CN111862664A - Parking scheduling method and device - Google Patents
Parking scheduling method and device Download PDFInfo
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- CN111862664A CN111862664A CN202010214177.7A CN202010214177A CN111862664A CN 111862664 A CN111862664 A CN 111862664A CN 202010214177 A CN202010214177 A CN 202010214177A CN 111862664 A CN111862664 A CN 111862664A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/123—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams
- G08G1/127—Traffic control systems for road vehicles indicating the position of vehicles, e.g. scheduled vehicles; Managing passenger vehicles circulating according to a fixed timetable, e.g. buses, trains, trams to a central station ; Indicators in a central station
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/145—Traffic control systems for road vehicles indicating individual free spaces in parking areas where the indication depends on the parking areas
- G08G1/148—Management of a network of parking areas
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/14—Traffic control systems for road vehicles indicating individual free spaces in parking areas
- G08G1/149—Traffic control systems for road vehicles indicating individual free spaces in parking areas coupled to means for restricting the access to the parking space, e.g. authorization, access barriers, indicative lights
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Abstract
The utility model relates to a parking scheduling method and a device, which comprises a receiving client end and a scheduling server end, wherein the receiving client end is used for receiving the real-time position information of a vehicle reported in the initial navigation process; determining a recommended parking lot from parking lots in a target area based on a scheduling factor under the condition that the vehicle is judged to enter the target area according to the real-time position information, wherein the scheduling factor represents a parameter influencing parking lot recommendation; and returning the information of the recommended parking lot to the client. By directly returning the better information of the recommended parking lot to the client, the parking scheduling method and the parking scheduling device according to the embodiment of the disclosure reduce the decision cost of the user, facilitate the user to complete parking quickly, and improve the convenience of the driving service.
Description
The present application claims priority of chinese patent application with application number 201910280708.X entitled "a parking scheduling method and apparatus" filed by the chinese patent office in 2019, 4, 9, and which is incorporated herein by reference in its entirety.
Technical Field
The disclosure relates to the technical field of intelligent traffic, in particular to a parking scheduling method and device.
Background
In the related technology, when a user needs to park, the user can log in a parking application which is independently researched and issued by different manufacturers, and the position and the parking space state of a parking lot near a destination can be checked in the parking application. The parking application presents the real-time parking status of the parking lot to the viewing user. The user can independently select a parking lot and navigate to the parking lot by himself to find parking spaces. In the method, the user needs to think with distraction, and the safety in a driving scene is reduced.
Disclosure of Invention
In view of this, the present disclosure provides a parking scheduling method and device, and the specific implementation manner is as follows:
according to a first aspect of the present disclosure, there is provided a parking scheduling method, the method including:
receiving real-time position information of a vehicle reported by a client in an initial navigation process;
determining a recommended parking lot from parking lots in a target area based on a scheduling factor under the condition that the vehicle is judged to enter the target area according to the real-time position information, wherein the scheduling factor represents a parameter influencing parking lot recommendation;
and returning the information of the recommended parking lot to the client.
According to a second aspect of the present disclosure, there is provided a parking scheduling method, the method including:
starting an initial navigation process with an initial destination as a destination;
reporting real-time position information of the vehicle to a server in the initial navigation process, so that the server determines a recommended parking lot from parking lots in a target area based on a scheduling factor under the condition that the server judges that the vehicle enters the target area according to the real-time position information, wherein the scheduling factor represents a parameter influencing parking lot recommendation;
and broadcasting the information of the recommended parking lot in a voice mode under the condition of receiving the information of the recommended parking lot sent by the server.
According to a third aspect of the present disclosure, there is provided a parking scheduling apparatus comprising a processor and a memory for storing processor-executable instructions, the instructions when executed by the processor implement:
receiving real-time position information of a vehicle reported by a client in an initial navigation process;
determining a recommended parking lot from parking lots in a target area based on a scheduling factor under the condition that the vehicle is judged to enter the target area according to the real-time position information, wherein the scheduling factor represents a parameter influencing parking lot recommendation;
And returning the information of the recommended parking lot to the client.
According to a fourth aspect of the present disclosure, there is provided a parking scheduling apparatus comprising a processor and a memory for storing processor-executable instructions, the instructions when executed by the processor implement:
starting an initial navigation process with an initial destination as a destination;
reporting real-time position information of the vehicle to a server in the initial navigation process, so that the server determines a recommended parking lot from parking lots in a target area based on a scheduling factor under the condition that the server judges that the vehicle enters the target area according to the real-time position information, wherein the scheduling factor represents a parameter influencing parking lot recommendation;
and broadcasting the information of the recommended parking lot in a voice mode under the condition of receiving the information of the recommended parking lot sent by the server.
According to a fifth aspect of the present disclosure, there is provided a non-transitory computer readable storage medium having stored thereon computer program instructions, wherein the computer program instructions, when executed by a processor, implement the above-described method.
According to the method and the device, after the vehicle enters the target area, the recommended parking lot can be determined from the parking lots in the target area based on the scheduling factor, so that the information of the better recommended parking lot is directly returned to the client side for the user to refer to. Therefore, on one hand, the parking lot is determined based on the scheduling factors, the adaptability of the vehicle and the parking lot is improved, the user is ensured to stop at the parking place, the road violation is reduced, the average vehicle inspection time is reduced, the regional parking bearing capacity and the turnover efficiency are improved, and the road congestion and the carbon emission are reduced; on the other hand, the low-efficiency search of the original user for subjectively selecting the parking lot is converted into more efficient intelligent recommendation, the efficiency of selecting the parking lot by the user is improved, the user decision cost is reduced, the user can complete parking quickly, and the convenience of driving service is improved.
Other features and aspects of the present disclosure will become apparent from the following detailed description of exemplary embodiments, which proceeds with reference to the accompanying drawings.
