CN111798660B

CN111798660B - Vehicle information display and acquisition method and device and related equipment

Info

Publication number: CN111798660B
Application number: CN202010621669.8A
Authority: CN
Inventors: 孙立光
Original assignee: Tencent Technology Shenzhen Co Ltd
Current assignee: Tencent Technology Shenzhen Co Ltd
Priority date: 2020-06-30
Filing date: 2020-06-30
Publication date: 2021-12-07
Anticipated expiration: 2040-06-30
Also published as: CN111798660A

Abstract

The present disclosure provides a vehicle information display method, apparatus, and electronic device and computer-readable storage medium, the method comprising: displaying a target map, wherein the target map comprises a first road network, and the first road network comprises a first road section; acquiring a virtual detector carrying vehicle information; determining a target virtual detector corresponding to the first segment from the virtual detectors; displaying the target virtual detector on the first segment of the target map; and responding to a target instruction aiming at the target virtual detector, and displaying vehicle information corresponding to the target virtual detector. The technical scheme provided by the embodiment of the disclosure can display the virtual detector and the vehicle information carried by the virtual detector in the target road network of the target map.

Description

Vehicle information display and acquisition method and device and related equipment

Technical Field

The present disclosure relates to the field of information processing technologies, and in particular, to a method and an apparatus for displaying and acquiring vehicle information, and a related device.

Background

Road network is a scheme that abstracts the actual road network. In real life, relevant units need to realize relevant decisions based on vehicle information and road information in a road network. For example, a shared-vehicle delivery company needs to decide whether to deliver a shared vehicle and how many shared vehicles to deliver on a certain road segment based on information such as traffic flow and road congestion in a road network; for another example, a government decision-making department needs to decide whether to repair a new road on a certain road segment based on road congestion information in a road network.

With the development of society, more and more roads are newly repaired, and the corresponding road network also needs to be updated continuously. Road section information between road networks of different versions may be different, and according to the prior art, vehicle information in the road network of the old version cannot be directly reused in the road network of the new version.

Therefore, a method for displaying vehicle information in an old version road network in a new road network is important for road network users.

It is to be noted that the information disclosed in the above background section is only for enhancement of understanding of the background of the present disclosure, and thus may include information that does not constitute prior art known to those of ordinary skill in the art.

Disclosure of Invention

The embodiment of the disclosure provides a vehicle information display method and device, an electronic device and a computer readable storage medium, which can display vehicle information in a second road network in a target map comprising a first road network through a virtual detector.

Additional features and advantages of the disclosure will be set forth in the detailed description which follows, or in part will be obvious from the description, or may be learned by practice of the disclosure.

The embodiment of the disclosure provides a vehicle information display method, which includes: displaying a target map, wherein the target map comprises a first road network, and the first road network comprises a first road section; acquiring a virtual detector carrying vehicle information; determining a target virtual detector corresponding to the first segment from the virtual detectors; displaying the target virtual detector on the first segment of the target map; and responding to a target instruction aiming at the target virtual detector, and displaying vehicle information corresponding to the target virtual detector.

The disclosed embodiment provides a vehicle information acquisition method, which may include: acquiring a second road network, wherein the second road network comprises a second road section; determining a virtual detector at a first location of the second road segment, the virtual detector comprising a third longitude and latitude and a third directional angle at the first location; and determining vehicle information corresponding to the virtual detector according to the floating car data passing through the second road section within the target time.

The disclosed embodiment provides a vehicle information display device, which includes: the device comprises a target map acquisition module, a virtual detector acquisition module, a matching module and a first display module.

The target map obtaining module may be configured to display a target map, where the target map includes a first road network, and the first road network includes a first road segment;

a virtual detector acquisition module configured to acquire a virtual detector carrying vehicle information. The attribute matching module may be configured to determine a target virtual detector corresponding to the first segment from the virtual detectors. The first display module may be configured to display the target virtual detector on the first segment of the target map. The second display module may be configured to display vehicle information corresponding to the target virtual detector in response to a target instruction for the target virtual detector.

In some embodiments, the first road segment comprises first attribute information and the virtual detector comprises second attribute information for road segments in a second road network.

In some embodiments, the matching module may be further configured to match the first attribute information with the second attribute information to determine a target virtual detector corresponding to the first segment from the virtual detectors.

In some embodiments, the first attribute information may include a first longitude and latitude, and the second attribute information may include a second longitude and latitude.

In some embodiments, the matching module may include: the first comparison submodule and the first judgment submodule.

Wherein the first comparison sub-module may be configured to compare the first longitude and the second longitude and latitude. The first determining submodule may be configured to determine, if a position difference between the first longitude and the second latitude is within a first position tolerance range, the target virtual detector corresponding to the first segment according to the virtual detector corresponding to the second longitude and the second latitude.

In some embodiments, the first attribute information may further include a first direction angle.

In some embodiments, the first determining sub-module may include: a first candidate virtual detector determining unit, a second comparing unit and a second judging unit.

The first candidate virtual detector determining unit may be configured to use the virtual detector corresponding to the second longitude and latitude as the first candidate virtual detector, and the second attribute information of the first candidate virtual detector further includes a second direction angle. The second comparing unit may be configured to compare the first direction angle with the second direction angle. The second determining unit may be configured to determine, if an angle difference between the first direction angle and the second direction angle is within a first angle tolerance range, a target virtual detector corresponding to the first segment according to a first candidate virtual detector corresponding to the second direction angle.

In some embodiments, the first attribute information further includes a first road class and a first road name, and the second attribute information further includes a second road class and a second road name.

In some embodiments, the second determination unit may include: the second candidate virtual detector determines the sub-unit, the third comparing sub-unit, and the third judging sub-unit.

Wherein the second candidate virtual detector determining subunit may be configured to take the first candidate virtual detector corresponding to the second direction angle as the second candidate virtual detector corresponding to the first segment. The third comparing subunit may be configured to match the second road class and the second road name corresponding to the second candidate virtual detector with the first road class and the first road name of the first road segment, respectively. The third determining subunit may be configured to use a second candidate virtual detector matching the first road class and the first road name as the target virtual detector corresponding to the first road segment.

The disclosed embodiment provides a vehicle information acquisition apparatus, which may include: the device comprises a second road network acquisition module, a second virtual detector determination module and a vehicle information determination module.

The second network acquiring module may be configured to acquire a second network, where the second network includes a second segment. The second virtual detector determination module may be configured to determine a virtual detector at a first location of the second road segment, the virtual detector including a second longitude and latitude and a second heading angle at the first location. The vehicle information determination module may be configured to determine vehicle information corresponding to the virtual detector according to floating car data passing through the second road section within a target time.

In some embodiments, the vehicle information acquisition device may further include: the road network updating module, the fourth comparing module and the fourth judging module.

The road network updating module may be configured to update the second road network to obtain a third road network, where the third road network includes a third road segment, the third road segment includes a second location, and the second location is described by a fourth longitude and latitude and a fourth direction angle. The fourth comparing module may be configured to compare the fourth longitude and latitude and the fourth direction angle with the third longitude and latitude and the third direction angle, respectively. The fourth determining module may be configured to determine the virtual detector corresponding to the third path segment according to the third longitude and the third direction angle if the position difference between the fourth longitude and the third latitude is within a second position tolerance range and the angle difference between the fourth direction angle and the third direction angle is within a second angle tolerance range.

