CN114238361A - Map network data updating method and device, electronic equipment and storage medium - Google Patents
Map network data updating method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application discloses a method and a device for updating map network data, electronic equipment and a storage medium, and relates to the technical field of intelligent traffic in the technical field of information processing. The specific implementation scheme is as follows: acquiring driving track data; acquiring track confidence data; acquiring road blocking opening information and/or traffic restriction change information according to the driving track data and the track confidence coefficient data; and updating the map network data according to the road blocking and opening information and/or the traffic restriction change information. The method and the device utilize the track confidence data to judge whether the driving track data can accurately reflect the road blocking and opening condition and/or the traffic restriction change condition. The adverse effect of the illegal track on the judgment of the road change condition can be reduced, and the accuracy of identifying the road blocking and opening information and/or the traffic limitation change information by using the driving track is improved.
Description
Technical Field
The present application relates to the field of information processing technologies, and in particular, to a method and an apparatus for updating map network data, an electronic device, and a storage medium.
Background
With the continuous development of computer and network technologies, the use of electronic maps is becoming more and more common. In the electronic map, road blocking is a product data expression method for expressing that an actual road cannot pass, the road which cannot pass caused by traffic control, severe weather, road construction and the like is displayed as a blocking state in the electronic map, and the road with traffic limitation is identified in the electronic map so as to provide line reference for a user of the electronic map. In order not to affect the user experience, when the road block state is finished and the road becomes the normal traffic state, or the traffic restriction is cancelled, it is necessary to find the road change situation in time and correct the changed data in the electronic map.
Disclosure of Invention
The application provides a method and a device for updating map network data, electronic equipment and a storage medium.
According to a first aspect of the present application, there is provided a method for updating map network data, comprising:
acquiring driving track data;
acquiring track confidence data;
acquiring road blocking opening information and/or traffic restriction change information according to the driving track data and the track confidence coefficient data;
and updating the map network data according to the road blocking and opening information and/or the traffic restriction change information.
According to a second aspect of the present application, there is provided a map network data updating apparatus, comprising:
the first acquisition module is used for acquiring the driving track data;
the second acquisition module is used for acquiring the track confidence coefficient data;
the third acquisition module is used for acquiring road blocking opening information and/or traffic restriction change information according to the driving track data and the track confidence coefficient data;
and the updating module is used for updating the map road network data according to the road blocking and opening information and/or the traffic restriction change information.
According to a third aspect of the present application, there is provided an electronic device comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor, and the instructions are executed by the at least one processor to enable the at least one processor to execute the method for updating map network data according to the first aspect.
According to a fourth aspect of the present application, there is provided a non-transitory computer readable storage medium storing computer instructions for causing the computer to execute the method for updating map road network data of the aforementioned first aspect.
According to a fifth aspect of the present application, there is provided a computer program product comprising a computer program which, when executed by a processor, implements the method of updating map network data according to the aforementioned first aspect.
According to the technical scheme, whether the driving track data can accurately reflect the road blocking opening condition and/or the traffic limitation change condition is judged by utilizing the track confidence coefficient data. The processing such as removing or reducing the right of the traffic track data with low track confidence coefficient can reduce the adverse effect of the illegal track on judging the road change condition, and improve the accuracy of identifying the road blocking opening information and/or the traffic restriction change information by using the traffic track.
Drawings
The drawings are included to provide a better understanding of the present solution and are not intended to limit the present application. Wherein:
fig. 1 is a schematic flowchart of an updating method of map network data according to an embodiment of the present application;
FIG. 2 is a schematic diagram of constructing group user information according to an embodiment of the present disclosure;
fig. 3 is a schematic flow chart of another map network data updating method according to an embodiment of the present application;
fig. 4 is a schematic flowchart of another map network data updating method according to an embodiment of the present application;
fig. 5 is a block diagram illustrating a structure of an apparatus for updating map network data according to an embodiment of the present application;
fig. 6 is a block diagram illustrating another map network data updating apparatus according to an embodiment of the present application;
fig. 7 is a block diagram illustrating a structure of another map network data updating apparatus according to an embodiment of the present application;
fig. 8 is a block diagram of an electronic device for implementing the method for updating map network data according to the embodiment of the present application.
Detailed Description
The following description of the exemplary embodiments of the present application, taken in conjunction with the accompanying drawings, includes various details of the embodiments of the application for the understanding of the same, which are to be considered exemplary only. Accordingly, those of ordinary skill in the art will recognize that various changes and modifications of the embodiments described herein can be made without departing from the scope and spirit of the present application. Also, descriptions of well-known functions and constructions are omitted in the following description for clarity and conciseness.
