CN109993969A - A kind of road conditions determine information acquisition method, device and equipment - Google Patents

A kind of road conditions determine information acquisition method, device and equipment Download PDF

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Publication number
CN109993969A
CN109993969A CN201910176262.6A CN201910176262A CN109993969A CN 109993969 A CN109993969 A CN 109993969A CN 201910176262 A CN201910176262 A CN 201910176262A CN 109993969 A CN109993969 A CN 109993969A
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information
section
doubtful
real
image
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CN109993969B (en
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孙立光
谢建家
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Tencent Technology Shenzhen Co Ltd
Tencent Dadi Tongtu Beijing Technology Co Ltd
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Tencent Technology Shenzhen Co Ltd
Tencent Dadi Tongtu Beijing Technology Co Ltd
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    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06VIMAGE OR VIDEO RECOGNITION OR UNDERSTANDING
    • G06V20/00Scenes; Scene-specific elements
    • G06V20/50Context or environment of the image
    • G06V20/56Context or environment of the image exterior to a vehicle by using sensors mounted on the vehicle
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0108Measuring and analyzing of parameters relative to traffic conditions based on the source of data
    • G08G1/0112Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
    • GPHYSICS
    • G08SIGNALLING
    • G08GTRAFFIC CONTROL SYSTEMS
    • G08G1/00Traffic control systems for road vehicles
    • G08G1/01Detecting movement of traffic to be counted or controlled
    • G08G1/0104Measuring and analyzing of parameters relative to traffic conditions
    • G08G1/0125Traffic data processing

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  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Chemical & Material Sciences (AREA)
  • Analytical Chemistry (AREA)
  • Engineering & Computer Science (AREA)
  • Multimedia (AREA)
  • Theoretical Computer Science (AREA)
  • Traffic Control Systems (AREA)

Abstract

The invention discloses a kind of road conditions to determine information acquisition method, device and equipment, which comprises obtains real-time track information of the vehicle in running section;The doubtful congested link in the running section is determined according to the real-time track information;Target image is obtained, the target image is the collected Chinese herbaceous peony image at the doubtful congested link;The section key message of the doubtful congested link is obtained according to the target image;The section key message includes traffic density information and section identification information;The corresponding real-time track information of the doubtful congested link and the section key message are sent, determines information to obtain road conditions.The present invention can effectively identify abnormal driving behavior, rationally carry out road conditions judgement, effectively avoid the generation of erroneous judgement.

Description

A kind of road conditions determine information acquisition method, device and equipment
Technical field
The present invention relates to information of vehicles processing technology fields more particularly to a kind of road conditions to determine information acquisition method, device And equipment.
Background technique
The technology determined currently used for real-time road includes the real-time road processing technique based on floating wheel paths, Yi Jiji In the fixed point road conditions discrimination technology of monitor video.
Wherein, based on the real-time road production technology of floating wheel paths, specifically completely with real-time track data be it is defeated Enter, by calculating bicycle speed sample and Duo Che average speed, and then determines road condition;But the technology belongs in vehicle When abnormal driving behavior, it is easy to judge by accident.
Wherein, the fixed point road conditions discrimination technology based on monitor video, usually traffic management department at important crossing or The top in section sets up camera device, then is known by terminal device or background server to the vehicle in acquired image Do not obtain density information, in conjunction with road information provide road whether the judgement of congestion.But the authority of office as needed for deployment facility, The limitation of cost etc., the traffic information that can typically be only used to the fixation section of relatively small amount obtain, and can not support a wide range of Traffic information service.
Accordingly, it is desirable to provide one kind can be carried out efficiently traffic information judgement, and it is not limited to support the technology of range Scheme.
Summary of the invention
In order to solve the problems in the prior art, the present invention provides a kind of road conditions determine information acquisition method, device and Equipment, specifically:
On the one hand a kind of road conditions judgement information acquisition method is provided, which comprises
Obtain real-time track information of the vehicle in running section;
The doubtful congested link in the running section is determined according to the real-time track information;
Target image is obtained, the target image is the collected Chinese herbaceous peony image at the doubtful congested link;
The section key message of the doubtful congested link is obtained according to the target image;The section key message packet Include traffic density information and section identification information;
The corresponding real-time track information of the doubtful congested link and the section key message are sent, to obtain road conditions Determine information
On the other hand a kind of road conditions judgement information acquisition method is provided, which comprises
Obtain real-time track information of the vehicle in running section;
The real-time track information is sent, it is doubtful in the running section to be determined according to the real-time track information Congested link, and obtain target image;The target image is the collected Chinese herbaceous peony image at the doubtful congested link;
The corresponding real-time track information of the doubtful congested link and the target image are sent, according to described doubtful The corresponding real-time track information of congested link and section key message obtain road conditions and determine information;The section key message according to The Chinese herbaceous peony image obtains;The section key message includes traffic density information and section identification information.
On the other hand a kind of road conditions judgement information acquisition device is provided, described device includes:
Real time information obtains module, for obtaining real-time track information of the vehicle in running section;
Doubtful congested link determining module, for determining doubting in the running section according to the real-time track information Like congested link;
Target image obtains module, and for obtaining target image, the target image is at the doubtful congested link Collected Chinese herbaceous peony image;
Section key message obtains module, and the section for obtaining the doubtful congested link according to the target image is closed Key information;The section key message includes traffic density information and section identification information;
First information sending module, for sending the corresponding real-time track information of the doubtful congested link and the road Section key message determines information to obtain road conditions
On the other hand a kind of road conditions judgement information acquisition device is provided, described device includes:
Trace information obtains module, for obtaining real-time track information of the vehicle in running section;
Trace information sending module, for sending the real-time track information, to be determined according to the real-time track information Doubtful congested link in the running section out, and obtain target image;The target image is on the doubtful congestion road Collected Chinese herbaceous peony image at section;
Second information sending module, for sending the corresponding real-time track information of the doubtful congested link and the mesh Logo image determines letter to obtain road conditions according to the corresponding real-time track information of the doubtful congested link and section key message Breath;The section key message is obtained according to the Chinese herbaceous peony image;The section key message includes traffic density information and road Segment identification information
On the other hand one kind is provided, the equipment includes processor and memory, is stored at least in the memory One instruction, at least a Duan Chengxu, code set or instruction set, at least one instruction, an at least Duan Chengxu, the generation Code collection or instruction set are loaded as the processor and are executed to realize that the road conditions as described in above-mentioned one side determine acquisition of information side Method, or load and execute to realize that the road conditions as described in above-mentioned another aspect determine information acquisition method.
