CN116434590A - Cloud-based vehicle parking space reservation method and system - Google Patents
Cloud-based vehicle parking space reservation method and system Download PDFInfo
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Abstract
The application discloses a vehicle parking space reservation method and system based on a cloud. The vehicle parking space reservation method based on the cloud comprises the following steps: the vehicle end obtains destination information and sends the destination information to the cloud end; the cloud acquires recommended parking lot information and transmits the recommended parking lot information to the vehicle end; the vehicle end judges whether the reservation instruction sent by the user according to the recommended parking lot information can be obtained, and if so, the reservation instruction is sent to the cloud end; the cloud end communicates with the road side unit of the recommended parking lot according to the reservation instruction, so that the parking place of the recommended parking lot is reserved. According to the cloud-based vehicle parking space reservation method, the vehicle end, the cloud and the drive test unit are in communication cooperation with each other, so that accurate real-time dynamic monitoring of parking space resources of a parking lot is achieved, whether the vehicle is driven away or not can be judged through recognition of the state of a space occupying vehicle, and therefore available vehicle space resources can be found to the maximum extent, and the problem that the current parking space searching technology can only recognize empty parking spaces, so that potential parking resources of the parking lot cannot be obtained is effectively solved.
Description
Technical Field
The application relates to the technical field of vehicle parking, in particular to a cloud-based vehicle parking space reservation method and a cloud-based vehicle parking space reservation system.
Background
As private cars become the main traffic tool for mass urban travel, parking space resources in places such as markets and the like with dense people flow are continuously tense, searching for parking spaces becomes a great difficulty after masses arrive at travel destinations, and a great deal of time is often delayed, even no parking spaces exist after arriving at destination parking lots. The existing parking space searching technology can help masses solve the problem of difficulty in searching the parking spaces to a certain extent to a large extent, but most of the parking space searching technology is based on the fact that the occupancy sensor judges the occupancy situation of the parking spaces, dynamic monitoring of parking space resources of a parking lot cannot be achieved, and the parking spaces which are about to be free due to the fact that vehicles are about to drive away cannot be identified. This is to going out the pedestrian, especially when the parking area parking stall occupies the peak period, under the current parking stall means of seeking, can't in time discover the parking stall that will vacate, can appear not having the parking stall condition, leads to going out the pedestrian and searching the parking stall in the parking area for a long time, leaves the destination and goes to other positions parking even, brings very big inconvenience for the trip.
It is therefore desirable to have a solution that solves or at least alleviates the above-mentioned drawbacks of the prior art.
Disclosure of Invention
The invention aims to provide a cloud-based vehicle parking space reservation method for solving at least one technical problem.
In one aspect, the invention provides a vehicle parking space reservation method based on a cloud, which comprises the following steps:
the vehicle end obtains destination information and sends the destination information to the cloud end;
the cloud end acquires recommended parking lot information according to the destination information and transmits the recommended parking lot information to the vehicle end;
the vehicle end judges whether the reservation instruction sent by the user according to the recommended parking lot information can be obtained or not, if yes, the vehicle end judges whether the reservation instruction sent by the user according to the recommended parking lot information can be obtained
The reservation instruction is sent to the cloud;
and the cloud end communicates with the road side unit of the recommended parking lot according to the reservation instruction, so that the parking place of the recommended parking lot is reserved.
Optionally, the cloud end obtaining the recommended parking lot information according to the destination information and transmitting the recommended parking lot information to the vehicle end includes:
acquiring position information of each parking lot in a preset range around destination information;
respectively obtaining basic scores of each parking lot according to the position information of each parking lot;
respectively obtaining the estimated arrival idle parking space quantity of each parking lot;
respectively acquiring the parking space resource coefficients of each parking lot according to the estimated number of the idle parking spaces reached by each parking lot;
respectively obtaining the final score of each parking lot according to the parking space resource coefficient of each parking lot and the basic score of each parking lot;
and acquiring the parking lot information of the parking lot with the highest final score as recommended parking lot information.
Optionally, the determining, by the vehicle end, whether the reservation instruction sent by the user according to the recommended parking lot information can be acquired includes:
the vehicle end generates man-machine interaction information according to the parking lot information, wherein the man-machine interaction information comprises parking space distribution plan information, parking space state information and reserved parking space information;
the vehicle end judges whether instruction information fed back by a user after the human-computer interaction information is acquired, if yes, the vehicle end judges whether the instruction information fed back by the user after the human-computer interaction information is acquired
Judging whether the acquired instruction information is reservation information, if so, then
And judging that the reservation instruction sent by the user according to the recommended parking lot information can be acquired.
