CN111815945A - Image acquisition method and device for congested road section, storage medium and electronic equipment - Google Patents
Image acquisition method and device for congested road section, storage medium and electronic equipment Download PDFInfo
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- CN111815945A CN111815945A CN201911301644.3A CN201911301644A CN111815945A CN 111815945 A CN111815945 A CN 111815945A CN 201911301644 A CN201911301644 A CN 201911301644A CN 111815945 A CN111815945 A CN 111815945A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
- G08G1/054—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed photographing overspeeding vehicles
Abstract
The disclosure provides an image acquisition method, an image acquisition device, a storage medium and electronic equipment for a congested road section, wherein the method comprises the following steps: determining a first congested road section meeting preset conditions at present according to the road condition information; determining an image acquisition area based on the first congested road section; and acquiring the vehicle-mounted image of each acquisition point of the vehicle in the image acquisition area. According to the method and the device, the image acquisition area of the congested road section meeting the conditions is determined, and the vehicle-mounted image of the vehicle passing through the image acquisition area at each acquisition point is acquired, so that the field condition of the congested road section is visually reflected by the vehicle-mounted image, data support can be provided for a city traffic manager to quickly restore and display the field picture of the congested road section, and the processing decision efficiency is improved.
Description
Technical Field
The disclosure relates to the field of mobile internet, and in particular to an image acquisition method and device for a congested road section, a storage medium and an electronic device.
Background
Navigation map companies generally acquire GPS position coordinate points of vehicles in real time in the navigation process, upload the GPS position coordinate points to a data center, calculate the congestion state of roads, release road conditions and provide travel time estimation and path planning for navigation users. The road condition data is distributed at a certain time interval by using a road unit (LINK) of a navigation road network as a basic unit. Congestion events, congestion which is a regular congestion and congestion which is an emergent abnormal congestion can be obtained through space-time aggregation of road condition data. In order to prevent traffic jam of a larger area caused by abnormal jam in urban traffic, a traffic management department needs to know the detailed situation of the occurrence of the jammed road section as soon as possible and carry out rapid command and scheduling. The method for acquiring the abnormal traffic events of the conventional urban command and dispatch center comprises three modes, namely a telephone access mode, a fixed video inspection mode and a navigation crowdsourcing mode data mining mode.
The telephone access mode is that a telephone access service special line is established in an urban command center, when a traffic accident occurs and a traffic police needs to deal with disputes, an accident party calls to carry out communication processing, and after knowing the position of the accident, a wiring operator judges the severity of the accident and records the severity, and then determines whether to assign a patrol police to carry out field processing or not; the main disadvantages are the inefficient handling of the accident and the non-intuitive location description. The fixed video inspection mode is that an inspection camera is installed near an important road in a city, and after abnormal congestion occurs, a traffic police positions the source of the abnormal congestion by operating the camera. Navigation mode of crowd-sourced mode data mining: the navigation software can find abnormal congested road sections through road conditions on one hand, and can report traffic events seen by users to a data processing center on the other hand, the data processing center performs filtering and cross verification of road condition congestion in combination with the road conditions, and then the traffic events are issued to navigation users and traffic managers.
Disclosure of Invention
The embodiment of the disclosure aims to provide an image acquisition method, an image acquisition device, a storage medium and electronic equipment for congested road sections, so as to solve the problems that in the prior art, an urban traffic manager cannot timely acquire real-time situation data of the congested road sections, cannot obtain data support, and affects decision processing efficiency.
In order to solve the technical problem, the embodiment of the present disclosure adopts the following technical solutions: an image acquisition method for a congested road segment comprises the following steps: determining a first congested road section meeting preset conditions at present according to the road condition information; determining an image acquisition area based on the first congested road section; and acquiring the vehicle-mounted image of each acquisition point of the vehicle in the image acquisition area.
Further, the determining, according to the road condition information, a first congested road segment that currently meets a preset condition includes: determining at least one second congestion road section according to real-time road condition information, wherein each second congestion road section comprises one road unit or is formed by aggregating a plurality of adjacent road units based on the connection relation among the road units; and determining the first congested road section meeting preset conditions in the second congested road sections on the basis of historical road condition information.
Further, the determining an image acquisition area based on the first congested road segment includes: determining a congestion starting unit in the first congestion section according to the connection relation between the road units in the first congestion section; determining at least one upstream road unit and/or at least one downstream road unit within a preset distance range from the congestion starting unit; and determining the congestion starting unit and at least one upstream road unit and/or at least one downstream road unit of the congestion starting unit as the image acquisition area.
Further, the acquiring the on-board image of each acquisition point of the vehicle in the image acquisition area comprises: acquiring a set of vehicles passing through the image acquisition area within a preset time period; determining at least one acquisition point of each vehicle within the image acquisition area; and controlling each vehicle to upload a vehicle-mounted image corresponding to image acquisition time, wherein the image acquisition time is the time of all acquisition points corresponding to the vehicle.
Further, the determining at least one acquisition point of each vehicle within the image acquisition area comprises: respectively determining a set of driving track points of each vehicle in the image acquisition area; sequentially obtaining the distance between any first track point and a second track point, wherein the second track point is a downstream track point adjacent to the first track point; deleting the second track point under the condition that the distance between the first track point and the second track point is smaller than or equal to a first threshold value; and determining the rest track points in the set of the driving track points as acquisition points, wherein the distance between any two adjacent acquisition points is greater than a first threshold value.
