CN115691203A - Urban road berth induction method, device, equipment and readable storage medium - Google Patents
Urban road berth induction method, device, equipment and readable storage medium Download PDFInfo
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Abstract
The invention provides an urban road berth guidance method, device, equipment and readable storage medium, which relate to the technical field of computers and comprise the steps of obtaining vehicle information of a vehicle owner to be guided; acquiring first information according to the vehicle information; building a parking decision tree; acquiring current urban road traffic information and acquiring complete information of a guidance event; calculating the second information, the third information and the parking decision tree based on a Dijkstra algorithm to obtain an optimal path; and according to the optimal path, parking guidance is carried out on the owner to be guided, and updating is carried out according to the real-time road traffic current situation. The invention has the advantages that the traffic efficiency of the owner user is effectively improved, the traffic jam generated by finding the parking space is reasonably adjusted through the guidance system, and the parking space reservation of the parking lot is made in advance according to the behavior habit of the owner, so that urban road operators can more reasonably arrange the construction and use of the parking space.
Description
Technical Field
The invention relates to the technical field of computers, in particular to an urban road berth induction method, device and equipment and a readable storage medium.
Background
With the increasing of the automobile keeping quantity year by year, the problem of difficult parking is increasingly highlighted, and the current guidance systems for many urban berths simply display the berth information and the rest positions in a list manner when performing berth guidance, and then a user subjectively selects a corresponding berth place and performs point-to-point navigation after selection.
The prior art has at least some problems as follows: the parking information only can show the remaining position and the position information simply, has no related additional information, and cannot assist the user in selecting the parking position; the berth information is only purely displayed, does not have a real induction function, and can be selected only by virtue of the subjective consciousness of a user; the parking information only comes from the parking lot, reasonable induction cannot be performed according to the traffic condition of the surrounding roads, and even if the traffic jam near the target parking lot cannot pass smoothly, all users are still guided to the target parking lot, so that the jam condition is more serious.
Therefore, the efficient and reasonable solution to the parking problem gradually becomes an important link for the construction of the smart city.
Disclosure of Invention
The present invention aims to provide an urban road berth guidance method, device, equipment and readable storage medium to improve the above problems. In order to achieve the purpose, the technical scheme adopted by the invention is as follows:
in a first aspect, the present application provides an urban road berth guidance method, including:
acquiring vehicle information of a vehicle owner to be induced, wherein the vehicle information of the vehicle owner to be induced comprises registration information, license plate information, vehicle type information, color information and brand information of the vehicle owner;
acquiring first information according to the vehicle information, wherein the first information comprises all parking history records of the license plate information corresponding to the vehicle information; building a parking decision tree according to the first information;
acquiring second information and third information, wherein the second information comprises current urban road traffic information, and the third information comprises complete information of an acquired induced event;
calculating the second information, the third information and the parking decision tree based on a Dijkstra algorithm to obtain an optimal path;
and according to the optimal path, parking guidance is carried out on the vehicle owner to be guided, and updating is carried out according to the real-time road traffic current situation.
Preferably, the obtaining of the first information according to the vehicle information includes all parking history records of the license plate information corresponding to the vehicle information; according to the first information, building a parking decision tree, wherein the parking decision tree comprises the following steps:
all the parking history records comprise parking position information, latitude and longitude information of a parking position, time points of entering and exiting a parking place and parking duration;
determining the parking positions of the vehicles according to each parking history record, and supplementing feature tags, wherein the feature tags comprise parking position feature information, parking position space dimension information, parking position time dimension information and natural dimension information;
building a parking decision tree through the feature labels;
and storing the parking decision tree into a storage medium, and updating the parking decision tree in real time.
Preferably, the obtaining of the second information and the third information includes obtaining complete information of the induced event, where the obtaining of the second information includes obtaining current urban road traffic information, and the obtaining of the third information includes:
the third information comprises complete information of an acquired induced event, wherein the complete information of the induced event comprises position information, date information, weather information, building information around a destination and berth characteristic information around the destination; acquiring fourth information according to the position information and preset distance range information, wherein the fourth information comprises all idle parking space information and parking space information around a destination;
calculating the distance from the position where the idle berth is located to the destination according to each idle berth information in the third information and the fourth information;
sequencing the distances from the idle berth to the destination from long to short, and scoring walking duration to obtain a first scoring result;
and calculating according to the third information, the fourth information and the parking decision tree to obtain the probability of the vehicle owner to be induced to park in the current parking space, and scoring the parking tendency of the probability to obtain a second scoring result.