In some embodiments, the first location is further described by a third road class and a third road name, and the second location is further described by a fourth road class and a fourth road name.

In some embodiments, the fourth determining module may include: a third candidate virtual detector obtaining sub-module, a fifth comparing sub-module and a fifth judging sub-module.

The third candidate virtual detector acquisition submodule may be configured to take a virtual detector corresponding to the third longitude and latitude and the third direction angle as a third candidate virtual detector corresponding to the third route segment. The fifth comparison submodule may be configured to match a third road class, the third road name of the third candidate virtual detector with a fourth road class, a fourth road name of the third road segment. The fifth judgment sub-module may be configured to take a third candidate virtual detector matching the fourth road class and the fourth road name as the virtual detector corresponding to the third route segment.

In some embodiments, the second network includes at least one link, and the at least one link is mapped with the second road segment.

In some embodiments, the second virtual detector determination module may include: a filtering submodule, a target link determining submodule, and a first position determining submodule.

Wherein the filtering sub-module may be configured to filter the at least one link having a road grade below a target threshold. The target link determining submodule may be configured to determine a target link corresponding to the second road segment in the filtered at least one link according to the mapping relationship. The first location determination submodule may be configured to determine a first location of the second road segment in the target link.

In some embodiments, the vehicle information includes traffic flow information for the second road segment.

In some embodiments, the vehicle information determination module may include: the device comprises a first moving track acquisition submodule, a floating car quantity acquisition submodule and a traffic flow information acquisition submodule.

Wherein the first movement track acquisition submodule can be configured to acquire the action track and the action time of the target floating car. The floating car number acquisition sub-module may be configured to determine the number of floating cars passing through the second road section within the target time according to the action track and the action time of the target floating car. The traffic flow information acquisition submodule may be configured to determine traffic flow information of the second road section corresponding to the virtual detector according to the number of floating cars passing through the second road section within the target time.

In some embodiments, the vehicle information includes congestion information for the second road segment.

In some embodiments, the vehicle information determination module may include: the system comprises a second moving track obtaining submodule, an average time obtaining submodule and a congestion information obtaining submodule.

Wherein the second movement track acquisition submodule can be configured to acquire the action track and the action time of the target floating car. The average time acquisition submodule may be configured to determine, based on the action trajectory and the action time of the target floating car, an average time for each target floating car to pass through the second road section within the target time. The congestion information acquisition submodule may be configured to determine congestion information of the second road section corresponding to the virtual detector within the target time according to an average time of each target floating car passing through the second road section within the target time.

An embodiment of the present disclosure provides an electronic device, including: one or more processors; the storage device is used for storing one or more programs, and when the one or more programs are executed by the one or more processors, the one or more processors realize the vehicle information display and vehicle information acquisition method.

The disclosed embodiment proposes a computer-readable storage medium on which a computer program is stored, the program, when executed by a processor, implementing the vehicle information display method or the vehicle information acquisition method according to any one of the above.

Embodiments of the present disclosure provide a computer program product or computer program comprising computer instructions stored in a computer readable storage medium. The processor of the computer device reads the computer instructions from the computer-readable storage medium, and the processor executes the computer instructions, so that the computer device executes the vehicle information display method or the vehicle information acquisition method according to any one of the above.

On one hand, by matching the first attribute of the first road segment with the second attribute corresponding to the virtual detector, the target virtual detector corresponding to the position of the first road segment and the vehicle information corresponding to the target virtual detector are accurately determined, and the multiplexing of the vehicle information corresponding to the virtual detector among different road networks is realized; on the other hand, displaying the target detector at the first road segment position may facilitate a road network user to visually acquire the road segment information and the vehicle information of the first road segment.

It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.

Drawings

The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure. The drawings described below are merely some embodiments of the present disclosure, and other drawings may be derived from those drawings by those of ordinary skill in the art without inventive effort.

Fig. 1 shows a schematic diagram of an exemplary system architecture of a vehicle information display method or a vehicle information display apparatus applied to an embodiment of the present disclosure.

Fig. 2 is a schematic diagram showing a configuration of a computer system applied to a vehicle information display device according to an exemplary embodiment.

FIG. 3 is a flow chart illustrating a vehicle information display method according to an exemplary embodiment.

Fig. 4 is a schematic illustration of a road segment determination according to one type shown in an exemplary embodiment.

FIG. 5 is a schematic illustration of a vehicle information display according to an exemplary embodiment.

Fig. 6 is a flowchart of step S3 in fig. 3 in an exemplary embodiment.

Fig. 7 is a flowchart of step S32 in fig. 6 in an exemplary embodiment.

Fig. 8 is a flowchart of step S323 in fig. 7 in an exemplary embodiment.

FIG. 9 is a flowchart illustrating a vehicle information acquisition method according to an exemplary embodiment.

FIG. 10 is a schematic diagram illustrating virtual detector determination in accordance with one illustrative embodiment.

FIG. 11 is a flowchart of step S02 of FIG. 9 in an exemplary embodiment.

Fig. 12 is a flowchart of step S03 in fig. 9 in an exemplary embodiment.

FIG. 13 is a flowchart of step S03 of FIG. 9 in an exemplary embodiment.

Fig. 14 is a diagram illustrating a vehicle information acquisition method according to an exemplary embodiment.

Fig. 15 is a flowchart of step S06 in fig. 14 in an exemplary embodiment.

FIG. 16 is an illustration of a vehicle information management system in accordance with an exemplary embodiment.

Fig. 17 is a block diagram illustrating a vehicle information display apparatus according to an exemplary embodiment.

Fig. 18 is a block diagram illustrating a vehicle information acquisition apparatus according to an exemplary embodiment.

Detailed Description

Example embodiments will now be described more fully with reference to the accompanying drawings. Example embodiments may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein; rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the concept of example embodiments to those skilled in the art. The same reference numerals denote the same or similar parts in the drawings, and thus, a repetitive description thereof will be omitted.

The described features, structures, or characteristics of the disclosure may be combined in any suitable manner in one or more embodiments. In the following description, numerous specific details are provided to give a thorough understanding of embodiments of the disclosure. One skilled in the relevant art will recognize, however, that the subject matter of the present disclosure can be practiced without one or more of the specific details, or with other methods, components, devices, steps, and the like. In other instances, well-known methods, devices, implementations, or operations have not been shown or described in detail to avoid obscuring aspects of the disclosure.

The drawings are merely schematic illustrations of the present disclosure, in which the same reference numerals denote the same or similar parts, and thus, a repetitive description thereof will be omitted. Some of the block diagrams shown in the figures do not necessarily correspond to physically or logically separate entities. These functional entities may be implemented in the form of software, or in one or more hardware modules or integrated circuits, or in different networks and/or processor devices and/or microcontroller devices.

The flow charts shown in the drawings are merely illustrative and do not necessarily include all of the contents and steps, nor do they necessarily have to be performed in the order described. For example, some steps may be decomposed, and some steps may be combined or partially combined, so that the actual execution sequence may be changed according to the actual situation.

