CN110164130A - Traffic incidents detection method, apparatus, equipment and storage medium - Google Patents
Traffic incidents detection method, apparatus, equipment and storage medium Download PDFInfo
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- CN110164130A CN110164130A CN201910356424.4A CN201910356424A CN110164130A CN 110164130 A CN110164130 A CN 110164130A CN 201910356424 A CN201910356424 A CN 201910356424A CN 110164130 A CN110164130 A CN 110164130A
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- vehicle
- detection zone
- traffic
- traffic events
- detection
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Classifications
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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
-
- 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
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
Abstract
This application discloses a kind of traffic incidents detection methods, device, equipment and storage medium, detection zone delimited on present road, obtain road structure data and the traffic flow data in the detection zone, obtain the running data of each vehicle in the detection zone, the running data is for statistical analysis, obtain the corresponding travelling characteristic of each vehicle, according to the road structure data, the travelling characteristic of traffic flow data and each vehicle, it detects in the detection zone with the presence or absence of traffic events, to based on the travelling characteristic of the vehicle in detection zone, big data analysis is carried out to the wagon flow traveling behavior of detection zone, the traffic events for influencing vehicle pass-through can quick and precisely be detected, without broken road installation vehicle flowrate or speed of vehicle detector, without arranged in high density detection device, reduce the throwing of highway communication event detection Provide cost.
Description
Technical field
This application involves transport information field, in particular to a kind of traffic incidents detection method, apparatus, equipment and storage
Medium.
Background technique
China has become Global Trends in Motor Vehicle ownership highest, the longest country of highway mileage, the traffic peace to take place frequently
Full accident brings massive losses to the people's lives and property, since the traffic events such as burst group mist can not be detected accurately, early warning,
The end so that casualty generated is even more appeared in the newspapers repeatly.
Traffic events are divided into scheduled events and emergency event, for influencing the scheduled events of autos only, can pass through meter
The report for the department of drawing is learnt, and takes necessary Forewarning Measures to reduce contingency occurrence probability.And for influencing vehicle pass-through
Emergency event mainly has following a few class detection methods at present: the first is detected for road surface or trackside sensor, by road
Sensor coil, camera or intelligent railway spike are installed, real-time monitoring is carried out to the magnitude of traffic flow of road, and prominent by the magnitude of traffic flow
So the discovery of the abnormal conditions such as reduction influences the traffic events of vehicle pass-through, but needs break road in detection zone or laying closely is suitable
Sensor；Second is traffic participant sharing or report, in today that mobile Internet is used widely, by way of event
The traffic participant in place is usually happy to share or reports found traffic events, and this method will rely on the master of traffic participant
Dynamic report；The third is the detection method based on sampling vehicle (Floating Car), i.e., by counting a certain proportion of Floating Car at certain
The journey time in a section, and its journey time and history journey time are compared, if it find that there is significant change, then may be used
It is judged as in the presence of the traffic events for influencing passage, but this method relies on the Floating Car for being mounted with on-vehicle positioning terminal, for highway
Traffic, the deficiency of Floating Car quantity will lead to the extension of event detection time, to reduce the confidence level of detected traffic events.
It therefore, is this how without rapidly and accurately detecting traffic events in the case where putting into a large amount of testing costs
The technical issues of field urgent need to resolve.
Summary of the invention
The application's is designed to provide a kind of traffic incidents detection method, apparatus, equipment and storage medium, with can be fast
Speed accurately detects traffic events.
In a first aspect, the embodiment of the present application provides a kind of traffic incidents detection method, comprising:
Detection zone delimited on present road；
Obtain road structure data and the traffic flow data in the detection zone；
The running data of each vehicle in the detection zone is obtained, the running data includes the running speed at each moment
And acceleration；
The running data is for statistical analysis, obtain the corresponding travelling characteristic of each vehicle；The travelling characteristic includes
Duration and lasting acceleration time are persistently run at a low speed after deceleration position, slow down moment, deceleration brief acceleration, deceleration；
According to the road structure data, the travelling characteristic of traffic flow data and each vehicle, the detection zone is detected
It is interior to whether there is traffic events.