The embodiment of the present disclosure further provides an image capturing device for a congested road segment, including: the congestion road section determining module is used for determining a first congestion road section meeting preset conditions at present according to the road condition information; the acquisition region determining module is used for determining an image acquisition region based on the first congested road section; and the acquisition module is used for acquiring the vehicle-mounted image of each acquisition point of the vehicle in the image acquisition area.
Further, the congested road segment determining module is specifically configured to: determining at least one second congestion road section according to real-time road condition information, wherein each second congestion road section comprises one road unit or is formed by aggregating a plurality of adjacent road units based on the connection relation among the road units; and determining the first congested road section meeting preset conditions in the second congested road sections on the basis of historical road condition information.
Further, the acquisition region determining module is specifically configured to: determining a congestion starting unit in the first congestion section according to the connection relation between the road units in the first congestion section; determining at least one upstream road unit and/or at least one downstream road unit within a preset distance range from the congestion starting unit; and determining the congestion starting unit and at least one upstream road unit and/or at least one downstream road unit of the congestion starting unit as the image acquisition area.
Further, the acquisition module is specifically configured to: acquiring a set of vehicles passing through the image acquisition area within a preset time period; determining at least one acquisition point of each vehicle within the image acquisition area; and controlling each vehicle to upload a vehicle-mounted image corresponding to image acquisition time, wherein the image acquisition time is the time of all acquisition points corresponding to the vehicle.
Further, the acquisition module is specifically configured to: respectively determining a set of driving track points of each vehicle in the image acquisition area; sequentially obtaining the distance between any first track point and a second track point, wherein the second track point is a downstream track point adjacent to the first track point; deleting the second track point under the condition that the distance between the first track point and the second track point is smaller than or equal to a first threshold value; and determining the rest track points in the set of the driving track points as acquisition points, wherein the distance between any two adjacent acquisition points is greater than a first threshold value.
The embodiment of the present disclosure further provides a storage medium storing a computer program, where the computer program is executed by a processor to implement the steps of the method in any one of the above technical solutions.
An embodiment of the present disclosure further provides an electronic device, which at least includes a memory and a processor, where the memory stores a computer program, and the processor implements the steps of the method in any one of the above technical solutions when executing the computer program on the memory.
The beneficial effects of this disclosed embodiment lie in: by determining the image acquisition area of the congested road section meeting the conditions and acquiring the vehicle-mounted image of the vehicle passing through the image acquisition area at each acquisition point, the vehicle-mounted image intuitively reflects the field situation of the congested road section, so that data support can be provided for a city traffic manager to quickly restore and display the field picture of the congested road section, and the processing decision efficiency is improved.
Drawings
In order to more clearly illustrate the embodiments of the present disclosure or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present disclosure, and for those skilled in the art, other drawings can be obtained according to the drawings without creative efforts.
Fig. 1 is a flowchart of an image acquisition method for a congested road segment in a first embodiment of the present disclosure;
fig. 2 is a schematic structural diagram of an image acquisition device for a congested road segment in a second embodiment of the present disclosure;
fig. 3 is a schematic structural diagram of an electronic device in a fourth embodiment of the present disclosure.
Detailed Description
Various aspects and features of the disclosure are described herein with reference to the drawings.
It will be understood that various modifications may be made to the embodiments of the present application. Accordingly, the foregoing description should not be construed as limiting, but merely as exemplifications of embodiments. Other modifications will occur to those skilled in the art within the scope and spirit of the disclosure.
The accompanying drawings, which are incorporated in and constitute a part of the specification, illustrate embodiments of the disclosure and, together with a general description of the disclosure given above, and the detailed description of the embodiments given below, serve to explain the principles of the disclosure.
These and other characteristics of the present disclosure will become apparent from the following description of preferred forms of embodiment, given as non-limiting examples, with reference to the attached drawings.
It should also be understood that, although the present disclosure has been described with reference to some specific examples, a person of skill in the art shall certainly be able to achieve many other equivalent forms of the disclosure, having the characteristics as set forth in the claims and hence all coming within the field of protection defined thereby.
The above and other aspects, features and advantages of the present disclosure will become more apparent in view of the following detailed description when taken in conjunction with the accompanying drawings.
Specific embodiments of the present disclosure are described hereinafter with reference to the accompanying drawings; however, it is to be understood that the disclosed embodiments are merely exemplary of the disclosure that may be embodied in various forms. Well-known and/or repeated functions and structures have not been described in detail so as not to obscure the present disclosure with unnecessary or unnecessary detail. Therefore, specific structural and functional details disclosed herein are not to be interpreted as limiting, but merely as a basis for the claims and as a representative basis for teaching one skilled in the art to variously employ the present disclosure in virtually any appropriately detailed structure.
The specification may use the phrases "in one embodiment," "in another embodiment," "in yet another embodiment," or "in other embodiments," which may each refer to one or more of the same or different embodiments in accordance with the disclosure.
A first embodiment of the present disclosure provides an image collecting method for a congested road segment, where an image of the congested road segment collected by the method may be used as a data support for a city traffic manager (such as a government traffic manager, a traffic police, etc.) to perform a grooming process on the congested road segment, and a flowchart of the method is shown in fig. 1, and mainly includes steps S101 to S103:
s101, determining a first congestion road section meeting preset conditions at present according to the road condition information.