Optionally, the cloud end communicates with a road side unit of the recommended parking lot according to the reservation instruction, so that reserving the parking space of the recommended parking lot includes:
the cloud acquires a reservation instruction, wherein the reservation instruction comprises reservation parking space information;
the cloud end sends reserved parking space information to a drive test unit corresponding to the reserved parking space in the recommended parking lot;
and the drive test unit controls the corresponding vehicle gear to work according to the reserved parking space information.
Optionally, the cloud end communicates with a road side unit of the recommended parking lot according to the reservation instruction, so that reserving the parking space of the recommended parking lot further includes:
the drive test unit generates identity verification information;
the drive test unit sends the identity verification information to a cloud;
and the cloud end sends the identity verification information to the vehicle end.
Optionally, the cloud-based vehicle parking space reservation method further includes:
the vehicle end judges whether the reservation instruction sent by the user according to the recommended parking lot information can be obtained or not, if not, the vehicle end judges whether the reservation instruction sent by the user according to the recommended parking lot information can be obtained
And the vehicle end generates navigation information from the current location to the parking lot with the highest score.
Optionally, the cloud-based vehicle parking space reservation method further includes:
the cloud acquires historical parking space parking information of the parking lot with the highest score;
the cloud end obtains parking space risk information according to the historical parking space parking information of the parking lot with the highest score and sends the parking space risk information to the vehicle end;
the vehicle end judges whether the parking space risk information is higher than a preset threshold value, if yes, the vehicle end judges whether the parking space risk information is higher than the preset threshold value
An inquiry speech is generated.
Optionally, the cloud-based vehicle parking space reservation method further includes:
acquiring voice information fed back by a user according to the inquiry voice;
judging whether the parking lot information needs to be changed according to the voice information, if so, then
And selecting the parking lot information of one of the parking lots except the parking lot with the highest final score from the parking lots as new recommended parking lot information.
Optionally, when the vehicle end determines whether the reservation instruction sent by the user according to the recommended parking lot information can be obtained, the cloud-based vehicle parking space reservation method further includes:
the vehicle end judges whether the vehicle reaches the parking lot corresponding to the recommended parking lot information, if so, the vehicle end judges whether the vehicle reaches the parking lot corresponding to the recommended parking lot information
The vehicle end acquires a parking lot parking space map transmitted by a cloud end and parking space state information;
the vehicle end acquires user preference information;
and the vehicle end generates optimal parking space information according to the user preference information, the parking space map of the parking lot and the parking space state information.
The utility model provides a vehicle parking stall reservation system based on high in clouds, vehicle parking stall reservation system based on high in clouds includes car end, high in clouds and at least one roadside unit, the car end is connected with the high in clouds communication, the high in clouds with drive test unit communication is connected, car end, high in clouds and each drive test unit cooperation realize vehicle parking stall reservation system based on high in clouds as described above.
Advantageous effects
According to the cloud-based vehicle parking space reservation method, the vehicle end, the cloud and the drive test unit are in communication cooperation with each other, so that accurate real-time dynamic monitoring of parking space resources of a parking lot is achieved, whether a vehicle is driven away or not is judged through recognition of the state of a space occupying vehicle, and therefore available parking space resources can be found to the maximum extent, the problem that the existing parking space searching technology can only recognize empty parking spaces, and potential parking resources of the parking lot cannot be obtained is effectively solved, and more real and convenient parking space searching experience is provided for travelers.
Drawings
Fig. 1 is a flow chart of a cloud-based vehicle parking space reservation method according to a first embodiment of the present application.
Fig. 2 is a system schematic diagram of a cloud-based vehicle parking space reservation system according to an embodiment of the present application.
Fig. 3 is a schematic diagram of parking space navigation in an embodiment of the present application.
Detailed Description
In order to make the purposes, technical solutions and advantages of the implementation of the present application more clear, the technical solutions in the embodiments of the present application will be described in more detail below with reference to the accompanying drawings in the embodiments of the present application. In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are some, but not all, of the embodiments of the present application. The embodiments described below by referring to the drawings are exemplary and intended for the purpose of explaining the present application and are not to be construed as limiting the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application. Embodiments of the present application are described in detail below with reference to the accompanying drawings.