Drawings
The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate exemplary embodiments, features, and aspects of the disclosure and, together with the description, serve to explain the principles of the disclosure.
Fig. 1 shows a flowchart of a parking scheduling method according to an embodiment of the present disclosure.
Fig. 2 shows a flowchart of a parking scheduling method according to an embodiment of the present disclosure.
Fig. 3 shows an interactive flowchart of a parking scheduling method according to an embodiment of the present disclosure.
Fig. 4 is a schematic diagram illustrating an application process of a parking scheduling method according to an embodiment of the present disclosure.
Fig. 5 shows a block diagram of a parking scheduling device according to an embodiment of the present disclosure.
Fig. 6 shows a block diagram of a parking scheduling device according to an embodiment of the present disclosure.
Detailed Description
Various exemplary embodiments, features and aspects of the present disclosure will be described in detail below with reference to the accompanying drawings. In the drawings, like reference numbers can indicate functionally identical or similar elements. While the various aspects of the embodiments are presented in drawings, the drawings are not necessarily drawn to scale unless specifically indicated.
The word "exemplary" is used exclusively herein to mean "serving as an example, embodiment, or illustration. Any embodiment described herein as "exemplary" is not necessarily to be construed as preferred or advantageous over other embodiments.
Furthermore, in the following detailed description, numerous specific details are set forth in order to provide a better understanding of the present disclosure. It will be understood by those skilled in the art that the present disclosure may be practiced without some of these specific details. In some instances, methods, means, elements and circuits that are well known to those skilled in the art have not been described in detail so as not to obscure the present disclosure.
Fig. 1 shows a flowchart of a parking scheduling method according to an embodiment of the present disclosure. The method can be applied to the server side. As shown in fig. 1, the method may include:
and step S11, receiving the real-time position information of the vehicle reported by the client in the initial navigation process.
And step S12, determining a recommended parking lot from the parking lots in the target area based on a scheduling factor under the condition that the vehicle is judged to enter the target area according to the real-time position information.
Wherein the scheduling factor represents a parameter that affects parking lot recommendations.
And step S13, returning the information of the recommended parking lot to the client.
In the embodiment of the disclosure, after a vehicle enters a target area, a recommended parking lot can be determined from parking lots in the target area based on a scheduling factor, so that information of the better recommended parking lot is directly returned to a client for reference of a user. Therefore, on one hand, the parking lot is determined based on the scheduling factors, the adaptability of the vehicle and the parking lot is improved, the user is ensured to stop at the parking place, the road violation is reduced, the average vehicle inspection time is reduced, the regional parking bearing capacity and the turnover efficiency are improved, and the road congestion and the carbon emission are reduced; on the other hand, the low-efficiency search of the original user for subjectively selecting the parking lot is converted into more efficient intelligent recommendation, the efficiency of selecting the parking lot by the user is improved, the user decision cost is reduced, the user can complete parking quickly, and the convenience of driving service is improved.
In step S11, the client may be configured to report the real-time location information of the vehicle to the server and report the information of the recommended parking lot to the user. In one example, the client may be a navigation application, navigation applet, or the like. The client can be installed in a mobile terminal such as a mobile phone, a tablet or a notebook computer, and can also be installed in a vehicle. For a client installed in a mobile terminal: the client can acquire the real-time position information of the mobile terminal through a positioning module of the mobile terminal and determine the real-time position information of the mobile terminal as the real-time position information of the vehicle; or the client can establish wireless communication with the vehicle and acquire the real-time position information of the vehicle through the vehicle-mounted positioning device. For a client installed in a vehicle: the client can directly acquire the real-time position information of the vehicle from the vehicle-mounted positioning device. The installation position of the client and the manner in which the client acquires the real-time position information of the vehicle are not limited in the embodiments of the present disclosure.
The initial navigation process may be used to represent a navigation process that is destined for an initial destination. In one example, after a user enters a destination (i.e., an initial destination) in the client and issues an instruction to start navigation, the client may initiate a navigation process (i.e., an initial navigation process) with the destination entered by the user as the destination. In one example, the user may input the destination by voice and issue an instruction to start navigation, for example, when the user says "go to mall a", the client may determine mall a "as the initial destination, and when the user says" start navigation ", the client may start the initial navigation process with mall a" as the destination.
During the initial navigation process, the client can report the real-time position information of the vehicle to the server. The server side can determine the real-time position of the vehicle according to the real-time position information of the vehicle reported by the client side.
In step S12, the target area may be used to characterize a determined range of the recommended parking lot, that is, a parking range acceptable to the user. The server side can determine whether the vehicle enters the target area according to the real-time position of the vehicle. When the vehicle enters the target area, the fact that the vehicle is close to a place where the user wants to go is indicated, the user generates a parking demand, and the server side needs to determine a recommended parking lot for the user to park. When the vehicle does not enter the target area, the fact that the vehicle is far away from the place where the user wants to go is shown, the user does not need to park, and the server does not need to determine the recommended parking lot.
In one possible implementation, a preset peripheral area of the destination of the initial navigation process may be determined as the target area. The destination input by the user in the navigation application is the place the user wants to go, so the preset peripheral area of the destination of the initial navigation process is the acceptable parking range of the user. In one example, the preset peripheral area of the destination of the initial navigation process may represent an area of a certain range around the destination of the initial navigation process, for example, a circular area with a designated length as a radius centered at the destination of the initial navigation process. The specified length may be set as required, and may be, for example, 2km or 3km, and the like, which is not limited in this disclosure. The predetermined peripheral area may also be a rectangle, a triangle, or a trapezoid, etc., and the disclosure is not limited thereto.
