CN110992687B - Vehicle moving reminding method applied to parking lot and storage medium - Google Patents
Vehicle moving reminding method applied to parking lot and storage medium Download PDFInfo
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- G—PHYSICS
- G08—SIGNALLING
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- G08G1/00—Traffic control systems for road vehicles
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- G08G1/017—Detecting movement of traffic to be counted or controlled identifying vehicles
- G08G1/0175—Detecting movement of traffic to be counted or controlled identifying vehicles by photographing vehicles, e.g. when violating traffic rules
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/048—Detecting movement of traffic to be counted or controlled with provision for compensation of environmental or other condition, e.g. snow, vehicle stopped at detector
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- G—PHYSICS
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- G08G—TRAFFIC CONTROL SYSTEMS
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Abstract
The invention discloses a vehicle moving reminding method, a storage medium and computer equipment applied to a parking lot, wherein the method comprises the following steps: identifying passing vehicles passing through a specified peripheral range of a target vehicle in a parking lot to obtain relevant data of the passing vehicles; acquiring relevant data of road environment in a specified peripheral range where a passing vehicle passes; acquiring relevant data of a parking state of a target vehicle in a parking lot; determining a vehicle moving index of a target vehicle according to the relevant data of the passing vehicle, the relevant data of the road environment and the relevant data of the parking state; comparing the vehicle moving index with a preset vehicle moving threshold value condition; when the vehicle moving index meets the preset vehicle moving threshold value condition, vehicle moving reminding information is sent, and the occurrence of accidents or loss caused by the fact that the target vehicle parked in the roadside parking lot influences other passing vehicles to smoothly pass through due to the fact that the owner of the target vehicle is not reminded to move in time can be effectively avoided.
Description
Technical Field
The invention belongs to the technical field of vehicles, and particularly relates to a vehicle moving reminding method, a storage medium and computer equipment applied to a parking lot.
Background
At present, most of technical means for managing the toll parking lot are still to set fixed parking lot entrance and exit blocking facilities on the basis of camera identification, but the method is not fast enough and is not intelligent enough. Along with the increase of the demand in parking area to and the car owner to the appeal of convenient and fast mode of parking, the roadside charge parking area that adopts rifle bolt camera to carry out vehicle identification is more and more, and the roadside parking area can provide unimpeded formula and come in and go out the car and highly reliable's identification technology, when reducing parking area operation cost, can also let the car owner experience convenient and fast efficient impression when the roadside charge parking area parks.
However, in a roadside parking lot that uses a bolt camera for vehicle identification, when a target vehicle is parked in an empty parking space, the following situations may occur: the emergency vehicle borrows the lane, the large vehicle turns the borrowed lane, or other situations needing the borrowed lane. Under the condition, when the target vehicle influences other passing vehicles to pass through smoothly, on one hand, the telephone number left on the target vehicle is usually contacted manually to inform the vehicle owner of moving the vehicle, which is time-consuming and labor-consuming; on the other hand, in order to save time, the owners of some passing vehicles do not contact the owners of the passing vehicles to move the passing vehicles, and the passing vehicles pass through the passing vehicles directly at the risk of possibly scratching the target vehicles, so that accidents or losses are easily caused.
There is a need for a vehicle moving reminding method, a storage medium and a computer device for use in a parking lot.
Disclosure of Invention
The invention aims to solve the technical problem that in the prior art, when a target vehicle parked in a roadside parking lot influences other passing vehicles to pass smoothly, accidents or losses can be caused because the owner of the target vehicle is not reminded to move the vehicle in time.
In view of the above problems, the present invention provides a vehicle moving reminding method, a storage medium, and a computer device applied to a parking lot.
In a first aspect, the invention provides a vehicle moving reminding method applied to a parking lot, which comprises the following steps:
identifying passing vehicles passing through a specified peripheral range of a target vehicle in a parking lot to obtain relevant data of the passing vehicles;
acquiring relevant data of road environment in a specified peripheral range where a passing vehicle passes;
acquiring relevant data of a parking state of a target vehicle in a parking lot;
determining a vehicle moving index of a target vehicle according to the relevant data of the passing vehicle, the relevant data of the road environment and the relevant data of the parking state;
comparing the vehicle moving index with a preset vehicle moving threshold value condition;
and when the vehicle moving index meets the preset vehicle moving threshold value condition, sending vehicle moving reminding information.