Fig. 1 is a flow chart of a cloud-based vehicle parking space reservation method according to a first embodiment of the present application.
The cloud-based vehicle parking space reservation method shown in fig. 1 includes:
step 1: the vehicle end obtains destination information and sends the destination information to the cloud end;
step 2: the cloud end acquires recommended parking lot information according to the destination information and transmits the recommended parking lot information to the vehicle end;
step 3: the vehicle end judges whether the reservation instruction sent by the user according to the recommended parking lot information can be obtained or not, if yes, the vehicle end judges whether the reservation instruction sent by the user according to the recommended parking lot information can be obtained
Step 4: the reservation instruction is sent to the cloud;
step 5: and the cloud end communicates with the road side unit of the recommended parking lot according to the reservation instruction, so that the parking place of the recommended parking lot is reserved.
According to the cloud-based vehicle parking space reservation method, the vehicle end, the cloud and the drive test unit are in communication cooperation with each other, so that accurate real-time dynamic monitoring of parking space resources of a parking lot is achieved, whether a vehicle is driven away or not is judged through recognition of the state of a space occupying vehicle, and therefore available parking space resources can be found to the maximum extent, the problem that the existing parking space searching technology can only recognize empty parking spaces, and potential parking resources of the parking lot cannot be obtained is effectively solved, and more real and convenient parking space searching experience is provided for travelers.
In this embodiment, the cloud end obtaining the recommended parking lot information according to the destination information and transmitting the recommended parking lot information to the vehicle end includes:
acquiring position information of each parking lot in a preset range around destination information;
respectively obtaining basic scores of each parking lot according to the position information of each parking lot;
respectively obtaining the estimated arrival idle parking space quantity of each parking lot;
respectively acquiring the parking space resource coefficients of each parking lot according to the estimated number of the idle parking spaces reached by each parking lot;
respectively obtaining the final score of each parking lot according to the parking space resource coefficient of each parking lot and the basic score of each parking lot;
and acquiring the parking lot information of the parking lot with the highest final score as recommended parking lot information.
In this embodiment, the determining, by the vehicle end, whether the reservation instruction sent by the user according to the recommended parking lot information can be obtained includes:
the vehicle end generates man-machine interaction information according to the parking lot information, wherein the man-machine interaction information comprises parking space distribution plan information, parking space state information and reserved parking space information;
the vehicle end judges whether instruction information fed back by a user after the human-computer interaction information is acquired, if yes, the vehicle end judges whether the instruction information fed back by the user after the human-computer interaction information is acquired
Judging whether the acquired instruction information is reservation information, if so, then
And judging that the reservation instruction sent by the user according to the recommended parking lot information can be acquired.
In this embodiment, the cloud end communicates with a road side unit of the recommended parking lot according to the reservation instruction, so that reserving the parking space of the recommended parking lot includes:
the cloud acquires a reservation instruction, wherein the reservation instruction comprises reservation parking space information;
the cloud end sends reserved parking space information to a drive test unit corresponding to the reserved parking space in the recommended parking lot;
and the drive test unit controls the corresponding vehicle gear to work according to the reserved parking space information.
In this embodiment, the cloud end communicates with a road side unit of the recommended parking lot according to the reservation instruction, so that reserving the parking space of the recommended parking lot further includes:
the drive test unit generates identity verification information;
the drive test unit sends the identity verification information to a cloud;
and the cloud end sends the identity verification information to the vehicle end.
In this embodiment, the vehicle parking space reservation method based on the cloud end further includes:
the vehicle end judges whether the reservation instruction sent by the user according to the recommended parking lot information can be obtained or not, if not, the vehicle end judges whether the reservation instruction sent by the user according to the recommended parking lot information can be obtained
And the vehicle end generates navigation information from the current location to the parking lot with the highest score.
In this embodiment, the vehicle parking space reservation method based on the cloud end further includes:
the cloud acquires historical parking space parking information of the parking lot with the highest score;
the cloud end obtains parking space risk information according to the historical parking space parking information of the parking lot with the highest score and sends the parking space risk information to the vehicle end;
the vehicle end judges whether the parking space risk information is higher than a preset threshold value, if yes, the vehicle end judges whether the parking space risk information is higher than the preset threshold value
An inquiry speech is generated.
In this embodiment, the vehicle parking space reservation method based on the cloud end further includes:
acquiring voice information fed back by a user according to the inquiry voice;
judging whether the parking lot information needs to be changed according to the voice information, if so, then
And selecting the parking lot information of one of the parking lots except the parking lot with the highest final score from the parking lots as new recommended parking lot information.