A kind of road conditions provided by the invention determine information acquisition method, device and equipment, have the beneficial effect that
The present invention is by obtaining real-time track information of the vehicle in running section;Further believed according to the real-time track Breath determines the doubtful congested link in the running section;Target image is obtained, the target image is doubtful to gather around described Collected Chinese herbaceous peony image at stifled section;And believed according to the section key that the target image obtains the doubtful congested link Breath;The corresponding real-time track information of the doubtful congested link and the section key message are sent, to obtain road conditions judgement Information.The present invention can effectively obtain true traffic density information and section on road by the identification to target image and mark Know information, further utilizes real-time track information and the section key message comprehensive judgement road condition, and then effectively know Not Chu abnormal driving behavior, rationally carry out road conditions judgement, effectively avoid erroneous judgement generation.
Detailed description of the invention
It, below will be to reality in order to illustrate more clearly of this specification embodiment or technical solution in the prior art and advantage It applies example or attached drawing needed to be used in the description of the prior art is briefly described, it should be apparent that, the accompanying drawings in the following description Only some embodiments of the present invention, for those of ordinary skill in the art, in the premise not made the creative labor Under, it can also be obtained according to these attached drawings other attached drawings.
Fig. 1 is a kind of scene figure that this specification embodiment provides;
Fig. 2 is that a kind of road conditions that this specification embodiment provides determine information acquisition method flow chart;
Fig. 3 is the step process for determining the target trajectory segment in the running section that this specification embodiment provides Figure;
Fig. 4 is the stream of step after the target trajectory segment in the determination running section that this specification embodiment provides Cheng Tu;
Fig. 5 is a kind of execution flow chart for acquisition target image that this specification embodiment provides;
Fig. 6 is the information exchange figure synchronized under on-demand screenshot mode that this specification embodiment provides;
Fig. 7 is that another road conditions that this specification embodiment provides determine information acquisition method flow chart;
Fig. 8 is the information exchange figure under the asynchronous on-demand screenshot mode that this specification embodiment provides;
Fig. 9 is that a kind of road conditions that this specification embodiment provides determine information acquisition device composition block diagram;
Figure 10 is that another road conditions that this specification embodiment provides determine information acquisition device composition block diagram;
Figure 11 is a kind of structural schematic diagram for server apparatus that this specification embodiment provides.
Specific embodiment
Below in conjunction with the attached drawing in this specification embodiment, the technical solution in this specification embodiment is carried out clear Chu is fully described by, it is clear that described embodiments are only a part of the embodiments of the present invention, instead of all the embodiments. Based on the embodiments of the present invention, those of ordinary skill in the art institute obtained without making creative work There are other embodiments, shall fall within the protection scope of the present invention.
It should be noted that description and claims of this specification and term " first " in above-mentioned attached drawing, " Two " etc. be to be used to distinguish similar objects, without being used to describe a particular order or precedence order.It should be understood that using in this way Data be interchangeable under appropriate circumstances, so as to the embodiment of the present invention described herein can in addition to illustrating herein or Sequence other than those of description is implemented.In addition, term " includes " and " having " and their any deformation, it is intended that cover Cover it is non-exclusive include, for example, containing the process, method of a series of steps or units, system, product or server need not limit In step or unit those of is clearly listed, but may include be not clearly listed or for these process, methods, produce The other step or units of product or equipment inherently.
In the technical solution that current traffic information determines, it is easy to miss when vehicle belongs to abnormal driving behavior Sentence;And because the drive test facility for excessively relying on installation is monitored road, cause not supporting large-scale traffic information Service has certain limitation.
Thus, this description presents a kind of road conditions that efficiently carry out to determine that acquisition road conditions determine the technical solution of information, energy Enough application scenarios towards progress traffic information service on a large scale;Also, the technical solution can independently be implemented, can also be with The road conditions production technology of existing Floating Car combines, to improve the quality of real-time road condition information;The technical solution can be applied Occur effectively avoid abnormal driving row on frequent special road section in the section of wagon flow rareness or abnormal traveling behavior It is judged by accident for state caused by track data.
Wherein, the abnormal driving behavior: refer to vehicle because violating traffic control measure, or do not have for other purposes There is the behavior travelled with normal wagon flow.Such as: in Emergency Vehicle Lane traveling, traveling of making a dash across the red light, has and be intended to travel at a slow speed, have and be intended to road The lamps such as side stop.Under these behavior states, the speed of vehicle cannot reflect true congestion in road state;For example it is sent out in road When raw true congestion, high speed is presented because Emergency Vehicle Lane is walked for vehicle;In the coast is clear, vehicle is in because of intentional curb parking Existing low speed.
Accordingly, normal driving behavior: refer to that vehicle under the premise of observing traffic rules and regulations, promptly goes to purpose as far as possible The behavior on ground.Under this behavior state, Vehicle Speed is only by road equipment quality, road speed limit, signal lamp etc. Traffic control measure, type of vehicle, wagon flow the factors such as the degree of crowding influence, travel speed can reflect that well road is true Congestion status.
The corresponding scene of technology for information acquisition scheme is determined as shown in Figure 1 for a kind of road conditions that this specification embodiment provides Figure;Wherein, two different implementation moulds can be selected according to the capacity variance for the equipment installed in actual vehicle in this specification Formula:
Mode one: on-demand screenshot mode is synchronized in terminal device real-time perfoming image recognition;
Mode two: in the asynchronous on-demand screenshot mode of server end real-time perfoming image recognition.