Preferably, the calculating the second information, the third information and the parking decision tree based on dijkstra algorithm to obtain an optimal path includes:
constructing a road congestion weight value map according to the third information, the fourth information and the second information;
calculating to obtain an optimal path based on a Dijkstra algorithm and the road congestion weight value graph;
according to the optimal path, scoring is carried out on the traffic passing condition of each berth to obtain a third scoring result;
and calculating according to the first scoring result, the second scoring result, the third scoring result and a preset weight value to obtain a total scoring result, and performing parking guidance on the owner to be guided according to the total scoring result.
In a second aspect, the present application further provides an urban road berth guidance device, including a first obtaining module, a constructing module, a second obtaining module, a calculating module, and an updating module, wherein:
a first obtaining module: the system comprises a server and a server, wherein the server is used for acquiring vehicle information of a vehicle owner to be induced, and the vehicle information of the vehicle owner to be induced comprises registration information, license plate information, vehicle type information, color information and brand information of the vehicle owner;
constructing a module: the system comprises a vehicle information acquisition unit, a license plate information acquisition unit and a vehicle information acquisition unit, wherein the vehicle information acquisition unit is used for acquiring first information according to the vehicle information, and the first information comprises all parking history records of the license plate information corresponding to the vehicle information; building a parking decision tree according to the first information;
a second obtaining module: the system comprises a first information acquisition module, a second information acquisition module, a third information acquisition module and a display module, wherein the first information acquisition module is used for acquiring first information and second information, the first information comprises current urban road traffic information, and the third information comprises complete information for acquiring induced events;
a calculation module: the parking decision tree module is used for calculating the second information, the third information and the parking decision tree based on Dijkstra algorithm to obtain an optimal path;
an updating module: and the system is used for parking guidance of the vehicle owner to be guided according to the optimal path and updating according to the real-time road traffic current situation.
In a third aspect, the present application further provides an urban road berth guidance device, including:
a memory for storing a computer program;
a processor for implementing the steps of the urban road berth induction method when executing the computer program.
In a fourth aspect, the present application further provides a readable storage medium, on which a computer program is stored, where the computer program, when executed by a processor, implements the steps of the above-mentioned urban road based berth guidance method.
The invention has the beneficial effects that: the invention combs out the parking behavior and parking preference of the user through the deep analysis and processing of the data and continuous learning; meanwhile, according to the traffic condition of urban roads, the real-time congestion condition of the roads is calculated through continuous learning, different parking recommendations of users are given according to the parking position condition of the roads and the parking position condition of a parking lot, the optimal route is given, and reasonable and useful parking position guidance is really achieved instead of simple display of redundant position information.
The invention effectively improves the passing efficiency of the vehicle owner user, reasonably regulates the traffic jam caused by searching the parking space through the induction system, and can make parking space reservation of the parking lot in advance according to the behavior habit of the vehicle owner along with the deepening of the use degree of the user, so that urban road operators can more reasonably arrange the construction and use of the parking space. And urban traffic jam and energy waste are reduced.
The invention provides a method for intelligently analyzing optimal parking space information and performing multi-dimensional induction based on the characteristics of urban roads to optimize the use of the urban parking space and relieve the problems of road congestion, energy waste, air pollution and the like caused by difficult and blind parking space searching.
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 embodiments 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
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings needed to be used in the embodiments will be briefly described below, it should be understood that the following drawings only illustrate some embodiments of the present invention and therefore should not be considered as limiting the scope, and for those skilled in the art, other related drawings can be obtained according to the drawings without inventive efforts.
FIG. 1 is a schematic flow chart of an urban road berth induction method according to an embodiment of the present invention;
FIG. 2 is a schematic structural diagram of an urban road berth guidance device according to an embodiment of the present invention;
fig. 3 is a schematic structural view of an urban road berth guidance device according to an embodiment of the present invention.