In this embodiment, when the vehicle end determines whether the reservation instruction sent by the user according to the recommended parking lot information can be obtained, the cloud-based vehicle parking space reservation method further includes:
the vehicle end judges whether the vehicle reaches the parking lot corresponding to the recommended parking lot information, if so, the vehicle end judges whether the vehicle reaches the parking lot corresponding to the recommended parking lot information
The vehicle end acquires a parking lot parking space map transmitted by a cloud end and parking space state information;
the vehicle end acquires user preference information;
and the vehicle end generates optimal parking space information according to the user preference information, the parking space map of the parking lot and the parking space state information.
The present application is described in further detail below by way of examples, which are not to be construed as limiting the present application in any way.
Step 1: the vehicle end obtains destination information and sends the destination information to the cloud end, specifically, a driver selects a destination on the vehicle, for example, when the driver starts, the vehicle-mounted unit central control screen of the vehicle end opens a parking space searching system, the travel destination is input, and the travel destination is transmitted to the vehicle-mounted main controller through the central control screen.
Step 2: the cloud end acquires recommended parking lot information according to the destination information and transmits the recommended parking lot information to the vehicle end, and specifically, the optimal trip parking lot is estimated through map data, a navigation system and cloud platform real-time information.
In this embodiment, the cloud end obtaining the recommended parking lot information according to the destination information and transmitting the recommended parking lot information to the vehicle end includes:
acquiring position information of each parking lot within a preset range around destination information, for example, searching for a parking lot near the destination, setting a search range R by a traveler s Based on the map data, search for a square circle R centering on the object s Parking lot in the building and acquiring walking navigation path length D between the parking lot to be selected and the destination 1 、D 2 、D 3 、…，D n (assuming square circle R s There are n parking lots to be selected in);
basic scores of each parking lot are obtained according to the position information of each parking lot, for example, parking lot distance scores in the dimension of the walking navigation path. Scoring each parking lot to be selected according to the navigation path length to obtain a distance score (namely basic score) S of each parking lot dis_n . Setting the parking lot distance score with the shortest walking navigation path to the destination as 1, setting the parking lot distance score with the longest walking navigation path to the destination as 0.5, and setting the rest parking lot distance scores as S dis_n ＝1-0.5[(D n -D min )/(D max -D min )]；
And respectively acquiring the estimated arrival free parking space quantity of each parking lot, and specifically, predicting the parking space resource when the parking lot to be selected arrives. Acquiring the time of each arrival at the parking lot to be selected from the navigation system, calling the number of idle parking spaces at the time every day in the first five days of each parking lot to be selected from the cloud platform, and taking the average value to obtain the predicted number N of idle parking spaces when arriving p_n Acquiring the number N of idle parking spaces of each current parking lot to be selected from a cloud platform c_n The number N of idle parking spaces when the trip arrives at each parking lot to be selected can be predicted e_n ＝0.3N c_n +0.7N p_n ；
And respectively acquiring the parking space resource coefficients of each parking lot according to the estimated number of the idle parking spaces of each parking lot, and specifically, determining the parking space resource coefficients of each parking lot to be selected. The number N of parking spaces of the parking lot can be obtained through prediction e_max Thereby obtaining the parking space resource coefficient K of each parking lot to be selected e_n ＝N e_n /N e_max ；
And respectively obtaining the final score of each parking lot according to the parking space resource coefficient of each parking lot and the basic score of each parking lot, and specifically, calculating the comprehensive score (final score) of the parking lot to be selected. Based on the position of the to-be-selected parking lot and the parking space resource, obtaining a comprehensive score F of the parking feasibility of the to-be-selected parking lot n ＝K e_n /S dis_n ；
And acquiring the parking lot information of the parking lot with the highest final score as recommended parking lot information, namely selecting the parking lot with the highest comprehensive score from the calculated comprehensive scores Fn of the parking lots to be selected as a target parking lot.