It should be noted that, in the technical solution of the present application, the acquisition, storage, application, and the like of the personal information of the related user all conform to the regulations of the relevant laws and regulations, and do not violate the common customs of the public order.
In the related art, a road change (blocking the opening of a road or cancellation of traffic restriction) can be found in various ways, including: user track verification, internet information verification, cooperative traffic police feedback information, user reporting information and the like. The internet information verification method depends on internet news, except that part of roads for large construction, traffic control and the like are opened, and internet news coverage is eliminated when traffic limitation is cancelled, road changes are difficult to find based on internet information in other situations. The specific position of road blocking or traffic restriction cancellation is difficult to determine by the way of reporting information by the user, and the verification cost is high. Among various ways of finding road changes, verifying the road change condition based on the user trajectory is a more effective and faster way.
Therefore, the application provides a method, a device, an electronic device and a storage medium for updating the map network data. Specifically, a map network data updating method, a map network data updating device, an electronic apparatus, and a storage medium according to an embodiment of the present application are described below with reference to the drawings.
Fig. 1 is a schematic flowchart of an updating method of map network data according to an embodiment of the present application. The map network data updating method according to the embodiment of the present invention can be applied to the map network data updating device according to the embodiment of the present invention, and the map network data updating device can be disposed on an electronic device.
As shown in fig. 1, the method for updating map network data may include the following steps:
Optionally, in some embodiments of the present application, group user information capable of reflecting a user trajectory confidence may be pre-constructed, and corresponding trajectory confidence data may be searched from the group user information according to an identifier of the trajectory data, such as an identity document (id) corresponding to the trajectory data.
As an example, as shown in fig. 2, fig. 2 is a schematic diagram of building group user information provided in an embodiment of the present application. Since it cannot be determined whether all traffic limitation data in the road network data are correct traffic limitation data, confidence assignment needs to be performed on the traffic limitation data in the road network data. The confidence of the traffic limitation data in the road network data can be determined by means of manual labeling, a traffic limitation confidence model and the like.
For the artificially labeled traffic restriction data, the accuracy is high, the confidence coefficient of the effective traffic restriction data can be directly determined as 1, and the confidence coefficient of the ineffective traffic restriction data is determined as 0; for other traffic limitation data, the traffic limitation confidence coefficient can be assigned by using a traffic limitation confidence coefficient model, and the assignment range is a numerical value in an interval of 0-1, such as 0.7 confidence coefficient. And (4) carrying out user violation identification by combining historical driving track data with the confidence coefficient of the traffic limitation data, and counting the trip times and violation times of the user.
For example, a driving track turning left at a traffic intersection with traffic restriction of 'no left turn' is found in historical driving track data of a certain user, the number of the current violation behaviors is calculated by combining the confidence coefficient of the traffic restriction of 'no left turn' at the intersection, and if the traffic restriction of 'no left turn' is the traffic restriction with high confidence coefficient, the number of the current violation behaviors is recorded as 0.9 time; if the confidence of the traffic restriction of 'forbidding left turn' is manually marked to be 0, the traffic restriction of 'forbidding left turn' is not real, and the number of the illegal behaviors is recorded as 0. And calculating violation frequency according to the trip times of the user and the violation times, and constructing group user information based on the violation frequency, wherein the group user information is used for storing track confidence coefficient data and reflecting the track confidence coefficient of the user, namely whether the user frequently has the violation.
And 103, acquiring road blocking opening information and/or traffic restriction change information according to the driving track data and the track confidence coefficient data.
Optionally, in some embodiments of the present application, a plurality of pieces of driving track data passing through a certain blocked road (or a traffic-restricted road) within a period of time may be collected, and track matching may be performed based on each piece of driving track data and the road network data, so as to obtain a position of each driving track in the road network data. And acquiring the driving track characteristics of each driving track according to the position of each driving track in the road network data. And weighting the characteristics of each vehicle track according to the track confidence data, and aggregating the weighted characteristics of the vehicle tracks to obtain traffic characteristic data of the roads in the road network data, such as traffic characteristic data of turning around, detouring, passing (such as passing through a blocked road or passing through a traffic-restricted road) and the like on the roads. And identifying road blocking and opening information and/or traffic restriction change information according to the traffic characteristic data.
In addition, the vehicle trajectory data with the low trajectory confidence degree can be removed according to the trajectory confidence degree data, and only the vehicle trajectory data with the high trajectory confidence degree is reserved. And acquiring traffic characteristic data of roads in the road network data according to the driving track data with higher track confidence coefficient, thereby acquiring road blocking and opening information and/or traffic restriction change information.