In one possible implementation, in the above method provided by the embodiments of the present application, the road structure number
According to the position including element place in the detection zone, the element place includes intersection, ring road, tunnel, bridge, limit
Fast area, hypervelocity monitoring point and zig zag section；The traffic flow data includes different at various moments in the detection zone
The up direction of driving section and the vehicle flowrate of down direction.
In one possible implementation, in the above method provided by the embodiments of the present application, the traffic events packet
Include single-point traffic events and regional traffic events；
It is described according to the road structure data, the travelling characteristic of traffic flow data and each vehicle, detect the detection
It whether there is traffic events in region, comprising:
According to the road structure data, to the traveling of each vehicle on up direction in the detection zone or down direction
Feature is for statistical analysis, obtain the travelling characteristic analysis of each vehicle as a result, the analysis result include space clustering result with
Annual distribution result；
According to the analysis result and traffic flow data, calculates and continue after slowing down on the up direction or down direction
The ratio of the vehicle number of slow moving vehicle and different driving section vehicle flowrates；
If the ratio is greater than default fractional threshold, there are single-points for the up direction or down direction of corresponding driving section
Traffic events；
It is for statistical analysis to the single-point traffic events occurred in the detection zone, if adjacent multiple in preset range
There are the single-point traffic events of multiple same types within a preset period of time in driving section, then the multiple driving section part exists
Regional traffic events.
In one possible implementation, in the above method provided by the embodiments of the present application, further includes:
If there are traffic events in the detection zone, sent to the trackside variable information board of the detection zone upstream
Prompting message, the prompting message drive for reminding upstream vehicle to slow down.
Second aspect, the embodiment of the present application provide a kind of traffic incidents detection device, comprising:
Module delimited, for delimiting detection zone on present road；
Module is obtained, for obtaining road structure data and traffic flow data in the detection zone；Described in acquisition
The running data of each vehicle in detection zone, the running data include the running speed and acceleration at each moment；
Analysis module, for running data input preset vehicle travelling characteristic analysis model is for statistical analysis,
Obtain the corresponding travelling characteristic of each vehicle；The travelling characteristic includes deceleration position, the moment of slowing down, deceleration brief acceleration, slows down
Duration and lasting acceleration time are persistently run at a low speed afterwards；
Detection module, for the travelling characteristic according to the road structure data, traffic flow data and each vehicle, detection
It whether there is traffic events in the detection zone.
In one possible implementation, in above-mentioned apparatus provided by the embodiments of the present application, the road structure number
According to including position of the element place in the detection zone that speed limit requires, the element place include intersection, ring road,
Tunnel, bridge, speed limit area, hypervelocity monitoring point and zig zag section；The traffic flow data include in the detection zone
The up direction of each moment difference driving section and the vehicle flowrate of down direction.
In one possible implementation, in above-mentioned apparatus provided by the embodiments of the present application, the traffic events packet
Include single-point traffic events and regional traffic events；
The detection module, comprising:
Analytical unit is used for according to the road structure data, to up direction or down direction in the detection zone
The travelling characteristic of upper each vehicle is for statistical analysis, and the travelling characteristic for obtaining each vehicle is analyzed as a result, the analysis result includes
Space clustering result and Annual distribution result；
Single-point detection unit, for according to the analysis result and traffic flow data, calculate the up direction or under
The ratio of the vehicle number of lasting slow moving vehicle and different driving section vehicle flowrates after slowing down on line direction；If the ratio is big
In default fractional threshold, then there are single-point traffic events for the up direction of corresponding driving section or down direction；
Region detection unit, for for statistical analysis to the single-point traffic events occurred in the detection zone, if in advance
It is if the single-point traffic events of multiple same types occur within a preset period of time in adjacent multiple driving sections in range, then described
Multiple driving section part domain of the existence traffic events.
In one possible implementation, in above-mentioned apparatus provided by the embodiments of the present application, further includes:
Cue module, if for there are traffic events in the detection zone, to the trackside of the detection zone upstream
Variable information board sends prompting message, and the prompting message drives for reminding upstream vehicle to slow down.
The third aspect, the embodiment of the present application provide a kind of electronic equipment, comprising: memory and processor；
The memory, for storing computer program；
Wherein, the processor executes the computer program in the memory, to realize above-mentioned first aspect and
Method described in each embodiment of one side.
Fourth aspect, the embodiment of the present application provide a kind of computer readable storage medium, the computer-readable storage
Computer program is stored in medium, for realizing above-mentioned first aspect and when the computer program is executed by processor
Method described in each embodiment of one side.