According to an embodiment of the present invention, it is preferable that determining a vehicle stealing index of a target vehicle based on the data related to the passing vehicle, the data related to the road environment, and the data related to the parking state includes the steps of:
determining an external factor index according to the relevant data of the passing vehicle;
determining an environmental factor index according to the relevant data of the road environment;
determining a safety factor index according to the relevant data of the parking state;
and determining the vehicle moving index of the target vehicle according to the external factor index, the environmental factor index and the safety factor index.
According to the embodiment of the present invention, preferably, the relevant data of the passing vehicle includes a model, a volume and a driving behavior of the passing vehicle, and the external factor index is determined according to the relevant data of the passing vehicle, including the following steps:
quantifying the vehicle type and the driving behavior of the passing vehicle, and aggregating the quantified vehicle type and driving behavior and the volume of the passing vehicle into an external factor vector;
and determining an external factor index according to the external factor vector.
According to an embodiment of the present invention, preferably, the ambient factor index is determined from the ambient factor vector by the following expression:
wherein the content of the first and second substances,
is the index of the external factors,
the external factor vector (T, V, S) is obtained, T is a quantized value of the model of the passing vehicle, V is the volume of the passing vehicle, and S is a quantized value of the driving behavior of the passing vehicle.
According to an embodiment of the present invention, preferably, the data related to the road environment includes a width and a congestion degree of a road, and the determining of the environmental factor index according to the data related to the road environment includes:
aggregating the width and the crowding degree of the road into an environment factor vector;
and determining an environmental factor index according to the environmental factor vector.
According to an embodiment of the present invention, preferably, the environmental factor index is determined from the environmental factor vector by the following expression:
wherein the content of the first and second substances,
is an index of the environmental factor,
is an environment factor vector (W, P), W is the width of the road, and P is the congestion degree of the road.
According to the embodiment of the present invention, preferably, the data related to the parking state includes a distance and an angle of the target vehicle from a parking lot vehicle line and a volume of the target vehicle, and the determining the safety factor index according to the data related to the parking state includes the following steps:
aggregating the distance and angle of the target vehicle deviating from the parking lot location line and the volume of the target vehicle into a safety factor vector;
and determining a safety factor index according to the safety factor vector.
According to an embodiment of the present invention, a safety factor index is preferably determined from the safety factor vector by the following expression:
wherein the content of the first and second substances,
in order to be an index of the safety factor,
is the safety factor vector (V, L, a), V' is the volume of the target vehicle, L is the distance of the target vehicle from the parking lot line, and a is the angle of the target vehicle from the parking lot line.
According to an embodiment of the present invention, it is preferable that the vehicle moving index of the target vehicle is determined from the outside factor index, the environment factor index, and the safety factor index by the following expression:
wherein Q is a vehicle moving index,
is an ambient factor index, alpha is a weighting coefficient of the ambient factor index,
is an environmental factor index, beta is a weighting coefficient of the environmental factor index,
is the safety factor index, and gamma is the weighting coefficient of the safety factor index.
According to the embodiment of the present invention, preferably, the weighting coefficients of the ambient factor index, the environmental factor index and the safety factor index are determined according to the degree of influence, wherein the relationship among the weighting coefficients of the ambient factor index, the environmental factor index and the safety factor index satisfies the following relation:
α≥β≥γ
wherein alpha is the weighting coefficient of the external factor index, beta is the weighting coefficient of the environment factor index, and gamma is the weighting coefficient of the safety factor index.
In a second aspect, the invention provides a storage medium having stored thereon a computer program which, when executed by a processor, carries out the steps of the above-mentioned method.
In a third aspect, the invention provides a computer device comprising a storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the above method.