And 104, updating the map road network data according to the road blocking and opening information and/or the traffic restriction change information.
According to the map network data updating method, whether the driving track data can accurately reflect the road blocking and opening condition and/or the traffic limitation change condition is judged by using the track confidence coefficient data. The processing such as removing or reducing the right of the traffic track data with low track confidence coefficient can reduce the adverse effect of the illegal track on judging the road change condition, and improve the accuracy of identifying the road blocking opening information and/or the traffic restriction change information by using the traffic track.
Fig. 3 is a schematic flow chart of another map network data updating method according to an embodiment of the present application. As shown in fig. 3, the method may include the steps of:
The group user information is constructed by utilizing historical driving track data and road network data to identify violation behaviors of users and calculating user track confidence by combining the trip times of the users and violation frequency.
And 303, matching the track based on the driving track data and the road network data to acquire the position of the driving track in the road network data.
The driving track data is mostly a sequence of points, and the position of the driving track in the road network data needs to be further determined by combining the road network data.
And 304, acquiring traffic characteristic data of roads in the road network data according to the positions of the driving tracks in the road network data and the track confidence coefficient data.
Optionally, in some embodiments of the present application, the driving track characteristics may be obtained according to a position of the driving track in the road network data. And weighting the driving track characteristics according to the track confidence of the user, and aggregating the weighted driving track characteristics to obtain the traffic characteristic data of the roads in the road network data.
The traffic feature data may be stored in a link (route) and a link pair dimension. Wherein, link represents each road in the road network, and is expressed in the road network data by two end points and a line segment. The link pair represents a pass unit composed of two links, including an entry link and an exit link, and the pass direction is from the entry link to the exit link.
In the embodiment of the present application, the trajectory features may include, but are not limited to, a traversal, a detour, a u-turn, a yaw, and other trajectory features.
And 305, identifying road blocking opening information and/or traffic limitation change information according to the traffic characteristic data.
As an example, the road block opening information may be identified according to the traffic characteristic data in combination with a road block opening policy. Or, the road blocking and opening information may be identified according to the most significant features in the traffic feature data, which is not limited in the present application.
As another example, traffic restriction change information may be identified from traffic characteristic data in conjunction with a traffic restriction change mining strategy. Alternatively, the traffic limitation change information may be identified according to the most dominant feature in the traffic feature data.
As yet another example, road block fulfillment information and traffic restriction change information may be identified from traffic characteristic data in conjunction with a road block fulfillment policy and a traffic restriction change mining policy.
And step 306, updating the map network data according to the road blocking and opening information and/or the traffic restriction change information.
According to the map network data updating method, track confidence coefficient data are searched from the group user information which is constructed in advance according to the identification of the traffic track data. The method comprises the steps of combining driving track data and road network data, obtaining the position of a driving track in the road network data, obtaining traffic characteristic data of a road according to the track confidence coefficient data and the position of the driving track in the road network data, carrying out processing such as removing or right reducing on the traffic characteristic data with low user track confidence coefficient, and identifying road blocking opening information and/or traffic restriction change information according to the traffic characteristic data. And updating the map network data based on the road blocking and opening information and/or the traffic limitation change information. The method and the device can reduce adverse effects of the illegal track on the judgment of the road change condition, and further improve the accuracy of identifying the road blocking and opening information and/or the traffic restriction change information by utilizing the driving track.
Fig. 4 is a schematic flowchart of another map network data updating method according to an embodiment of the present application. As shown in fig. 4, the method may include the steps of:
And step 403, performing track matching based on the driving track data and the road network data to obtain the position of the driving track in the road network data.
And step 404, acquiring the driving track characteristics according to the position of the driving track in the road network data.
For example, according to the position of the track traveled by the user a in the road network data, the track characteristic of the user a at the position is acquired as the u-turn track characteristic. And acquiring the driving track characteristic of the user B at the position as the passing driving track characteristic according to the position of the driving track of the user B in the road network data.
And 405, weighting the driving track characteristics according to the track confidence coefficient data to obtain weighted driving track characteristics.
As an example, in a certain blocked road, if a user with a higher track confidence passes through the blocked road, it is recorded as 0.8 passes; the user with the lower track confidence passes on the blocked road, which is marked as 0.1 pass. The aforementioned 0.8 passes and 0.1 passes are weighted trajectory features.
And 406, aggregating the weighted driving track characteristics to obtain traffic characteristic data of roads in the road network data.