Specifically, this specification embodiment provides a kind of road conditions and determines information acquisition method, this method belong to it is synchronous by The technical solution under screenshot mode is needed, as shown in Figure 2, which comprises
S202. real-time track information of the vehicle in running section is obtained;
In the present embodiment, the terminal device on vehicle gets vehicle in the real-time track information of running section;Wherein, institute Stating real-time track information includes vehicle location relevant information, car speed relevant information;In detail, the vehicle location correlation letter Breath includes longitude coordinate, latitude coordinates, azimuth and the positioning accuracy etc. of vehicle;The car speed relevant information includes vehicle Instantaneous velocity etc..
Wherein it is possible to set an execution period, is pinched in the execution period and obtain real-time track information, and its road conditions is believed Breath is determined;For example, can choose setting are as follows: 10 seconds, 30 seconds or 1 minute etc.;It is not preferably greater than 1 minute usually.Further Ground can also be merged by the judgement result to the traffic information in multiple execution periods, to obtain desired target Road conditions in period determine result.
S204. the doubtful congested link in the running section is determined according to the real-time track information;
S206. target image is obtained, the target image is the collected Chinese herbaceous peony image at the doubtful congested link;
In a kind of specific embodiment, step S204 determines the doubtful congested link in the running section, can be with Include:
S2A. the real-time track information is handled, to determine the target trajectory segment in the running section;
S2B. the doubtful congested link is obtained by the target trajectory segment;
Specifically, the terminal device carries out information processing to the real-time track information, from the running section It determines target trajectory segment, the doubtful congested link is further obtained by the target trajectory segment.
Wherein, step S2A determines the target trajectory segment in the running section, as shown in figure 3, may include:
S402. each tracing point in the running section is traversed;
S404. the corresponding travel speed of the tracing point is obtained according to the real-time track information of each tracing point;
S406. the target trajectory segment is obtained by multiple continuous tracing points that travel speed is less than pre-set velocity.
Specifically, each tracing point has corresponding real-time track information, is believed according to the real-time track of each tracing point Breath can obtain the travel speed of vehicle at the tracing point, and vehicle can be regarded as in the instantaneous velocity of the tracing point;Into The instantaneous velocity is compared by one step with pre-set velocity, in the instantaneous velocity with multiple continuous tracing points lower than described In the case where pre-set velocity, an available target trajectory segment being made of multiple continuous tracing point.
For example, each GPS point of traversal running section, if the instantaneous velocity of GPS point is lower than pre-set velocity Vjam, then Think that the GPS is in congestion status, the continuous GPS point in congestion status forms a congestion time interval, the congestion time The corresponding track in section is target trajectory segment.
It should be noted that the present embodiment can also choose vehicle driving preset distance (such as: 200~500 meters, can also Set using the length with reference to conventional section) as determine object, further the time according to used in default distance, calculate The average speed of each default distance;Threshold speed is set, obtained each average speed is compared with the threshold speed Compared with using the judgment basis as congestion status;Such as threshold speed is 20km/h, in obtained average speed lower than 20km/h's In the case of, the default distance is congestion status.
In a kind of specific embodiment, step S2A determines the target trajectory segment in the running section, such as Fig. 4 institute Show, may include: later
S4A. judge the number of the target trajectory segment;
S4B. the corresponding duration of the target trajectory segment is obtained;
S4C. when the number of the target trajectory segment is greater than preset number, preset number target trajectory piece is chosen Section;Wherein, the duration for the target trajectory segment being selected is greater than the duration of any unselected target trajectory segment.
Wherein, the number of the target trajectory segment may be one or more;In the number of the target trajectory segment When being multiple and N number of greater than preset number, multiple target trajectory segments are ranked up according to duration, only retains or only chooses The N number of segment of preset number, the target trajectory segment N number of to this preset number of selection carry out the acquisition of Chinese herbaceous peony image;? When the number of the target trajectory segment is less than preset number N, the corresponding interception image of the target trajectory segment is directly acquired.
In a kind of feasible embodiment, step S2B determines the doubtful congested link in the running section, wraps later It includes:
S2C. image interception request is obtained;
Specifically, after determining the doubtful congested link, the terminal device generates and gets image interception and asks It asks.
Wherein, step S206 obtains target image, comprising:
S602. the corresponding interception image of the target trajectory segment is obtained according to described image intercept requests;
S604. the target image is obtained by the corresponding interception image of the target trajectory segment.
Specifically, the target image is obtained by interception image that described image intercept requests are got.
In detail, step S602 obtains the corresponding interception image of the target trajectory segment, may include:
S6A. at the beginning of determining the target trajectory segment;
S6B. the image of the target trajectory segment start time is obtained, to obtain corresponding section of the target trajectory segment Take image.
Specifically, it is the screenshot demand moment at the beginning of the target trajectory segment being selected, is adopted for requesting from image The correspondence moment for collecting the acquisition video information of equipment carries out the interception of image;It is obtained by the set of the N number of interception image of preset number The target image.For example, when only retaining the longest 3 target trajectory segments of duration, at the beginning of this 3 target trajectory segments It carves and is used as the screenshot demand moment, be further able to access the image collection of 3 interception images composition, i.e., the described target image;Such as A kind of execution flow chart for obtaining target image is given shown in Fig. 5.
It should be noted that the equipment for carrying out Chinese herbaceous peony Image Acquisition in running section can be by the row on vehicle The image capture devices such as vehicle recorder;It is also possible to that there are other intelligent vehicle-carried equipment of camera function to pass through necessary terminal After exploitation, there is the equipment taken pictures in real time with the ability for delaying screenshot in local video,
S208. the section key message of the doubtful congested link is obtained according to the target image;The section is crucial Information includes traffic density information and section identification information;
In the present embodiment, target image is identified using the image recognition technology based on deep neural network, is obtained Section key message.In order to reduce the complexity and the complexity that is used of recognition result of identification problem, with " vehicle is more ", " one As ", " vehicle is few " three discrete levels traffic density information is described.Wherein, traffic density information is only considered in many cases, and It cannot obtain effective road conditions and determine result;Thus consider that section identification information carries out the judgement of road conditions in the present embodiment simultaneously; The section identification information can be the special lane markings information on road, for example, " whether on bus zone ", " whether On Emergency Vehicle Lane " etc. identification informations;These information have the influence for excluding other certain form of abnormal driving behaviors important Decision value.