In the figure, 701, a first acquisition module; 702. building a module; 7021. an obtaining unit; 7022. a determination unit; 7023. a first building element; 7024. a storage unit; 703. a second acquisition module; 7031. an acquisition unit; 7032. a first calculation unit; 7033. a sorting unit; 7034. a first separation unit; 704. a calculation module; 7041. a second building element; 7042. a second calculation unit; 7043. a second scoring unit; 7044. an induction unit; 705. an update module; 800. urban road berth guidance equipment; 801. a processor; 802. a memory; 803. a multimedia component; 804. an I/O interface; 805. a communication component.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention. The components of embodiments of the present invention generally described and illustrated in the figures herein may be arranged and designed in a wide variety of different configurations. Thus, the following detailed description of the embodiments of the present invention, presented in the figures, is not intended to limit the scope of the invention, as claimed, but is merely representative of selected embodiments of the invention. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
It should be noted that: like reference numbers and letters refer to like items in the following figures, and thus, once an item is defined in one figure, it need not be further defined and explained in subsequent figures. Meanwhile, in the description of the present invention, the terms "first", "second", and the like are used only for distinguishing the description, and are not to be construed as indicating or implying relative importance.
Example 1:
the embodiment provides an urban road berth induction method.
Referring to fig. 1, the method is shown to include step S100, step S200, step S300, and steps S400 and S500.
S100, vehicle information of a vehicle owner to be induced is obtained, wherein the vehicle information of the vehicle owner to be induced comprises registration information, license plate information, vehicle type information, color information and brand information of the vehicle owner.
It is understood that, in this step, the acquired vehicle owner information includes, but is not limited to, the registration information of the vehicle owner, the license plate of the vehicle, the type of the vehicle, the color, the brand, and the like, which are acquired through the public medium. The public medium comprises public applications such as APP, weChat public numbers, paibao life numbers and the like, and after a user registers and uses and certifies a license plate, the user obtains related information from a database through user information in the using process.
S200, acquiring first information according to the vehicle information, wherein the first information comprises all parking history records of the license plate information corresponding to the vehicle information; and constructing a parking decision tree according to the first information.
It is understood that the method also comprises the following steps:
all the parking history records comprise parking position information, latitude and longitude information of a parking position, time points of entering and exiting a parking place and parking duration;
it should be noted that, through the license plate, all parking history records of the license plate are inquired from the database, and the parking history records include parking position information, latitude and longitude information of the parking position, time point of entering and exiting the parking position, and parking duration.
Determining the parking positions of the vehicles according to each parking history record, and supplementing feature tags, wherein the feature tags comprise parking position feature information, parking position space dimension information, parking position time dimension information and natural dimension information;
it should be noted that, for each parking history, its feature tag is completed according to the parking position where the parking history is parked, and the feature tag includes parking position feature information, such as: outdoor, indoor, crowded berth, spacious berth, and the like; spatial dimension information, such as: surrounding building information (business circles, districts, office buildings, schools, hospitals, parks, etc.); time dimension information, such as whether it is a weekend or holiday; natural dimensional information such as weather and temperature.
Building a parking decision tree through the feature labels; and a plurality of decision trees are constructed through the characteristic labels, so that the parking preference information of the vehicle owner is counted to construct the parking decision tree.
And storing the parking decision tree into a storage medium, and updating the parking decision tree in real time.
It should be noted that the decision tree data is stored in the storage medium, and the quantity and quality of the decision tree are accumulated as the parking history increases.
S300, second information and third information are obtained, wherein the second information comprises the current urban road traffic information, and the third information comprises the complete information of the induced event.
It is understood that step S300 further includes S301, S302, S303 and S304, wherein:
s301, the third information comprises complete information of an acquired induced event, wherein the complete information of the induced event comprises position information, date information, weather information, building information around a destination and berth characteristic information around the destination; acquiring fourth information according to the position information and preset distance range information, wherein the fourth information comprises all idle parking space information and parking space information around a destination;
the urban road traffic information includes, but is not limited to, congestion conditions of roads in the current city, a road restricted area in the current city, a road closed area in the current city, and the like. Acquiring complete information of the induction event, including but not limited to, location information (acquiring longitude and latitude information of a starting point location and a destination location through a GPS); date information (whether weekends, holidays, etc.); weather information (weather, wind speed, temperature, humidity, etc.); building information around the destination (business circles, districts, office buildings, schools, hospitals, parks, etc.); parking space around the destination and its characteristic information (whether open air exists, size of parking space, difficulty of parking, etc.).
S302, calculating the distance from the position where the idle berth is located to the destination according to each idle berth information in the third information and the fourth information;
it should be noted that, according to the obtained longitude and latitude of the destination and the preset distance range, all the details of the idle berths and berths around the destination are obtained, and the details include, but are not limited to, the longitude and latitude of the berths and the berth characteristics (whether open air exists, the size of the berths, the difficulty of parking, etc.).