As an example, 100 pieces of trajectory data of a certain blocking road (or traffic-restricted road) are collected over a period of time, and weighted trajectory features are obtained according to the confidence data of each trajectory. And aggregating the weighted driving track characteristics to obtain the traffic characteristic data of the roads in the road network data, wherein the traffic characteristic data comprises 81 times of traffic, 3.1 times of turning around and 2.6 times of detour.
As an example, the road blocking and opening policy may be set such that the passing characteristic data satisfies that the number of passes in the passing characteristic data accounts for more than 80% of the number of the collected trajectory data, that is, it may be determined that the blocked road may be opened; the traffic limit change mining strategy can be set to that the traffic characteristic data meets the condition that the number of the passing times in the traffic characteristic data accounts for more than 80% of the number of the acquired traffic track data, so that the traffic limit of the road with the traffic limit can be determined to be cancelled. It should be noted that the road blocking and opening strategy and the traffic limit change excavation strategy may be set according to actual needs, and this is not specifically limited in this application.
And 408, determining the confidence of the road blocking opening information and/or the traffic limitation change information according to the traffic characteristic data.
Optionally, in some embodiments of the present application, the confidence of the road block opening information and/or the traffic limitation change information may be determined according to the duty ratio of the high-confidence user, or in other manners. For example, a plurality of pieces of trajectory data are collected, and road block opening information and/or traffic restriction change information are determined according to the plurality of pieces of trajectory data. If more than 90% of the acquired trajectory confidence data in the plurality of acquired driving trajectory data is more than 0.9 point, the confidence of the road blocking opening information and/or the traffic restriction change information can be determined as 1. When the user number of the track confidence data of more than 0.9 point accounts for less than 90%, the confidence of the road block opening information and/or the traffic restriction change information can be determined to be 0. It should be noted that the above calculation method of the confidence level of the road block opening information and/or the traffic limitation change information is only for facilitating understanding of the present application, that is, other methods may also be used to calculate the confidence level of the road block opening information and/or the traffic limitation change information, for example, weighting and summing the track confidence level data, and the present application is not limited thereto.
And 409, judging whether the confidence of the road blocking opening information and/or the traffic restriction change information meets a preset condition or not. If the confidence of the road blocking opening information and/or the traffic restriction change information meets the preset condition, executing step 410; if the confidence of the road block opening information and/or the traffic restriction change information does not satisfy the preset condition, step 411 is executed.
Optionally, if the confidence level of the road block disconnection information and/or the traffic limitation change information satisfies the preset condition, it may be understood that the confidence level of the road block opening information and/or the traffic limitation change information is greater than or equal to a threshold value. For example, if the threshold is 1, and the confidence level of the road block disconnection information and/or the traffic restriction change information is calculated to be 1, it may be considered that the confidence level of the road block opening information and/or the traffic restriction change information satisfies the preset condition.
Optionally, the fact that the confidence level of the blocking opening information and/or the traffic limitation change information does not meet the preset condition may be understood that the confidence level of the road blocking opening information and/or the traffic limitation change information is smaller than a threshold value. For example, if the threshold is 1, and the confidence of the road block open information and/or the traffic restriction change information is calculated to be 0, it may be determined that the confidence of the road block open information and/or the traffic restriction change information does not satisfy the preset condition.
And step 410, updating the map road network data according to the road blocking and opening information and/or the traffic restriction change information.
That is, the road block opening information and/or the traffic restriction change information with high confidence can be directly validated to update the map network data.
That is, for the road block opening information and/or the traffic restriction change information with low confidence, the road block opening information and/or the traffic restriction change information are/is sent to the target verification terminal, and whether the road block opening information and/or the traffic restriction change information are/is determined in a manner of manual verification or the like. After the road blocking opening information and/or the traffic restriction change information are confirmed, the operation can take effect, and the map network data is updated.
In the embodiment of the present application, steps 401 to 403 may be implemented by any one of the manners in the embodiments of the present application, and the present application is not specifically limited and is not described again.
