CN103594000A - Parking space search platform based on mobile network services - Google Patents
Parking space search platform based on mobile network services Download PDFInfo
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Abstract
The invention belongs to the technical field of mobile network services, and relates to a parking space search platform based on mobile network services. The parking space search platform comprises an information transmitting end, a server end and an information receiving end. A server of the server end marks acquired information and quantifies the information as dimension information amount of limit learning, real-time learning prediction is conducted according to the quantified dimension information, and information acquisition and marking are mainly divided into three large categories. According to a search method, parking space information can be transmitted to a smart phone terminal of a car owner in time according to the actual environment, the car owner can acquire the parking space information in time, and therefore the inconvenience caused by looking for parking space can be reduced.
Description
Affiliated technical field
The invention belongs to mobile network service technical field, relate to a kind of parking stall search platform.
Background technology
Along with the development of production technology, increasing people has had the automobile of oneself, yet regardless of being out on tours festivals or holidays or visiting friends and relatives, finds parking stall and usually to many car owners, make troubles.Network has incorporated the every aspect of daily life gradually, and network is undoubtedly a developing direction that can realize with the combination on search parking stall.Yet at present in actual applications, some existing schemes are too numerous and diverse, and needed equipment is too various, and realize more difficult.Such as certain discovery systems, it comprises at least one parking space information collecting unit, at least one parking stall inquiry book server, at least one communication controler and at least one terminal device, parking space information collecting unit is connected with communication controler by communication media, this has brought many inconvenience to car owner, and car owner need to install a communication facilities separately to obtain parking space number certificate.Conventionally, car owner needs oneself to arrive concrete parking area, then oneself finds idle parking stall or needs artificial guide to obtain parking stall.Car owner oneself can not obtain the specifying information of parking stall in advance like this, does not also know which place can stop, and to trip, brings no small trouble.
Summary of the invention
The object of the invention is to overcome the above-mentioned deficiency of prior art, a kind of parking stall search platform is provided.Searching method provided by the invention can send to the information on parking stall on car owner's intelligent mobile phone terminal timely according to actual environment, the information that makes car owner obtain timely parking stall finds by reducing the inconvenience that bring parking stall, do not need car owner oneself to find parking stall, can not only make car owner obtain the information on actual environment parking stall, also can reduce the time of finding parking stall.Technical scheme of the present invention is as follows:
A parking stall search platform for mobile network service, comprises information transmitting terminal, server end, information receiving end, wherein,
Information transmitting terminal:
Information acquisition person is mainly the car owner who has carried smart mobile phone, and car owner itself is also the user of information in fact, and another part is volunteer, and they provide initial components of system as directed data, comprises without camera supervision and has the fixedly parking lot data on parking stall; User or volunteer as information acquisition person, in the time of information search, the application on mobile phone, first according to mobile phone locating information, is determined user's position, which kind of information is the information that user gathers be as required, select corresponding information acquisition interface, only need to or input some numerals by select button, can complete the input of information, the information gathering comprises Parking Fee, the number of parking stall, the density degree of parking area, near hotels.
Server end:
Server carries out mark to gathered information, information quantization is become to the amount of dimensional information one by one of limit study, and according to the dimension letter quantizing
Breath carries out real-time study prediction, and the collection of information and mark are mainly divided into three large classes to carry out, and method is as follows:
From large parking lot, curbside, some have and in concrete Parking Stall number and some community and service area, have the fixedly information in stop of several object region the first kind, method is: the parking space number certificate in this type of region is divided into fewer, many and a lot of three classes, to each class, give a dimension, the corresponding corresponding dimension of the information of collection is carried out to mark; Remaining other dimensions can be by the corresponding input of other information dimension, people's current density of parking lot periphery, according to dimension corresponding to height, by parking stall expense according to dimensions free and that height is corresponding different or in same dimension by different numerals, server carries out these data the storage of limit study and calculates and estimate, by collection and processing to different time sections multisample data, upgrade the model of corresponding limit learning algorithm, then the data of acquisition are presented to the car owner that need to search for parking stall by smart mobile phone interface again.