Compared with the prior art, one or more embodiments in the above scheme can have the following advantages or beneficial effects:
the vehicle moving reminding method applied to the parking lot determines the vehicle moving index of a target vehicle according to the relevant data of the passing vehicle, the relevant data of the road environment and the relevant data of the parking state; comparing the vehicle moving index with a preset vehicle moving threshold value condition; when the vehicle moving index meets the preset vehicle moving threshold value condition, vehicle moving reminding information is sent, whether each passing vehicle needs to borrow the lane can be predicted quickly, and when the passing vehicle needs to borrow the lane, the vehicle moving reminding information is sent to the vehicle owner of the target vehicle in time, so that the accident situation or loss caused by the fact that the target vehicle parked in a roadside parking lot influences the smooth passing of other passing vehicles and the vehicle owner of the target vehicle cannot be reminded of moving the vehicle in time can be effectively avoided.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by the practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims hereof as well as the appended drawings.
Drawings
The accompanying drawings, which are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate embodiments of the invention and together with the description serve to explain the principles of the invention and not to limit the invention. In the drawings:
FIG. 1 is a flow chart of a vehicle moving reminding method applied to a parking lot according to an embodiment of the invention;
FIG. 2 is a flow chart of a vehicle moving reminding method applied to a parking lot according to an embodiment of the invention;
fig. 3 shows a flowchart of a vehicle moving reminding method applied to a parking lot according to an embodiment of the invention.
Detailed Description
The following detailed description of the embodiments of the present invention will be provided with reference to the drawings and examples, so that how to apply the technical means to solve the technical problems and achieve the technical effects can be fully understood and implemented. It should be noted that, as long as there is no conflict, the embodiments and the features of the embodiments of the present invention may be combined with each other, and the technical solutions formed are within the scope of the present invention.
Example one
In order to solve the technical problems in the prior art, the embodiment of the invention provides a vehicle moving reminding method applied to a parking lot.
Referring to fig. 1, the vehicle moving reminding method applied to the parking lot according to the embodiment of the present invention includes the following steps:
s110, identifying passing vehicles passing through the designated peripheral range of the target vehicle in the parking lot to obtain related data of the passing vehicles;
s120, acquiring relevant data of the road environment in the specified peripheral range where the passing vehicle passes;
s130, acquiring relevant data of the parking state of the target vehicle in the parking lot;
s140, determining an external factor index according to the relevant data of the passing vehicle;
s150, determining an environmental factor index according to the relevant data of the road environment;
s160, determining a safety factor index according to the relevant data of the parking state;
s170, determining a vehicle moving index of the target vehicle according to the external factor index, the environmental factor index and the safety factor index;
s180, judging whether the vehicle moving index meets a preset vehicle moving threshold value condition: if so, sending out vehicle moving reminding information; if not, no response is given.
In particular, the order of step S110, step S120, and step S130 is not limited thereto as long as step S110 precedes step S140, step S120 precedes step S150, and step S130 precedes step S160. The order of step S140, step S150, and step S160 is not limited thereto as long as step S140, step S150, and step S160 precede step S170.
Example two
In order to solve the technical problems in the prior art, embodiments of the present invention provide a vehicle moving reminding method applied to a parking lot based on the first embodiment, wherein the vehicle moving reminding method applied to the parking lot of the embodiments of the present invention improves steps S140, S150, and S160 in the first embodiment.
Referring to fig. 2, the vehicle moving reminding method applied to the parking lot according to the embodiment of the present invention includes the following steps:
s210, identifying passing vehicles passing through the designated peripheral range of the target vehicle in the parking lot to obtain the vehicle type, volume and driving behavior of the passing vehicles;
s220, acquiring the width and the crowdedness of the road in the specified peripheral range where the passing vehicle passes;
s230, acquiring the distance and the angle of the target vehicle in the parking lot deviating from the parking lot vehicle position line and the volume of the target vehicle;
s241, quantifying the vehicle type and the driving behavior of the passing vehicle, and aggregating the quantified vehicle type and driving behavior and the volume of the passing vehicle into an external factor vector;
s242, determining an external factor index according to the external factor vector;
s251, aggregating the width and the crowding degree of the road into an environment factor vector;
s252, determining an environmental factor index according to the environmental factor vector;
s261, aggregating the distance and angle of the target vehicle deviating from the parking lot vehicle position line and the volume of the target vehicle into a safety factor vector;
s262, determining a safety factor index according to the safety factor vector;
and S270, determining the vehicle moving index of the target vehicle according to the external factor index, the environment factor index and the safety factor index.