According to the map network data updating method, track confidence coefficient data are searched from the group user information which is constructed in advance according to the identification of the traffic track data. And combining the driving track data and the road network data to obtain the position of the driving track in the road network data and the driving track characteristics, and performing weighting processing on the driving track characteristics according to the track confidence coefficient data to reduce the weight of the driving track characteristics with low track confidence coefficient. And aggregating the weighted driving track characteristics to obtain the traffic characteristic data of the roads in the road network data. And identifying road blocking and opening information and/or traffic limitation change information by combining the traffic characteristic data with a road blocking and opening strategy and/or a traffic limitation change mining strategy. Judging the confidence of the road blocking opening information and/or the traffic restriction change information, and directly operating and validating the road blocking opening information and/or the traffic restriction change information with high confidence, and updating the map network data; and after further verification processing is carried out on the road blocking opening information and/or the traffic limitation change information with low confidence coefficient, the map network data is updated based on the road blocking opening information and/or the traffic limitation change information. The method and the device can reduce adverse effects of the illegal track on the judgment of the road change condition, and further improve the accuracy of identifying the road blocking and opening information and/or the traffic restriction change information by utilizing the driving track.
Fig. 5 is a block diagram of a structure of an update apparatus for map network data according to an embodiment of the present application. As shown in fig. 5, the apparatus may include a first obtaining module 501, a second obtaining module 502, a third obtaining module 503, and an updating module 504.
Specifically, the first obtaining module 501 is configured to obtain trajectory data.
A second obtaining module 502, configured to obtain trajectory confidence data.
The third obtaining module 503 is configured to obtain road blocking opening information and/or traffic restriction change information according to the driving trajectory data and the trajectory confidence data.
The updating module 504 is configured to update the map network data according to the road blocking and opening information and/or the traffic restriction change information.
In some embodiments of the present application, the second obtaining module 502 is further configured to: according to the identification of the traffic track data, track confidence coefficient data are searched from the group user information which is constructed in advance; the group user information is constructed by utilizing historical driving track data and road network data to identify violation behaviors of users and calculating user track confidence by combining the trip times of the users and violation frequency.
In some embodiments of the present application, the third obtaining module 503 is further configured to: matching the driving track based on the driving track data and the road network data to obtain the position of the driving track in the road network data; and identifying road blocking and opening information and/or traffic restriction change information according to the position of the driving track in the road network data and the track confidence data.
In some embodiments of the present application, the third obtaining module 503 is further configured to: acquiring traffic characteristic data of roads in road network data according to the positions of the driving tracks in the road network data and track confidence coefficient data; and identifying road blocking and opening information and/or traffic restriction change information according to the traffic characteristic data.
In some embodiments of the present application, the third obtaining module 503 is further configured to: acquiring the characteristics of the driving track of the user according to the position of the driving track in the road network data; weighting the driving track characteristics according to the track confidence coefficient data to obtain weighted driving track characteristics; and aggregating the weighted driving track characteristics to obtain the traffic characteristic data of the roads in the road network data.
In some embodiments of the present application, the third obtaining module 503 is further configured to: identifying road blocking and opening information according to the traffic characteristic data and a road blocking and opening strategy; and/or identifying traffic limitation change information according to the traffic characteristic data and the traffic limitation change mining strategy.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
According to the map network data updating device of the embodiment of the application, whether the driving track data can accurately reflect the road blocking opening condition and/or the traffic restriction change condition is judged by utilizing the track confidence coefficient data. The processing such as removing or reducing the right of the traffic track data with low track confidence coefficient can reduce the adverse effect of the illegal track on judging the road change condition, and improve the accuracy of identifying the road blocking opening information and/or the traffic restriction change information by using the traffic track.
Fig. 6 is a block diagram of another map network data updating apparatus according to an embodiment of the present application. As shown in fig. 6, on the basis of the above embodiment, the map network data updating apparatus may further include a determining module 605.
Specifically, the determining module 605 is configured to determine the confidence level of the road blocking opening information and/or the traffic limitation change information according to the traffic characteristic data.
The updating module 604 is further configured to update the map network data according to the road blocking and opening information and/or the traffic restriction change information in response to the confidence level meeting the preset condition.
Wherein 601-604 in fig. 6 and 501-504 in fig. 5 have the same functions and structures.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
According to the map network data updating device, track confidence coefficient data are searched from the group user information which is constructed in advance according to the identification of the traffic track data. And combining the driving track data and the road network data to obtain the position of the driving track in the road network data and the driving track characteristics, and performing weighting processing on the driving track characteristics according to the track confidence coefficient data to reduce the weight of the driving track characteristics with low track confidence coefficient. And aggregating the weighted driving track characteristics to obtain the traffic characteristic data of the roads in the road network data. And identifying road blocking and opening information and/or traffic limitation change information by combining the traffic characteristic data with a road blocking and opening strategy and/or a traffic limitation change mining strategy. And judging the confidence of the road blocking opening information and/or the traffic restriction change information, and directly operating and validating the road blocking opening information and/or the traffic restriction change information with high confidence to update the map network data. The method and the device can reduce adverse effects of the illegal track on the judgment of the road change condition, and further improve the accuracy of identifying the road blocking and opening information and/or the traffic restriction change information by utilizing the driving track.