Equations of The Second Kind comes from some parking lots and only has parking area but there is no the information of stop of several object curbside and community, the information gathering is carried out to corresponding labeled bracketing, this type of is marked with stop of several object estimated value, method is: user stop after according to the observation to surrounding environment, according to different dimension input parking lot informations, surrounding is rather spacious, be not spacious, very narrow what does not have other corresponding different respectively dimensions of stopping, and introduce new dimension and carry out parking stall mark, new dimension is stop of several object estimated value, user estimates that the region residual energy at place stops how many cars, this corresponding quantity of information also mark is entered in the sample of this kind of classification, according to user's judgement, according to the number that can park cars, the dimension of described new introducing is carried out to mark, server carries out these data the storage of limit study and calculates and estimate, by collection and processing to different time sections multisample data, upgrade the model of corresponding limit learning algorithm, then the data of acquisition are presented to the car owner that need to search for parking stall by smart mobile phone interface again.
The 3rd class comes from the collection of some other information: car owner travels on some roads, the parking area running into does not identify in original system, by inquiry, do not have yet, car owner uploads the own first-hand information obtaining, along with increasing car owner participates in into, the information of uploading in this region will get more and more like this, final server is classified by the method that the method for limit study is crossed again mark to the information exchange of uploading, then train, the model of final updated parameter, give and need the car owner who searches for parking stall that reliable data message is provided later.
Information receiving end:
The needed parking space information of user will initiatively provide the mode of information service and user oneself inquiry specific demand to be presented on mobile phone interface with server.
The most outstanding feature of the present invention is the Real-Time Sharing that has realized parking space information, can provide timely to user, and dynamic information, to improve user's quality of life, can effectively solve the problem that parking stall difficulty is looked in existing trip.The present invention takes full advantage of sensor function and the positioning function of smart mobile phone, and information is provided in time, and accurately, user is simple to operate.The powerful calculating ability of utilizing cloud computing to provide, effectively analyzes the data of collecting by the method for machine learning, and prediction is convenient to offer to greatest extent user.Analysis result can also, for improving traffic administration, improve communications and transportation speed etc.Designed search platform also can pack onboard system into, make the automobile that onboard system is housed just can obtain parking space information by onboard system, make to go on a journey more convenient, and the search platform that packs onboard system into can make automobile attach feature more powerful, the economic benefit of bringing is better.
Accompanying drawing explanation
Fig. 1 application platform general frame figure.
Fig. 2 information search surface chart.
The schematic diagram of Fig. 3 limit study.
Embodiment
The present invention proposes does not a kind ofly need car owner to find the search platform that parking stall just can effectively obtain parking space information.Below in conjunction with embodiment and accompanying drawing, the present invention will be described.
One embodiment of the present of invention are: a kind of application of customer end adopted stand-alone development on smart mobile phone, this application can be used simultaneously on mobile phone and onboard system, and binds with the phone number using when user registers.And in the place that has mobile network or wife to cover, can realize the transmission of data, at server end, by commercial cloud computing platform, realize server capability as Windows Azues, these business cloud platforms provide cost performance high cloud storage, the work energy that cloud computing and sql inquire about.Parking stall is especially nervous in festivals or holidays, and the scalability of cloud computing platform can well meet this class demand, at ordinary times can be relatively few rent cloud resource, when having demand, apply for more cloud computing resources.