In this specification, the terms "a", "an", "the", "said" and "at least one" are used to indicate the presence of one or more elements/components/etc.; the terms "comprising," "including," and "having" are intended to be inclusive and mean that there may be additional elements/components/etc. other than the listed elements/components/etc.; the terms "first," "second," and "third," etc. are used merely as labels, and are not limiting on the number of their objects.

The following detailed description of exemplary embodiments of the disclosure refers to the accompanying drawings.

Fig. 1 shows a schematic diagram of an exemplary system architecture of a vehicle information method or a vehicle information display device that can be applied to the embodiments of the present disclosure.

As shown in fig. 1, the system architecture 100 may include

terminal devices

101, 102, 103, a network 104, and a server 105. The network 104 serves as a medium for providing communication links between the

terminal devices

101, 102, 103 and the server 105. Network 104 may include various connection types, such as wired, wireless communication links, or fiber optic cables, to name a few.

The user may use the

terminal devices

101, 102, 103 to interact with the server 105 via the network 104 to receive or send messages or the like. The

terminal devices

101, 102, 103 may be various electronic devices having display screens and supporting web browsing, including but not limited to smart phones, tablet computers, laptop portable computers, desktop computers, wearable devices, virtual reality devices, smart homes, and the like.

The server 105 may be a server that provides various services, such as a background management server that provides support for devices operated by users using the

terminal apparatuses

101, 102, 103. The background management server can analyze and process the received data such as the request and feed back the processing result to the terminal equipment.

It should be understood that the number of terminal devices, networks and servers in fig. 1 is only illustrative, and the server 105 may be a physical server or may be composed of a plurality of servers, and there may be any number of terminal devices, networks and servers according to actual needs.

Referring now to FIG. 2, a block diagram of a computer system 200 suitable for implementing a terminal device of the embodiments of the present application is shown. The terminal device shown in fig. 2 is only an example, and should not bring any limitation to the functions and the scope of use of the embodiments of the present application.

As shown in fig. 2, the computer system 200 includes a Central Processing Unit (CPU)201 that can perform various appropriate actions and processes in accordance with a program stored in a Read Only Memory (ROM)202 or a program loaded from a storage section 208 into a Random Access Memory (RAM) 203. In the RAM 203, various programs and data necessary for the operation of the system 200 are also stored. The CPU 201, ROM 202, and RAM 203 are connected to each other via a bus 204. An input/output (I/O) interface 205 is also connected to bus 204.

The following components are connected to the I/O interface 205: an input portion 206 including a keyboard, a mouse, and the like; an output section 207 including a display such as a Cathode Ray Tube (CRT), a Liquid Crystal Display (LCD), and the like, and a speaker; a storage section 208 including a hard disk and the like; and a communication section 209 including a network interface card such as a LAN card, a modem, or the like. The communication section 209 performs communication processing via a network such as the internet. A drive 210 is also connected to the I/O interface 205 as needed. A removable medium 211, such as a magnetic disk, an optical disk, a magneto-optical disk, a semiconductor memory, or the like, is mounted on the drive 210 as necessary, so that a computer program read out therefrom is installed into the storage section 208 as necessary.

In particular, according to an embodiment of the present disclosure, the processes described above with reference to the flowcharts may be implemented as computer software programs. For example, embodiments of the present disclosure include a computer program product comprising a computer program embodied on a computer readable storage medium, the computer program containing program code for performing the method illustrated by the flow chart. In such an embodiment, the computer program may be downloaded and installed from a network through the communication section 209 and/or installed from the removable medium 211. The above-described functions defined in the system of the present application are executed when the computer program is executed by the Central Processing Unit (CPU) 201.

It should be noted that the computer readable storage medium shown in the present application can be a computer readable signal medium or a computer readable storage medium or any combination of the two. A computer readable storage medium may be, for example, but not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination of the foregoing. More specific examples of the computer readable storage medium may include, but are not limited to: an electrical connection having one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing. In the present application, a computer readable storage medium may be any tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. In this application, however, a computer readable signal medium may include a propagated data signal with computer readable program code embodied therein, for example, in baseband or as part of a carrier wave. Such a propagated data signal may take many forms, including, but not limited to, electro-magnetic, optical, or any suitable combination thereof. A computer readable signal medium may also be any computer readable storage medium that is not a computer readable storage medium and that can communicate, propagate, or transport a program for use by or in connection with an instruction execution system, apparatus, or device. Program code embodied on a computer readable storage medium may be transmitted using any appropriate medium, including but not limited to: wireless, wire, fiber optic cable, RF, etc., or any suitable combination of the foregoing.

The flowchart and block diagrams in the figures illustrate the architecture, functionality, and operation of possible implementations of systems, methods and computer program products according to various embodiments of the present application. In this regard, each block in the flowchart or block diagrams may represent a module, segment, or portion of code, which comprises one or more executable instructions for implementing the specified logical function(s). It should also be noted that, in some alternative implementations, the functions noted in the block may occur out of the order noted in the figures. For example, two blocks shown in succession may, in fact, be executed substantially concurrently, or the blocks may sometimes be executed in the reverse order, depending upon the functionality involved. It will also be noted that each block of the block diagrams or flowchart illustration, and combinations of blocks in the block diagrams or flowchart illustration, can be implemented by special purpose hardware-based systems which perform the specified functions or acts, or combinations of special purpose hardware and computer instructions.

The modules and/or sub-modules and/or units and/or sub-units described in the embodiments of the present application may be implemented by software or hardware. The described modules and/or sub-modules and/or units and/or sub-units may also be provided in a processor, which may be described as: a processor includes a transmitting unit, an obtaining unit, a determining unit, and a first processing unit. Wherein the names of these modules and/or sub-modules and/or units and/or sub-units in some cases do not constitute a limitation of the modules and/or sub-modules and/or units and/or sub-units themselves.

As another aspect, the present application also provides a computer-readable storage medium, which may be contained in the apparatus described in the above embodiments; or may be separate and not incorporated into the device. The computer readable storage medium carries one or more programs which, when executed by a device, cause the device to perform functions including: displaying a target map, wherein the target map comprises a first road network, and the first road network comprises a first road section; acquiring a virtual detector carrying vehicle information; determining a target virtual detector corresponding to the first segment from the virtual detectors; displaying the target virtual detector on the first segment of the target map; and responding to a target instruction aiming at the target virtual detector, and displaying vehicle information corresponding to the target virtual detector.

It is to be understood that any number of elements in the drawings of the present disclosure are by way of example and not by way of limitation, and any nomenclature is used for differentiation only and not by way of limitation. For convenience of understanding, terms referred to in the embodiments of the present disclosure are explained below.