In the running process of urban traffic, the urban traffic management department or a company providing navigation service and the like can determine the current road section in a congestion state according to road condition information in the city through the background server, and the background server can also communicate with vehicle-mounted image shooting equipment of each vehicle, issue a control instruction to the vehicle-mounted image shooting equipment and receive vehicle-mounted images uploaded by the vehicle-mounted image shooting equipment. Specifically, a road segment may be composed of one road unit, or may be formed by aggregating a plurality of road units according to a connection relationship, when determining whether a road in an city is congested, a speed of all vehicles passing through each road unit in a certain time period in the city road network may be measured in a manner of a GPS satellite, a speed measurement camera, and the like, and according to an average speed of all vehicles, a running state of the road unit is determined based on a level of the road unit and an average speed of the vehicles, the running state mainly includes four discrete states of clear, slow running, congested and severe congestion, and the congestion state and the severe congestion state are collectively referred to as a congestion state in this embodiment.
When the traffic jam detection method is used actually, a first jam road section meeting preset conditions at present is determined mainly according to road condition information such as real-time road condition information and historical road condition information. Specifically, at least one second congested road segment is determined in road network data of a current city based on real-time road condition information, wherein each second congested road segment may include a road unit, or is formed by aggregating a plurality of adjacent road units based on a connection relationship between the road units, and is mainly determined based on longitude and latitude coordinates of head and tail ends of the road units, that is, the second congested road segment may be formed by one road unit in a congested state, or formed by a plurality of adjacent road units in a congested state.
And after at least one second congested road section is determined, screening out a road section meeting the preset condition as a first congested road section based on historical road condition information. Specifically, the congested road segment may be divided into a normal congested road segment and an abnormal congested road segment, where the normal congested road segment is that the road segment is in a congested state at the same time every day, for example, a driving trunk is often in a congested state at peak hours in the morning and evening, which is caused by concentrated traveling of vehicles rather than road segment congestion caused by accidents and other sudden factors, and the abnormal congested road segment is a congestion situation caused by traffic accidents, natural disasters and other sudden situations, when a traffic manager handles the normal congested road segment, the traffic manager basically can only perform congestion dispersion through on-site command, and when an abnormal congestion occurs, due to the burstiness and uncertainty of the traffic manager, the traffic manager needs to perform different processing in combination with the on-site situation when handling the abnormal congestion situation, so that the embodiment should eliminate the normal road segment when determining the first congested road segment, and only perform on-site image acquisition on the abnormal congested road segment, that is, in this embodiment, the preset condition is that all abnormally congested road segments are screened from the second congested road segments according to the historical road condition information to serve as the first congested road segments, the number of the first congested road segments may also be one or more, and certainly, there are all currently congested road segments without abnormally congested road segments, and at this time, the amount of the first congested road segments is zero, and subsequent steps may not be performed.
And S102, determining an image acquisition area based on the first congestion road section.
After the first congestion road sections are determined, for each first congestion road section, an image acquisition area corresponding to the first congestion road section needs to be determined. In general, after a traffic accident occurs in one road unit, a downstream road unit of the road unit is also congested, for example, when the current road unit is an a avenue and the downstream road unit is a B avenue, when the traffic accident occurs in the a avenue, the congestion occurs in the a avenue due to the fact that a normal driving road of a vehicle is blocked, and then the congestion also occurs in the B avenue downstream of the a avenue, the purpose of determining the image acquisition area of the first congested road section is to determine the road section at which the congestion occurs at the beginning, and by acquiring the field image of the road section at which the congestion occurs at the beginning, the congestion cause can be quickly determined, so that a traffic manager can make a decision to deal with the congestion conveniently.
In actual implementation, firstly, determining a congestion starting unit in a first congestion section according to a connection relation between road units in the first congestion section, wherein the congestion starting unit is usually the most upstream road unit in all road units in the first congestion section, and when only one road unit is in the first congestion section, the road unit is the congestion starting unit; then, in order to ensure the integrity of an image acquisition area, the acquired image can reflect the scene condition better, on the basis of a congestion starting unit, at least one upstream road unit and/or at least one downstream road unit within a preset distance range from the congestion starting unit are determined, for example, at least one upstream road unit and/or at least one downstream road unit within 1 kilometer from the congestion starting unit, and the congestion starting unit and at least one upstream road unit and/or at least one downstream road unit of the congestion starting unit are determined as the image acquisition area; or, when the preset distance is short and is not enough to cover a complete road unit, a part of the road units close to one end of the congestion starting unit in the upstream road unit and/or the downstream road unit of the congestion starting unit and the congestion starting unit can be used as the image acquisition area together.
S103, acquiring the vehicle-mounted image of each acquisition point of the vehicle in the image acquisition area.
After the image acquisition area is determined, all vehicles passing through the image acquisition area within a preset time period are controlled to upload vehicle-mounted images corresponding to the acquisition points, and the vehicle-mounted images uploaded by the vehicles are used as data support for a traffic manager to know the field situation of the area after being received. It should be understood that, after the image acquisition area is determined, a set of all vehicles passing through the image acquisition area within a preset time period needs to be determined, where the preset time period mainly refers to a time period between a time point when a certain road segment is determined to be a congested road segment and a time point when the congested road segment is determined after a fixed time is calculated forward, for example, when a street a is determined to be a congested road segment in time 11 and 58 minutes, the fixed time is 3 minutes, the preset time period is 55 minutes to 11 minutes 58 minutes when the preset time period is 11 minutes, or the preset time period may also be a fixed time period, for example, every 3 minutes is determined to be a preset time period, and the preset time period is determined according to a time period when the congested road segment is determined to be located; the vehicles passing through the image acquisition area refer to vehicles which drive into the area within a preset time period and drive out after driving along the congestion starting unit and the upstream and downstream units, and do not include vehicles which do not drive out of the area, so that the acquired vehicle-mounted images can include images of all road units in the area.