In this embodiment, the determining, by the vehicle end, whether instruction information fed back by the user after the human-computer interaction information is acquired includes:
the vehicle end generates man-machine interaction information according to the parking lot information, wherein the man-machine interaction information comprises parking space distribution plan information, parking space state information and reserved parking space information, for example, a vehicle-mounted unit of the vehicle end invokes real-time parking space resource information of the parking lot through a cloud platform, the real-time parking space resource information comprises the parking space distribution plan information and the parking space state information (idle/occupied space), reserved parking spaces are only used for current idle parking spaces, namely, the occupied space sensor feeds back the parking spaces of the vehicle, the vehicle-mounted unit receives the parking space information sent by the cloud platform through a V-BOX, inputs the parking space information into a vehicle-mounted main controller, and after processing, the parking space distribution plan information and the parking space state information (idle/occupied space) are displayed through a central control screen, and reserved parking spaces are only used for the current idle parking spaces;
the vehicle end judges whether instruction information fed back by a user after the human-computer interaction information is acquired, for example, the central control screen can prompt a traveler whether the reservation of a parking space is needed or not in a voice or display mode, and displays a target parking lot parking space distribution diagram and a parking space idle state for the selection of the pedestrian. If the traveler reserves and locks the idle parking space after selecting the parking space, paying the fee and other steps through voice or instructions, the reservation instruction sent by the user according to the recommended parking lot information is judged to be acquired.
In this embodiment, the cloud end communicates with the road side unit of the recommended parking lot according to the reservation instruction, so that reserving the parking space of the recommended parking lot includes:
the cloud acquires a reservation instruction, wherein the reservation instruction comprises reservation parking space information;
the cloud end sends reserved parking space information to a drive test unit corresponding to the reserved parking space in the recommended parking lot;
and the drive test unit controls the corresponding vehicle gear to work according to the reserved parking space information.
For example, the vehicle-mounted unit at the vehicle end uploads the reserved parking space information, including the target parking lot ID and the target parking space ID, to the cloud platform through the V-BOX, the cloud platform sends the reserved parking space information to the road side unit corresponding to the parking space, the road side unit V2X communication module receives the information and then inputs the information into the main controller, and the road side main controller outputs a control instruction to the car stopper corresponding to the road side unit to control the car stopper to stand up, so that the parking space is prevented from being parked by other vehicles.
It may be appreciated that in this embodiment, the drive test unit may also generate authentication information for verifying whether the vehicle is a reserved vehicle, for example, generate a two-dimensional code, and when the reserved vehicle comes, control the vehicle stop to fall by sweeping the two-dimensional code.
In this embodiment, the vehicle may be in a running state between the above steps, and in this embodiment, navigation may be performed to the reserved parking lot and real-time navigation may be performed regardless of whether reservation is completed or not.
In this embodiment, the vehicle parking space reservation method based on the cloud further includes: the vehicle end judges whether the reservation instruction sent by the user according to the recommended parking lot information can be obtained or not, if not, the vehicle end judges whether the reservation instruction sent by the user according to the recommended parking lot information can be obtained
And the vehicle end generates navigation information from the current location to the parking lot with the highest score.
It may be appreciated that in some cases, the driver does not make an online reservation, but wants to wait for the vehicle to start before looking at the situation, where the cloud-based vehicle parking space reservation method of the present application further includes:
in this embodiment, the vehicle parking space reservation method based on the cloud further includes:
the cloud acquires historical parking space parking information of the parking lot with the highest score;
the cloud end obtains parking space risk information according to the historical parking space parking information of the parking lot with the highest score and sends the parking space risk information to the vehicle end;
the vehicle end judges whether the parking space risk information is higher than a preset threshold value, if yes, the vehicle end judges whether the parking space risk information is higher than the preset threshold value
An inquiry speech is generated.
For example, if a pedestrian leaves an unreserved parking space, the parking space resource at the time of arrival is estimated according to historical parking space parking information stored in the cloud platform. Specifically, the vehicle end retrieves the proportion of the idle parking space at the moment within the first five days of the target parking lot from the cloud platform according to the moment of reaching the target parking lot estimated by the navigation system in the vehicle-mounted unit main control, and takes the average value, namely E f Acquiring current idle parking space proportion E of target parking lot from cloud platform c The comprehensive weighting estimation is carried out on the proportion (namely the parking space risk information) E of the idle parking space when arriving today p ＝0.2E c +0.8E f If E p If the number of the parking lots is less than 5%, the system inquires whether the traveler changes the parking lots through inquiry voice, and if the traveler selects to change the parking lots, the steps can be repeated, namely, the parking lot information of one parking lot except the parking lot with the highest final grading is selected from the parking lots as new recommended parking lot information.