In a possible implementation manner, in the case that a midway parking request is received, a point to be parked is determined, and a preset peripheral area of the point to be parked is determined as a target area. The user may need to stop halfway (e.g., eat, rest, add oil, etc.) before reaching the initial destination. At the moment, the user can send a midway parking instruction to the client, the client can determine the position information of the point to be parked according to the received midway parking instruction, and then generates a midway parking request and sends the midway parking request to the server according to the position information of the point to be parked. The service end can determine the point to be parked according to the position information of the point to be parked carried in the midway parking request under the condition that the midway parking request is received, and determines the preset peripheral area of the point to be parked as the target area. The midway parking instruction can be a voice instruction. For example, when the user says "stop nearby" (or "stop rest", "temporary stop", etc.), the client may determine the real-time location information of the vehicle at the current time as the location information of the point to be stopped. In one example, the preset peripheral area of the point to be parked may represent an area of a certain range around the point to be parked, for example, a circular area with a radius of a specified length centered on the point to be parked. The specified length may be set as required, and may be, for example, 2km or 3km, and the like, which is not limited in this disclosure. The predetermined peripheral area may also be a rectangle, a triangle, or a trapezoid, etc., and the disclosure is not limited thereto.
The server side can determine whether the vehicle enters the target area according to the real-time position information of the vehicle. If the server determines that the vehicle enters the target area according to the real-time position information of the vehicle, the user is indicated to be close to the place where the user wants to park, and the user needs to enter the parking lot for parking as soon as possible. At this time, the server may determine a recommended parking lot from the parking lots in the target area based on the scheduling factor.
In embodiments of the present disclosure, the scheduling factor may represent a parameter that affects parking lot recommendations. In one example, the scheduling factor may include one or more of a distance of a parking lot from a destination, a walking length of the parking lot to the destination, a time required for a vehicle to reach the parking lot from a current location, a distance of the vehicle current location from the parking lot, a number of remaining parking spaces of the parking lot, a charge price per unit time of the parking lot, entrance queuing information, a number of visits by a current user, and a parking space turnover rate of the parking lot, wherein the parking space turnover rate of the parking lot represents a busy degree of the parking lot.
The unit time may be set as needed, and may be 1 hour or half an hour. The turnover rate of parking stall in parking area represents the busy degree in parking area, and for example, the turnover rate of parking stall in parking area can indicate the number of times that every parking stall in the parking area was average to be parked in a certain time, can adopt the quantity of the car of parking area accumulation parking in a certain time to show with the ratio of the quantity of parking stall in the parking area.
In a possible implementation manner, the scheduling factor may further include information related to the charging pile. For example, the number of charging piles, the charging price of the charging piles, the types of the charging piles, and the like. In one example, the remaining number of parking spaces in the parking lot may include the number of all parking spaces remaining in the parking lot and/or the number of parking spaces equipped with charging posts among the remaining parking spaces in the parking lot. In yet another example, the charge price per unit time of the parking lot may include a parking price per unit time of the parking lot and/or a charge price per unit time of a charging post equipped to the parking lot.
Through using the relevant information of charging pile as the scheduling factor, can provide the parking facility for new energy automobile, be favorable to new energy automobile in time to supply the electric energy.
In one possible implementation manner, determining a recommended parking lot from the parking lots in the target area based on the scheduling factor may include: determining a scheduling factor of each parking lot and the weight of each scheduling factor aiming at each parking lot in the target area, and determining the score of each parking lot based on the weighted scheduling factors; and selecting the recommended parking lot from the parking lots in the target area according to the scores of the parking lots in the target area.
In one example, the following formula may be employed to determine the score for a parking lot: w is R1/number of remaining parking spaces in the parking lot + R2 + distance between the current position of the vehicle and the parking lot + R3 + time required for the vehicle to reach the parking lot from the current position + R4 + length of walking time from the parking lot to the destination + R5-parking lot unit time charge price.
Wherein w is the score of the parking lot; the number of remaining parking spaces in the parking lot, the distance between the current position of the vehicle and the parking lot, the time required for the vehicle to reach the parking lot from the current position, the walking time from the parking lot to the destination and the charge price per unit time of the parking lot are scheduling factors of the parking lot; r1, R2, R3, R4, and R5 are coefficients corresponding to scheduling factors, and R1, R2, R3, R4, and R5 are all numbers greater than or equal to 0.
Wherein, R1, R2, R3, R4 and R5 may represent the magnitude of the influence of the corresponding scheduling factor on the score, and these coefficients may be set as required, the larger the coefficient is, the larger the influence of the corresponding scheduling factor on the score is, the smaller the coefficient is, the smaller the influence of the corresponding scheduling factor on the score is.
The larger the number of remaining parking spaces in the parking lot, the smaller the distance between the current position of the vehicle and the parking lot, the shorter the time required for the vehicle to reach the parking lot from the current position, the shorter the walking time from the parking lot to the destination, and the lower the charge price per unit time of the parking lot, the lower the score of the parking lot, and the higher the priority of the parking lot. Conversely, the higher the score of the parking lot, the less preferred the parking lot is. The server can sort the parking lots in the target area according to the sequence of the scores from low to high, and determines the parking lot in front of the sorting as the recommended parking lot.
When the number of the remaining parking spaces in the parking lot is 0, the value of the item R1/the number of the remaining parking spaces in the parking lot is a maximum value and is far larger than the normally calculated score, and the fact that the parking lot is unavailable is shown, and the situation is consistent with the actual situation.
In step S13, the server may return information of the recommended parking lot to the client. The information of the recommended parking lot may include the location information and name of the recommended parking lot, and a recommended reason of the recommended parking lot, such as that the walking time of the parking lot to the destination is shortest, the time required for the vehicle to reach the parking lot from the current location is shortest, the number of remaining parking spaces of the parking lot is greatest, the charge price per unit time of the parking lot is lowest, or the comprehensive evaluation of the parking lot is optimal, and the disclosure is not limited thereto.
In one possible implementation, the method may further include: under the condition that a first navigation request sent by the client is received, replanning a route by taking the recommended parking lot as a destination to obtain a first route, wherein the first navigation request is used for representing a navigation request from the current position of a vehicle to the recommended parking lot; and returning the first route to the client so as to enable the client to start a first navigation process taking the recommended parking lot as a destination.