S280, judging whether the vehicle moving index meets a preset vehicle moving threshold value condition: if so, sending out vehicle moving reminding information; if not, no response is given.
In step S242, an ambient factor index is determined from the ambient factor vector by the following expression:
wherein the content of the first and second substances,
is the index of the external factors,
the external factor vector (T, V, S) is obtained, T is a quantized value of the model of the passing vehicle, V is the volume of the passing vehicle, and S is a quantized value of the driving behavior of the passing vehicle.
In step S252, an environmental factor index is determined from the environmental factor vector by the following expression:
wherein the content of the first and second substances,
is an index of the environmental factor,
is an environment factor vector (W, P), W is the width of the road, and P is the congestion degree of the road.
In step S262, a safety factor index is determined from the safety factor vector by the following expression:
wherein the content of the first and second substances,
in order to be an index of the safety factor,
is the safety factor vector (V, L, a), V' is the volume of the target vehicle, L is the distance of the target vehicle from the parking lot line, and a is the angle of the target vehicle from the parking lot line.
In step S270, the vehicle moving index of the target vehicle is determined from the outside factor index, the environment factor index, and the safety factor index by the following expression:
wherein Q is a vehicle moving index,
is an ambient factor index, alpha is a weighting coefficient of the ambient factor index,
is an environmental factor index, beta is a weighting coefficient of the environmental factor index,
is the safety factor index, and gamma is the weighting coefficient of the safety factor index.
In step S270, the weighting coefficients of the ambient factor index, the environmental factor index and the safety factor index are determined according to the influence degree, wherein the relationship among the weighting coefficients of the ambient factor index, the environmental factor index and the safety factor index satisfies the following relation:
α≥β≥γ
wherein alpha is the weighting coefficient of the external factor index, beta is the weighting coefficient of the environment factor index, and gamma is the weighting coefficient of the safety factor index.
In particular, the weighting coefficients of the ambient factor index, the environmental factor index and the safety factor index of different parking spaces are different, for example, when the parking space A is located in a section with more traffic flow than the parking space B, the weighting coefficients of the ambient factor index and the safety factor index are differentARatio of beta to betaBIs large.
In step S280, the preset vehicle moving threshold condition is that the vehicle moving index is greater than a preset vehicle moving threshold, where the preset vehicle moving threshold is obtained through the following steps:
for each parking space of a roadside parking lot, collecting identification data of passing vehicles in a specified peripheral range of a target vehicle, current road data of a road on which the passing vehicles run and parking data of the target vehicle when the target vehicle is required to be moved each time, and determining a vehicle moving index each time to obtain a plurality of vehicle moving indexes of the parking space when the target vehicle is required to be moved;
and taking the minimum vehicle moving index in the plurality of vehicle moving indexes as a preset vehicle moving threshold value.
In particular, since different parking spaces of the roadside parking lot are located at different positions, one parking space of the roadside parking lot corresponds to one preset vehicle moving threshold value.
The embodiment of the invention can identify the type, size and behavior of other passing vehicles in the appointed peripheral range of the target vehicle by comprehensively controlling the periphery of the target vehicle, comprehensively calculate to obtain an external factor index, quantitatively calculate the identified current road condition (width, length and crowdedness) to obtain an environmental factor index, calculate the moving index by combining the self-safety factor index of the target vehicle, indicate that the behavior of the passing vehicle possibly occupies the parking space of the current stopped target vehicle when the moving index is more than the preset moving threshold value, generate information needing moving and push the information to the user end of the vehicle owner, can automatically remind the vehicle owner of the target vehicle to move in time, does not need the vehicle owner of the passing vehicle to contact with the vehicle owner of the target vehicle, and can effectively avoid roadside parking, the car owner cannot be informed in time to move the car, so that unnecessary accidents or loss are caused.