Road network: the road network refers to an abstract scheme of a specific map data production unit for carrying out actual road network in order to facilitate the work of collecting, updating, serving the outside and the like of road information of the specific map data production unit. The whole road network is usually divided into individual road segments with connection relations, and each road segment can carry traffic in a certain direction. On a real road, two traffic directions of the same road will be considered as different segments (distinguishable by direction angle). Each segment may include a plurality of link links. Each link has independent attribute information, such as: geometric alignment data, road grade, number of lanes, lane width, presence or absence of signal light control, etc. The spatial granularity of the link is typically shorter than the road segment in common sense. The update of road network data usually adopts a batch update mechanism, for example: and updating the road network data once every month, or every week, or even every day based on the newly acquired actual road information. Each update will update the attributes of multiple links. To facilitate tracing and managing changes to data, a version management mechanism is introduced. The complete road network data after each update is completely saved and marked as a certain version. Version numbers typically use date and time related naming methods such as: the version of road network data in week 1 of month 10 in 2019 is denoted by 2019_ M10_ W1.

A virtual detector: virtual detectors are in contrast to physical detectors. The entity detector is a device such as a coil detector, a microwave detector or a video detector which is installed at different positions of a road (under the road surface, on the side of the road or above the road) by a traffic or road management department for monitoring and managing, can detect information such as traffic flow, vehicle speed and the like at corresponding road positions through the device, and obtains description information such as the traffic flow and the like of a road section after necessary statistical processing. One physical detector uniquely corresponds to one road section. A virtual detector is a logical concept proposed with reference to a physical detector. A virtual detector also uniquely corresponds to a road section.

Floating car: generally, the vehicle is a bus, a taxi, or the like that is installed with a GPS (Global Positioning System) Positioning device and travels on a road.

FIG. 3 is a flow chart illustrating a vehicle information display method according to an exemplary embodiment. The method provided by the embodiment of the present disclosure may be processed by any electronic device having a calculation processing function and a display function, for example, the server 105 and/or the

terminal devices

102 and 103 in the embodiment of fig. 1 described above, and in the following embodiment, the server 105 is taken as an execution subject for example, but the present disclosure is not limited thereto.

Referring to fig. 3, a vehicle information display method provided by an embodiment of the present disclosure may include the following steps.

In step S1, a target map is displayed, the target map including a first road network including a first road segment.

In some embodiments, to facilitate the viewing of information, the road network is typically carried on a map.

It can be understood that, although the first road network is carried on the target map in the embodiment, the first road network may also exist independently, and is not attached to any map, which is not limited in the present disclosure.

In some embodiments, the first road network may include a plurality of first road segments, and the first road segments may include a plurality of link links.

As shown in fig. 4, a road between two intersections can be taken as first road segments 401, each of which can in turn include a plurality of

links

4011, 4012, and 4013.

In some embodiments, each link in the first segment may include a plurality of attributes, wherein the plurality of attributes may include, for example, latitude and longitude information of the link, vehicle direction information, road grade information, lane number information, road name information, city number information of the road.

The longitude and latitude and the direction angle at the midpoint position of the link 4012 at the middle position of the first segment 401 may be used as the first longitude and latitude and the first direction angle in the first attribute information of the first segment 401, but the disclosure is not limited thereto.

In some embodiments, the vehicle direction may be generally identified by a direction angle of the traffic flow, for example, an angle coordinate system with a true north direction of 0 degrees and an increasing angle in a clockwise direction may be used to represent the direction angle information, and the direction angle ranges from: [0,360); the grade information of the road may be, for example, "national road", "provincial road", "country road", or the like.

In step S2, a virtual detector carrying vehicle information is acquired.

In some embodiments, virtual detectors on respective second road segments in the second road network may be acquired.

In some embodiments, the virtual detector may describe second attribute information (e.g., second longitude and latitude, second direction angle, road grade information, lane number information, road name information, city number information of the road, etc.) and vehicle information on the second road segment

In some embodiments, the vehicle information may refer to traffic flow information or road congestion information corresponding to a road section position where the virtual detector is located in the road section, and the disclosure is not limited thereto.

In general, the virtual detector also includes second attribute information of the road segments in the second road network. For example, if a virtual detector corresponds to a road segment in the second road network, the virtual detector will carry the second attribute information of the road segment.

The second attribute information may also include road section longitude and latitude information, vehicle direction information, road grade information, lane number information, road name information, and number information of the city where the road is located.

In step S3, a target virtual detector corresponding to the first segment is determined from the virtual detectors.

In some embodiments, a first attribute of the first road segment may be matched with a second attribute of the second road segment carried by the virtual detector, so as to determine a target virtual detector corresponding to the first road segment from the virtual detector, for example, matching latitude and longitude information in the first attribute with latitude and longitude information in the second attribute, and if the latitude and longitude information in the first attribute is successfully matched with the latitude and longitude information in the second attribute (for example, a position deviation between two latitudes and longitudes is within a tolerance range of, for example, 15 meters), the virtual detector carrying the second attribute information may be considered as the target virtual detector corresponding to the first road segment.

In step S4, the target virtual detector is displayed on the first link of the target map.

In some embodiments, after the target virtual detector corresponding to the first road segment is determined, the target virtual display may be displayed at the first road segment location.

In step S5, in response to a target instruction for the target virtual detector, vehicle information corresponding to the target virtual detector is displayed.

In some embodiments, the target instruction may refer to a touch instruction, a click designation, a slide instruction, and the like, which the present disclosure does not limit.

In some embodiments, after the target object clicks or touches (i.e., the target object sends the target command) the target virtual detector through the target electronic device (e.g., a computer), the target electronic device sends the target command to the server, and after the server receives the target command, the server displays the vehicle information corresponding to the target virtual detector as shown in fig. 5 (the traffic information within ten minutes corresponding to the target virtual detector, the road section name corresponding to the target virtual detector, the direction angle, the road grade, etc.).

According to the technical scheme provided by the embodiment, on one hand, the first attribute of the first road section is matched with the second attribute in the virtual detector, so that the target virtual detector corresponding to the position of the first road section and the vehicle information of the first road section corresponding to the target virtual detector are accurately determined, and the multiplexing of the vehicle information corresponding to the virtual detector among different road networks is realized; on the other hand, displaying the target detector at the position of the first road segment can facilitate the road network user to acquire the vehicle information of the first road segment more intuitively.

Fig. 6 is a flowchart of step S3 in fig. 3 in an exemplary embodiment.

In some embodiments, the first attribute information of the first road segment may include a first longitude and latitude, and the second attribute information corresponding to the virtual detector may include a second longitude and latitude.

In some embodiments, the first segment may include a plurality of links, and the first attribute information of the first segment may be a longitude and latitude at a midpoint position of a link located in the middle of the first segment.

In some embodiments, the virtual detector may exist in a second road network, the second road network may include a second road segment, the second road segment may include a plurality of links, and similarly, the longitude and latitude corresponding to the midpoint position of the link in the middle of the first road segment may be used as the second attribute information of the second road segment and represented by the virtual detector.

Referring to fig. 6, the above-mentioned step S3 may include the following steps.

In step S31, the first longitude and latitude is compared with the second longitude and latitude.

In step S32, if the position difference between the first longitude and the second longitude and latitude is within a first position tolerance range, determining a target virtual detector corresponding to the first segment according to the virtual detector corresponding to the second longitude and latitude.

In some embodiments, a difference in location of the first longitude and the second longitude and latitude within a first location tolerance range may refer to: the first longitude and the second longitude and latitude do not differ by more than a target threshold in longitude and latitude, which may be set to 15 meters.