Compared with prior art, traffic incidents detection method, apparatus, equipment and storage medium provided by the present application, are working as
Detection zone delimited on preceding road, obtains road structure data and traffic flow data in the detection zone, described in acquisition
The running data of each vehicle in detection zone, the running data include the running speed and acceleration at each moment, will be described
Running data is for statistical analysis, obtains the corresponding travelling characteristic of each vehicle；When the travelling characteristic includes deceleration position, slows down
Persistently run at a low speed duration and lasting acceleration time after quarter, deceleration brief acceleration, deceleration, according to the road structure data,
The travelling characteristic of traffic flow data and each vehicle is detected with the presence or absence of traffic events in the detection zone, thus with detection
Based on the travelling characteristic of vehicle in region, big data analysis is carried out to the wagon flow traveling behavior of detection zone, is come quickly quasi-
Really detection influences the traffic events of vehicle pass-through, without broken road installation vehicle flowrate or speed of vehicle detector, examines without arranged in high density
Measurement equipment reduces the cost of investment of highway communication event detection.
Detailed description of the invention
Fig. 1 is application scenarios schematic diagram provided by the embodiments of the present application；
Fig. 2 is the flow diagram for the traffic incidents detection method that the embodiment of the present application one provides；
Fig. 3 is the flow diagram for the step S105 that the embodiment of the present application one provides；
Fig. 4 is the structural schematic diagram for the traffic incidents detection device that the embodiment of the present application two provides；
Fig. 5 is the structural schematic diagram for the detection module that the embodiment of the present application two provides；
Fig. 6 is server capability configuration schematic diagram one provided by the embodiments of the present application；
Fig. 7 is server capability configuration schematic diagram two provided by the embodiments of the present application；
Fig. 8 is the structural schematic diagram for the electronic equipment that the embodiment of the present application three provides.
Specific embodiment
With reference to the accompanying drawing, the specific embodiment of the application is described in detail, it is to be understood that the guarantor of the application
Shield range is not limited by the specific implementation.
Unless otherwise explicitly stated, otherwise in entire disclosure and claims, term " includes " or its change
Changing such as "comprising" or " including " etc. will be understood to comprise stated element or component, and not exclude other members
Part or other component parts.
With popularizing for mobile Internet, automobile intelligent net joins the fast development of technology and automatic driving technology, with
And the development of cloud computing technology, the running data that a large amount of vehicles in larger range can be compared in similar events are acquired
And analysis, to provide possibility to influence the quick and precisely detection of the traffic events of vehicle pass-through.
Fig. 1 is application scenarios schematic diagram provided by the embodiments of the present application.As shown in the figure, including server 200, trackside list
The vehicle of member 110 and 120, up direction and down direction, the wherein vehicle 1 of up direction and vehicle 2 and down direction
Vehicle 3 and vehicle 4 are that intelligent network joins vehicle (such as automatic driving vehicle), can be connect with roadside unit or server communication.Clothes
Business device can be disposed beyond the clouds, can also be deployed in the computer room of detection zone, or even be deployed in the trackside for being installed on driving section
On unit, i.e., server 200 may be mounted on roadside unit 110 or 120.Driving section refers to the road vertical with direction of traffic
Road cross section.
Currently, intelligent network connection vehicle is gradually popularized, and intelligent network joins vehicle can be with relatively high frequency to after unifying
Platform server reports the running datas such as the operating status of itself, such as position and present speed etc..It is based on intelligent network connection vehicle
The running data reported, present applicant proposes following examples.
Fig. 2 is the flow diagram of traffic incidents detection method that the embodiment of the present application one provides, in practical application, this reality
The executing subject for applying example can be traffic incidents detection device, which can be realized by virtual bench,
Such as software code, it can also be realized by being written with the related entity apparatus for executing code, such as USB flash disk, then alternatively, can also be with
It is realized by being integrated with the related entity apparatus for executing code, for example, chip, various computer, server etc..Below with server
The present embodiment is introduced for executing subject.
As shown in Fig. 2, method provided in this embodiment includes the following steps S101~S105:
S101, detection zone delimited on present road.