And determining at least one acquisition point of each vehicle passing through the image acquisition area in the image acquisition area, wherein the acquisition point is a point at which the corresponding vehicle-mounted image is required to be uploaded in the process of driving the vehicle on a road unit in the image acquisition area, and is mainly determined according to the driving track point of the vehicle in the image acquisition area and the distance between the driving track points. Specifically, in order to ensure that when the vehicle uploads the vehicle-mounted image, the content of the vehicle-mounted image is not similar because the acquisition points are too dense, the driving track points are screened through the judgment of the distance between the driving track points in the embodiment, and the remaining driving track points after screening are directly used as the acquisition points to upload the image, so that the number of image acquisition is reduced, and the judgment of the traffic police on the site condition in the image acquisition area is not influenced.
Taking a vehicle passing through an image acquisition area within a preset time period as an example, when an acquisition point is determined, firstly determining a set of running track points of the vehicle in the image acquisition area, wherein the running track points can be position points corresponding to the vehicle every 5 seconds, namely, the position corresponding to the vehicle every 5 seconds is a running track point from the time when the vehicle runs into the image acquisition area until the vehicle runs out of the image acquisition area, and it should be understood that determining one running track point every 5 seconds is only a preferred implementation mode, and the determination time interval of the running track points can be adjusted according to different actual conditions in actual use; then, sequentially determining the distance between any one first track point and any one second track point from the first running track point, and deleting the second track point under the condition that the distance between the first track point and the second track point is smaller than or equal to a first threshold value, wherein the second track point is a downstream track point adjacent to the first track point; if the distance between the current first track point and the current second track point is less than or equal to the first threshold value, after deleting the current second track point, taking the next track point of the current second track point as a new second track point, calculating the distance between the current first track point and the current second track point again, if the distance between the current first track point and the current second track point is larger than a first threshold value, keeping the current first track point and the current second track point, and taking the downstream track points adjacent to the current second track point as new second track points, taking the current second track point as new first track points, continuing to calculate the distance between the track points until the distance between all the track points is calculated, and finally, taking the rest track points in the set of the running track points as acquisition points, wherein the distance between any two adjacent acquisition points is larger than a first threshold value.
It should be noted that the determination of the acquisition point should be performed for each vehicle in all vehicles passing through the image acquisition area within a preset time, that is, different vehicles may finally determine different acquisition points, each acquisition point corresponds to different time, that is, time when the vehicle passes through the acquisition point, in this embodiment, time of all acquisition points corresponding to vehicles is collectively referred to as image acquisition time, and at this time, it is possible to control each vehicle to upload a vehicle-mounted image corresponding to the image acquisition time, and receive a vehicle-mounted image frame corresponding to the image acquisition time uploaded by each vehicle, as a basis for a traffic manager to process a congestion scene.
Specifically, the image acquisition time, the image acquisition area shape, the task state information and the like can be formed into a task with a unique task ID to be issued to the vehicle in a task issuing mode, and the task can be stored in a congestion database; and when the vehicle-mounted image uploaded by the vehicle is received, the vehicle-mounted image is stored into a corresponding congestion database, an index of the vehicle-mounted image and a corresponding task ID is established, at the moment, the task state information of the task is modified into an acquired image or is finished, and the task is represented to be finished. The traffic manager can check the data in the congestion database at any time, and the data in the congestion database can also be used as historical road condition data.
In the embodiment, after congestion occurs, traffic managers can visually acquire the field situation of the congested road section by determining the image acquisition area of the congested road section according with the condition and acquiring the vehicle-mounted images of vehicles passing through the image acquisition area at each acquisition point, so that data support is provided for traffic managers to process congestion events, and the processing and decision-making efficiency of the traffic managers is improved.
A second embodiment of the present disclosure provides an image collecting device for a congested road segment, where an image of the congested road segment collected by the image collecting device can be used as a data support for an urban traffic manager to perform a grooming process on the congested road segment, and is mainly installed in a background server of an urban traffic management department or a company providing a navigation service, and a schematic structural diagram of the image collecting device is shown in fig. 2, and mainly includes: the congested road section determining module 10 is configured to determine a first congested road section that currently meets a preset condition according to the road condition information; an acquisition area determination module 20, coupled to the congested road segment determination module 10, for determining an image acquisition area based on the first congested road segment; and the acquisition module 30 is coupled with the acquisition region determination module 20 and is used for acquiring the vehicle-mounted image of each acquisition point of the vehicle in the image acquisition region.
In the running process of urban traffic, the urban traffic management department or a company providing navigation service and the like can determine the current road section in a congestion state according to road condition information in the city through the background server, and the background server can also communicate with vehicle-mounted image shooting equipment of each vehicle, issue a control instruction to the vehicle-mounted image shooting equipment and receive vehicle-mounted images uploaded by the vehicle-mounted image shooting equipment. Specifically, a road segment may be composed of one road unit, or may be formed by aggregating a plurality of road units according to a connection relationship, when determining whether a road in an city is congested, a speed of all vehicles passing through each road unit in a certain time period in the city road network may be measured in a manner of a GPS satellite, a speed measurement camera, and the like, and according to an average speed of all vehicles, a running state of the road unit is determined based on a level of the road unit and an average speed of the vehicles, the running state mainly includes four discrete states of clear, slow running, congested and severe congestion, and the congestion state and the severe congestion state are collectively referred to as a congestion state in this embodiment.
In actual use, the congested road section determining module 10 determines a first congested road section that currently meets a preset condition according to road condition information such as real-time road condition information and historical road condition information. Specifically, the congested road section determining module 10 first determines at least one second congested road section in road network data of a current city based on real-time road condition information, where each second congested road section may include a road unit, or is formed by aggregating a plurality of adjacent road units based on a connection relationship between the road units, and is mainly determined based on longitude and latitude coordinates of head and tail ends of the road units, that is, the second congested road section may be formed by one road unit in a congested state, or formed by a plurality of adjacent road units in a congested state.