According to the technical scheme provided by the embodiment, through the matching of the longitude and the latitude, the target virtual detector matched with the first road section (namely the virtual detector with the longitude and the latitude closest to the first road section) can be determined from the plurality of virtual detectors in the second road network, and the matching of the vehicle information among different road networks is conveniently realized.

Fig. 7 is a flowchart of step S32 in fig. 6 in an exemplary embodiment.

In some embodiments, since the same road may include two road segments with opposite directions, that is, matching is performed by the latitude and longitude in the first attribute information, two virtual detectors with different direction angles may be matched. In order to improve the matching precision, the direction angle can be introduced to continue matching.

Referring to fig. 7, the above-mentioned step S32 may include the following steps.

In step S321, the virtual detector corresponding to the second longitude and latitude is used as a first candidate virtual detector, and the second attribute information of the first candidate virtual detector further includes a second direction angle.

In step S322, the first direction angle is compared with the second direction angle.

In step S323, if the angle difference between the first direction angle and the second direction angle is within the first angle tolerance range, the target virtual detector corresponding to the first segment is determined according to the first candidate virtual detector corresponding to the second direction angle.

In some embodiments, the first angular tolerance range may be, for example, [ -10, 10] degrees.

According to the technical scheme provided by the embodiment, the matching of the direction angle is performed on the basis of longitude and latitude matching, so that the matching accuracy of the virtual detector and the first road section can be improved, and the matching of the vehicle information among different road networks can be conveniently realized.

Fig. 8 is a flowchart of step S323 in fig. 7 in an exemplary embodiment.

In an actual road, since different road sections may overlap in longitude, latitude and direction angles (for example, the longitude, the latitude and the direction angles of a road section where a viaduct is located and a road section under the viaduct may be the same), matching by the longitude, the latitude and the direction angles may also be possible to match to a plurality of virtual detectors.

This embodiment provides another method by which exact matching can be performed.

In some embodiments, the first attribute information may further include a first road class (e.g., national road, provincial road, etc.) and a first road name, and the second attribute information may further include a second road class and a second road name.

Referring to fig. 8, the above-described step S323 may include the following steps.

In step S3231, the first candidate virtual detector corresponding to the second direction angle is used as the second candidate virtual detector corresponding to the first segment.

In step S3232, the second road class and the second road name corresponding to the second candidate virtual detector are respectively matched with the first road class and the first road name of the first road section.

In step S3233, a second candidate virtual detector matching the first road class and the first road name is used as a target virtual detector corresponding to the first road segment.

It is understood that the matching may be performed by the road grade alone, the road name alone, or a combination of the two, which is not limited by the present disclosure.

In addition, a scheme of matching according to other attribute information is also within the protection scope of the present disclosure.

According to the technical scheme provided by the embodiment, the matching of the virtual detector and the first road section is further completed through attribute information such as road grade, road name and the like, so that the target virtual detector corresponding to the first road section can be accurately determined from the virtual detector.

In the related art, different road networks may be used for different road network using objects, and the link information in different road networks may be different. For example, the road network used by object a is different from the road network used by object B in detail; for example, the road network used by the object a is different in version from the road network used by the object B.

In the related art, vehicle information in a road segment is relatively important information in a road network. The vehicle information of each road section is generally detected based on an entity detector (e.g., an entity device such as a coil detector, a microwave detector, or a video detector for detecting the vehicle information) deployed by a traffic control department.

However, the cost for completing the detection of the vehicle information in the road section based on the entity detector is very high (including the cost of on-road equipment, and the comprehensive cost of equipment background transmission, server data storage and processing), and the coverage area is small.

The embodiment of the disclosure provides a simple and quick vehicle information acquisition method with strong reusability.

FIG. 9 is a flowchart illustrating a vehicle information acquisition method according to an exemplary embodiment. The method provided by the embodiment of the present disclosure may be processed by any electronic device with computing processing capability, for example, the server 105 and/or the

terminal devices

Referring to fig. 9, the vehicle information acquisition method described above may include the following steps.

In step S01, a second road segment is acquired, the second road segment including a second road segment.

In some embodiments, the second road network may include a plurality of second road segments, each of which may in turn include a plurality of links. As shown in fig. 10, the road between two intersections may be used as the second road segment, which may include a plurality of links.

In some embodiments, the second path segment may be filtered as needed. For example: road sections which are low in road grade and are not concerned by management departments are abandoned, road sections which are located at far positions and are not covered by the floating car tracks at all are abandoned, and the like.

In step S02, a virtual detector is determined at a first location of the second road segment, the virtual detector including a third longitude and latitude and a third heading angle at the first location.

In some embodiments, for each second segment that remains after filtering, a link located at an intermediate position or the longest link is selected from the corresponding links as a representative link of the second segment, and a virtual detector VD (as shown in fig. 10) is generated at a key position of the representative link. The virtual detector establishes an association with a representative link of the second road segment.

In some embodiments, a midpoint of the representative link of the second road segment may be used as a positioning point of the virtual detector, and the longitude and latitude corresponding to the positioning point is a third longitude and latitude of the virtual detector; the direction of the flow at the representative link midpoint location of the second road segment may also be used as the third directional angle of the virtual detector. Referring to table 1, a series of road attributes representing links may be extracted as attributes of the virtual detector.

TABLE 1 Attribute List for virtual Detector

It will be appreciated that since the attributes of the individual links in the second road segment are substantially the same or similar, the virtual detector associated with the representative link may also be considered to be the virtual detector associated with the second road segment.

In some embodiments, each virtual detector may be assigned a unique ID based on actual traffic needs. The ID assignment scheme may be chosen in a variety of ways, as long as the uniqueness of the virtual detector ID is ensured. For example: the unique ID can be combined with a "city code" and a "virtual detector serial number", for example: 110000_000001, 110000_000002 … 110000, 110000_ 999999. The ID of the virtual detector will remain unchanged throughout the subsequent operational lifetime of the service system.

In step S03, vehicle information corresponding to the virtual detector is determined according to the floating car data passing through the second road segment within the target time.

According to the technical scheme provided by the embodiment, the virtual detectors comprising the longitude and latitude information and the direction angle information are determined for each second road section in the second road network, and then the vehicle information corresponding to each virtual detector is determined through the target floating vehicle data. On one hand, the vehicle information of each road section is simply and conveniently determined through the target floating car data, and the vehicle information and other attribute information corresponding to each road section are assigned to the virtual detector, so that a road network user can conveniently check and use the information; on the other hand, the virtual detector provided by the embodiment can be simply and conveniently multiplexed into different road networks through the third longitude and latitude and the third direction angle.

FIG. 11 is a flowchart of step S02 of FIG. 9 in an exemplary embodiment.

In some embodiments, the second network may include at least one link, which may have a one-to-one mapping relationship with the second segment.

Referring to fig. 11, the above-mentioned step S02 may include the following steps.

In step S021, the at least one link whose road grade is below a target threshold is filtered.

In the related art, roads may be classified into urban roads, highways, factory roads, forest roads, and rural roads. The attention degree of the country road and the forest road is low, and the probability of the floating vehicle passing is low, so that the corresponding links of the country road and the forest road can be filtered.