In this embodiment, when the vehicle end determines whether the reservation instruction sent by the user according to the recommended parking lot information is no, the vehicle parking space reservation method based on the cloud end further includes:
the vehicle end judges whether the vehicle reaches the parking lot corresponding to the recommended parking lot information, for example, the real-time position of the vehicle is determined based on a positioning module of the vehicle-mounted unit of the vehicle, the position coordinates of the target parking lot are known, the distance between the two is calculated, if the distance between the two is lower than 100m, the system considers that the vehicle has reached the target parking lot, if yes, the system determines that the vehicle has reached the target parking lot
The vehicle end acquires a parking lot parking space map transmitted by a cloud end and parking space state information;
the vehicle end acquires user preference information;
and the vehicle end generates optimal parking space information according to the user preference information, the parking space map of the parking lot and the parking space state information.
For example, the driver inputs parking preferences through the on-board unit center screen, which is classified as no preference, near the destination entrance, near the parking lot exit; the method comprises the steps of calling a parking lot parking space map and parking space state information from a cloud platform, and accordingly integrating traveler preferences and parking space resources to select an optimal parking space, and comprises the following steps:
a pedestrian preference selection is made. If no preference is selected by the pedestrians, selecting a parking space from near to far according to the distance between the pedestrians and the system by default; if the traveler selects to be close to the destination entrance, the system defaults to select the parking space closest to the destination entrance; if the traveler chooses to approach the exit of the parking lot, the system defaults to choose the nearest berthable parking place to the exit of the parking lot. If the traveler has reserved the parking space, the traveler does not need to select the parking space.
The parking space can be scanned. The parkable space is divided into two types, namely an empty parking space and an upcoming empty parking space. For the first type of parking spaces, the judgment can be performed through the signals of the occupancy sensors of the parking space roadside units. For the second type of parking space, whether the vehicle parked in the parking space is about to drive away or not is comprehensively judged through a parking space road side unit camera and a vehicle bus signal sent by the parked vehicle through the V-BOX. And identifying pedestrian targets around the corresponding parking spaces in real time through the cameras of the road side units, and if the positions of the pedestrians are found to be continuously close to the vehicle and disappear near the vehicle, considering the pedestrians to enter the vehicle by the system. And triggering the information acquisition of vehicles in the parking space, establishing communication with the vehicles V-BOX in the parking space through the vehicle road side unit V2X communication module, acquiring vehicle ignition signals through a vehicle bus by the vehicle-mounted unit, transmitting the vehicle ignition signals through the V-BOX, receiving the vehicle ignition signals through the road side unit V2X communication module, and transmitting the vehicle ignition signals to the cloud platform. If the vehicle ignition signal is acquired within 5 minutes, the system considers that the vehicle which has been parked in the parking space is about to leave. The parking lot cloud platform collects parking space resources meeting the first type and the second type of conditions. If the traveler reserves the parking space, the parking space scanning is not needed.
The vehicle is positioned in real time. As shown in fig. 3, all parking spaces in a known parking lot take the position of a camera of a road side unit as the position coordinates, the position coordinates of an entrance and a destination of the parking lot, and the coordinates of a path point corresponding to the parking space on a driving path of the parking lot. After the vehicle enters the parking lot, the vehicle moves on a path in the parking lot, the actual position of the vehicle can be determined by cameras of parking spaces on two sides of the path, and when the cameras on two sides of the path simultaneously identify the license plate number of the vehicle, the vehicle can be determined.
And locking the target parking space. And screening and determining the optimal parking space in the parking spaces which can be obtained by scanning according to the parking space preference selected by the pedestrians. If the pedestrians do not have preference, selecting a parking space closest to the current position of the vehicle on a feasible path of the vehicle; if the traveler selects to be close to the destination entrance, selecting the parking space closest to the destination entrance; if the traveler selects to be close to the parking lot exit, selecting the parking space closest to the parking lot exit. If the traveler reserves the parking space, the parking space is directly locked.
And (5) parking space navigation. And planning the shortest feasible path from the position of the vehicle to the target parking space in real time, and displaying the shortest feasible path to a traveler through a central control screen.
Judging whether the parking space is reached. According to the real-time positioning of the vehicle in the parking lot, the distance between the vehicle and the target parking space on the planned path can be obtained, if the distance between the vehicle and the target parking space is lower than 2m, the system considers that the vehicle has arrived at the parking space, and the central control screen prompts the pedestrians to park in the parking space.