Fig. 7 is a block diagram illustrating a structure of another map network data updating apparatus according to an embodiment of the present application. As shown in fig. 7, on the basis of the above embodiment, the map network data updating apparatus may further include a sending module 706.
Specifically, the sending module 706 is configured to send the road blocking opening information and/or the traffic restriction change information to the target verification terminal in response to the confidence coefficient not meeting the preset condition.
Wherein 701-705 in fig. 7 and 601-605 in fig. 6 have the same functions and structures.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
According to the map network data updating device, track confidence coefficient data are searched from the group user information which is constructed in advance according to the identification of the traffic track data. And combining the driving track data and the road network data to obtain the position of the driving track in the road network data and the driving track characteristics, and performing weighting processing on the driving track characteristics according to the track confidence coefficient data to reduce the weight of the driving track characteristics with low track confidence coefficient. And aggregating the weighted driving track characteristics to obtain the traffic characteristic data of the roads in the road network data. And identifying road blocking and opening information and/or traffic limitation change information by combining the traffic characteristic data with a road blocking and opening strategy and/or a traffic limitation change mining strategy. Judging the confidence of the road blocking opening information and/or the traffic restriction change information, and directly operating and validating the road blocking opening information and/or the traffic restriction change information with high confidence, and updating the map network data; and after further verification processing is carried out on the road blocking opening information and/or the traffic limitation change information with low confidence coefficient, the map network data is updated based on the road blocking opening information and/or the traffic limitation change information. The method and the device can reduce adverse effects of the illegal track on the judgment of the road change condition, and further improve the accuracy of identifying the road blocking and opening information and/or the traffic restriction change information by utilizing the driving track.
There is also provided, in accordance with an embodiment of the present application, an electronic device, a readable storage medium, and a computer program product.
As shown in fig. 8, fig. 8 is a block diagram of an electronic device for implementing the method for updating map network data according to the embodiment of the present application. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular phones, smart phones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be examples only, and are not meant to limit implementations of the present application that are described and/or claimed herein.
As shown in fig. 8, the electronic apparatus includes: one or more processors 801, memory 802, and interfaces for connecting the various components, including a high speed interface and a low speed interface. The various components are interconnected using different buses and may be mounted on a common motherboard or in other manners as desired. The processor may process instructions for execution within the electronic device, including instructions stored in or on the memory to display graphical information of a GUI on an external input/output apparatus (such as a display device coupled to the interface). In other embodiments, multiple processors and/or multiple buses may be used, along with multiple memories and multiple memories, as desired. Also, multiple electronic devices may be connected, with each device providing portions of the necessary operations (e.g., as a server array, a group of blade servers, or a multi-processor system). Fig. 8 illustrates an example of a processor 801.
The memory 802 is a non-transitory computer readable storage medium as provided herein. The memory stores instructions executable by at least one processor, so that the at least one processor executes the method for updating map network data provided by the application. The non-transitory computer-readable storage medium of the present application stores computer instructions for causing a computer to execute the update method of map network data provided by the present application.
The memory 802 is a non-transitory computer readable storage medium, and can be used for storing non-transitory software programs, non-transitory computer executable programs, and modules, such as program instructions/modules corresponding to the update method of map network data in the embodiment of the present application (for example, the first obtaining module 701, the second obtaining module 702, the third obtaining module 703, the updating module 704, the determining module 705, and the sending module 706 shown in fig. 7). The processor 801 executes various functional applications of the server and data processing by running non-transitory software programs, instructions, and modules stored in the memory 802, that is, implements the method for updating map network data in the above-described method embodiments.
The memory 802 may include a storage program area and a storage data area, wherein the storage program area may store an operating system, an application program required for at least one function; the storage data area may store data created by use of an electronic device of the method for updating map network data, and the like. Further, the memory 802 may include high speed random access memory and may also include non-transitory memory, such as at least one magnetic disk storage device, flash memory device, or other non-transitory solid state storage device. In some embodiments, the memory 802 may optionally include a memory remotely located from the processor 801, and these remote memories may be connected via a network to an electronic device for implementing the map network data updating method. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The electronic device of the map network data updating method may further include: an input device 803 and an output device 804. The processor 801, the memory 802, the input device 803, and the output device 804 may be connected by a bus or other means, and are exemplified by a bus in fig. 8.