S303, sequencing the distances from the positions of the idle berths to the destination from long to short, and scoring walking duration to obtain a first scoring result;
it should be noted that, the obtained longitude and latitude of the destination and each idle berth calculate the distance from the idle berth to the destination, and give a walking duration score to the berth according to the distance length, the shorter the walking distance is, the higher the score is, otherwise, the lower the score is.
S304, calculating according to the third information, the fourth information and the parking decision tree to obtain the probability that the vehicle owner to be induced parks in the current parking space, and scoring the parking tendency of the probability to obtain a second scoring result.
It should be noted that the obtained complete information of the induction event and the obtained parking position list are applied to the decision trees obtained by the above calculation to obtain a probability that the vehicle owner parks in the current parking position, and a parking tendency score is given to the parking position according to the probability, wherein the higher the probability is, the higher the score is, the lower the probability is, and the lower the score is.
S400, calculating the second information, the third information and the parking decision tree based on a Dijkstra algorithm to obtain an optimal path.
It should be noted that a small map with a weight is constructed through the acquired starting point position, the acquired parking space list and the acquired urban road congestion situation, and each road in the map is given a weight according to the congestion degree (for example, the weight of a blocked road is 0, the weight of an extremely congested road is 1, the weight of a congested road is 2, the weight of a congested road is 3, the weight of a slow-to-pass road is 4, and the weight of a smooth-to-pass road is 5). And then, calculating an optimal path and the estimated passing time of the optimal path by using a Dijkstra algorithm. And giving a passing score to each berth according to the passing time length, wherein the shorter the time is, the higher the score is, and the lower the score is otherwise.
It is understood that step S400 further includes S401, S402, S403 and S404, where:
s401, constructing a road congestion weight value map according to the third information, the fourth information and the second information;
s402, calculating to obtain an optimal path based on a Dijkstra algorithm and the road congestion weight value graph;
it should be noted that Dijkstra's algorithm is proposed by Dijkstra, a netherlands computer scientist, and a shortest path algorithm from one vertex to the rest of the vertices solves the shortest path problem in the weighted graph.
S403, according to the optimal path, scoring is carried out on the traffic passing condition of each berth to obtain a third scoring result;
s404, calculating according to the first scoring result, the second scoring result, the third scoring result and a preset weight value to obtain a total scoring result, and parking guidance is conducted on the owner to be guided according to the total scoring result.
And combining the 3 scores and a preset weight value of a system background, multiplying the scores and the preset weight value to calculate a total score for all idle berths, ranking according to the total score, and providing the total score for the owner user to select through a medium.
And providing an inducing function for the user according to the berth selected by the user and the calculated final path.
And S500, parking guidance is carried out on the owner to be guided according to the optimal path, and updating is carried out according to the real-time road traffic current situation.
It can be understood that, in the induction process, every fixed time set by the system, the system can repeat the steps, and according to the latest real-time information, the latest berth recommendation is pushed to the owner user through the medium, so that the induction result is updated.
Example 2:
as shown in fig. 2, the present embodiment provides an urban road berth guidance device, and the device described with reference to fig. 2 includes a first obtaining module, a constructing module, a second obtaining module, a calculating module, and an updating module, where:
a first obtaining module: the system comprises a server and a server, wherein the server is used for acquiring vehicle information of a vehicle owner to be induced, and the vehicle information of the vehicle owner to be induced comprises registration information, license plate information, vehicle type information, color information and brand information of the vehicle owner;
constructing a module: the system comprises a vehicle information acquisition unit, a license plate information acquisition unit and a vehicle information acquisition unit, wherein the vehicle information acquisition unit is used for acquiring first information according to the vehicle information, and the first information comprises all parking history records of the license plate information corresponding to the vehicle information; building a parking decision tree according to the first information;
a second obtaining module: the system comprises a first information acquisition unit, a second information acquisition unit, a third information acquisition unit and a display unit, wherein the first information acquisition unit is used for acquiring first information and second information;
a calculation module: the parking decision tree module is used for calculating the second information, the third information and the parking decision tree based on Dijkstra algorithm to obtain an optimal path;
an update module: and the system is used for parking guidance of the vehicle owner to be guided according to the optimal path and updating according to the real-time road traffic current situation.