When the user confirms that the user wants to park in the recommended parking lot through the client, the client can send a first navigation request for driving from the current position of the vehicle to the recommended parking lot to the server. When the server receives the first navigation request, the route can be re-planned by taking the recommended parking lot as a destination, and the re-planned route is called a first route. The server may return the first route to the client. After receiving the first route, the client may start a first navigation process according to the first route. Since the destination of the first route is the recommended parking lot, the destination of the first navigation process is also the recommended parking lot.
In one possible implementation, the method may further include: under the condition that a second navigation request sent by the client is received, replanning a route by taking an initial destination as a destination to obtain a second route, wherein the initial destination is the destination of the initial navigation process, and the second navigation request is used for representing the navigation request from the recommended parking lot to the initial destination; returning the second route to the client to cause the client to initiate a second navigation process that is destined for the initial destination.
When the user arrives at the recommended parking lot, or the user changes attention not to the recommended parking lot, the user may end the first navigation process. In case the first navigation process is finished, the user may give an instruction to the client to continue the navigation. When the client receives the instruction of continuing navigation, the user wants to continue to reach the destination, and the client can re-plan the route with the initial destination as the destination, wherein the re-planned route is called a second route. The server may return the second route to the client. After receiving the second route, the client may start a second navigation process according to the second route. Since the destination of the second route is the initial destination, the destination of the second navigation process is also the recommended parking lot.
If the user ends the first navigation process by arriving at the recommended parking lot under the condition that the target area is a preset peripheral area of the destination of the initial navigation process, the travel mode of the second navigation process may be a non-self-driving mode such as walking or riding.
If the user does not want to recommend the parking lot and ends the first navigation process under the condition that the target area is the preset peripheral area of the destination in the initial navigation process, the travel mode of the second navigation process can still be the self-driving mode.
The traveling mode of the second navigation process may be a self-driving mode in a case where the target area is a preset peripheral area of the point to be parked.
It will be appreciated that the first route and the start of the first navigation process are the real-time location of the vehicle at the time the client sends the first navigation request; the second route and the initiation of the second navigation process are the real-time location of the vehicle at the time the client sends the second navigation request.
It should be noted that before the vehicle arrives at the recommended parking lot, the number of remaining parking spaces in each parking lot in the target area and the congestion degree of the planned route may change, so that before the vehicle arrives at the recommended parking lot, the server may update the scheduling factors of each parking lot in the target area at certain time intervals, re-determine the scores of the parking lots based on the updated scheduling factors, and re-select the recommended parking lot, thereby providing the parking lot more suitable for the current situation to the user. The step S12 may be referred to for the scheduling factor, the score of each parking lot is re-determined based on the updated scheduling factor, and the recommended parking lot is re-selected, which is not described herein again. The time interval for updating the scheduling factor may be set as required, for example, 10 minutes, and the like, and the disclosure is not limited thereto.
Fig. 2 shows a flowchart of a parking scheduling method according to an embodiment of the present disclosure. The method can be applied to a client. As shown in fig. 2, the method may include:
in step S21, an initial navigation process is initiated with an initial destination as a destination.
Step S22, reporting the real-time position information of the vehicle to a server in the initial navigation process, so that the server determines a recommended parking lot from the parking lots in the target area based on a scheduling factor under the condition that the server determines that the vehicle enters the target area according to the real-time position information.
Wherein the scheduling factor represents a parameter that affects parking lot recommendations.
And step S23, broadcasting the information of the recommended parking lot in a voice mode under the condition of receiving the information of the recommended parking lot sent by the server.
In the embodiment of the disclosure, a better parking lot nearby can be recommended for the user in the navigation process, the thinking cost of the user is reduced, the information of the recommended parking lot is broadcasted in a voice mode, the user can know the recommended parking lot conveniently, the user can feel more convenient driving service, and the driving safety is improved.
After the user inputs a destination (i.e., an initial destination) in the client and performs a navigation operation, the client may start a navigation process (i.e., an initial navigation process) with the input destination as the destination in step S21. During the initial navigation process, the client may obtain the vehicle's enforcement location information.
In step S22, the client may report the acquired real-time location information of the vehicle to the server, so that the server determines the recommended parking lot. The process of the server determining the recommended parking lot may refer to steps S11 to S13, which are not described herein.
In step S23, the client may receive the information of the recommended parking lot sent by the server, and broadcast the information of the recommended parking lot in a voice broadcast manner. The recommended parking lot information may refer to step S23, and will not be described herein.
In one possible implementation, the method further includes: if a confirmation instruction aiming at the recommended parking lot is received within a specified time, initiating a first navigation request with the recommended parking lot as a destination to enable the server to plan a first route with the recommended parking lot as the destination; and starting a first navigation process taking the recommended parking lot as a destination under the condition of receiving the first route returned by the server.
The designated time may be set as needed, for example, the designated time may be set to 10 seconds or 15 seconds. If the confirmation instruction aiming at the recommended parking lot is received within the specified time, the user wants to park in the recommended parking lot, and at the moment, the client can initiate a first navigation request taking the recommended parking lot as a destination. And after receiving the first navigation request, the server replans the route by taking the recommended parking lot as a destination, and returns the replanned first route to the client. And then, the client can navigate according to the first route, so that the user is guided to the recommended parking lot to park.
In one possible implementation, the method further includes: continuing the initial navigation process in the case that a confirmation instruction for the recommended parking lot is not received or a abandonment instruction for the recommended parking lot is received within a specified time.