EXAMPLE III
In order to solve the technical problems in the prior art, the embodiment of the invention provides a vehicle moving reminding method applied to a parking lot, wherein the vehicle moving reminding method applied to the parking lot is applied to the situation of a roadside parking lot provided with a gunlock camera.
Referring to fig. 3, the vehicle moving reminding method applied to the parking lot according to the embodiment of the present invention includes the following steps:
s310, using a gunlock camera to distribute the surrounding environment of the parking space where the target vehicle is located, and determining the distribution and control range of the parking space;
s320, acquiring the type, the driving behavior and the volume of a passing vehicle in the parking space arrangement and control range and the road width and the crowdedness of the road on which the passing vehicle runs according to the video acquired by the gunlock camera;
s330, determining an external factor index according to the type, the driving behavior and the volume of the passing vehicle, and determining an environmental factor index according to the road width and the crowding degree of the road on which the passing vehicle runs;
s340, determining a vehicle moving index of the target vehicle according to the external factor index, the environmental factor index and the safety factor index determined by the target vehicle;
s350, judging whether the vehicle moving index is larger than a preset vehicle moving threshold value: if so, generating vehicle moving information and pushing the vehicle moving information to a vehicle owner of the target vehicle; if not, no response is given.
In step S320, a parking space deployment and control range is determined by using a bolt camera to deploy and control a surrounding environment of a parking space where a target vehicle is located, and the following specific implementation is performed:
considering that the required data needs vehicle information around a related parking space and the condition of a road besides the current parking space information, the monitoring range of the camera of the rifle bolt must be large enough to meet the acquisition of the related data, so the camera of the rifle bolt needs to be deployed at a higher position, and a large area of shielding is not allowed in front of the camera.
In step S320, the model, the driving behavior, and the volume of the passing vehicle and the road width and the degree of congestion of the road on which the passing vehicle runs within the parking space arrangement and control range are obtained according to the video collected by the bolt camera, which is specifically implemented as follows:
the method comprises the steps that a real-time video collected by a camera of a gun camera is analyzed, all passing vehicles passing through a parking space arrangement and control range where a target vehicle is located are marked and associated, the vehicle types of all marked vehicles are identified through license plates of the passing vehicles, and the vehicle types are quantized, wherein for example, when the vehicle types are common civil vehicles, the quantized value of the vehicle types is 1; when the vehicle type is the military police vehicle, the quantization value of the vehicle type is 2; when the vehicle type is an ambulance, the quantization value of the vehicle type is 3; when the model is the fire engine, the quantization value of the model is 4.
The driving behavior includes straight running, backward running, left turn, right turn, and left turn with respect to a road on which the passing vehicle runs, and when the driving behavior is quantified, for example, when the driving behavior is straight running, the quantified value of the driving behavior is 1; when the driving behavior is backward, the quantized value of the driving behavior is 2; when the driving behavior is left turn, the quantized value of the driving behavior is 3; when the driving behavior is right turn, the quantized value of the driving behavior is 4; when the driving behavior is right rear turning, the quantized value of the driving behavior is 5; when the driving behavior is a left backward turn, the quantized value of the driving behavior is 6.
The volume of the passing vehicle is an actual value.
And aggregating the quantized values of the vehicle types, the quantized values of the driving behaviors and the volumes of the passing vehicles to obtain the external factor index vector.
And (3) obtaining the width and the crowding degree of the current lane by combining the arrangement and control analysis of a gunlock camera on the road on which the passing vehicle runs, namely the current lane, wherein the crowding degree represents the percentage of the vehicle area of the current lane in the total area of the lane, and the width and the crowding degree of the current lane are both actual values, and carrying out aggregation calculation on the width and the crowding degree of the current lane to obtain an environment factor vector.
The parking information of the target vehicle parked in the parking space is obtained through real-time image analysis of the gunlock camera, and the safety factor vector of the vehicle is calculated from the distance and the direction angle of the target vehicle deviating from the parking space line of the parking lot relative to the road on which the passing vehicle runs and the three dimensions of the volume of the target vehicle.