Wherein, in the case where the target image includes multiple interception images, by the figure based on deep neural network As identification process identifies the vehicle in each interception image, the quantity of vehicle in image is obtained, and further intercepts every Image is converted into " vehicle is more ", " general ", " vehicle is few " three one of them discrete tags information.Meanwhile based on image recognition Process obtains the section identification information in the interception image.
S210. the corresponding real-time track information of the doubtful congested link and the section key message are sent, with Information is determined to road conditions.
Wherein, the section key message is sent in the present embodiment, is specifically sent in the target image to server The traffic density information and section identification information of all interception images;The road conditions that obtain in the present embodiment determine information, tool Body is the traffic density information and section identification information of interception image described in server by utilizing, there are also with the interception image phase Corresponding real-time track information, carries out the comprehensive judgement of traffic information, and the road conditions for obtaining the running section determine information.
Specifically, if the vehicle is non-bus, and the section of the interception image of one of them obtained identifies Information is special lane markings information, for example whether current vehicle is located at bus zone or Emergency Vehicle Lane;If so, can recognize It is abnormal driving behavior for vehicle at this time, gives up the information of the interception image object.If the vehicle is non-bus, obtain The section identification information arrived is normal car lane, and if the velocity information in corresponding real-time track information is lower than at this time The threshold speed of setting, corresponding traffic density information are " vehicle is more ", then the road of the available running section in this case Condition determines that result is " congestion ";This implementation is carried out by merging the information of the interception image under all normal driving behaviors Effective judgement of traffic information.
Wherein, road conditions judgement can also be carried out by machine learning model in the present embodiment, obtains road conditions and determines result;Tool Body is that the corresponding traffic density information of interception image, section identification information and real-time track information are converted to input vector, It inputs in neural network model (such as convolutional neural networks MODEL C NN), to obtain the knot that the road conditions of the running section determine Fruit.
It is illustrated in figure 6 the information exchange figure synchronized under on-demand screenshot mode.Pass through comprehensive real-time track letter in this implementation Breath and the section key message carry out the judgement of traffic information together, can more broadly exclude abnormal driving behavior Influence, to improve the quality of the comprehensive descision result of road conditions.
This specification embodiment provides a kind of road conditions judgement information acquisition method, and this method belongs to asynchronous on-demand screenshot mould Technical solution under formula, as shown in Figure 7, which comprises
S802. real-time track information of the vehicle in running section is obtained;
Specifically, the terminal device on vehicle gets vehicle in the real-time track information of running section;Wherein, the reality When trace information include vehicle location relevant information, car speed relevant information;In detail, the vehicle location relevant information packet Include longitude coordinate, latitude coordinates, azimuth and the positioning accuracy information etc. of vehicle;The car speed relevant information includes vehicle Instantaneous velocity etc..
S804. the real-time track information is sent, to determine in the running section according to the real-time track information Doubtful congested link, and obtain target image;The target image is the collected Chinese herbaceous peony at the doubtful congested link Image;
In a kind of feasible embodiment, step S804 sends the real-time track information, according to the real-time track Information determines the doubtful congested link in the running section, may include:
S8A. the real-time track information is sent, to determine the mesh in the running section according to the real-time track information Mark path segment;
S8B. the doubtful congested link is obtained by the target trajectory segment;
Specifically, the real-time track information is sent to server by the terminal device, by the server to described Real-time track information is handled to determine the doubtful congested link.
Further, the server generates the corresponding screenshot request of the doubtful congested link, and the screenshot is asked It asks and is sent to the terminal device;The terminal device is adopted after receiving the screenshot request from described image acquisition equipment The correspondence moment of the image information of collection obtains corresponding interception image, to obtain the corresponding Chinese herbaceous peony figure of the doubtful congested link Picture, and the Chinese herbaceous peony image is sent to server.Specifically the figure at the beginning of obtaining each target trajectory segment Picture, and then obtain the target image.
Wherein, step S8A determines the target trajectory segment in the running section, comprising:
S1002. each tracing point in the running section is traversed;
S1004. the corresponding travel speed of the tracing point is obtained according to the real-time track information of each tracing point;
S1006. the road attribute information of the running section is obtained;
S1008. believed according to the road attribute of the travel speed of tracing point and the running section in the running section Breath, determines the target trajectory segment.
Specifically, the present embodiment can first pass through server and carry out path adaptation to place track, travelled based on vehicle Accurate location on section, identifies road attribute information;Wherein, the road attribute information of the running section is the traveling Section corresponds to the intrinsic information of road, including road type and number of track-lines, and the number of track-lines includes equidirectional number of track-lines; Such as road is high-grade highway and equidirectional has 2 lanes;Or high-grade highway and equidirectional there are 3 lanes etc. Deng.
Wherein, server determines target trajectory segment according to the travel speed of the road attribute information and tracing point, It is in detail the restriction speed obtained under the road attribute information, using the restriction speed under the road attribute information as speed Threshold value is compared with the travel speed of the tracing point, to determine target trajectory segment.
For example, when high-grade highway has 2 lane in the same direction, 100 kilometers/hour of the minimum speed limit of left-hand lane;If in the lane On when driving, the travel speed of the tracing point is lower than 100 kilometers/hour, and further obtains multiple continuous tracing points, then It is considered that multiple continuous tracing points constitute target trajectory segment.
It should be noted that the threshold value of preset parameter or certain parameters in this specification is not limited to specific number Value, can be set according to demand.
The present embodiment can be accurately to the congestion of tracing point in conjunction with corresponding threshold speed according to road attribute information Situation judges;The doubtful congested link is determined to high-reliability in turn, to guarantee that traffic information determines effective Property.