If the confirmation instruction aiming at the recommended parking lot is not received within the specified time or the abandoning instruction aiming at the recommended parking lot is received within the specified time, which indicates that the user is possibly dissatisfied with the recommended parking lot, the client-side can continue the initial navigation process. Certainly, in the initial navigation process, the server may determine other recommended parking lots to the user, and in the process of determining other parking lots, the server may adjust the weight of the scheduling factor. For example, the server determines that the parking lot with a large number of remaining parking spaces is the recommended parking lot for the first time, and the server may determine that the parking lot with a low charging price or a short entrance queuing time is the recommended parking lot for the second time.
Wherein the confirmation instruction (or abandon instruction) comprises one or more of a voice instruction, a gesture instruction and a trigger instruction of a vehicle button. In one example, a gesture instruction to swing a hand to the right against the screen represents a relinquish instruction, and a gesture instruction to swing a hand to the left against the screen represents a relinquish instruction. In yet another example, clicking the "ok" key of the steering wheel indicates a confirm instruction, and clicking the "cancel" key of the steering wheel indicates a give up instruction.
In the embodiment of the disclosure, the recommended parking lot is confirmed or abandoned through the voice command, the gesture command and the trigger command of the vehicle-mounted button, the operation cost is low, and the driving safety is improved. Especially, voice instructions are omitted, manual operation of a user is omitted, and driving safety is higher.
In one possible implementation, the method further includes: under the condition of receiving a midway parking instruction, acquiring position information of a point to be parked; generating a midway parking request according to the position information of the point to be parked; and sending the midway parking request to the server side so that the server side can determine the recommended parking lot for the point to be parked in the preset peripheral area of the point to be parked.
Referring to the method for recommending a parking lot shown in fig. 1, the description is omitted here.
In one possible implementation, the method further includes: under the condition that the first navigation process is finished, if an instruction for continuing navigation is received, initiating a second navigation request taking the initial destination as a destination so that the server plans a second route taking the initial destination as the destination; and starting a second navigation process taking the initial destination as a destination under the condition of receiving the second route returned by the server.
Referring to the method for recommending a parking lot shown in fig. 1, the description is omitted here.
Fig. 3 shows an interactive flowchart of a parking scheduling method according to an embodiment of the present disclosure. As shown in fig. 3, the method may include:
in step S31, the user opens the navigation application.
In step S32, the user inputs a destination in the navigation application and issues an instruction to start navigation.
In step S33, the navigation application takes the destination input by the user as an initial destination and initiates an initial navigation process with the initial destination as the destination.
Step S34, in the initial navigation process, the navigation application reports the real-time location information of the vehicle to the server.
And step S35, the server judges whether the vehicle enters the target area according to the real-time position information.
The target area is a preset peripheral area of the initial destination.
In step S36, in the case where the vehicle enters the preset peripheral area of the initial destination, the server may determine a recommended parking lot from among the parking lots in the preset peripheral area based on the scheduling factor.
And step S37, the server returns the information of the recommended parking lot to the navigation application.
In step S38, the navigation application broadcasts the information of the recommended parking lot to the user in a voice manner.
A step S39 of, in a case where a confirmation instruction for the recommended parking lot is received within a specified time, the navigation application executing steps S40 to S46; in a case where the confirmation instruction for the recommended parking lot is not received or the abandonment instruction for the recommended parking lot is received within the specified time, the navigation application executes step S47.
In step S39, the navigation application initiates a first navigation request destined for the recommended parking lot.
Step S40, when receiving the first navigation request sent by the navigation application, the server replans the route with the recommended parking lot as the destination to obtain the first route.
In step S41, the server returns the first route to the navigation application.
In step S42, the navigation application starts a first navigation process with the recommended parking lot as a destination in the case of receiving the first route returned by the server.
Step S43, when the first navigation process is finished, if an instruction to continue navigation is received, the navigation application initiates a second navigation request with the initial destination as a destination;
step S44, when receiving the second navigation request sent by the navigation application, the server re-plans the route with the initial destination as the destination to obtain a second route.
In step S45, the server returns the second route to the navigation application.
And step S46, under the condition that the second route returned by the server is received, the navigation application starts a second navigation process taking the initial destination as the destination.
In step S47, the navigation application continues with the initial navigation process.
Application example
Fig. 4 is a schematic diagram illustrating an application process of a parking scheduling method according to an embodiment of the present disclosure. As shown in fig. 4, the navigation application starts an initial navigation process and reports real-time location information of the vehicle to the server. And after the server determines that the vehicle enters the target area, determining a recommended parking lot from all parking lots in the target area, and returning the information of the recommended parking lot to the navigation application. The target area may be a circular area with a radius of 200 meters and the initial destination as a center.
The navigation application audibly broadcasts to the user the name of the recommended parking lot, the number of remaining slots, and the distance (and time) to walk to reach the initial destination. Meanwhile, the navigation application can also display the route and the congestion degree of the vehicle from the current position to the recommended parking lot in the navigation interface.
And after the broadcasting is finished, the navigation application enters a state of receiving a voice command and starts timing. If the user arrives at the confirmation instruction for the recommended parking lot within the specified time to the navigation application (e.g., the user says "go to the parking lot" within 10 seconds), the navigation application starts a first navigation process with the recommended parking lot as a destination to navigate the vehicle to the recommended parking lot.
For the above method, as shown in fig. 5, the present disclosure also provides a parking scheduling apparatus, where the apparatus includes a processor and a memory for storing processor-executable instructions, and the processor executes the instructions to implement:
receiving real-time position information of a vehicle reported by a client in an initial navigation process;
determining a recommended parking lot from parking lots in a target area based on a scheduling factor under the condition that the vehicle is judged to enter the target area according to the real-time position information, wherein the scheduling factor represents a parameter influencing parking lot recommendation;
and returning the information of the recommended parking lot to the client.
In one possible implementation, the processor further implements the steps of:
and determining a preset peripheral area of the destination in the initial navigation process as the target area.
In one possible implementation, the processor further implements the steps of:
under the condition of receiving a midway parking request, determining a point to be parked;
and determining a preset peripheral area of the point to be parked as the target area.