In this embodiment, if the parking space that the navigation enters is the reserved parking space, when the host vehicle arrives at the target parking space, the cameras of the parking spaces at both sides determine the position of the host vehicle, and send the position of the host vehicle to the cloud platform, the cloud platform respectively sends the host vehicle to the host vehicle, and the host vehicle determines that the parking space has arrived through the vehicle-mounted unit main controller, feeds back the information to the cloud platform, and sends the information to the corresponding parking space roadside unit through the cloud platform. The main controller of the road side unit can output a control instruction to control the car stopper to fall down.
In this embodiment, after the driver controls the vehicle to park into the parking space, the state of the parking space roadside unit placeholder is updated and fed back to the roadside unit main controller, and the roadside main controller sends the state to the cloud platform through the V2X communication module, so that the update of the parking space information in the whole system is realized. And ending the parking space searching process.
The method not only takes the empty space as the target to be parked into the space, but also takes the space to be driven away as the target to be parked into the space, and particularly provides convenient space searching service for users in the peak period of shortage of space resources, and the method for determining the fact that the vehicle is to be driven away is also in the scope of patent protection.
Referring to fig. 2, the application further provides a vehicle parking space reservation system based on a cloud end, the vehicle parking space reservation system based on the cloud end comprises a vehicle end, the cloud end and at least one road side unit, the vehicle end is in communication connection with the cloud end, the cloud end is in communication connection with the road test unit, and the vehicle end, the cloud end and each road test unit cooperate to realize the vehicle parking space reservation system based on the cloud end as described above.
In this embodiment, the vehicle end, the cloud end and at least one road side unit realize information interaction and cooperative control through V2X and ethernet. For convenience of description, the present application considers that both the host vehicle and the parking space occupying vehicle are provided with the vehicle-mounted unit of the system. The vehicle-mounted unit consists of a vehicle-mounted main controller, a vehicle bus, a positioning module, a central control screen and a V-BOX; the vehicle-mounted main controller can obtain various required vehicle state information from a vehicle bus; the positioning module provides accurate position coordinates of the vehicle in real time; human-computer interaction is realized through the central control screen, operation selection of a driver is received, and necessary information is prompted to the driver; the V-BOX and the cloud background realize real-time wireless information interaction, including host vehicle state information, parking space resource dynamic information and the like; the vehicle-mounted main controller is responsible for calculation solving tasks such as navigation, path planning and the like. The road side unit consists of a road side main controller, a car stopper, a occupation sensor, a camera and an Ethernet communication module; the vehicle stopper is arranged on the parking space and used for reserving the parking space remotely by the vehicle; the occupancy sensor is used for identifying whether the parking space is idle; the camera is arranged right above the parking spaces, the position of the camera represents the position of each parking space, and one camera is used for identifying the actions of people getting on or off the vehicle and positioning the vehicle after entering the parking lot; the V2X communication module is used for transmitting parking space state information to the cloud platform. The cloud platform links all vehicles and parking spaces of the system, so that the real-time monitoring and release of parking space information of the parking lot are realized, and the cloud platform is used as an intermediary for interaction of the vehicles and the parking space information.
While the invention has been described in detail in the foregoing general description and with reference to specific embodiments thereof, it will be apparent to one skilled in the art that modifications and improvements can be made thereto. Accordingly, such modifications or improvements may be made without departing from the spirit of the invention and are intended to be within the scope of the invention as claimed.
Claims (10)
1. The vehicle parking space reservation method based on the cloud comprises the following steps:
the vehicle end obtains destination information and sends the destination information to the cloud end;
the cloud end acquires recommended parking lot information according to the destination information and transmits the recommended parking lot information to the vehicle end;
the vehicle end judges whether the reservation instruction sent by the user according to the recommended parking lot information can be obtained or not, if yes, the vehicle end judges whether the reservation instruction sent by the user according to the recommended parking lot information can be obtained
The reservation instruction is sent to the cloud;
and the cloud end communicates with the road side unit of the recommended parking lot according to the reservation instruction, so that the parking place of the recommended parking lot is reserved.
2. The cloud-based vehicle parking spot reservation method of claim 1, wherein the cloud obtaining recommended parking spot information according to destination information and transmitting the recommended parking spot information to a vehicle end comprises:
acquiring position information of each parking lot in a preset range around destination information;
respectively obtaining basic scores of each parking lot according to the position information of each parking lot;
respectively obtaining the estimated arrival idle parking space quantity of each parking lot;
respectively acquiring the parking space resource coefficients of each parking lot according to the estimated number of the idle parking spaces reached by each parking lot;
respectively obtaining the final score of each parking lot according to the parking space resource coefficient of each parking lot and the basic score of each parking lot;
and acquiring the parking lot information of the parking lot with the highest final score as recommended parking lot information.