S806. the corresponding real-time track information of the doubtful congested link and the target image are sent, according to institute It states the corresponding real-time track information of doubtful congested link and section key message obtains road conditions and determines information;The section key letter Breath is obtained according to the Chinese herbaceous peony image;The section key message includes traffic density information and section identification information.
Specifically, the target image is sent to server by the terminal device, carries out target image by server Identifying processing, to obtain the section key message of the doubtful congested link;Further server is according to the doubtful congestion road The corresponding real-time track information of section and section key message obtain road conditions and determine information.
The information exchange figure being illustrated in figure 8 under asynchronous on-demand screenshot mode.The road conditions that this specification provides determine information Acquiring technology scheme generates screenshot demand in the case where detection obtains doubtful congested link, carries out the vehicle of doubtful congested link The acquisition of preceding image, alleviates the burden of all images information processing, and then improves the efficiency of traffic information judgement.
It should be noted that the embodiment in this specification can independently be implemented, Floating Car can also be based on existing Road conditions acquiring technology combine to implement;It is not also especially very big in the available equipment scale with ability of taking pictures In the case of, more reasonable way is: with a large amount of real-time road data of technology output based on Floating Car, then utilizing this explanation Book embodiment obtains the subset of the road condition data of a high-reliability, the road condition data of the two is merged final to obtain Road conditions determine information.
Also, traffic signal information (such as signal lamp, traffic sign) can also be obtained in the present embodiment, is carried out together comprehensive It closes and determines;Or instant Weather information can also be obtained in the present embodiment to obtain accurate threshold speed (such as dense fog, heavy rain Speed limit under weather is 60km/h, then 60km/h can be updated to preset threshold speed).
It further illustrates, the road conditions that this specification obtains determine information quality with higher, can further change The road conditions being apt in various services channels show function, stroke ETA (Estimated Time ofArrival E.T.A) The performance of the functions such as estimation and route planning.
This specification embodiment provides a kind of road conditions judgement information acquisition device, as shown in figure 9, described device includes:
Real time information obtains module 202, for obtaining real-time track information of the vehicle in running section;
Doubtful congested link determining module 204, for being determined in the running section according to the real-time track information Doubtful congested link;
Target image obtains module 206, and for obtaining target image, the target image is in the doubtful congested link Locate collected Chinese herbaceous peony image;
Section key message obtains module 208, for obtaining the road of the doubtful congested link according to the target image Section key message;The section key message includes traffic density information and section identification information;
First information sending module 210, for sending the corresponding real-time track information of the doubtful congested link and institute Section key message is stated, determines information to obtain road conditions.
In a kind of feasible embodiment, the doubtful congested link determining module, comprising:
Target trajectory segment determination unit, for handling the real-time track information, to determine the traveling Target trajectory segment in section;
Doubtful congested link determination unit, for obtaining the doubtful congested link by the target trajectory segment;
Wherein, the target trajectory segment determination unit, comprising:
First tracing point traverses subelement, for traversing each tracing point in the running section;
First track spot speed obtains subelement, for obtaining the track according to the real-time track information of each tracing point The corresponding travel speed of point;
First mark path segment obtains subelement, for being less than multiple continuous tracing points of pre-set velocity by travel speed Obtain the target trajectory segment.
In a kind of feasible embodiment, the doubtful congested link determining module, further includes:
Image interception request unit, for obtaining image interception request;
Wherein, the target image obtains module, comprising:
Interception image acquiring unit, for obtaining described corresponding section of target trajectory segment according to described image intercept requests Take image;
Target image obtains unit, for obtaining the target figure by the corresponding interception image of the target trajectory segment Picture.
In a kind of feasible embodiment, the doubtful congested link determining module, further includes:
Path segment judging unit, for judging the number of the target trajectory segment;
Path segment duration acquiring unit, for obtaining the corresponding duration of the target trajectory segment;
Path segment selection unit when being greater than preset number for the number in the target trajectory segment, is chosen default Number target trajectory segment;Wherein, the duration for the target trajectory segment being selected is greater than any unselected target trajectory The duration of segment.
In a kind of feasible embodiment, the interception image acquiring unit, comprising:
Start time determines subelement, at the beginning of determining the target trajectory segment;
Interception image obtains subelement, described to obtain for obtaining the image of the target trajectory segment start time The corresponding interception image of target trajectory segment.
It should be noted that described device embodiment has inventive concept identical with above method embodiment, it is specific interior Appearance please refers to corresponding embodiment of the method.
This specification additionally provides a kind of road conditions judgement information acquisition device, and as shown in Figure 10, described device includes:
Trace information obtains module 402, for obtaining real-time track information of the vehicle in running section;
Trace information sending module 404, for sending the real-time track information, with true according to the real-time track information The doubtful congested link in the running section is made, and obtains target image;The target image is in the doubtful congestion Collected Chinese herbaceous peony image at section;
Second information sending module 406, for sending the corresponding real-time track information of the doubtful congested link and institute Target image is stated, is determined with obtaining road conditions according to the corresponding real-time track information of the doubtful congested link and section key message Information;The section key message is obtained according to the Chinese herbaceous peony image;The section key message include traffic density information and Section identification information.
In a kind of feasible embodiment, the trace information sending module, comprising:
Trace information transmission unit, for sending the real-time track information, to be determined according to the real-time track information Target trajectory segment in the running section;
Doubtful congestion segment obtains unit, for obtaining the doubtful congested link by the target trajectory segment;
Wherein, the trace information transmission unit, comprising:
Second tracing point traverses subelement, for traversing each tracing point in the running section;
Second track spot speed obtains subelement, for obtaining the track according to the real-time track information of each tracing point The corresponding travel speed of point;
Road attribute information obtains subelement, for obtaining the road attribute information of the running section;
Second path segment determines subelement, for according to the travel speed of tracing point in the running section and described The road attribute information of running section determines the target trajectory segment.
It should be noted that described device embodiment has inventive concept identical with above method embodiment, it is specific interior Appearance please refers to corresponding embodiment of the method.