Specifically, the building module includes an obtaining unit, a determining unit, a first building unit, and a storing unit, wherein:
an obtaining unit: the parking history records comprise parking position information, parking longitude and latitude information, field entering and exiting time points and parking duration;
a determination unit: the system comprises a parking history record database, a vehicle parking position database and a vehicle parking position database, wherein the parking position database is used for storing parking position information of vehicles, parking position information of vehicles and parking position information of vehicles, and is used for determining parking positions of the vehicles according to each parking history record and supplementing feature tags, and the feature tags comprise parking position feature information, parking space dimension information, parking position time dimension information and natural dimension information;
a first building element: the parking decision tree is constructed through the feature labels;
a storage unit: and the system is used for storing the parking decision tree into a storage medium and updating the parking decision tree in real time.
Specifically, the second obtaining module includes an obtaining unit, a first calculating unit, a sorting unit, and a first scoring unit, where:
an acquisition unit: obtaining complete information of an induced event, wherein the complete information of the induced event comprises position information, date information, weather information, building information around a destination and berth characteristic information around the destination; acquiring fourth information according to the position information and preset distance range information, wherein the fourth information comprises all idle parking space information and parking space information around a destination;
the first calculation unit: the distance between the position where the idle berth is located and the destination is calculated according to each idle berth information in the third information and the fourth information;
a sorting unit: the system is used for sequencing the distances from the place where the idle berth is located to the destination from long to short, and scoring walking duration to obtain a first scoring result;
a first scoring unit: and the system is used for calculating according to the third information, the fourth information and the parking decision tree to obtain the probability of the vehicle owner to be induced to park in the current parking space, and scoring the parking tendency of the probability to obtain a second scoring result.
Specifically, the calculation module includes a second construction unit, a second calculation unit, a second scoring unit, and an induction unit, wherein:
a second building element: the road congestion weight value map is constructed according to the third information, the fourth information and the second information;
a second calculation unit: the optimal path is calculated and obtained based on the Dijkstra algorithm and the road congestion weight value graph;
a second scoring unit: the system is used for scoring the traffic passing condition of each berth according to the optimal path to obtain a third scoring result;
an induction unit: and the system is used for calculating according to the first scoring result, the second scoring result, the third scoring result and a preset weight value to obtain a total scoring result, and carrying out parking guidance on the owner to be guided according to the total scoring result.
It should be noted that, regarding the apparatus in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated herein.
Example 3:
corresponding to the above method embodiment, the present embodiment further provides an urban road berth guidance device, and the below described urban road berth guidance device and the above described urban road berth guidance method may be referred to in correspondence.
Fig. 3 is a block diagram illustrating an urban road berth inducing apparatus 800 according to an exemplary embodiment. As shown in fig. 3, the urban road berth inducing apparatus 800 may include: a processor 801, a memory 802. The urban road berth induction device 800 may further include one or more of a multimedia component 803, an i/O interface 804, and a communication component 805.
The processor 801 is configured to control the overall operation of the urban road berth inducing apparatus 800, so as to complete all or part of the steps in the above-mentioned urban road berth inducing method. The memory 802 is used to store various types of data to support the operation of the urban road berth inducing equipment 800, which may include, for example, instructions for any application or method operating on the urban road berth inducing equipment 800, as well as application-related data, such as contact data, transceived messages, pictures, audio, video, and so forth. The Memory 802 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically Erasable Programmable Read-Only Memory (EEPROM), erasable Programmable Read-Only Memory (EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk or optical disk. The multimedia components 803 may include screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals. For example, the audio component may include a microphone for receiving external audio signals. The received audio signal may further be stored in the memory 802 or transmitted through the communication component 805. The audio assembly also includes at least one speaker for outputting audio signals. The I/O interface 804 provides an interface between the processor 801 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons. The communication component 805 is used for wired or wireless communication between the urban road berth guidance device 800 and other devices. Wireless communication, such as Wi-Fi, bluetooth, near Field Communication (NFC), 2G, 3G, or 4G, or a combination of one or more of them, so that the corresponding communication component 805 may include: wi-Fi module, bluetooth module, NFC module.
In an exemplary embodiment, urban road berth inducing equipment 800 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the above-described urban road berth inducing methods.
In another exemplary embodiment, there is also provided a computer readable storage medium comprising program instructions which, when executed by a processor, implement the steps of the urban road berth inducement method described above. For example, the computer readable storage medium may be the above-mentioned memory 802 comprising program instructions executable by the processor 801 of the urban road berth inducing equipment 800 to perform the above-mentioned urban road berth inducing method.