3. The cloud-based vehicle parking space reservation method of claim 2, wherein the determining, by the vehicle end, whether the reservation instruction sent by the user according to the recommended parking lot information can be acquired comprises:
the vehicle end generates man-machine interaction information according to the parking lot information, wherein the man-machine interaction information comprises parking space distribution plan information, parking space state information and reserved parking space information;
the vehicle end judges whether instruction information fed back by a user after the human-computer interaction information is acquired, if yes, the vehicle end judges whether the instruction information fed back by the user after the human-computer interaction information is acquired
Judging whether the acquired instruction information is reservation information, if so, then
And judging that the reservation instruction sent by the user according to the recommended parking lot information can be acquired.
4. The cloud-based vehicle parking space reservation method as claimed in claim 3, wherein the cloud communicates with a roadside unit recommending a parking lot according to the reservation instruction, thereby reserving a parking space of the recommended parking lot, comprising:
the cloud acquires a reservation instruction, wherein the reservation instruction comprises reservation parking space information;
the cloud end sends reserved parking space information to a drive test unit corresponding to the reserved parking space in the recommended parking lot;
and the drive test unit controls the corresponding vehicle gear to work according to the reserved parking space information.
5. The cloud-based vehicle parking space reservation method of claim 4, wherein the cloud communicates with a roadside unit recommending a parking lot according to the reservation instruction, thereby reserving a parking space of the recommended parking lot further comprises:
the drive test unit generates identity verification information;
the drive test unit sends the identity verification information to a cloud;
and the cloud end sends the identity verification information to the vehicle end.
6. The cloud-based vehicle parking spot reservation method as claimed in claim 5, further comprising:
the vehicle end judges whether the reservation instruction sent by the user according to the recommended parking lot information can be obtained or not, if not, the vehicle end judges whether the reservation instruction sent by the user according to the recommended parking lot information can be obtained
And the vehicle end generates navigation information from the current location to the parking lot with the highest score.
7. The cloud-based vehicle parking spot reservation method of claim 6, further comprising:
the cloud acquires historical parking space parking information of the parking lot with the highest score;
the cloud end obtains parking space risk information according to the historical parking space parking information of the parking lot with the highest score and sends the parking space risk information to the vehicle end;
the vehicle end judges whether the parking space risk information is higher than a preset threshold value, if yes, the vehicle end judges whether the parking space risk information is higher than the preset threshold value
An inquiry speech is generated.
8. The cloud-based vehicle parking spot reservation method of claim 7, further comprising:
acquiring voice information fed back by a user according to the inquiry voice;
judging whether the parking lot information needs to be changed according to the voice information, if so, then
And selecting the parking lot information of one of the parking lots except the parking lot with the highest final score from the parking lots as new recommended parking lot information.
9. The cloud-based vehicle parking spot reservation method of claim 8, wherein when the vehicle end determines whether a reservation instruction sent by a user according to the recommended parking lot information is no, the cloud-based vehicle parking spot reservation method further comprises:
the vehicle end judges whether the vehicle reaches the parking lot corresponding to the recommended parking lot information, if so, the vehicle end judges whether the vehicle reaches the parking lot corresponding to the recommended parking lot information
The vehicle end acquires a parking lot parking space map transmitted by a cloud end and parking space state information;
the vehicle end acquires user preference information;
and the vehicle end generates optimal parking space information according to the user preference information, the parking space map of the parking lot and the parking space state information.
10. The vehicle parking space reservation system based on the cloud comprises a vehicle end, a cloud end and at least one road side unit, wherein the vehicle end is in communication connection with the cloud end, the cloud end is in communication connection with the road test units, and the vehicle end, the cloud end and each road test unit are matched to realize the vehicle parking space reservation method based on the cloud end according to any one of claims 1 to 9.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116817931A (en) * | 2023-08-31 | 2023-09-29 | 中国建筑设计研究院有限公司 | BIM-based reservation navigation system |
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN116817931A (en) * | 2023-08-31 | 2023-09-29 | 中国建筑设计研究院有限公司 | BIM-based reservation navigation system |
| CN116817931B (en) * | 2023-08-31 | 2023-11-24 | 中国建筑设计研究院有限公司 | BIM-based reservation navigation system |
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