The input device 803 may receive input numeric or character information and generate key signal inputs related to user settings and function control of the electronic apparatus of the update method of map network data, such as an input device of a touch screen, a keypad, a mouse, a track pad, a touch pad, a pointing stick, one or more mouse buttons, a track ball, a joystick, or the like. The output devices 804 may include a display device, auxiliary lighting devices (e.g., LEDs), and haptic feedback devices (e.g., vibrating motors), among others. The display device may include, but is not limited to, a Liquid Crystal Display (LCD), a Light Emitting Diode (LED) display, and a plasma display. In some implementations, the display device can be a touch screen.
Various implementations of the systems and techniques described here can be realized in digital electronic circuitry, integrated circuitry, application specific ASICs (application specific integrated circuits), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: the present application also proposes a computer program which, when executed by a processor, implements the method for updating map network data described in the above embodiments, the computer program or programs being executable and/or interpretable on a programmable system including at least one programmable processor, which may be a special or general purpose programmable processor, which may receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit data and instructions to the storage system, the at least one input device, and the at least one output device.
These computer programs (also known as programs, software applications, or code) include machine instructions for a programmable processor, and may be implemented using high-level procedural and/or object-oriented programming languages, and/or assembly/machine languages. As used herein, the terms "machine-readable medium" and "computer-readable medium" refer to any computer program product, apparatus, and/or device (e.g., magnetic discs, optical disks, memory, Programmable Logic Devices (PLDs)) used to provide machine instructions and/or data to a programmable processor, including a machine-readable medium that receives machine instructions as a machine-readable signal. The term "machine-readable signal" refers to any signal used to provide machine instructions and/or data to a programmable processor.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic, speech, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a back-end component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such back-end, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), Wide Area Networks (WANs), the internet, and blockchain networks.
The computer system may include clients and servers. A client and server are generally remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The Server can be a cloud Server, also called a cloud computing Server or a cloud host, and is a host product in a cloud computing service system, so as to solve the defects of high management difficulty and weak service expansibility in the traditional physical host and VPS service ("Virtual Private Server", or simply "VPS"). The server may also be a server of a distributed system, or a server incorporating a blockchain. It should be understood that various forms of the flows shown above may be used, with steps reordered, added, or deleted. For example, the steps described in the present application may be executed in parallel, sequentially, or in different orders, and the present invention is not limited thereto as long as the desired results of the technical solutions disclosed in the present application can be achieved.
The above-described embodiments should not be construed as limiting the scope of the present application. It should be understood by those skilled in the art that various modifications, combinations, sub-combinations and substitutions may be made in accordance with design requirements and other factors. Any modification, equivalent replacement, and improvement made within the spirit and principle of the present application shall be included in the protection scope of the present application.
Claims (19)
1. A map network data updating method comprises the following steps:
acquiring driving track data;
acquiring track confidence data;
acquiring road blocking opening information and/or traffic restriction change information according to the driving track data and the track confidence coefficient data;
and updating the map network data according to the road blocking and opening information and/or the traffic restriction change information.
2. The method of claim 1, wherein said obtaining said trajectory confidence data comprises:
according to the identification of the driving track data, searching the track confidence coefficient data from the group user information which is constructed in advance;
the group user information is constructed by utilizing historical driving track data and road network data to identify violation behaviors of users and calculating track confidence by combining travel times of the users and violation frequency.
3. The method according to claim 1, wherein the acquiring road block opening information and/or traffic restriction change information according to the driving trajectory data and the trajectory confidence data comprises:
performing track matching based on the driving track data and road network data, and acquiring the position of the driving track in the road network data;
and identifying road blocking and opening information and/or traffic restriction change information according to the position of the driving track in the road network data and the track confidence data.
4. The method according to claim 3, wherein the identifying road block opening information and/or traffic restriction change information according to the position of the driving track in the road network data and the track confidence data comprises:
acquiring traffic characteristic data of roads in the road network data according to the positions of the driving tracks in the road network data and the track confidence coefficient data;
and identifying road blocking and opening information and/or traffic restriction change information according to the traffic characteristic data.
5. The method according to claim 4, wherein the obtaining traffic characteristic data of roads in the road network data according to the positions of the driving tracks in the road network data and the track confidence data comprises:
acquiring the driving track characteristics according to the position of the driving track in the road network data;
weighting the driving track characteristics according to the track confidence coefficient data to obtain weighted driving track characteristics;
and aggregating the weighted driving track characteristics to obtain the traffic characteristic data of the roads in the road network data.