This specification embodiment provides a kind of equipment, and the equipment includes processor and memory, in the memory It is stored at least one instruction, at least a Duan Chengxu, code set or instruction set, described at least one instructs, is at least one section described Program, the code set or instruction set are loaded as the processor and are executed to realize the road conditions as described in above method embodiment Determine information acquisition method.
Specifically, a kind of structural schematic diagram for server apparatus that this specification embodiment provides, please refers to Figure 11.The clothes The road conditions that business device is used to implement to provide in above-described embodiment determine information acquisition method.Specifically:
The server 2000 includes 2002 He of central processing unit (CPU) 2001 including random access memory (RAM) The system storage 2004 of read-only memory (ROM) 2003, and connection system storage 2004 and central processing unit 2001 System bus 2005.The server 2000 further includes that the substantially defeated of information is transmitted between each device helped in computer Enter/output system (I/O system) 2006, and is used for storage program area 2013, application program 2014 and other program modules 2015 mass-memory unit 2007.
The basic input/output 2006 includes display 2008 for showing information and inputs for user The input equipment 2009 of such as mouse, keyboard etc of information.Wherein the display 2008 and input equipment 2009 all pass through The input and output controller 2010 for being connected to system bus 2005 is connected to central processing unit 2001.The basic input/defeated System 2006 can also include input and output controller 2010 to touch for receiving and handling from keyboard, mouse or electronics out Control the input of multiple other equipment such as pen.Similarly, input and output controller 2010 also provide output to display screen, printer or Other kinds of output equipment.
The mass-memory unit 2007 (is not shown by being connected to the bulk memory controller of system bus 2005 It is connected to central processing unit 2001 out).The mass-memory unit 2007 and its associated computer-readable medium are Server 2000 provides non-volatile memories.That is, the mass-memory unit 2007 may include such as hard disk or The computer-readable medium (not shown) of person's CD-ROM drive etc.
Without loss of generality, the computer-readable medium may include computer storage media and communication media.Computer Storage medium includes information such as computer readable instructions, data structure, program module or other data for storage The volatile and non-volatile of any method or technique realization, removable and irremovable medium.Computer storage medium includes RAM, ROM, EPROM, EEPROM, flash memory or other solid-state storages its technologies, CD-ROM, DVD or other optical storages, tape Box, tape, disk storage or other magnetic storage devices.Certainly, skilled person will appreciate that the computer storage medium It is not limited to above-mentioned several.Above-mentioned system storage 2004 and mass-memory unit 2007 may be collectively referred to as memory.
According to various embodiments of the present invention, the server 2000 can also be arrived by network connections such as internets Remote computer operation on network.Namely server 2000 can be connect by the network being connected on the system bus 2005 Mouth unit 2011 is connected to network 2012, in other words, it is other kinds of to be connected to that Network Interface Unit 2011 also can be used Network or remote computer system (not shown).
The memory further includes that one or more than one program, the one or more programs are stored in In memory, and it is configured to be executed by one or more than one processor;Said one or more than one program include For executing the instruction of the method for above-mentioned background server side.
The embodiments of the present invention also provide a kind of computer storage medium, the storage medium may be disposed at client it In with save for realizing road conditions a kind of in embodiment of the method determine information acquisition method it is relevant at least one instruction, at least one Duan Chengxu, code set or instruction set, at least one instruction, an at least Duan Chengxu, the code set or the instruction set are by the processing Device is loaded and is executed to realize that the road conditions that above method embodiment provides determine information acquisition method.
Optionally, in the present embodiment, above-mentioned storage medium can be located in multiple network equipments of computer network At least one network equipment.Optionally, in the present embodiment, above-mentioned storage medium can include but is not limited to: USB flash disk read-only is deposited Reservoir (ROM, Read-Only Memory), random access memory (RAM, RandomAccess Memory), mobile hard disk, The various media that can store program code such as magnetic or disk.
It should be understood that above-mentioned this specification embodiment sequencing is for illustration only, the excellent of embodiment is not represented It is bad.And above-mentioned this specification specific embodiment is described.Other embodiments are within the scope of the appended claims.? The movement loaded in detail in the claims under some cases or step can execute simultaneously according to the sequence being different from embodiment And desired result still may be implemented.In addition, process depicted in the drawing not necessarily require the particular order shown or Consecutive order is just able to achieve desired result.In some embodiments, multitasking and parallel processing it is also possible or Person may be advantageous.
All the embodiments in this specification are described in a progressive manner, same and similar portion between each embodiment Dividing may refer to each other, and each embodiment focuses on the differences from other embodiments.Especially for device and For server example, since it is substantially similar to the method embodiment, so being described relatively simple, related place is referring to side The part of method embodiment illustrates.
Those of ordinary skill in the art will appreciate that realizing that all or part of the steps of above-described embodiment can pass through hardware It completes, relevant hardware can also be instructed to complete by program, the program can store in a kind of computer-readable In storage medium, storage medium mentioned above can be read-only memory, disk or CD etc..
The foregoing is merely presently preferred embodiments of the present invention, is not intended to limit the invention, it is all in spirit of the invention and Within principle, any modification, equivalent replacement, improvement and so on be should all be included in the protection scope of the present invention.

Claims (10)

1. a kind of road conditions determine information acquisition method, which is characterized in that the described method includes:
Obtain real-time track information of the vehicle in running section;
The doubtful congested link in the running section is determined according to the real-time track information;
Target image is obtained, the target image is the collected Chinese herbaceous peony image at the doubtful congested link;
The section key message of the doubtful congested link is obtained according to the target image;The section key message includes vehicle Density information and section identification information;
The corresponding real-time track information of the doubtful congested link and the section key message are sent, to obtain road conditions judgement Information.
2. road conditions according to claim 1 determine information acquisition method, which is characterized in that described to determine the traveling road Doubtful congested link in section, comprising:
The real-time track information is handled, to determine the target trajectory segment in the running section;
The doubtful congested link is obtained by the target trajectory segment;
Wherein, the target trajectory segment determined in the running section, comprising:
Traverse each tracing point in the running section;
The corresponding travel speed of the tracing point is obtained according to the real-time track information of each tracing point;
The target trajectory segment is obtained by multiple continuous tracing points that travel speed is less than pre-set velocity.