In one possible implementation, the processor further implements the steps of:
Under the condition that a first navigation request sent by the client is received, replanning a route by taking the recommended parking lot as a destination to obtain a first route, wherein the first navigation request is used for representing a navigation request from the current position of a vehicle to the recommended parking lot;
and returning the first route to the client so as to enable the client to start a first navigation process taking the recommended parking lot as a destination.
In one possible implementation, the processor further implements the steps of:
under the condition that a second navigation request sent by the client is received, replanning a route by taking an initial destination as a destination to obtain a second route, wherein the initial destination is the destination of the initial navigation process, and the second navigation request is used for representing the navigation request from the recommended parking lot to the initial destination;
returning the second route to the client to cause the client to initiate a second navigation process that is destined for the initial destination.
In one possible implementation, the scheduling factor includes one or more of a distance between the parking lot and the destination, a walking time period between the parking lot and the destination, a time required for the vehicle to reach the parking lot from the current position, a distance between the current position of the vehicle and the parking lot, a number of remaining parking spaces in the parking lot, a charge price per unit time of the parking lot, entrance queuing information, a number of accesses by the current user, and a parking space turnover rate of the parking lot, wherein the parking space turnover rate of the parking lot indicates a busy degree of the parking lot.
In one possible implementation manner, the processor, when implementing the step of determining the recommended parking lot from the parking lots in the target area based on the scheduling factor, includes:
determining a scheduling factor of each parking lot and the weight of each scheduling factor aiming at each parking lot in the target area, and determining the score of each parking lot based on the weighted scheduling factors;
and selecting the recommended parking lot from the parking lots in the target area according to the scores of the parking lots in the target area.
For the above method, as shown in fig. 6, the present disclosure also provides a parking scheduling apparatus, which includes a processor and a memory for storing processor-executable instructions, and when the processor executes the instructions, the processor implements:
starting an initial navigation process with an initial destination as a destination;
reporting real-time position information of the vehicle to a server in the initial navigation process, so that the server determines a recommended parking lot from parking lots in a target area based on a scheduling factor under the condition that the server judges that the vehicle enters the target area according to the real-time position information, wherein the scheduling factor represents a parameter influencing parking lot recommendation;
And broadcasting the information of the recommended parking lot in a voice mode under the condition of receiving the information of the recommended parking lot sent by the server.
In one possible implementation, the processor further implements the steps of:
under the condition of receiving a midway parking instruction, acquiring position information of a point to be parked;
generating a midway parking request according to the position information of the point to be parked;
and sending the midway parking request to the server side so that the server side can determine the recommended parking lot for the point to be parked in the preset peripheral area of the point to be parked.
In one possible implementation, the processor further implements the steps of:
if a confirmation instruction aiming at the recommended parking lot is received within a specified time, initiating a first navigation request with the recommended parking lot as a destination to enable the server to plan a first route with the recommended parking lot as the destination;
and starting a first navigation process taking the recommended parking lot as a destination under the condition of receiving the first route returned by the server.
In one possible implementation, the processor further implements the steps of:
Under the condition that the first navigation process is finished, if an instruction for continuing navigation is received, initiating a second navigation request taking the initial destination as a destination so that the server plans a second route taking the initial destination as the destination;
and starting a second navigation process taking the initial destination as a destination under the condition of receiving the second route returned by the server.
In one possible implementation, the confirmation instruction includes one or more of a voice instruction, a gesture instruction, and a trigger instruction of a car button.
In one possible implementation, the processor further implements the steps of:
continuing the initial navigation process in the case that a confirmation instruction for the recommended parking lot is not received or a abandonment instruction for the recommended parking lot is received within a specified time.
Another aspect of the present disclosure also provides a computer-readable storage medium having stored thereon computer instructions which, when executed, implement the steps of the method of any of the above embodiments.
The computer readable storage medium may include physical means for storing information, typically by digitizing the information for storage on a medium using electrical, magnetic or optical means. The computer-readable storage medium according to this embodiment may include: devices that store information using electrical energy, such as various types of memory, e.g., RAM, ROM, etc.; devices that store information using magnetic energy, such as hard disks, floppy disks, tapes, core memories, bubble memories, and usb disks; devices that store information optically, such as CDs or DVDs. Of course, there are other ways of storing media that can be read, such as quantum memory, graphene memory, and so forth.
In the 90 s of the 20 th century, improvements in a technology could clearly distinguish between improvements in hardware (e.g., improvements in circuit structures such as diodes, transistors, switches, etc.) and improvements in software (improvements in process flow). However, as technology advances, many of today's process flow improvements have been seen as direct improvements in hardware circuit architecture. Designers almost always obtain the corresponding hardware circuit structure by programming an improved method flow into the hardware circuit. Thus, it cannot be said that an improvement in the process flow cannot be realized by hardware physical modules. For example, a Programmable Logic Device (PLD), such as a Field Programmable Gate Array (FPGA), is an integrated circuit whose Logic functions are determined by programming the Device by a user. A digital system is "integrated" on a PLD by the designer's own programming without requiring the chip manufacturer to design and fabricate application-specific integrated circuit chips. Furthermore, nowadays, instead of manually making an integrated Circuit chip, such Programming is often implemented by "logic compiler" software, which is similar to a software compiler used in program development and writing, but the original code before compiling is also written by a specific Programming Language, which is called Hardware Description Language (HDL), and HDL is not only one but many, such as abel (advanced Boolean Expression Language), ahdl (alternate Language Description Language), traffic, pl (core unified Programming Language), HDCal, JHDL (Java Hardware Description Language), langue, Lola, HDL, laspam, hardsradware (Hardware Description Language), vhjhd (Hardware Description Language), and vhigh-Language, which are currently used in most common. It will also be apparent to those skilled in the art that hardware circuitry that implements the logical method flows can be readily obtained by merely slightly programming the method flows into an integrated circuit using the hardware description languages described above.