6. The method according to claim 4 or 5, wherein the identifying road block opening information and/or traffic limitation change information according to the traffic characteristic data comprises:
identifying road blocking and opening information according to the traffic characteristic data and a road blocking and opening strategy;
and/or identifying traffic limitation change information according to the traffic characteristic data and a traffic limitation change mining strategy.
7. The method of claim 4, further comprising:
determining the confidence degree of the road blocking and opening information and/or the traffic restriction change information according to the traffic characteristic data;
and responding to the confidence coefficient meeting a preset condition, and executing the step of updating the map network data according to the road blocking and opening information and/or the traffic restriction change information.
8. The method of claim 7, further comprising:
and responding to the confidence coefficient not meeting the preset condition, and sending the road blocking and opening information and/or the traffic restriction change information to a target verification terminal.
9. An updating device for map network data, comprising:
the first acquisition module is used for acquiring the driving track data;
the second acquisition module is used for acquiring the track confidence coefficient data;
the third acquisition module is used for acquiring road blocking opening information and/or traffic restriction change information according to the driving track data and the track confidence coefficient data;
and the updating module is used for updating the map road network data according to the road blocking and opening information and/or the traffic restriction change information.
10. The apparatus of claim 9, wherein the second obtaining means is further configured to:
according to the identification of the driving track data, searching the track confidence coefficient data from the group user information which is constructed in advance;
the group user information is constructed by utilizing historical driving track data and road network data to identify violation behaviors of users and calculating track confidence by combining travel times of the users and violation frequency.
11. The apparatus of claim 9, wherein the third obtaining means is further configured to:
performing track matching based on the driving track data and road network data, and acquiring the position of the driving track in the road network data;
and identifying road blocking and opening information and/or traffic restriction change information according to the position of the driving track in the road network data and the track confidence data.
12. The apparatus of claim 11, wherein the third obtaining means is further configured to:
acquiring traffic characteristic data of roads in the road network data according to the positions of the driving tracks in the road network data and the track confidence coefficient data;
and identifying road blocking and opening information and/or traffic restriction change information according to the traffic characteristic data.
13. The apparatus of claim 12, wherein the third obtaining means is further configured to:
acquiring the driving track characteristics according to the position of the driving track in the road network data;
weighting the driving track characteristics according to the track confidence coefficient data to obtain weighted driving track characteristics;
and aggregating the weighted driving track characteristics to obtain the traffic characteristic data of the roads in the road network data.
14. The apparatus of claim 12 or 13, wherein the third obtaining means is further configured to:
identifying road blocking and opening information according to the traffic characteristic data and a road blocking and opening strategy;
and/or identifying traffic limitation change information according to the traffic characteristic data and a traffic limitation change mining strategy.
15. The apparatus of claim 12, the apparatus further comprising:
the determining module is used for determining the confidence of the road blocking and opening information and/or the traffic restriction change information according to the traffic characteristic data;
and the updating module is also used for responding to the confidence coefficient meeting a preset condition and updating the map network data according to the road blocking and opening information and/or the traffic restriction change information.
16. The apparatus of claim 15, the apparatus further comprising:
and the sending module is used for sending the road blocking and opening information and/or the traffic restriction change information to a target verification terminal in response to the confidence coefficient not meeting the preset condition.
17. An electronic device, comprising:
at least one processor; and
a memory communicatively coupled to the at least one processor; wherein the content of the first and second substances,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-8.
18. A non-transitory computer readable storage medium having stored thereon computer instructions for causing the computer to perform the method of any one of claims 1-8.
19. A computer program product comprising a computer program which, when executed by a processor, carries out the steps of the method of any one of claims 1 to 8.
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| CN202111647901.6A CN114238361A (en) | 2021-12-29 | 2021-12-29 | Map network data updating method and device, electronic equipment and storage medium |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115031750A (en) * | 2022-06-02 | 2022-09-09 | 北京百度网讯科技有限公司 | Method and device for determining state of blocked road section and computer program product |
| CN117351117A (en) * | 2023-11-29 | 2024-01-05 | 之江实验室 | Road structure updating method, device, storage medium and equipment |
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2021
- 2021-12-29 CN CN202111647901.6A patent/CN114238361A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN115031750A (en) * | 2022-06-02 | 2022-09-09 | 北京百度网讯科技有限公司 | Method and device for determining state of blocked road section and computer program product |
| CN117351117A (en) * | 2023-11-29 | 2024-01-05 | 之江实验室 | Road structure updating method, device, storage medium and equipment |
| CN117351117B (en) * | 2023-11-29 | 2024-03-08 | 之江实验室 | Road structure updating method, device, storage medium and equipment |
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