In the present embodiment, detection zone can be delimited on the high-grade highways such as highway, level-one road, the detection zone
Domain may include multiple direction of traffic, and multiple direction of traffic can be divided into up direction and down direction.In the detection zone
Also interval is provided with multiple driving sections for detection, as shown in Figure 1.
S102, the road structure data in the acquisition detection zone and traffic flow data.
Wherein, the road structure data include position of the element place in the detection zone, the element place
Including intersection, ring road, tunnel, bridge, speed limit area, hypervelocity monitoring point and zig zag section, there can also be speed limit including other
It is required that element place.The traffic flow data includes the up direction of different section at various moments in the detection zone
With the vehicle flowrate of down direction.
It, can be based on the acquisition inspection of existing global position system after delimiting detection zone on present road in the present embodiment
The road structure data in region are surveyed, or the conversion of the design document based on road obtains the road structure data of detection zone, packet
Include the position for thering is special speed limit to require in intersection, ring road, tunnel, bridge, speed limit area, hypervelocity monitoring point and section etc. of taking a sudden turn
It is demarcated, such as XL={ X1,X2,X3..., wherein XnPosition of each calibration point in detection zone, can with pile No. or
Person's latitude and longitude coordinates etc. indicate that all position data storages are in the server.It is disconnected that different drivings in detection zone are also obtained simultaneously
The motor vehicle flow statistical data in face in practical application, can be installed from road unit of operation, maintenance unit or road
The motor vehicle flow statistical data that different driving sections in detection zone are obtained in vehicle Flow Detection equipment, is recorded as Q={ Q1,u
(t), Q1,d(t), Q2,u(t), Q2,d(t) ... }, wherein Qi,u(t) i-th of driving section up direction vehicle flowrate in t is indicated,
Qi,d(t) i-th of section down direction vehicle flowrate in t is indicated.
S103, the running data for obtaining each vehicle in the detection zone, the running data includes the row at each moment
Vehicle speed and acceleration.
In the present embodiment, the running data of each vehicle in detection zone is also obtained, which can be motor vehicle
Driver to the control action (such as brake deceleration, acceleration of stepping on the gas) of motor vehicle or motor vehicle in automatic Pilot
Control data.Specifically, can be based on interior sensor and the acquisition of intelligent network connection technology, the travel speed for summarizing vehicle, deceleration
Or accelerate information, for example, can use the vehicle-mounted inspection of vehicle intelligent net connection equipment connection vehicle CAN bus or automatic driving vehicle
Measurement equipment acquires the basic datas such as running speed, the acceleration of vehicle.
It is S104, the running data is for statistical analysis, obtain the corresponding travelling characteristic of each vehicle；The travelling characteristic
Including persistently running at a low speed duration and lasting acceleration time after deceleration position, slow down moment, deceleration brief acceleration, deceleration.
In the present embodiment, in order to improve Statistical Speed, a vehicle operation characteristic analysis model can be constructed in advance, serviced
Device runs the vehicle operation characteristic analysis model pre-established, and the behavior to single unit vehicle in detection zone is assessed, emphasis
It is the deceleration position for appraising and deciding decelerating vehicles, calculate rate of deceleration (acceleration) size, adds up after slowing down persistently to run at a low speed the time
Deng, the travelling characteristic of the preliminary judgement vehicle, therefore the travelling characteristic may include deceleration position, moment of slowing down, add when slowing down
Duration and lasting acceleration time are persistently run at a low speed after speed, deceleration.Specifically, vehicle operation characteristic analysis model is with vehicle
The acceleration information that each vehicle is extracted based on running speed, it is for statistical analysis to the timing of vehicle operation data, it obtains
Duration t is persistently run at a low speed after the deceleration position X of vehicle, slow down moment T, deceleration brief acceleration a, deceleration1And lasting acceleration
Time t2Deng.
S105, according to the road structure data, the travelling characteristic of traffic flow data and each vehicle, detect the detection
It whether there is traffic events in region.
In the present embodiment, the traffic events may include single-point traffic events and regional traffic events.Correspondingly, such as
Shown in Fig. 3, step S105 be may comprise steps of:
S301, according to the road structure data, to each vehicle on up direction in the detection zone or down direction
Travelling characteristic it is for statistical analysis, obtain each vehicle travelling characteristic analyze as a result, the analysis result includes space clustering
As a result with Annual distribution result.