The controller may be implemented in any suitable manner, for example, the controller may take the form of, for example, a microprocessor or processor and a computer-readable medium storing computer-readable program code (e.g., software or firmware) executable by the (micro) processor, logic gates, switches, an Application Specific Integrated Circuit (ASIC), a programmable logic controller, and an embedded microcontroller, examples of which include, but are not limited to, the following microcontrollers: ARC 625D, Atmel AT91SAM, Microchip PIC18F26K20, and Silicone Labs C8051F320, the memory controller may also be implemented as part of the control logic for the memory. Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may thus be considered a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by a product with certain functions. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a cellular telephone, a camera phone, a smartphone, a personal digital assistant, a media player, a navigation device, an email device, a game console, a tablet computer, a wearable device, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various units by function, and are described separately. Of course, the functionality of the units may be implemented in one or more software and/or hardware when implementing the present application.
As will be appreciated by one skilled in the art, embodiments of the present invention may be provided as a method, system, or computer program product. Accordingly, the present invention may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present invention may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory. The memory may include forms of volatile memory in a computer readable medium, Random Access Memory (RAM) and/or non-volatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of a computer-readable medium.
Computer-readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of computer storage media include, but are not limited to, phase change memory (PRAM), Static Random Access Memory (SRAM), Dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), Read Only Memory (ROM), Electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), Digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape magnetic disk storage or other magnetic storage devices, or any other non-transmission medium that can be used to store information that can be accessed by a computing device. As defined herein, a computer readable medium does not include a transitory computer readable medium such as a modulated data signal and a carrier wave.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method, article, or apparatus that comprises the element.
As will be appreciated by one skilled in the art, embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The application may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. The application may also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment.
The above description is only an example of the present application and is not intended to limit the present application. Various modifications and changes may occur to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application should be included in the scope of the claims of the present application.
Claims (27)
1. A method of parking scheduling, the method comprising:
receiving real-time position information of a vehicle reported by a client in an initial navigation process;
determining a recommended parking lot from parking lots in a target area based on a scheduling factor under the condition that the vehicle is judged to enter the target area according to the real-time position information, wherein the scheduling factor represents a parameter influencing parking lot recommendation;
And returning the information of the recommended parking lot to the client.
2. The method of claim 1, further comprising:
and determining a preset peripheral area of the destination in the initial navigation process as the target area.
3. The method of claim 1, further comprising:
under the condition of receiving a midway parking request, determining a point to be parked;
and determining a preset peripheral area of the point to be parked as the target area.
4. The method of claim 1, further comprising:
under the condition that a first navigation request sent by the client is received, replanning a route by taking the recommended parking lot as a destination to obtain a first route, wherein the first navigation request is used for representing a navigation request from the current position of a vehicle to the recommended parking lot;
and returning the first route to the client so as to enable the client to start a first navigation process taking the recommended parking lot as a destination.
5. The method of claim 4, further comprising:
under the condition that a second navigation request sent by the client is received, replanning a route by taking an initial destination as a destination to obtain a second route, wherein the initial destination is the destination of the initial navigation process, and the second navigation request is used for representing the navigation request from the recommended parking lot to the initial destination;
Returning the second route to the client to cause the client to initiate a second navigation process that is destined for the initial destination.
6. The method of claim 1, wherein the scheduling factor comprises one or more of a distance of the parking lot from the destination, a walking length of time of the parking lot to the destination, a time required for the vehicle to reach the parking lot from the current location, a distance of the current location of the vehicle from the parking lot, a number of remaining parking spaces of the parking lot, a charge price per unit time of the parking lot, entrance queuing information, a number of visits by the current user, and a parking space turnover rate of the parking lot, wherein the parking space turnover rate of the parking lot indicates a busy degree of the parking lot.
7. The method of claim 6, wherein determining a recommended parking lot from the parking lots in the target area based on the scheduling factor comprises:
determining a scheduling factor of each parking lot and the weight of each scheduling factor aiming at each parking lot in the target area, and determining the score of each parking lot based on the weighted scheduling factors;
and selecting the recommended parking lot from the parking lots in the target area according to the scores of the parking lots in the target area.
8. A method of parking scheduling, the method comprising:
starting an initial navigation process with an initial destination as a destination;
reporting real-time position information of the vehicle to a server in the initial navigation process, so that the server determines a recommended parking lot from parking lots in a target area based on a scheduling factor under the condition that the server judges that the vehicle enters the target area according to the real-time position information, wherein the scheduling factor represents a parameter influencing parking lot recommendation;
and broadcasting the information of the recommended parking lot in a voice mode under the condition of receiving the information of the recommended parking lot sent by the server.
9. The method of claim 8, further comprising:
under the condition of receiving a midway parking instruction, acquiring position information of a point to be parked;
generating a midway parking request according to the position information of the point to be parked;
and sending the midway parking request to the server side so that the server side can determine the recommended parking lot for the point to be parked in the preset peripheral area of the point to be parked.
10. The method of claim 8, further comprising:
If a confirmation instruction aiming at the recommended parking lot is received within a specified time, initiating a first navigation request with the recommended parking lot as a destination to enable the server to plan a first route with the recommended parking lot as the destination;
and starting a first navigation process taking the recommended parking lot as a destination under the condition of receiving the first route returned by the server.
11. The method of claim 10, further comprising:
under the condition that the first navigation process is finished, if an instruction for continuing navigation is received, initiating a second navigation request taking the initial destination as a destination so that the server plans a second route taking the initial destination as the destination;
and starting a second navigation process taking the initial destination as a destination under the condition of receiving the second route returned by the server.
12. The method of claim 10, wherein the confirmation instruction comprises one or more of a voice instruction, a gesture instruction, and a trigger instruction of a car button.
13. The method of claim 8, further comprising:
Continuing the initial navigation process in the case that a confirmation instruction for the recommended parking lot is not received or a abandonment instruction for the recommended parking lot is received within a specified time.