Vehicle moving index calculation
The outside factor index, the environment factor index and the safety factor index can be obtained through the outside factor index vector, the environment factor vector and the safety factor vector, and the vehicle moving index is calculated according to the outside factor index, the environment factor index, the safety factor index, the weighting coefficient of the outside factor index, the weighting coefficient of the environment parameter and the weighting coefficient of the safety parameter, wherein the specific values of the weighting coefficient of the outside factor index, the weighting coefficient of the environment parameter and the weighting coefficient of the safety parameter are determined according to the field situation, and different values can be set for different parking spaces in the parking system.
In step S350, the vehicle moving information is pushed to the owner of the target vehicle, which is specifically implemented as follows:
when the fact that the vehicle moving index of a certain time is larger than the preset vehicle moving threshold value of the current parking space is detected, a vehicle moving prompt is automatically generated, a corresponding vehicle owner is found according to the recognized license plate of the parked target vehicle, and a prompt needing vehicle moving is pushed for the vehicle owner.
Here, when the vehicle moving index is greater than the preset vehicle moving threshold value of the current parking space, it is indicated that the target vehicle has influenced the running of a certain passing vehicle, and the vehicle owner of the target vehicle needs to move the vehicle in time to enable the surrounding vehicle to pass smoothly.
In the embodiment of the invention, in the process of identifying the passing vehicle of the target vehicle by adopting the gunlock camera, after the target vehicle is parked in an idle parking space, the situation that an emergency vehicle, a large-sized vehicle or other passing vehicles need to borrow a lane is detected, the corresponding situation is identified according to the behavior characteristics of the passing vehicles, relevant environmental factors are quantized, whether the passing vehicles need to borrow the lane is determined by calculation, if so, vehicle moving information is generated and pushed to a vehicle owner, and the vehicle owner can timely move the vehicle after receiving the relevant information, so that unnecessary accidents or loss caused by the fact that the vehicle owner cannot be timely informed to move the vehicle owner to move the vehicle when the vehicle owner parks at the roadside can be effectively avoided.
Example four
In order to solve the above technical problems in the prior art, an embodiment of the present invention further provides a storage medium.
A storage medium of an embodiment of the invention has stored thereon a computer program which, when executed by a processor, implements the steps of the method in the above-described embodiment.
EXAMPLE five
In order to solve the technical problems in the prior art, the embodiment of the invention also provides computer equipment.
The computer device of the embodiment of the invention comprises a storage medium and a processor, wherein the storage medium stores a computer program, and the computer program realizes the steps of the method when being executed by the processor.
Although the embodiments of the present invention have been described above, the above description is only for the convenience of understanding the present invention, and is not intended to limit the present invention. It will be understood by those skilled in the art that various changes in form and details may be made therein without departing from the spirit and scope of the invention as defined by the appended claims.
Claims (12)
1. The vehicle moving reminding method applied to the parking lot is characterized by comprising the following steps of:
identifying passing vehicles passing through a specified peripheral range of a target vehicle in a parking lot to obtain relevant data of the passing vehicles;
acquiring relevant data of road environment in a specified peripheral range where a passing vehicle passes;
acquiring relevant data of a parking state of a target vehicle in a parking lot;
determining a vehicle moving index of a target vehicle according to the relevant data of the passing vehicle, the relevant data of the road environment and the relevant data of the parking state;
comparing the vehicle moving index with a preset vehicle moving threshold value condition;
when the vehicle moving index meets the preset vehicle moving threshold value condition, sending vehicle moving reminding information,
the preset vehicle moving threshold condition is that the vehicle moving index is larger than a preset vehicle moving threshold, wherein the preset vehicle moving threshold is obtained through the following steps:
for each parking space of a roadside parking lot, collecting identification data of passing vehicles in a specified peripheral range of a target vehicle, current road data of a road on which the passing vehicles run and parking data of the target vehicle when the target vehicle is required to be moved each time, and determining a vehicle moving index each time to obtain a plurality of vehicle moving indexes of the parking space when the target vehicle is required to be moved;
taking the minimum vehicle moving index in the plurality of vehicle moving indexes as a preset vehicle moving threshold value,
wherein the related data of the passing vehicle comprises the type, volume and driving behavior of the passing vehicle,
wherein the relevant data of the road environment includes a width and a congestion degree of a road,
wherein the data related to the parking state includes a distance and an angle of the target vehicle from a parking lot lane and a volume of the target vehicle,
the identifying of the passing vehicle passing through the designated peripheral range of the target vehicle in the parking lot to obtain the relevant data of the passing vehicle and the relevant data of the road environment passing through the designated peripheral range of the passing vehicle comprises the following steps:
the method comprises the steps of controlling the surrounding environment of a parking space where a target vehicle is located, and determining the control range of the parking space;
the method comprises the steps of obtaining the type, the driving behavior and the volume of a passing vehicle in the parking space arrangement and control range and the road width and the crowdedness of the road on which the passing vehicle runs.