Example 4:
corresponding to the above method embodiment, a readable storage medium is also provided in this embodiment, and a readable storage medium described below and an urban road berth guidance method described above may be referred to in correspondence.
A readable storage medium, on which a computer program is stored, which, when being executed by a processor, carries out the steps of the urban road berth guidance method of the above-mentioned method embodiments.
The readable storage medium may be a usb disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and various other readable storage media capable of storing program codes.
In conclusion, the invention combs out the parking behavior and parking preference of the user through the deep analysis and processing of the data and continuous learning; meanwhile, according to the traffic condition of urban roads, the real-time congestion condition of the roads is calculated through continuous learning, different parking recommendations of users are given according to the parking position condition of the roads and the parking position condition of a parking lot, the optimal route is given, and reasonable and useful parking position guidance is really achieved instead of simple display of redundant position information. The traffic efficiency of car owner user can be effectually promoted to through the induction system, the traffic jam that reasonable regulation produced because of seeking the berth deepens along with the degree that the user used simultaneously, can also make the berth reservation in parking area in advance according to car owner's action custom, makes the construction and the use of arrangement berth that urban road operator can be more reasonable. And urban traffic jam and energy waste are reduced.
The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention, and various modifications and changes may be made by those skilled in the art. Any modification, equivalent replacement, or improvement made within the spirit and principle of the present invention should be included in the protection scope of the present invention.
The above description is only for the specific embodiments of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art can easily think of the changes or substitutions within the technical scope of the present invention, and shall cover the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (10)
1. An urban road berth induction method is characterized by comprising the following steps:
acquiring vehicle information of a vehicle owner to be induced, wherein the vehicle information of the vehicle owner to be induced comprises registration information, license plate information, vehicle type information, color information and brand information of the vehicle owner;
acquiring first information according to the vehicle information, wherein the first information comprises all parking history records of the license plate information corresponding to the vehicle information; building a parking decision tree according to the first information;
acquiring second information and third information, wherein the second information comprises current urban road traffic information, and the third information comprises complete information of an acquired induced event;
calculating the second information, the third information and the parking decision tree based on a Dijkstra algorithm to obtain an optimal path;
and according to the optimal path, parking guidance is carried out on the vehicle owner to be guided, and updating is carried out according to the real-time road traffic current situation.
2. The urban road berth induction method according to claim 1, wherein the obtaining of first information according to the vehicle information includes all parking histories of the license plate information corresponding to the vehicle information; according to the first information, building a parking decision tree, wherein the parking decision tree comprises the following steps:
all the parking history records comprise parking position information, longitude and latitude information of the parking positions, time points of entering and leaving the parking space and parking duration;
determining the parking positions of the vehicles according to each parking history record, and supplementing feature tags, wherein the feature tags comprise parking position feature information, parking position space dimension information, parking position time dimension information and natural dimension information;
building a parking decision tree through the feature labels;
and storing the parking decision tree into a storage medium, and updating the parking decision tree in real time.
3. The urban road berth inducement method according to claim 1, characterized in that the obtaining of second information and third information, the second information comprising obtaining current urban road traffic information, the third information comprising obtaining complete information of inducement events, comprises:
the third information comprises complete information of an acquired induced event, wherein the complete information of the induced event comprises position information, date information, weather information, building information around a destination and berth characteristic information around the destination; acquiring fourth information according to the position information and preset distance range information, wherein the fourth information comprises all idle parking space information and parking space information around a destination;
calculating the distance from the position where the idle berth is located to the destination according to each idle berth information in the third information and the fourth information;
sequencing the distances from the place where the idle berth is located to the destination from long to short, and scoring walking duration to obtain a first scoring result;
and calculating according to the third information, the fourth information and the parking decision tree to obtain the probability of the vehicle owner to be induced to park in the current parking space, and scoring the parking tendency of the probability to obtain a second scoring result.
4. The urban road berth induction method according to claim 3, wherein the calculating the second information, the third information and the parking decision tree based on dijkstra's algorithm to obtain an optimal path comprises:
constructing a road congestion weight value map according to the third information, the fourth information and the second information;
calculating to obtain an optimal path based on a Dijkstra algorithm and the road congestion weight value graph;
according to the optimal path, scoring is carried out on the traffic passing condition of each berth to obtain a third scoring result;
and calculating according to the first scoring result, the second scoring result, the third scoring result and a preset weight value to obtain a total scoring result, and performing parking guidance on the vehicle owner to be guided according to the total scoring result.