3. road conditions according to claim 2 determine information acquisition method, which is characterized in that described to determine the traveling road Section in doubtful congested link, include: later
Obtain image interception request;
Wherein, the acquisition target image, comprising:
The corresponding interception image of the target trajectory segment is obtained according to described image intercept requests;
The target image is obtained by the corresponding interception image of the target trajectory segment.
4. road conditions according to claim 2 determine information acquisition method, which is characterized in that the determination running section In target trajectory segment, include: later
Judge the number of the target trajectory segment;
Obtain the corresponding duration of the target trajectory segment;
When the number of the target trajectory segment is greater than preset number, preset number target trajectory segment is chosen;Wherein, quilt The duration of the target trajectory segment of selection is greater than the duration of any unselected target trajectory segment.
5. road conditions according to claim 3 determine information acquisition method, which is characterized in that described to obtain the target trajectory The corresponding interception image of segment, comprising:
At the beginning of determining the target trajectory segment;
The image of the target trajectory segment start time is obtained, to obtain the corresponding interception image of the target trajectory segment.
6. a kind of road conditions determine information acquisition method, which is characterized in that the described method includes:
Obtain real-time track information of the vehicle in running section;
The real-time track information is sent, to determine the doubtful congestion in the running section according to the real-time track information Section, and obtain target image;The target image is the collected Chinese herbaceous peony image at the doubtful congested link;
The corresponding real-time track information of the doubtful congested link and the target image are sent, according to the doubtful congestion The corresponding real-time track information in section and section key message obtain road conditions and determine information;The section key message is according to Chinese herbaceous peony image obtains;The section key message includes traffic density information and section identification information.
7. road conditions according to claim 6 determine information acquisition method, which is characterized in that send the real-time track letter Breath, to determine the doubtful congested link in the running section according to the real-time track information, comprising:
The real-time track information is sent, to determine the target trajectory piece in the running section according to the real-time track information Section;
The doubtful congested link is obtained by the target trajectory segment;
Wherein, the target trajectory segment in the determination running section, comprising:
Traverse each tracing point in the running section;
The corresponding travel speed of the tracing point is obtained according to the real-time track information of each tracing point;
Obtain the road attribute information of the running section;
According to the road attribute information of the travel speed of tracing point and the running section in the running section, institute is determined State target trajectory segment.
8. a kind of road conditions determine information acquisition device, which is characterized in that described device includes:
Real time information obtains module, for obtaining real-time track information of the vehicle in running section;
Doubtful congested link determining module doubtful is gathered around for determine in the running section according to the real-time track information Stifled section;
Target image obtains module, and for obtaining target image, the target image is to acquire at the doubtful congested link The Chinese herbaceous peony image arrived;
Section key message obtains module, and the section key for obtaining the doubtful congested link according to the target image is believed Breath;The section key message includes traffic density information and section identification information;
First information sending module is closed for sending the corresponding real-time track information of the doubtful congested link and the section Key information determines information to obtain road conditions.
9. a kind of road conditions determine information acquisition device, which is characterized in that described device includes:
Trace information obtains module, for obtaining real-time track information of the vehicle in running section;
Trace information sending module, for sending the real-time track information, to determine institute according to the real-time track information The doubtful congested link in running section is stated, and obtains target image;The target image is at the doubtful congested link Collected Chinese herbaceous peony image;
Second information sending module, for sending the corresponding real-time track information of the doubtful congested link and the target figure Picture determines information to obtain road conditions according to the corresponding real-time track information of the doubtful congested link and section key message;Institute Section key message is stated to be obtained according to the Chinese herbaceous peony image;The section key message includes traffic density information and section mark Information.
10. a kind of equipment, which is characterized in that the equipment includes processor and memory, is stored at least in the memory One instruction, at least a Duan Chengxu, code set or instruction set, at least one instruction, an at least Duan Chengxu, the generation Code collection or instruction set are loaded by the processor and are executed to realize that road conditions as claimed in claim 1 to 5 determine information Acquisition methods, or load and execute to realize that the road conditions as described in claim 6-7 is any determine information acquisition method.
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Cited By (19)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108417029A (en) * 2018-02-11 2018-08-17 东南大学 City road network travel time estimation method based on adaptive multitask deep learning
CN111523482A (en) * 2020-04-24 2020-08-11 深圳市商汤科技有限公司 Lane congestion detection method and apparatus, electronic device, and storage medium
CN111561945A (en) * 2020-05-26 2020-08-21 姜沛松 Navigation path generation method and device based on Internet of vehicles
CN111649752A (en) * 2020-05-29 2020-09-11 北京四维图新科技股份有限公司 Map data processing method, device and equipment for congested road section