It is to be understood that the present disclosure is not limited to filtering rules, subject to actual requirements.

In step S022, determining a target link corresponding to the second road segment in the filtered at least one link according to the mapping relationship.

In some embodiments, the target links corresponding to the second road segments may be respectively determined in the filtered links according to the mapping relationship between the links and the second road segments.

In step S023, a first location of the second road segment is determined in the target link.

In some embodiments, the midpoint position of the target link located at the intermediate position corresponding to the second road segment may be taken as the first position.

Fig. 12 is a flowchart of step S03 in fig. 9 in an exemplary embodiment.

In some embodiments, the vehicle information in the second road segment may include traffic flow information on the second road segment. Referring to fig. 12, the above-described step S03 may include the following steps.

In step S031, the movement trajectory and the movement time of the target floating car are acquired.

In step S032, the number of floating cars passing through the second road section within the target time is determined according to the action track and the action time of the target floating car.

In some embodiments, each target floating car passing through the second road segment and its passing time may be obtained through road matching by a real-time motion trajectory of the target floating car.

In step S033, determining traffic flow information of the second road segment corresponding to the virtual detector according to the number of floating cars passing through the second road segment within the target time.

In some embodiments, the number of floating vehicles traversing the second road segment over the target time may be counted to determine traffic flow information on the second road segment over the target time.

It will be appreciated that the data for a target floating vehicle as received by the system will generally not include all motor vehicles on the road, but will only contain a proportion of the vehicles. Therefore, it is necessary to perform an expansion process on the counted floating traffic data, for example: if the system receives a target floating car that covers only 20% of the vehicles in the roadway, then the traffic data needs to be expanded by a factor of 5. Traffic sampling is a special technical problem, and there are many ways of doing this with different degrees of complexity, such as: the same sample expansion proportion is adopted in the whole city; or different road grades are distinguished, different sample expansion ratios are adopted in different time periods, and the like, which is not limited by the disclosure.

According to the technical scheme provided by the embodiment, the traffic flow information of each second road section is determined through the floating car data, and compared with the method for determining the traffic flow data through the entity detector, the cost is saved, and the efficiency is improved.

FIG. 13 is a flowchart of step S03 of FIG. 9 in an exemplary embodiment.

In some embodiments, the vehicle information on the second road segment includes congestion information for the second road segment. Referring to fig. 13, the above-mentioned step S03 may include the following steps.

In step S034, a movement trajectory and a movement time of the target floating car are acquired.

In step S035, an average time of each target floating car passing through the second road segment within the target time is determined according to the action trajectory and the action time of the target floating car.

In step S036, congestion information of the second road section corresponding to the virtual detector in the target time is determined according to an average time of each target floating car passing through the second road section in the target time.

According to the technical scheme provided by the embodiment, the congestion condition of each second road section is determined through the floating car data, and compared with the situation that the congestion condition of the road section is determined through the entity detector, the cost can be saved, and the efficiency can be improved.

Fig. 14 is a diagram illustrating a vehicle information acquisition method according to an exemplary embodiment. Referring to fig. 14, the vehicle information acquisition method described above may include the following steps.

In some embodiments, the road network needs to be updated at intervals due to the addition of new roads or the closing of problem roads. This embodiment proposes a method for multiplexing a virtual detector on an updated road network.

In step S04, the second road network is updated to obtain a third road network, where the third road network includes a third road segment, the third road segment includes a second location, and the second location is described by a fourth longitude and latitude and a fourth direction angle.

In step S05, the fourth longitude and latitude and the fourth direction angle are compared with the third longitude and latitude and the third direction angle, respectively.

In step S06, if the position difference between the fourth longitude and the third latitude is within a second position tolerance range, and the angle difference between the fourth direction angle and the third direction angle is within a second angle tolerance range, determining the virtual detector corresponding to the third path segment according to the third longitude and the third direction angle.

According to the technical scheme provided by the embodiment, the virtual detector and the third route section can be accurately matched through the third longitude and latitude information and the third direction angle information, so that the vehicle information in the third route section can be conveniently and quickly acquired, and the historical vehicle information can not be lost due to the updating of the road network information.

Fig. 15 is a flowchart of step S06 in fig. 14 in an exemplary embodiment.

In some embodiments, the first location may also be described by a third road level and a third road name, and the second location is also described by a fourth road level and a fourth road name. Referring to fig. 15, the above-described step S06 may include the following steps.

In step S061, the virtual detector corresponding to the third longitude and latitude and the third direction angle is used as a third candidate virtual detector corresponding to the third route segment.

In step S062, the third road class and the third road name of the third candidate virtual detector are matched with the fourth road class and the fourth road name of the third link.

In step S063, a third candidate virtual detector that matches the fourth road class and the fourth road name is used as the virtual detector corresponding to the third route segment.

According to the technical scheme provided by the embodiment, the virtual detector and the third route section can be accurately matched through the third longitude and latitude information, the third direction angle information and other attribute information, so that the vehicle information in the third route section can be conveniently and quickly acquired, and the loss of historical vehicle information caused by the updating of the road network information can be avoided.

FIG. 16 is an illustration of a vehicle information management system in accordance with an exemplary embodiment. As shown in fig. 16, the vehicle information management system may include: vehicle information computing system 1601, database 1602, vehicle data usage system 1603.

Among them, the vehicle information computing system 1601 includes: a virtual detector generating device 16011, a vehicle information calculating device 16012, and a vehicle information generating device 16013.

The virtual detector generating device 16011 can be used to obtain virtual detectors according to the road network, and mainly includes the following processes: and acquiring the virtual detector from the road network or updating the road network according to the actual situation, and then updating the mapping relation between the virtual detector and the link to determine the virtual detector of each road section in the updated road network.

The vehicle information computing device 16012 may be configured to determine target floating car data corresponding to a target virtual detector corresponding to a target road segment according to floating car data passing through the target road segment in the road network within a target time.

The vehicle information generating device 16013 may be configured to perform sample expansion processing on the target floating car data passing through the target road segment within the target time to obtain the vehicle information corresponding to the virtual detector.

The database 1602 may be used to store virtual detector information and vehicle information corresponding to the virtual detectors.

The vehicle information generating device 16013 may be configured to multiplex and display the virtual detectors and the corresponding vehicle information in different road networks for different road network users to use (for example, query or view through a map).

Fig. 17 is a block diagram illustrating a vehicle information display apparatus according to an exemplary embodiment. Referring to fig. 17, a vehicle information display apparatus 1700 provided in an embodiment of the present disclosure may include: a target map acquisition module 1701, a virtual detector acquisition module 1702, a matching module 1703, a first display module 1704, and a second display module 1705.

The target map obtaining module 1701 may be configured to display a target map, where the target map includes a first road network including a first road segment. The virtual detector acquisition module 1702 may be configured to acquire a virtual detector carrying vehicle information. The matching module 1703 may be configured to determine a target virtual detector corresponding to the first segment from the virtual detectors. The first display module 1704 may be configured to display the target virtual detector on the first road segment of the target map. The second display module 1705 may be configured to display vehicle information corresponding to the target virtual detector in response to a target instruction for the target virtual detector.