Data acquisition of the present invention is different from other patents, and to curbside and residential communities, these many times do not have parking stall line do not have camera head monitor parking space number object region to be difficult to provide effective estimation yet or just there is no such function at all to some patents in the past.And the present invention can provide perfect data, data acquisition modes of the present invention has extraordinary Semi-intelligent Modular function.Data acquisition of the present invention is not only by original internet technique and is obtained the fixing parking stall number of general large parking lot, and the more important thing is that each user may be an informant, carries out the transmission of parking space number certificate.Such as having found by the search platform being arranged on its smart mobile phone the parking stall needing as a car owner, and this time, car owner found after parking, much other people also stop, the number on parking stall is fewer and feweri, this time, car owner just can send to Cloud Server end by present situation by mobile phone, make information real-time change, can, so that data are upgraded rapidly, than general patent data, upgrade more fast like this.When car owner travels on certain road, find can stop somewhere, and this place does not have camera there is no stop line yet, is not connected with network yet, some patents in the past can not solve the collection information on these parking stalls.And the present invention is because search platform is to install on smart mobile phone, smart mobile phone has positioning function, as long as car owner opens location, the parking space information of in the past omitting just can send to Cloud Server end.When car owner enters residential quarter, in community, there are how many parking stalls almost can not add up, but after a car owner is stopped, he can send to Cloud Server end by smart mobile phone by whether having spacious position to stop around own, and such data acquisition modes is that general patent can not be compared.While similarly stopping on some side, street, having how many parking stalls is also what not determine, but car owner can pass through smart mobile phone equally, by the roughly parking stall situation in own current region of living in such as whether vehicle many, whether have vacant position to stop, so instant data send Cloud Server end to.Even to generally thering is fixed number parking space number object large parking lot, although can obtain the information that parking stall has or not by the Security Personnel before parking lot or display board, but for a car owner, know that such information needs oneself to be driven to parking lot and just can know, and the most important thing is when car owner arrives, possible parking stall has not had.And the present invention is by real-time Data Update, allow car owner as much as possible participate in into, some car owners many times do not need to be driven near parking lot and just can not obtain the information on parking stall so, and institute's acquired information is real-time, rapider than the display board information in parking lot.Meanwhile, for some parking lots, do not have personal management there is no computer monitor yet but really have fixedly parking stall.When car owner searches for parking stall, such parking lot data acquisition is exactly each car owner itself, the car owner who participates in provides data by smart mobile phone, allow the information on parking stall send to Cloud Server end, effective parking space information be not only provided but also parking bit position can be provided, making to need the car owner on parking stall to save the trouble on Nei Zhao parking stall, parking lot.
The present invention by being that user is also that information acquisition sender's user sends to server end by the information of collection one by one, be quantized into the amount of dimensional information one by one of limit study, at search platform, utilize the power of cloud computing, the dimensional information of quantification is learnt to prediction, result is sent to user's receiving end platform.The collection forecast analysis of the present invention to information, the method that mainly adopts the limit to learn, the method is a kind of use, effective single hidden layer feedforward neural network SLFNS learning algorithm of being simple and easy to.Compare general neural network algorithm, limit learning method is not only processed the classification of mass data, feature extraction, Feature Selection, tagsort can be very rapidly and also the number of plies few, need not adjust the parameter of network layer inside, only need to adjust the parameter being associated with output neuron node.As shown in Figure 1, information transmitter sends the information (vacant parking stall number, vacant parking area, the related fields such as Car park payment) of collecting as shown in Figure 2 to framework on smart mobile phone interface.Smart mobile phone uploads to far-end server by information, and after far-end server reception information, the parking space information carrying according to its data storehouse and the information that out of Memory sender provides in real time, construct dynamic parking space information distribution plan.Receiving end user can inquire about real-time information and obtain fast parking stall.Server end also can push some parking space informations to user according to user's request, parking area as the shortest in distance users, the most cheap parking stall etc. of charging.
Now this search platform functions is described below:
Information transmitting terminal:
Information acquisition mode: smart mobile phone now is all being equipped with various sensors, can obtain the humidity of air, temperature, the concentration of dust particle, surrounding environment noisy etc.The information of smart phone user collection comprises Parking Fee, the number of parking stall, the density degree of parking area, near hotels etc.By these two kinds of hybrid-type information, collect, information is sent on server.
Information acquisition person: information acquisition person of the present invention is mainly the car owner who has carried smart mobile phone, car owner itself is also the user of information in fact, another part is volunteer, and they provide initial components of system as directed data as having the fixedly parking lot on parking stall without camera supervision.
Car owner or volunteer as information acquisition person, in the time of information search, application on mobile phone is first according to mobile phone locating information, determine user's position, which kind of information is the information that user gathers be as required, select corresponding information acquisition interface, only need to or input some numerals by select button, can complete the input of information.
Server end:
1 Data Collection and processing
The parking space information of collecting is mainly to derive from three aspects:, first is original fixing parking lot, because having computer, turnover parking lot controls, the overall number on parking stall, parking stall residue is how many, the approximate location on parking stall even, can be more conveniently by near display board inquiry parking lot or by Security Personnel or the acquisition and can obtain immediately the number on how many vacant parking stalls such as network.Second is the parking space information of road curbside or residential communities, and this needs information acquisition person's information that provides at any time to obtain image information upload server such as clapping picture by street.The 3rd is that some large parking lot or parking area but do not have Security Personnel without display board without camera yet yet, and this part region has fixing parking stall to need volunteer that parking space number certificate is provided.Some other supplementary comprises weather, environment, and crowded grade also can be used as some customizing messages inquiry.We are optimized and process the information data of input, extract data characteristics, provide the data of real-time update to send to user.