After determining at least one second congested road segment, the congested road segment determining module 10 selects a road segment meeting the preset condition as a first congested road segment based on the historical road condition information. Specifically, the congested road segments may be divided into normal congested road segments and abnormal congested road segments, where a normal congested road segment is a road segment that is in a congested state at the same time every day, and an abnormal congested road segment is a congestion condition caused by emergency situations such as traffic accidents, natural disasters, and the like, when a traffic manager processes a normal congested road segment, the traffic manager can achieve congestion evacuation only through on-site command, and when an abnormal congestion occurs, due to the emergency and uncertainty of the normal congestion, the traffic manager needs to perform different processing according to the on-site situation during processing, therefore, the congested road segment determining module 10 should exclude the normal congested road segment when determining the first congested road segment, and only perform on-site image acquisition on the abnormal congested road segment, that is, in this embodiment, the preset condition is to select all abnormal congested road segments from the second congested road segments as the first congested road segments according to historical road condition information, the number of the first congested road sections may also be one or more, and certainly, there are all current congested road sections without abnormal congested road sections, and at this time, the amount of the first congested road sections is zero, and subsequent processing may not be performed.
After the first congested road segments are determined, the acquisition region determination module 20 needs to determine, for each first congested road segment, an image acquisition region corresponding to the first congested road segment. Under a normal condition, after a traffic accident occurs in one road unit, the downstream road unit of the road unit is also congested, the purpose of determining the image acquisition area of the first congested road section is to determine the road section at which congestion occurs at the beginning, and by acquiring the field image of the road section at which congestion occurs at the beginning, the congestion reason can be quickly judged, so that a traffic manager can make a decision on processing congestion conveniently.
In actual implementation, the acquisition region determining module 20 determines a congestion starting unit in the first congested road segment according to a connection relationship between road units in the first congested road segment, where the congestion starting unit is usually the most upstream road unit in all road units in the first congested road segment, and when there is only one road unit in the first congested road segment, the road unit is the congestion starting unit; then, in order to ensure the integrity of an image acquisition area, the acquired image can reflect the situation of the scene better, on the basis of a congestion starting unit, at least one upstream road unit and/or at least one downstream road unit within a preset distance range from the congestion starting unit are determined, and the congestion starting unit and the at least one upstream road unit and/or at least one downstream road unit of the congestion starting unit are determined as the image acquisition area; or, when the preset distance is short and is not enough to cover a complete road unit, a part of the road units close to one end of the congestion starting unit in the upstream road unit and/or the downstream road unit of the congestion starting unit and the congestion starting unit can be used as the image acquisition area together.
After the image acquisition area is determined, the acquisition module 30 controls all vehicles passing through the image acquisition area within a preset time period to upload the vehicle-mounted images corresponding to the acquisition points, and after the vehicle-mounted images uploaded by the vehicles are received, the vehicle-mounted images are used as data support for a traffic manager to know the field situation of the area. It should be understood that, after the image acquisition area is determined, a set of all vehicles passing through the image acquisition area within a preset time period needs to be determined, where the preset time period mainly refers to a time between a certain time and a time for determining a congested road section after a fixed time is calculated forward from a time at which the certain road section is determined to be the congested road section, or the preset time period may also be a fixed time period, and the preset time period is determined according to the time period at which the time for determining the congested road section is located; the vehicles passing through the image acquisition area refer to vehicles which drive into the area within a preset time period and drive out after driving along the congestion starting unit and the upstream and downstream units, and do not include vehicles which do not drive out of the area, so that the acquired vehicle-mounted images can include images of all road units in the area.
The acquisition module 30 determines at least one acquisition point of each vehicle passing through the image acquisition area in the image acquisition area, wherein the acquisition point is a point at which a corresponding vehicle-mounted image needs to be uploaded in the process of driving the vehicle on a road unit in the image acquisition area, and is mainly determined according to the driving track point of the vehicle in the image acquisition area and the distance between the driving track points. Specifically, in order to ensure that when the vehicle uploads the vehicle-mounted image, the content of the vehicle-mounted image is not similar because the acquisition points are too dense, the driving track points are screened through the judgment of the distance between the driving track points in the embodiment, and the remaining driving track points after screening are directly used as the acquisition points to upload the image, so that the number of image acquisition is reduced, and the judgment of the traffic police on the site condition in the image acquisition area is not influenced.
Taking a vehicle passing through an image acquisition area within a preset time period as an example, when determining an acquisition point, the acquisition module 30 first determines a set of travel track points of the vehicle in the image acquisition area, where the travel track points may be position points corresponding to the vehicle every 5 seconds, that is, a position corresponding to the vehicle every 5 seconds is a travel track point from the start of the vehicle entering the image acquisition area until the vehicle exits the image acquisition area, it should be understood that determining one travel track point every 5 seconds is only a preferred embodiment, and the determination time interval of the travel track points may be adjusted according to different actual conditions in actual use; then, sequentially determining the distance between any one first track point and any one second track point from the first running track point, and deleting the second track point under the condition that the distance between the first track point and the second track point is smaller than or equal to a first threshold value, wherein the second track point is a downstream track point adjacent to the first track point; if the distance between the current first track point and the current second track point is less than or equal to the first threshold value, after deleting the current second track point, taking the next track point of the current second track point as a new second track point, calculating the distance between the current first track point and the current second track point again, if the distance between the current first track point and the current second track point is larger than a first threshold value, keeping the current first track point and the current second track point, and taking the downstream track points adjacent to the current second track point as new second track points, taking the current second track point as new first track points, continuing to calculate the distance between the track points until the distance between all the track points is calculated, and finally, taking the rest track points in the set of the running track points as acquisition points, wherein the distance between any two adjacent acquisition points is larger than a first threshold value.