In some embodiments, the matching module 1703 may be further configured to match the first attribute information with the second attribute information, and determine a target virtual detector corresponding to the first segment from the virtual detectors.

In some embodiments, the matching module 1703 may include: the first comparison submodule and the first judgment submodule.

Since each functional module of the vehicle information display apparatus 1700 of the example embodiment of the present disclosure corresponds to the steps of the example embodiment of the vehicle information display method described above, it is not described herein again.

Fig. 18 is a block diagram illustrating a vehicle information acquisition apparatus according to an exemplary embodiment. Referring to fig. 18, a vehicle information acquisition apparatus 1800 provided by an embodiment of the present disclosure may include: a second network acquisition module 1801, a second virtual detector determination module 1802, and a vehicle information determination module 1803.

The second network obtaining module 1801 may be configured to obtain a second network, where the second network includes a second road segment. The second virtual detector determination module 1802 may be configured to determine a virtual detector at a first location of the second road segment, the virtual detector including a second longitude and latitude and a second heading angle at the first location. The vehicle information determining module 1803 may be configured to determine the vehicle information corresponding to the virtual detector according to the floating car data passing through the second road segment within the target time.

In some embodiments, the vehicle information acquisition device 1800 may further include: the road network updating module, the fourth comparing module and the fourth judging module.

In some embodiments, the second virtual detector determination module 1802 may include: a filtering submodule, a target link determining submodule, and a first position determining submodule.

In some embodiments, the vehicle information determination module 1803 may include: the device comprises a first moving track acquisition submodule, a floating car quantity acquisition submodule and a traffic flow information acquisition submodule.

In some embodiments, the vehicle information determination module 1803 may include: the system comprises a second moving track obtaining submodule, an average time obtaining submodule and a congestion information obtaining submodule.

Since the respective functional modules of the vehicle information acquisition apparatus 1800 of the example embodiment of the present disclosure correspond to the steps of the example embodiment of the vehicle information acquisition method described above, detailed description thereof is omitted.

Through the above description of the embodiments, those skilled in the art will readily understand that the exemplary embodiments described herein may be implemented by software, or by software in combination with necessary hardware. Therefore, the technical solution of the embodiment of the present disclosure may be embodied in the form of a software product, which may be stored in a non-volatile storage medium (which may be a CD-ROM, a usb disk, a removable hard disk, etc.), and includes several instructions for enabling a computing device (which may be a personal computer, a server, a mobile terminal, or a smart device, etc.) to execute the method according to the embodiment of the present disclosure, such as one or more of the steps shown in fig. 3.

Furthermore, the above-described figures are merely schematic illustrations of processes included in methods according to exemplary embodiments of the present disclosure, and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.

Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This disclosure is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice within the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.

It is to be understood that the disclosure is not limited to the details of construction, the arrangements of the drawings, or the manner of implementation that have been set forth herein, but on the contrary, is intended to cover various modifications and equivalent arrangements included within the spirit and scope of the appended claims.

Claims

1. A vehicle information display method characterized by comprising:

displaying a target map, wherein the target map comprises a first road network, and the first road network comprises a first road section;

acquiring a virtual detector carrying vehicle information;

determining a target virtual detector corresponding to the first segment from the virtual detectors;

displaying the target virtual detector on the first segment of the target map;

responding to a target instruction aiming at the target virtual detector, and displaying vehicle information corresponding to the target virtual detector;

the first segment comprises first attribute information, and the first attribute information comprises a first longitude and latitude, a first direction angle, a first road grade and a first road name; the virtual detector comprises second attribute information of road sections in a second road network, wherein the second attribute information comprises a second longitude and latitude, a second direction angle, a second road grade and a second road name; wherein determining a target virtual detector corresponding to the first segment from the virtual detectors comprises:

determining a plurality of virtual detectors corresponding to the first segment according to the first longitude and latitude, the second longitude and latitude, the first direction angle and the second direction angle;

selecting, from the plurality of virtual detectors, a virtual detector for which the first road class matches the second road class and for which the first road name matches the second road name as the target virtual detector.

2. The method of claim 1, wherein determining a plurality of virtual detectors corresponding to the first segment based on the first longitude and latitude, the second longitude and latitude, the first direction angle, and the second direction angle comprises:

comparing the first longitude and latitude with the second longitude and latitude;

and if the position difference between the first longitude and the second latitude is within a first position tolerance range, taking the plurality of virtual detectors corresponding to the second longitude and the second latitude as first candidate virtual detectors corresponding to the first road segment.

3. The method of claim 2, wherein determining a plurality of virtual detectors corresponding to the first segment based on the first longitude and latitude, the second longitude and latitude, the first direction angle, and the second direction angle comprises:

comparing the first orientation angle to a second orientation angle of the first candidate virtual detector;

and if the angle difference between the first direction angle and a second direction angle of the first candidate virtual detector is within a first angle tolerance range, determining a second candidate virtual detector corresponding to the first segment according to a plurality of first candidate virtual detectors corresponding to the second direction angle.

4. The method of claim 3, wherein selecting, as the target virtual detector, a virtual detector from the plurality of virtual detectors, the virtual detector having the first road class matching the second road class and the first road name matching the second road name comprises:

matching the second road grade and the second road name corresponding to the second candidate virtual detector with the first road grade and the first road name of the first road section respectively;

and taking a second candidate virtual detector matched with the first road grade and the first road name as a target virtual detector corresponding to the first road section.

5. A vehicle information acquisition method characterized by comprising:

acquiring a second road network, wherein the second road network comprises a second road section;

determining a virtual detector at a first location of the second road segment, the virtual detector including a third longitude and latitude, a third heading angle, a third road class, and a third road name at the first location;

determining vehicle information corresponding to the virtual detector according to the floating car data passing through the second road section within the target time;

updating the second road network to obtain a third road network, wherein the third road network comprises a third road section, the third road section comprises a second position, and the second position is described by a fourth longitude and latitude, a fourth direction angle, a fourth road grade and a fourth road name;

determining a plurality of virtual detectors corresponding to the third path segment according to the third longitude and latitude, the fourth longitude and latitude, the third direction angle and the fourth direction angle;

selecting, from the plurality of virtual detectors, a virtual detector for which the third road class matches the fourth road class and for which the third road name matches the fourth road name as a virtual detector corresponding to the third route segment.

6. The method of claim 5, wherein determining a plurality of virtual detectors corresponding to the third path segment based on the third longitude and latitude, the fourth longitude and latitude, the third directional angle, and the fourth directional angle comprises:

comparing the fourth longitude and latitude and the fourth direction angle with the third longitude and latitude and the third direction angle respectively;

and if the position difference between the fourth longitude and the third latitude is within a second position tolerance range, and the angle difference between the fourth direction angle and the third direction angle is within a second angle tolerance range, determining the virtual detector corresponding to the third path segment according to the plurality of virtual detectors corresponding to the third longitude and the third direction angle.