The checking of 2 effectiveness of information
Whether the judgement of collected data being carried out to effectiveness of information at server end mainly provides a kind of user of information more than the user of another kind of information is provided within a bit of time based on obtained data, the feedback of the information that some other user provides this user and by historical record in the past, the method for learning by the limit obtains probability and judges.
3 forecast analysis
By the collection of data and the checking of validity, the master database of system is perfect.System acceptance need to obtain the user's of data request, by data analysis, predicts that current parking stall and surrounding enviroment send the data to the user who needs.The forecast analysis of this system, even without obtaining nearest a period of time information, or run into some accidents such as weather reason causes some parking stall, curbside ponding, also can provide rapidly effective information to make user obtain the information on parking stall by limit learning method.The ultimate principle of limit study is described below: extreme learning machine ELM is a kind of use, effective single hidden layer feedforward neural network SLFNs learning algorithm of being simple and easy to. and traditional Learning Algorithm (as BP algorithm) need to artificially arrange a large amount of network training parameters, and being easy to produce locally optimal solution. extreme learning machine only need to arrange the hidden node number of network, in algorithm implementation, do not need to adjust the input weights of network and the biasing of hidden unit, and produce unique optimum solution, therefore have advantages of that pace of learning is fast and Generalization Capability good.For the individual sample (x arbitrarily of N
i, t
i) ∈ R
d* R
m, the mathematical model expression formula that single hidden layer feedforward network has L concealed nodes is as follows:
Here β
ithe output parameter of hidden layer, g
i(x
i) be the excitation function of hidden layer, b
iit is input offset parameter respective value
If the performance of hiding feedforward network single is enough good, and the corresponding result of the N of an output sample must be 0 error,
so just exist parameter (a
i, b
i) and β
imake
Here O
jthe result obtaining through computing, and t
jbe original mark result corresponding to each sample, if the two is equal, the result of prediction is best so.It is H β=T that an above N equation is write as matrix form.Wherein
The F here (x) is O (x), and just, in general function representation, custom is explained with F (x).The parameter of limit learning algorithm
renewal expression formula be
here H
+=(H
th)
-1h
t.The data that gather are mainly divided into three large classes and carry out mark: the first kind is from large parking lot, some have curbside and in concrete Parking Stall number and some community and service area, have fixedly stop of several object region.These local we can be to the data that the gather correspondence markings of classifying, then correspond in the dimension of input sample, such as being labeled as 1 for working as 50, parking stall in large parking lot in large parking lot with interior (fewer) our first dimension of corresponding input sample, we are labeled as 1 corresponding to second dimension inputting sample 50～100 parking stalls (or many), have 100 above (a lot) our the 3rd dimensions of corresponding input sample to be labeled as 1 in large parking lot.Remaining other dimensions can be by the corresponding input of other information dimension, and such as people's current density of parking lot periphery, just corresponding fourth dimension and the 5th dimension are labeled as respectively 1 and 2 successively.6 DOF and 7 degree of freedom and octuple are labeled as parking stall expense.The free 6 DOF that is labeled as is 1, and the 7 degree of freedom of 2 yuan to 5 yuan per hour is labeled as the octuple of 1,5 yuan to 10 yuan and is labeled as 1.It is that 1,12 to 18 mark the 9th dimension 2,18 to 24: the 9th dimensions are labeled as at 3,0 o'clock and are labeled as 4 to 8: the 9th dimensions that the collection of each time period data is also labeled as respectively morning 8～12 the 9th dimension.The dimension that the present invention temporarily drafts input sample is 100 dimensions, if other information do not have, other dimensions are just all labeled as 0.The input of sample can be written as x=[100101001....0 so] such input shows that some car owners are providing between 8 o'clock to the 12 o'clock morning in somewhere in 50 parking stalls of a large parking lot, periphery stream of people density ratio is higher, the sample data of Free parking.If quantity of information increases in the future, as long as dimension is increased and just can.Equally for curbside, the parking space information that has concrete number in community and service area in such a manner mark carries out, the interface that car owner passes through to eject is by these input informations, by smart mobile phone, upload onto the server, server carries out these data the storage of limit study and calculates and estimate.The collection of certain sample is inadequate, and incipient time, a plurality of people's different time sections Data Collections, learn by the limit, more the parameter of new data.Corresponding output be mainly the parking number on parking stall and parking stall price number.Equations