It should be noted that, the above determination of the acquisition point should be performed by the acquisition module 30 for each vehicle in all vehicles passing through the image acquisition area within a preset time, that is, different vehicles may finally determine different acquisition points, each acquisition point corresponds to different time, that is, time when the vehicle passes through the acquisition point, in this embodiment, time of all acquisition points corresponding to vehicles is collectively referred to as image acquisition time, at this time, it is controllable that each vehicle uploads a vehicle-mounted image corresponding to the image acquisition time, and receives a vehicle-mounted image frame corresponding to the image acquisition time uploaded by each vehicle, which is used as a basis for the traffic manager to process the congestion scene.
Specifically, the acquisition module 30 may form a task with a unique task ID from the image acquisition time, the image acquisition area shape, the task state information, and the like in a following task sending manner, and may store the task in the congestion database; and when the vehicle-mounted image uploaded by the vehicle is received, the vehicle-mounted image is stored into a corresponding congestion database, an index of the vehicle-mounted image and a corresponding task ID is established, at the moment, the task state information of the task is modified into an acquired image or is finished, and the task is represented to be finished. The traffic manager can check the data in the congestion database at any time, and the data in the congestion database can also be used as historical road condition data.
In the embodiment, after congestion occurs, traffic managers can visually acquire the field situation of the congested road section by determining the image acquisition area of the congested road section according with the condition and acquiring the vehicle-mounted images of vehicles passing through the image acquisition area at each acquisition point, so that data support is provided for traffic managers to process congestion events, and the processing and decision-making efficiency of the traffic managers is improved.
A third embodiment of the present disclosure provides a storage medium, which is a computer-readable medium storing a computer program that, when executed by a processor, implements the method provided by the first embodiment of the present disclosure, including the following steps S11 to S13:
s11, determining a first congestion road section meeting preset conditions at present according to the road condition information;
s12, determining an image acquisition area based on the first congestion road section;
s13, acquiring the vehicle-mounted image of each acquisition point of the vehicle in the image acquisition area.
When the computer program is executed by the processor according to the road condition information and a first congestion road section meeting the preset condition is determined, the following steps are specifically executed by the processor: determining at least one second congestion road section according to the real-time road condition information, wherein each second congestion road section comprises one road unit or is formed by aggregating a plurality of adjacent road units based on the connection relation among the road units; and determining a first congested road section meeting a preset condition in the second congested road sections based on the historical road condition information.
When the computer program is executed by the processor to determine the image acquisition area based on the first congestion section, the processor specifically executes the following steps: determining a congestion starting unit in the first congestion road section according to the connection relation between the road units in the first congestion road section; determining at least one upstream road unit and/or at least one downstream road unit within a preset distance range from a congestion starting unit; and determining a congestion starting unit and at least one upstream road unit and/or at least one downstream road unit of the congestion starting unit as an image acquisition area.
When the computer program is executed by the processor to acquire the vehicle-mounted image of each acquisition point of the vehicle in the image acquisition area, the processor specifically executes the following steps: acquiring a set of vehicles passing through an image acquisition area within a preset time period; determining at least one acquisition point of each vehicle within an image acquisition area; and controlling each vehicle to upload the vehicle-mounted images corresponding to the image acquisition time, wherein the image acquisition time is the time of all acquisition points corresponding to the vehicles.
When the computer program is executed by the processor to determine at least one acquisition point of each vehicle in the image acquisition area, the following steps are executed by the processor: respectively determining a set of driving track points of each vehicle in an image acquisition area; sequentially obtaining the distance between any first track point and a second track point, wherein the second track point is a downstream track point adjacent to the first track point; deleting the second track point under the condition that the distance between the first track point and the second track point is smaller than or equal to a first threshold value; and determining the rest track points in the set of the driving track points as acquisition points, wherein the distance between any two adjacent acquisition points is greater than a first threshold value.
According to the method and the device, the image acquisition area of the congested road section meeting the conditions is determined, and the vehicle-mounted image of the vehicle passing through the image acquisition area at each acquisition point is acquired, so that the field condition of the congested road section is visually reflected by the vehicle-mounted image, data support can be provided for a city traffic manager to quickly restore and display the field picture of the congested road section, and the processing decision efficiency is improved.
A fourth embodiment of the present disclosure provides an electronic device, a schematic structural diagram of which may be as shown in fig. 3, and the electronic device at least includes a memory 100 and a processor 200, where the memory 100 stores a computer program, and the processor 200 implements the method provided in any embodiment of the present disclosure when executing the computer program on the memory 100. Illustratively, the electronic device computer program steps are as follows S21-S23:
s21, determining a first congestion road section meeting preset conditions at present according to the road condition information;
s22, determining an image acquisition area based on the first congestion road section;
s23, acquiring the vehicle-mounted image of each acquisition point of the vehicle in the image acquisition area.
When the processor determines that the first congestion road section meets the preset condition currently according to the road condition information stored in the execution memory, the processor specifically executes the following computer program: determining at least one second congestion road section according to the real-time road condition information, wherein each second congestion road section comprises one road unit or is formed by aggregating a plurality of adjacent road units based on the connection relation among the road units; and determining a first congested road section meeting a preset condition in the second congested road sections based on the historical road condition information.