7. The method of claim 5, wherein selecting, from the plurality of virtual detectors, a virtual detector having the third road class matching the fourth road class and the third road name matching the fourth road name as the virtual detector corresponding to the third route segment comprises:

taking the virtual detector corresponding to the third longitude and latitude and the third direction angle as a third candidate virtual detector corresponding to the third route segment;

matching a third road grade and a third road name of the third candidate virtual detector with a fourth road grade and a fourth road name of the third road section;

and taking a third candidate virtual detector matched with the fourth road grade and the fourth road name as a virtual detector corresponding to the third road segment.

8. The method of claim 5, wherein the second network comprises at least one link, and the at least one link is mapped to the second segment; wherein determining a virtual detector at a first location of the second road segment comprises:

filtering the at least one link having a road grade below a target threshold;

determining a target link corresponding to the second road segment in the at least one filtered link according to the mapping relation;

a first location of the second segment is determined in the target link.

9. The method of claim 5, wherein the vehicle information includes traffic flow information for the second road segment; the step of determining the vehicle information corresponding to the virtual detector according to the floating car data passing through the second road section within the target time comprises the following steps:

acquiring the action track and action time of the target floating car;

determining the number of floating cars passing through the second road section within the target time according to the action track and the action time of the target floating car;

and determining the traffic flow information of the second road section corresponding to the virtual detector according to the number of the floating cars passing through the second road section in the target time.

10. The method of claim 5, wherein the vehicle information comprises congestion information for the second road segment; the step of determining the vehicle information corresponding to the virtual detector according to the floating car data passing through the second road section within the target time comprises the following steps:

acquiring the action track and action time of the target floating car;

determining the average time of each target floating car passing through the second road section in the target time according to the action track and the action time of the target floating car;

and determining congestion information of the second road section corresponding to the virtual detector in the target time according to the average time of each target floating car passing through the second road section in the target time.

11. A vehicle information display device characterized by comprising:

the target map acquisition module is configured to display a target map, wherein the target map comprises a first road network, and the first road network comprises a first road section;

a virtual detector acquisition module configured to acquire a virtual detector carrying vehicle information;

a matching module configured to determine a target virtual detector corresponding to the first segment from the virtual detectors;

a first display module configured to display the target virtual detector on the first segment of the target map;

the second display module is configured to respond to a target instruction aiming at the target virtual detector and display vehicle information corresponding to the target virtual detector;

12. The apparatus of claim 11, wherein the matching module comprises:

a first comparison submodule configured to compare the first longitude and latitude with the second longitude and latitude;

and the first judgment submodule is configured to take the plurality of virtual detectors corresponding to the second longitude and latitude as first candidate virtual detectors corresponding to the first path segment if the position difference between the first longitude and latitude and the second longitude and latitude is within a first position tolerance range.

13. The apparatus of claim 12, wherein the first determining sub-module comprises:

a second comparing unit configured to compare the first direction angle with a second direction angle of the first candidate virtual detector;

a second determining unit, configured to determine, according to the plurality of first candidate virtual detectors corresponding to the second direction angle, a second candidate virtual detector corresponding to the first segment if an angle difference between the first direction angle and a second direction angle of the first candidate virtual detector is within a first angle tolerance range.

14. The apparatus of claim 13, the second determining unit comprising:

a third comparing subunit, configured to match the second road class and the second road name corresponding to the second candidate virtual detector with the first road class and the first road name of the first road segment, respectively;

and the third judging subunit is configured to use a second candidate virtual detector matched with the first road grade and the first road name as a target virtual detector corresponding to the first road segment.

15. A vehicle information acquisition apparatus characterized by comprising:

the second network acquisition module is configured to acquire a second network, and the second network comprises a second road section;

a second virtual detector determination module configured to determine a virtual detector at a first location of the second road segment, the virtual detector including a third longitude and latitude, a third heading angle, a third road class, and a third road name at the first location;

the vehicle information determining module is configured to determine vehicle information corresponding to the virtual detector according to floating car data passing through the second road section within target time;

the road network updating module is used for updating the second road network to obtain a third road network, wherein the third road network comprises a third road section, the third road section comprises a second position, and the second position is described by a fourth longitude and latitude, a fourth direction angle, a fourth road grade and a fourth road name; determining a plurality of virtual detectors corresponding to the third path segment according to the third longitude and latitude, the fourth longitude and latitude, the third direction angle and the fourth direction angle; selecting, from the plurality of virtual detectors, a virtual detector for which the third road class matches the fourth road class and for which the third road name matches the fourth road name as a virtual detector corresponding to the third route segment.

16. The apparatus according to claim 15, wherein the vehicle information acquisition means further comprises:

a fourth comparing module configured to compare the fourth longitude and latitude and the fourth direction angle with the third longitude and latitude and the third direction angle, respectively;

and the fourth judging module is configured to determine the virtual detector corresponding to the third path segment according to the plurality of virtual detectors corresponding to the third longitude and the third direction angle if the position difference between the fourth longitude and the third longitude is within a second position tolerance range and the angle difference between the fourth direction angle and the third direction angle is within a second angle tolerance range.

17. The apparatus of claim 16, wherein the fourth determining module comprises:

a third candidate virtual detector obtaining sub-module configured to take a virtual detector corresponding to the third longitude and latitude and the third direction angle as a third candidate virtual detector corresponding to the third route segment;

a fifth comparison submodule configured to match a third road class and the third road name of the third candidate virtual detector with a fourth road class and a fourth road name of the third road segment;

and the fifth judgment submodule is configured to take a third candidate virtual detector matched with the fourth road grade and the fourth road name as a virtual detector corresponding to the third road segment.

18. The apparatus of claim 15, wherein the second network comprises at least one link, and wherein the at least one link is mapped to the second segment, and wherein the second virtual detector determining module comprises:

a filtering sub-module configured to filter the at least one link having a road grade below a target threshold;

a target link determining submodule configured to determine a target link corresponding to the second road segment in the at least one filtered link according to the mapping relationship;

a first location determination submodule configured to determine a first location of the second road segment in the target link.

19. The apparatus of claim 15, said vehicle information comprising traffic flow information for said second road segment; wherein the vehicle information determination module includes:

the first moving track acquisition sub-module is configured to acquire the action track and the action time of the target floating car;

the floating car quantity acquisition sub-module is configured to determine the quantity of the floating cars passing through the second road section within the target time according to the action track and the action time of the target floating car;

and the traffic flow information acquisition submodule is configured to determine the traffic flow information of the second road section corresponding to the virtual detector according to the number of floating cars passing through the second road section within the target time.

20. The apparatus of claim 15, said vehicle information comprising congestion information for said second road segment; wherein the vehicle information determination module includes:

the second movement track acquisition sub-module is configured to acquire the action track and the action time of the target floating car;

the average time obtaining sub-module is configured to determine the average time of each target floating car passing through the second road section within the target time according to the action track and the action time of the target floating car;

and the congestion information acquisition submodule is configured to determine congestion information of the second road section corresponding to the virtual detector in the target time according to the average time of each target floating car passing through the second road section in the target time.

21. An electronic device, comprising:

one or more processors;

a storage device for storing one or more programs,

when executed by the one or more processors, cause the one or more processors to implement the method of any one of claims 1-10.

22. A computer-readable storage medium, on which a computer program is stored, which program, when being executed by a processor, carries out the method according to any one of claims 1-10.