of The Second Kind comes from some parking lots and curbside and community and only has parking area but there is no stop of several object.These are local, and we also can carry out corresponding labeled bracketing to the information gathering.Just this class mark and concrete parking stall can find out that how many stop of several objects are different.If mark the present invention of this class is divided into after a car owner stops, find that surrounding is rather spacious, first dimension of corresponding input sample is labeled as 1, if not being spacious, corresponding second dimension is labeled as 2, if accordingly very narrow, do not have the corresponding third dimension degree in place of what other parking can be labeled as 3, but because the mark of above three classes is fuzzyyer, so introduce the mark on the 4th corresponding parking stall, if the region residual energy that car owner can judge place according to the experience of oneself is stopped how many cars, the present invention enters this corresponding quantity of information also mark in the sample of this kind of classification, contribute to like this judgement.If car owner judges, can stop 100 above (a lot), fourth dimension is labeled as 1, if 50 to 100 fourth dimensions are labeled as 2, if 50 be labeled as 3 with interior fourth dimension.Otherwise fourth dimension is labeled as 0.The mark of some other corresponding informance has the mark on fixing parking stall similar with large parking lot.Such as x=[1 00310100 1....0] represent that some car owners provide people's current density higher in 8 o'clock to the 12 o'clock morning in somewhere, although Free parking surrounding is rather spacious, can only probably can also stop 50 cars with interior sample data.Same car owner uploads onto the server these information by the ejection interface of smart mobile phone, server is processed these information, upgrade the model of corresponding limit learning algorithm, then the data of acquisition are presented to the car owner who needs inquiry by smart mobile phone interface again.The 3rd class comes from the collection of some other information.Such as car owner travels on some roads, the parking area running into does not identify in original system, by inquiry, does not have yet, and this time, car owner can upload the own first-hand information that obtain.Along with increasing car owner participates in into, the information of uploading in this region will get more and more like this, final server is classified by the method that the method for limit study is crossed again mark to the information exchange of uploading, then train, the model of final updated parameter, gives and needs the car owner of inquiry that reliable data message is provided later.Above three major types is inputted after to data separation, by model, is predicted all and is carried out in real time.Even some time do not have the input of new data sample to upgrade, rely on original data information also can provide extraordinary predicting the outcome.And the limit to learn the speed of this model prediction analytical calculation quite fast, even the numerous predictions of also can classifying rapidly of reference sample number to input in the same time period.
4 credit systems and encouragement and penalty
Server end is used the user of this system and the binding of user's cell-phone number to each, all has a basic credit level.To providing the user of effective real information to provide, reward such as new song recommendation weekly, joke every day, Holiland coupons, the little health prompt of diet etc., credit level can raise gradually simultaneously.And to the user of deceptive information is provided, credit level can decline gradually, the information that server end provides the lower user of credit level simultaneously is not done main information processing.Credit level drops to a certain degree can be stopped and uses this system one week, while needing afterwards again to apply for using this system, credit level reverts to basic credit level, if but continue to provide deceptive information, credit level declines again, be stopped and use this system two weeks, by that analogy.
5 servers are realized
Server mainly comprises three partial contents: data are preserved, and data analysis and inquiry service, realize server capability by windows cloud computing platform.Windows Azues provides corresponding solution, corresponds to respectively cloud storage, cloud computing and sql inquiry.An important feature of parking stall inquiry system is that it is different in different time sections to the requirement of system resource.Demand festivals or holidays to parking stall, mornings 8,9 point, at 6,7 in evening can be more in the majority and other times section is can demand less.The scalability of cloud computing platform can well meet this class demand.System can be rented less cloud resource at ordinary times, applies for more cloud computing resources when having demand.
6 information receiving ends:
The needed parking space information of user will initiatively provide the mode of information service and user oneself inquiry specific demand to be presented on mobile phone interface with server, and encourages user that parking space information is provided when user uses.
Active mode
User has registered the service that account is brought into use system, when user is during in a certain position, relevant parking space information will timed sending to user's smart mobile phone.