When the processor determines the image acquisition area based on the first congested road segment stored in the memory, the following computer program is specifically executed: determining a congestion starting unit in the first congestion road section according to the connection relation between the road units in the first congestion road section; determining at least one upstream road unit and/or at least one downstream road unit within a preset distance range from a congestion starting unit; and determining a congestion starting unit and at least one upstream road unit and/or at least one downstream road unit of the congestion starting unit as an image acquisition area.
The processor executes the following computer program when executing the vehicle-mounted image which is stored on the memory and used for acquiring each acquisition point of the vehicle in the image acquisition area: acquiring a set of vehicles passing through an image acquisition area within a preset time period; determining at least one acquisition point of each vehicle within an image acquisition area; and controlling each vehicle to upload the vehicle-mounted images corresponding to the image acquisition time, wherein the image acquisition time is the time of all acquisition points corresponding to the vehicles.
The processor, when executing the at least one acquisition point stored on the memory that determines each vehicle to be within the image acquisition area, specifically executes the following computer program: respectively determining a set of driving track points of each vehicle in an image acquisition area; sequentially obtaining the distance between any first track point and a second track point, wherein the second track point is a downstream track point adjacent to the first track point; deleting the second track point under the condition that the distance between the first track point and the second track point is smaller than or equal to a first threshold value; and determining the rest track points in the set of the driving track points as acquisition points, wherein the distance between any two adjacent acquisition points is greater than a first threshold value.
According to the method and the device, the image acquisition area of the congested road section meeting the conditions is determined, and the vehicle-mounted image of the vehicle passing through the image acquisition area at each acquisition point is acquired, so that the field condition of the congested road section is visually reflected by the vehicle-mounted image, data support can be provided for a city traffic manager to quickly restore and display the field picture of the congested road section, and the processing decision efficiency is improved.
In some embodiments, the clients, servers may communicate using any currently known or future developed network protocol, such as HTTP (HyperText transfer protocol), and may be interconnected with any form or medium of digital data communication (e.g., a communications network). Examples of communication networks include a Local Area Network (LAN), a Wide Area Network (WAN), the internet (e.g., the internet), and peer-to-peer networks (e.g., ad hoc peer-to-peer networks), as well as any currently known or future developed network.
The storage medium may be included in the electronic device; or may exist separately without being assembled into the electronic device.
The storage medium carries one or more programs that, when executed by the electronic device, cause the electronic device to: acquiring at least two internet protocol addresses; sending a node evaluation request comprising at least two internet protocol addresses to node evaluation equipment, wherein the node evaluation equipment selects the internet protocol addresses from the at least two internet protocol addresses and returns the internet protocol addresses; receiving an internet protocol address returned by the node evaluation equipment; wherein the obtained internet protocol address indicates an edge node in the content distribution network.
Alternatively, the storage medium carries one or more programs that, when executed by the electronic device, cause the electronic device to: receiving a node evaluation request comprising at least two internet protocol addresses; selecting an internet protocol address from at least two internet protocol addresses; returning the selected internet protocol address; wherein the received internet protocol address indicates an edge node in the content distribution network.
Computer program code for carrying out operations for the present disclosure may be written in any combination of one or more programming languages, including but not limited to an object oriented programming language such as Java, Smalltalk, C + +, and conventional procedural programming languages, such as the "C" programming language or similar programming languages. The program code may execute entirely on the user's computer, partly on the user's computer, as a stand-alone software package, partly on the user's computer and partly on a remote computer or entirely on the remote computer or server. In the case of a remote computer, the remote computer may be connected to the user's computer through any type of network, including a Local Area Network (LAN) or a Wide Area Network (WAN), or the connection may be made to an external computer (for example, through the Internet using an Internet service provider).
It should be noted that the storage media described above in this disclosure can be computer readable signal media or computer readable storage media 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 disclosure, 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 contrast, in the present disclosure, a computer readable signal medium may comprise a propagated data signal with computer readable program code embodied therein, either 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 storage medium 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 storage medium may be transmitted using any appropriate medium, including but not limited to: electrical wires, optical cables, RF (radio frequency), 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 disclosure. 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 and/or flowchart illustration, and combinations of blocks in the block diagrams and/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 units described in the embodiments of the present disclosure may be implemented by software or hardware. Where the name of an element does not in some cases constitute a limitation on the element itself.
The functions described herein above may be performed, at least in part, by one or more hardware logic components. For example, without limitation, exemplary types of hardware logic components that may be used include: field Programmable Gate Arrays (FPGAs), Application Specific Integrated Circuits (ASICs), Application Specific Standard Products (ASSPs), systems on a chip (SOCs), Complex Programmable Logic Devices (CPLDs), and the like.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. A machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on 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.
The foregoing description is only exemplary of the preferred embodiments of the disclosure and is illustrative of the principles of the technology employed. It will be appreciated by those skilled in the art that the scope of the disclosure herein is not limited to the particular combination of features described above, but also encompasses other embodiments in which any combination of the features described above or their equivalents does not depart from the spirit of the disclosure. For example, the above features and (but not limited to) the features disclosed in this disclosure having similar functions are replaced with each other to form the technical solution.
Further, while operations are depicted in a particular order, this should not be understood as requiring that such operations be performed in the particular order shown or in sequential order. Under certain circumstances, multitasking and parallel processing may be advantageous. Likewise, while several specific implementation details are included in the above discussion, these should not be construed as limitations on the scope of the disclosure. Certain features that are described in the context of separate embodiments can also be implemented in combination in a single embodiment. Conversely, various features that are described in the context of a single embodiment can also be implemented in multiple embodiments separately or in any suitable subcombination.