2. The method according to claim 1, wherein determining a destination vehicle's index of change based on the data relating to the passing vehicles, the data relating to the road environment and the data relating to the parking status comprises the steps of:
determining an external factor index according to the relevant data of the passing vehicle;
determining an environmental factor index according to the relevant data of the road environment;
determining a safety factor index according to the relevant data of the parking state;
and determining the vehicle moving index of the target vehicle according to the external factor index, the environmental factor index and the safety factor index.
3. The method of claim 2, wherein determining an ambient factor index from data relating to the passing vehicle comprises the steps of:
quantifying the vehicle type and the driving behavior of the passing vehicle, and aggregating the quantified vehicle type and driving behavior and the volume of the passing vehicle into an external factor vector;
and determining an external factor index according to the external factor vector.
4. The method of claim 3, wherein the ambient factor index is determined from the ambient factor vector by the expression:
wherein the content of the first and second substances,
is the index of the external factors,
the external factor vector (T, V, S) is obtained, T is a quantized value of the model of the passing vehicle, V is the volume of the passing vehicle, and S is a quantized value of the driving behavior of the passing vehicle.
5. The method according to claim 2, wherein determining an environmental factor index from the data relating to the road environment comprises the steps of:
aggregating the width and the crowding degree of the road into an environment factor vector;
and determining an environmental factor index according to the environmental factor vector.
6. The method of claim 5, wherein the environmental factor index is determined from the environmental factor vector by the expression:
wherein the content of the first and second substances,
is an index of the environmental factor,
is an environment factor vector (W, P), W is the width of the road, and P is the congestion degree of the road.
7. The method according to claim 2, characterized in that determining a safety factor index from the data relating to the parking status comprises the steps of:
aggregating the distance and angle of the target vehicle deviating from the parking lot location line and the volume of the target vehicle into a safety factor vector;
and determining a safety factor index according to the safety factor vector.
8. The method of claim 7, wherein a safety factor index is determined from the safety factor vector by the expression:
wherein the content of the first and second substances,
in order to be an index of the safety factor,
is a safety factor vector (V, L, A), V' is the volume of the target vehicle, L isThe distance of the target vehicle from the parking lot line, and A is the angle of the target vehicle from the parking lot line.
9. The method according to claim 2, characterized in that the target vehicle's index of vehicle moving is determined from the ambient factor index, the environmental factor index and the safety factor index by the following expression:
wherein Q is a vehicle moving index,
is an ambient factor index, alpha is a weighting coefficient of the ambient factor index,
is an environmental factor index, beta is a weighting coefficient of the environmental factor index,
is the safety factor index, and gamma is the weighting coefficient of the safety factor index.
10. The method according to claim 9, wherein the weighting coefficients of the ambient factor index, the environmental factor index and the safety factor index are determined according to the degree of influence, wherein the relationship among the weighting coefficients of the ambient factor index, the environmental factor index and the safety factor index satisfies the following relationship:
α≥β≥γ
wherein alpha is the weighting coefficient of the external factor index, beta is the weighting coefficient of the environment factor index, and gamma is the weighting coefficient of the safety factor index.
11. A storage medium having a computer program stored thereon, wherein the computer program, when executed by a processor, implements the steps of the method according to any one of claims 1 to 10.
12. A computer device comprising a storage medium and a processor, characterized in that the storage medium has stored thereon a computer program which, when executed by the processor, carries out the steps of the method according to any one of claims 1 to 10.
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