Passive mode
The information such as user can be according to the demand inquiry parking space information of oneself, and such as which parking stall is nearest, which parking stall expense is the most cheap, near the food and drink amusement in parking stall.
Claims (2)
1. the parking stall search platform based on mobile network service, comprises information transmitting terminal, server end, information receiving end, wherein,
Information transmitting terminal:
Information acquisition person is mainly the car owner who has carried smart mobile phone, and car owner itself is also the user of information in fact, and another part is volunteer, and they provide initial components of system as directed data, comprises without camera supervision and has the fixedly parking lot data on parking stall; User or volunteer as information acquisition person, in the time of information search, the application on mobile phone, first according to mobile phone locating information, is determined user's position, which kind of information is the information that user gathers be as required, select corresponding information acquisition interface, only need to or input some numerals by select button, can complete the input of information, the information gathering comprises Parking Fee, the number of parking stall, the density degree of parking area, near hotels.
Server end:
Server carries out mark to gathered information, information quantization is become to the amount of dimensional information one by one of limit study, and according to the dimension letter quantizing
Breath carries out real-time study prediction, and the collection of information and mark are mainly divided into three large classes to carry out, and method is as follows:
From large parking lot, curbside, some have and in concrete Parking Stall number and some community and service area, have the fixedly information in stop of several object region the first kind, method is: the parking space number certificate in this type of region is divided into fewer, many and a lot of three classes, to each class, give a dimension, the corresponding corresponding dimension of the information of collection is carried out to mark; Remaining other dimensions can be by the corresponding input of other information dimension, people's current density of parking lot periphery, according to dimension corresponding to height, by parking stall expense according to dimensions free and that height is corresponding different or in same dimension by different numerals, server carries out these data the storage of limit study and calculates and estimate, by collection and processing to different time sections multisample data, upgrade the model of corresponding limit learning algorithm, then the data of acquisition are presented to the car owner that need to search for parking stall by smart mobile phone interface again.
Equations of The Second Kind comes from some parking lots and only has parking area but there is no the information of stop of several object curbside and community, the information gathering is carried out to corresponding labeled bracketing, this type of is marked with stop of several object estimated value, method is: user stop after according to the observation to surrounding environment, according to different dimension input parking lot informations, surrounding is rather spacious, be not spacious, very narrow what does not have other corresponding different respectively dimensions of stopping, and introduce new dimension and carry out parking stall mark, new dimension is stop of several object estimated value, user estimates that the region residual energy at place stops how many cars, this corresponding quantity of information also mark is entered in the sample of this kind of classification, according to user's judgement, according to the number that can park cars, the dimension of described new introducing is carried out to mark, server carries out these data the storage of limit study and calculates and estimate, by collection and processing to different time sections multisample data, upgrade the model of corresponding limit learning algorithm, then the data of acquisition are presented to the car owner that need to search for parking stall by smart mobile phone interface again.
The 3rd class comes from the collection of some other information: car owner travels on some roads, the parking area running into does not identify in original system, by inquiry, do not have yet, car owner uploads the own first-hand information obtaining, along with increasing car owner participates in into, the information of uploading in this region will get more and more like this, final server is classified by the method that the method for limit study is crossed again mark to the information exchange of uploading, then train, the model of final updated parameter, give and need the car owner who searches for parking stall that reliable data message is provided later.
Information receiving end:
The needed parking space information of user will initiatively provide the mode of information service and user oneself inquiry specific demand to be presented on mobile phone interface with server.
2. parking stall according to claim 1 search platform, it is characterized in that, information receiving end is divided into two kinds of modes: active mode, and user has registered the service that account is brought into use system, when user is during in a certain position, relevant parking space information will timed sending to user's smart mobile phone; Passive mode, user can be according to the demand inquiry parking space information of oneself, and query contents comprises which parking stall is nearest, and which parking stall expense is the most cheap, near food and drink entertainment information parking stall.
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| CN106297375A (en) * | 2015-06-24 | 2017-01-04 | 奥迪股份公司 | For processing the system and method for information and being equipped with the vehicle of this system |
| CN106327909A (en) * | 2016-08-25 | 2017-01-11 | 上海青橙实业有限公司 | Information sharing method and mobile terminal system |
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| CN112164244A (en) * | 2020-09-29 | 2021-01-01 | 长城汽车股份有限公司 | Parking control method and device |
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