Although the subject matter has been described in language specific to structural features and/or methodological acts, it is to be understood that the subject matter defined in the appended claims is not necessarily limited to the specific features or acts described above. Rather, the specific features and acts described above are disclosed as example forms of implementing the claims.
While the present disclosure has been described in detail with reference to the embodiments, the present disclosure is not limited to the specific embodiments, and those skilled in the art can make various modifications and alterations based on the concept of the present disclosure, and the modifications and alterations should fall within the scope of the present disclosure as claimed.
Claims (12)
1. An image acquisition method for a congested road section is characterized by comprising the following steps:
determining a first congested road section meeting preset conditions at present according to the road condition information;
determining an image acquisition area based on the first congested road section;
and acquiring the vehicle-mounted image of each acquisition point of the vehicle in the image acquisition area.
2. The image acquisition method according to claim 1, wherein the determining, according to the road condition information, the first congested road segment currently meeting the preset condition comprises:
determining at least one second congestion road section according to real-time road condition information, wherein each second congestion road section comprises one road unit or is formed by aggregating a plurality of adjacent road units based on the connection relation among the road units;
and determining the first congested road section meeting preset conditions in the second congested road sections on the basis of historical road condition information.
3. The image acquisition method according to claim 1, wherein the determining an image acquisition area based on the first congested road segment comprises:
determining a congestion starting unit in the first congestion section according to the connection relation between the road units in the first congestion section;
determining at least one upstream road unit and/or at least one downstream road unit within a preset distance range from the congestion starting unit;
and determining the congestion starting unit and at least one upstream road unit and/or at least one downstream road unit of the congestion starting unit as the image acquisition area.
4. The image capturing method according to claim 1, wherein the capturing an on-board image of each capture point of the vehicle in the image capture area comprises:
acquiring a set of vehicles passing through the image acquisition area within a preset time period;
determining at least one acquisition point of each vehicle within the image acquisition area;
and controlling each vehicle to upload a vehicle-mounted image corresponding to image acquisition time, wherein the image acquisition time is the time of all acquisition points corresponding to the vehicle.
5. The image capturing method of claim 4, wherein said determining at least one capture point for each said vehicle within said image capture area comprises:
respectively determining a set of driving track points of each vehicle in the image acquisition area;
sequentially obtaining the distance between any first track point and a second track point, wherein the second track point is a downstream track point adjacent to the first track point;
deleting the second track point under the condition that the distance between the first track point and the second track point is smaller than or equal to a first threshold value;
and determining the rest track points in the set of the driving track points as acquisition points, wherein the distance between any two adjacent acquisition points is greater than a first threshold value.
6. An image acquisition device for congested road sections, comprising:
the congestion road section determining module is used for determining a first congestion road section meeting preset conditions at present according to the road condition information;
the acquisition region determining module is used for determining an image acquisition region based on the first congested road section;
and the acquisition module is used for acquiring the vehicle-mounted image of each acquisition point of the vehicle in the image acquisition area.
7. The image capturing device according to claim 6, wherein the congested road segment determining module is specifically configured to:
determining at least one second congestion road section according to real-time road condition information, wherein each second congestion road section comprises one road unit or is formed by aggregating a plurality of adjacent road units based on the connection relation among the road units;
and determining the first congested road section meeting preset conditions in the second congested road sections on the basis of historical road condition information.
8. The image acquisition apparatus according to claim 6, wherein the acquisition region determining module is specifically configured to:
determining a congestion starting unit in the first congestion section according to the connection relation between the road units in the first congestion section;
determining at least one upstream road unit and/or at least one downstream road unit within a preset distance range from the congestion starting unit;
and determining the congestion starting unit and at least one upstream road unit and/or at least one downstream road unit of the congestion starting unit as the image acquisition area.
9. The image acquisition device according to claim 6, wherein the acquisition module is specifically configured to:
acquiring a set of vehicles passing through the image acquisition area within a preset time period;
determining at least one acquisition point of each vehicle within the image acquisition area;
and controlling each vehicle to upload a vehicle-mounted image corresponding to image acquisition time, wherein the image acquisition time is the time of all acquisition points corresponding to the vehicle.
10. The image acquisition device according to claim 9, wherein the acquisition module is specifically configured to:
respectively determining a set of driving track points of each vehicle in the image acquisition area;
sequentially obtaining the distance between any first track point and a second track point, wherein the second track point is a downstream track point adjacent to the first track point;
deleting the second track point under the condition that the distance between the first track point and the second track point is smaller than or equal to a first threshold value;
and determining the rest track points in the set of the driving track points as acquisition points, wherein the distance between any two adjacent acquisition points is greater than a first threshold value.
11. A storage medium storing a computer program, characterized in that the computer program realizes the steps of the method of any one of claims 1 to 5 when executed by a processor.
12. An electronic device comprising at least a memory, a processor, the memory having a computer program stored thereon, characterized in that the processor realizes the steps of the method of any of claims 1 to 5 when executing the computer program on the memory.
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| CN114882697A (en) * | 2022-03-29 | 2022-08-09 | 四川智慧高速科技有限公司 | Method for planning vehicle path on expressway |
| CN115240406A (en) * | 2022-05-31 | 2022-10-25 | 厦门路桥信息股份有限公司 | Road congestion management method and device, computer readable medium and electronic equipment |
| CN115240406B (en) * | 2022-05-31 | 2023-12-29 | 厦门路桥信息股份有限公司 | Road congestion management method and device, computer readable medium and electronic equipment |
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