user vehicle when receiving a parking induction request of the user vehicle;

Obtaining, according to a current location of the user vehicle, a parking lot within a preset range including the current location and a service evaluation index of the parking lot from a preset parking lot publicity database;

Calculating a current recommended reference value of the parking lot according to an orientation relationship between the parking lot and the location of the user vehicle and the service evaluation index;

The parking lot with the current recommended reference value is set as the target parking lot of the user vehicle, and the parking of the user vehicle is induced according to the target parking lot.
The method of claim 1 wherein the step of calculating a current recommended reference value for the parking lot based on an orientation relationship between the parking lot and the location of the user vehicle and the service evaluation indicator comprises :

Calculating a current convenience of the parking lot according to an orientation relationship between the parking lot and the location of the user vehicle;

And calculating a current recommended reference value of the parking lot according to the current convenience of the parking lot and the service evaluation index.
The method of claim 2, wherein the step of calculating the current convenience of the parking lot based on an orientation relationship between the parking lot and the location of the user vehicle comprises:

Obtaining, according to a current location of the user vehicle, vehicle coordinates of the user vehicle in a preset coordinate system, and acquiring parking lot coordinates of the parking lot in the preset coordinate system;

In the preset coordinate system, calculating the stop according to the parking lot coordinates and the vehicle coordinates The current convenience of the yard.
The method according to claim 3, wherein the step of calculating the current recommended reference value of the parking lot according to the current convenience of the parking lot and the service evaluation index comprises:

Obtaining a quadrant of the parking lot in the preset coordinate system according to the parking lot coordinates of the parking lot in the preset coordinate system;

Obtaining a driving direction of the user vehicle, and setting a weight of the current convenience for the parking lot according to a quadrant where the parking lot is located in the preset coordinate system and a driving direction of the user vehicle;

And calculating a current recommended reference value of the parking lot according to the current convenience of the parking lot, the service evaluation index, and the weight of the current convenience.
A parking inducing device, characterized in that the device comprises:

The indicator calculation unit is configured to acquire publicity information of the parking lot in the preset area, and calculate a hardware evaluation index of the parking lot according to the publicity information;

a data storage unit, configured to acquire a location connection relationship between the parking lots in the preset area, calculate a service evaluation index of the parking lot according to the location connection relationship and the hardware evaluation index, and calculate the calculated Service evaluation indicators are stored in the parking lot publicity database;

a vehicle location acquisition unit, configured to acquire a current location of the user vehicle when receiving a parking induction request of the user vehicle;

An indicator obtaining unit, configured to acquire, according to a current location of the user vehicle, a parking lot within a preset range including the current location and a service evaluation index of the parking lot from a preset parking lot publicity database;

a reference value calculation unit, configured to calculate a current recommended reference value of the parking lot according to an orientation relationship between the parking lot and the location of the user vehicle and the service evaluation indicator;

The parking inducing unit is configured to set a parking lot with the current recommended reference value as the target parking lot of the user vehicle, and perform parking induction on the user vehicle according to the target parking lot.
The device according to claim 5, wherein the reference value calculation unit comprises:

a convenience calculation unit for determining an orientation between the parking lot and the location of the user vehicle System, calculating the current convenience of the parking lot;

And a reference value calculation subunit, configured to calculate a current recommended reference value of the parking lot according to the current convenience of the parking lot and the service evaluation indicator.
The apparatus according to claim 6, wherein said convenience calculation unit comprises:

a coordinate acquiring unit, configured to acquire vehicle coordinates of the user vehicle in a preset coordinate system according to a current location of the user vehicle, and acquire parking lot coordinates of the parking lot in the preset coordinate system;

a convenience calculation subunit for calculating a current convenience of the parking lot according to the parking lot coordinates and the vehicle coordinates in the preset coordinate system.
The apparatus according to claim 7, wherein said reference value calculation subunit comprises:

a quadrant acquiring unit, configured to acquire a quadrant of the parking lot in the preset coordinate system according to the parking lot coordinates of the parking lot in the preset coordinate system;

a weight setting unit, configured to acquire a traveling direction of the user vehicle, and set the current location for the parking lot according to a quadrant where the parking lot is located in the preset coordinate system and a driving direction of the user vehicle The weight of convenience; and

a result calculating unit, configured to calculate a current recommended reference value of the parking lot according to the current convenience of the parking lot, the service evaluation index, and the weight of the current convenience.
A computing device comprising a memory, a processor, and a computer program stored in the memory and operative on the processor, wherein the processor executes the computer program as claimed in claim 1 4 The steps of any of the methods described.
A computer readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the steps of the method of any one of claims 1 to 4.