14. A parking scheduler comprising a processor and a memory storing processor-executable instructions that, when executed by the processor, implement:
receiving real-time position information of a vehicle reported by a client in an initial navigation process;
determining a recommended parking lot from parking lots in a target area based on a scheduling factor under the condition that the vehicle is judged to enter the target area according to the real-time position information, wherein the scheduling factor represents a parameter influencing parking lot recommendation;
and returning the information of the recommended parking lot to the client.
15. The apparatus of claim 14, wherein the processor further implements the steps of:
and determining a preset peripheral area of the destination in the initial navigation process as the target area.
16. The apparatus of claim 14, wherein the processor further implements the steps of:
under the condition of receiving a midway parking request, determining a point to be parked;
And determining a preset peripheral area of the point to be parked as the target area.
17. The apparatus of claim 14, wherein the processor further implements the steps of:
under the condition that a first navigation request sent by the client is received, replanning a route by taking the recommended parking lot as a destination to obtain a first route, wherein the first navigation request is used for representing a navigation request from the current position of a vehicle to the recommended parking lot;
and returning the first route to the client so as to enable the client to start a first navigation process taking the recommended parking lot as a destination.
18. The apparatus of claim 17, wherein the processor further implements the steps of:
under the condition that a second navigation request sent by the client is received, replanning a route by taking an initial destination as a destination to obtain a second route, wherein the initial destination is the destination of the initial navigation process, and the second navigation request is used for representing the navigation request from the recommended parking lot to the initial destination;
returning the second route to the client to cause the client to initiate a second navigation process that is destined for the initial destination.
19. The apparatus of claim 14, wherein the scheduling factor comprises one or more of a distance of the parking lot from the destination, a walking length of time of the parking lot to the destination, a time required for the vehicle to reach the parking lot from the current location, a distance of the current location of the vehicle from the parking lot, a number of remaining parking spaces of the parking lot, a charge price per unit time of the parking lot, entrance queuing information, a number of visits by the current user, and a parking space turnover rate of the parking lot, wherein the parking space turnover rate of the parking lot indicates a busy degree of the parking lot.
20. The apparatus of claim 19, wherein the processor, when implementing step determines the recommended parking lot from the parking lots in the target area based on the scheduling factor, comprises:
determining a scheduling factor of each parking lot and the weight of each scheduling factor aiming at each parking lot in the target area, and determining the score of each parking lot based on the weighted scheduling factors;
and selecting the recommended parking lot from the parking lots in the target area according to the scores of the parking lots in the target area.
21. A parking scheduler comprising a processor and a memory storing processor-executable instructions that, when executed by the processor, implement:
Starting an initial navigation process with an initial destination as a destination;
reporting real-time position information of the vehicle to a server in the initial navigation process, so that the server determines a recommended parking lot from parking lots in a target area based on a scheduling factor under the condition that the server judges that the vehicle enters the target area according to the real-time position information, wherein the scheduling factor represents a parameter influencing parking lot recommendation;
and broadcasting the information of the recommended parking lot in a voice mode under the condition of receiving the information of the recommended parking lot sent by the server.
22. The apparatus of claim 21, wherein the processor further implements the steps of:
under the condition of receiving a midway parking instruction, acquiring position information of a point to be parked;
generating a midway parking request according to the position information of the point to be parked;
and sending the midway parking request to the server side so that the server side can determine the recommended parking lot for the point to be parked in the preset peripheral area of the point to be parked.
23. The apparatus of claim 21, wherein the processor further implements the steps of:
If a confirmation instruction aiming at the recommended parking lot is received within a specified time, initiating a first navigation request with the recommended parking lot as a destination to enable the server to plan a first route with the recommended parking lot as the destination;
and starting a first navigation process taking the recommended parking lot as a destination under the condition of receiving the first route returned by the server.
24. The apparatus of claim 23, wherein the processor further implements the steps of:
under the condition that the first navigation process is finished, if an instruction for continuing navigation is received, initiating a second navigation request taking the initial destination as a destination so that the server plans a second route taking the initial destination as the destination;
and starting a second navigation process taking the initial destination as a destination under the condition of receiving the second route returned by the server.
25. The apparatus of claim 23, wherein the confirmation instructions comprise one or more of voice instructions, gesture instructions, and in-vehicle button activation instructions.
26. The apparatus of claim 21, wherein the processor further implements the steps of:
Continuing the initial navigation process in the case that a confirmation instruction for the recommended parking lot is not received or a abandonment instruction for the recommended parking lot is received within a specified time.
27. A non-transitory computer readable storage medium having computer program instructions stored thereon, wherein the computer program instructions, when executed by a processor, implement the method of any of claims 1 to 7 and/or claims 8 to 13.
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| CN113470205A (en) * | 2021-06-30 | 2021-10-01 | 厦门中卡科技股份有限公司 | Intelligent travel control system and method under support of global ETC |
| CN113470205B (en) * | 2021-06-30 | 2022-01-04 | 厦门中卡科技股份有限公司 | Intelligent travel control system and method under support of global ETC |
| CN113538962A (en) * | 2021-07-09 | 2021-10-22 | 姜江 | Intelligent parking method, system and device based on user intention |
| CN114842667A (en) * | 2022-04-01 | 2022-08-02 | 合众新能源汽车有限公司 | Parking navigation method, device and network equipment |
| CN114842667B (en) * | 2022-04-01 | 2024-01-16 | 合众新能源汽车股份有限公司 | Parking navigation method, device and network equipment |
| CN115497320A (en) * | 2022-09-15 | 2022-12-20 | 广东仁达科技有限公司 | Smart city traffic management system and method based on big data platform |
| CN115497320B (en) * | 2022-09-15 | 2023-08-18 | 广东仁达科技有限公司 | Smart city traffic management system and method based on big data platform |
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