CN111739291A (en) * 2020-06-05 2020-10-02 腾讯科技(深圳)有限公司 Interference identification method and device in road condition calculation
CN111815945A (en) * 2019-12-17 2020-10-23 北京嘀嘀无限科技发展有限公司 Image acquisition method and device for congested road section, storage medium and electronic equipment
CN111932891A (en) * 2020-08-20 2020-11-13 腾讯科技(深圳)有限公司 Road condition identification method and related device
CN112132315A (en) * 2020-08-18 2020-12-25 华为技术有限公司 Escape route prediction method and deployment and control platform of target object
CN112150666A (en) * 2020-08-28 2020-12-29 汉海信息技术(上海)有限公司 Method, device, electronic equipment and storage medium for determining road congestion reason
CN112435472A (en) * 2020-11-12 2021-03-02 北京嘀嘀无限科技发展有限公司 Congestion analysis method, device, equipment and storage medium
WO2021088461A1 (en) * 2019-11-04 2021-05-14 北京京东乾石科技有限公司 Vehicle scheduling method, apparatus and system
CN112857381A (en) * 2019-11-28 2021-05-28 北京搜狗科技发展有限公司 Path recommendation method and device and readable medium
CN112885087A (en) * 2021-01-22 2021-06-01 北京嘀嘀无限科技发展有限公司 Method, apparatus, device and medium for determining road condition information and program product
CN112926425A (en) * 2021-02-10 2021-06-08 北京嘀嘀无限科技发展有限公司 Road state detection method, device and equipment
CN113066285A (en) * 2021-03-15 2021-07-02 北京百度网讯科技有限公司 Road condition information determining method and device, electronic equipment and storage medium
CN113221602A (en) * 2020-01-21 2021-08-06 百度在线网络技术(北京)有限公司 Method, device, equipment and medium for determining road surface condition
CN113283272A (en) * 2020-02-20 2021-08-20 百度在线网络技术(北京)有限公司 Real-time image information prompting method and device for road congestion and electronic equipment
CN113343905A (en) * 2021-06-28 2021-09-03 山东理工大学 Method and system for training road abnormity intelligent recognition model and recognizing road abnormity
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Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102768801A (en) * 2012-07-12 2012-11-07 复旦大学 Method for detecting motor vehicle green light follow-up traffic violation based on video
CN105654417A (en) * 2016-01-13 2016-06-08 北京中交兴路信息科技有限公司 Lorry parking point information obtaining method and system
CN106023593A (en) * 2016-07-26 2016-10-12 深圳市喜悦智慧数据有限公司 Traffic congestion detection method and device
CN106056910A (en) * 2016-07-13 2016-10-26 乐视控股(北京)有限公司 Method and device for traffic state detection
CN205943076U (en) * 2016-05-27 2017-02-08 武汉万集信息技术有限公司 Detection car -mounted device blocks up
CN107038861A (en) * 2017-04-07 2017-08-11 北京易华录信息技术股份有限公司 A kind of traffic congestion detecting system, method and device based on vehicle electron identifying
CN107204113A (en) * 2016-03-17 2017-09-26 高德软件有限公司 Determine the methods, devices and systems of congestion in road state
US20190051155A1 (en) * 2017-08-10 2019-02-14 Toyota Jidosha Kabushiki Kaisha Information notification apparatus, information notification system, information notification method, and information notification program
CN109360416A (en) * 2018-10-11 2019-02-19 平安科技(深圳)有限公司 Road traffic prediction technique and server

Patent Citations (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102768801A (en) * 2012-07-12 2012-11-07 复旦大学 Method for detecting motor vehicle green light follow-up traffic violation based on video
CN105654417A (en) * 2016-01-13 2016-06-08 北京中交兴路信息科技有限公司 Lorry parking point information obtaining method and system
CN107204113A (en) * 2016-03-17 2017-09-26 高德软件有限公司 Determine the methods, devices and systems of congestion in road state
CN205943076U (en) * 2016-05-27 2017-02-08 武汉万集信息技术有限公司 Detection car -mounted device blocks up
CN106056910A (en) * 2016-07-13 2016-10-26 乐视控股(北京)有限公司 Method and device for traffic state detection
CN106023593A (en) * 2016-07-26 2016-10-12 深圳市喜悦智慧数据有限公司 Traffic congestion detection method and device
CN107038861A (en) * 2017-04-07 2017-08-11 北京易华录信息技术股份有限公司 A kind of traffic congestion detecting system, method and device based on vehicle electron identifying
US20190051155A1 (en) * 2017-08-10 2019-02-14 Toyota Jidosha Kabushiki Kaisha Information notification apparatus, information notification system, information notification method, and information notification program
CN109360416A (en) * 2018-10-11 2019-02-19 平安科技(深圳)有限公司 Road traffic prediction technique and server

Cited By (24)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN108417029A (en) * 2018-02-11 2018-08-17 东南大学 City road network travel time estimation method based on adaptive multitask deep learning
WO2021088461A1 (en) * 2019-11-04 2021-05-14 北京京东乾石科技有限公司 Vehicle scheduling method, apparatus and system
CN112857381A (en) * 2019-11-28 2021-05-28 北京搜狗科技发展有限公司 Path recommendation method and device and readable medium
CN111815945A (en) * 2019-12-17 2020-10-23 北京嘀嘀无限科技发展有限公司 Image acquisition method and device for congested road section, storage medium and electronic equipment
CN113221602A (en) * 2020-01-21 2021-08-06 百度在线网络技术(北京)有限公司 Method, device, equipment and medium for determining road surface condition
CN113221602B (en) * 2020-01-21 2023-09-29 百度在线网络技术(北京)有限公司 Road surface condition determining method, device, equipment and medium
CN113283272A (en) * 2020-02-20 2021-08-20 百度在线网络技术(北京)有限公司 Real-time image information prompting method and device for road congestion and electronic equipment
CN113283272B (en) * 2020-02-20 2022-09-27 百度在线网络技术(北京)有限公司 Real-time image information prompting method and device for road congestion and electronic equipment
CN111523482A (en) * 2020-04-24 2020-08-11 深圳市商汤科技有限公司 Lane congestion detection method and apparatus, electronic device, and storage medium
CN111561945A (en) * 2020-05-26 2020-08-21 姜沛松 Navigation path generation method and device based on Internet of vehicles
CN111649752A (en) * 2020-05-29 2020-09-11 北京四维图新科技股份有限公司 Map data processing method, device and equipment for congested road section
CN111649752B (en) * 2020-05-29 2021-09-21 北京四维图新科技股份有限公司 Map data processing method, device and equipment for congested road section
CN111739291B (en) * 2020-06-05 2023-01-13 腾讯科技(深圳)有限公司 Interference identification method and device in road condition calculation
CN111739291A (en) * 2020-06-05 2020-10-02 腾讯科技(深圳)有限公司 Interference identification method and device in road condition calculation
CN112132315A (en) * 2020-08-18 2020-12-25 华为技术有限公司 Escape route prediction method and deployment and control platform of target object
CN111932891A (en) * 2020-08-20 2020-11-13 腾讯科技(深圳)有限公司 Road condition identification method and related device
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CN112435472A (en) * 2020-11-12 2021-03-02 北京嘀嘀无限科技发展有限公司 Congestion analysis method, device, equipment and storage medium
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