5. An urban road berth induction device, comprising:
a first obtaining module: the system comprises a server and a server, wherein the server is used for acquiring vehicle information of a vehicle owner to be induced, and the vehicle information of the vehicle owner to be induced comprises registration information, license plate information, vehicle type information, color information and brand information of the vehicle owner;
constructing a module: the system comprises a vehicle information acquisition unit, a license plate information acquisition unit and a vehicle information acquisition unit, wherein the vehicle information acquisition unit is used for acquiring first information according to the vehicle information, and the first information comprises all parking history records of the license plate information corresponding to the vehicle information; building a parking decision tree according to the first information;
a second obtaining module: the system comprises a first information acquisition unit, a second information acquisition unit, a third information acquisition unit and a display unit, wherein the first information acquisition unit is used for acquiring first information and second information;
a calculation module: the parking decision tree module is used for calculating the second information, the third information and the parking decision tree based on Dijkstra algorithm to obtain an optimal path;
an update module: and the system is used for parking guidance of the vehicle owner to be guided according to the optimal path and updating according to the real-time road traffic current situation.
6. The urban road berth induction device according to claim 5, characterized in that the building module comprises:
an obtaining unit: the parking history records comprise parking position information, parking longitude and latitude information, field entering and exiting time points and parking duration;
a determination unit: the system comprises a parking history record, a characteristic tag and a control module, wherein the parking history record is used for determining parking positions of vehicles according to each parking history record and supplementing the characteristic tag, and the characteristic tag comprises parking position characteristic information, parking space dimension information, parking position time dimension information and natural dimension information;
a first building unit: the parking decision tree is constructed through the feature labels;
a storage unit: and the system is used for storing the parking decision tree into a storage medium and updating the parking decision tree in real time.
7. The urban road berth induction device according to claim 5, wherein the second acquisition module comprises:
an acquisition unit: obtaining complete information of an induced event, wherein the complete information of the induced event comprises position information, date information, weather information, building information around a destination and berth characteristic information around the destination; acquiring fourth information according to the position information and preset distance range information, wherein the fourth information comprises all idle parking space information and parking space information around a destination;
the first calculation unit: the distance between the position where the idle berth is located and the destination is calculated according to each idle berth information in the third information and the fourth information;
a sorting unit: the system is used for sequencing the distances from the place where the idle berth is located to the destination from long to short, and scoring walking duration to obtain a first scoring result;
a first scoring unit: and the system is used for calculating according to the third information, the fourth information and the parking decision tree to obtain the probability of the vehicle owner to be induced to park in the current parking space, and scoring the parking tendency of the probability to obtain a second scoring result.
8. The urban road berth induction device according to claim 7, wherein the calculation module comprises:
a second building element: the road congestion weight value map is constructed according to the third information, the fourth information and the second information;
a second calculation unit: calculating to obtain an optimal path based on a Dijkstra algorithm and the road congestion weight value graph;
a second scoring unit: the system is used for scoring the traffic passing condition of each berth according to the optimal path to obtain a third scoring result;
an induction unit: and the system is used for calculating according to the first scoring result, the second scoring result, the third scoring result and a preset weight value to obtain a total scoring result, and carrying out parking guidance on the owner to be guided according to the total scoring result.
9. An urban road berth guidance device, comprising:
a memory for storing a computer program;
processor for implementing the steps of the urban road berth induction method according to any one of claims 1 to 4 when executing said computer program.
10. A readable storage medium, characterized by: the readable storage medium has stored thereon a computer program which, when being executed by a processor, carries out the steps of the urban road berth induction method according to any one of claims 1 to 4.
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| CN202211175224.7A CN115691203A (en) | 2022-09-26 | 2022-09-26 | Urban road berth induction method, device, equipment and readable storage medium |
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116682282A (en) * | 2023-05-24 | 2023-09-01 | 深圳市豪位科技有限公司 | Intra-road reservation parking system |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN116682282A (en) * | 2023-05-24 | 2023-09-01 | 深圳市豪位科技有限公司 | Intra-road reservation parking system |
| CN116682282B (en) * | 2023-05-24 | 2024-01-09 | 深圳市豪位科技有限公司 | Intra-road reservation parking system |
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