Wherein, the space clustering result refers to correlation of the travelling characteristic of each vehicle on spatial position, such as slows down
The correlation of position X.The Annual distribution result refers to the correlation of the travelling characteristic of each vehicle in time, such as slows down the moment
Continue similitude of running time t1 etc. after closing property of T-phase, deceleration.
S302, according to the analysis result and traffic flow data, calculate and slow down on the up direction or down direction
Afterwards continue slow moving vehicle vehicle number with it is different drive a vehicle section vehicle flowrates ratio.
If S303, the ratio are greater than default fractional threshold, the up direction or down direction of corresponding driving section are deposited
In single-point traffic events.
It is S304, for statistical analysis to the single-point traffic events occurred in the detection zone, if adjacent in preset range
Multiple driving sections occur the single-point traffic events of multiple same types within a preset period of time, then the multiple driving section
Locate domain of the existence traffic events.
In practical application, single-point traffic events Early-warning Model can be pre-established, runs the single-point traffic on the server
Event Early-warning Model, according to road structure data, using the methods of space cluster analysis and Annual distribution analysis to the detection
The travelling characteristic of each vehicle is analyzed (such as big data analysis) on up direction or down direction in region, and it is poly- to obtain space
Class result and Annual distribution are as a result, to classify to each vehicle.It is analyzed in conjunction with road structure data, for example, vehicle
Slow down and occurs in XLPosition then combines vehicle further determines whether to be normal in the normally travel rule of these particular points
Slow down, slow down if it is normal, show that no traffic events exist, slows down if not normal, be then further analyzed.
In the present embodiment, further analyzed according to above-mentioned analysis result and traffic flow data.Analytic process includes following
Several situations: the first situation be it is small by the vehicle flowrate of a certain driving section, if wherein a certain proportion of vehicle driving is special
The similarity degree of sign is high (similitude for continuing running time t1 after such as deceleration moment T, the correlation of rate of deceleration a, deceleration),
It then can analyze the driving section and single-point traffic events occur；Second situation is the vehicle flowrate by a certain driving section
Greatly, if detecting that a certain proportion of vehicle operation characteristic has higher similarity degree (in such as 1 minute) whithin a period of time,
It can analyze the driving section and single-point traffic events occur；The third situation is if more than one in delimited detection zone
Intelligent network connection vehicle, the travelling characteristic similarity degree of automatic driving vehicle of certainty ratio are high, then can analyze a certain driving section
There are single-point traffic events.It is consequently possible to calculate continuing low speed after slowing down on up direction or down direction in detection zone
The ratio of the vehicle number of driving vehicle and different driving section vehicle flowrates, if the ratio is greater than default fractional threshold (such as 60%),
There are single-point traffic events for the up direction or down direction that then can analyze to obtain corresponding driving section.Analyze obtained single-point
Traffic events can be verified by other existing technological means, as monitor video, the flow of proximal event scene are examined
Driving section flow and flow speeds that measurement equipment is monitored etc..
In the present embodiment, after occurring multiple single-point traffic events in detection zone, it can further analyse whether exist
Regional traffic events.Specifically, can establish regional traffic events Early-warning Model, using Spatial analysis method to inspection
It surveys the single-point traffic events that up direction or down direction occur in region and carries out comprehensive analysis, obtain each single-point traffic events
Space correlation relationship, for example, if multiple driving sections adjacent in preset range occur within a preset period of time it is multiple identical
The single-point traffic events of type then can analyze to obtain corresponding multiple driving section part domain of the existence traffic events, this is default
It can be in 1 kilometer range or in 3 kilometer ranges, can be in the preset time period in 10 minutes or in 30 minutes in range,
It is specifically set depending on actual conditions, regional traffic events such as burst group mist, large area icy road, a wide range of traffic accident
Deng.Analyzing obtained regional traffic events can be verified by other prior art means, such as proximal event scene
The offers such as monitor video, road maintenance patrolman, the public information.
If for example: it gets on the bus with downlink section the position that reduces speed now of the uplink section vehicle on identical number highway
Start accelerate position spatially to approach, and vehicle starts to accelerate vehicle on position and downlink section on uplink section
It reduces speed now and is positioned relatively close to, and 1 kilometer of midfeather, then the area for affecting two-way traffic can occur on the early warning highway
Domain property traffic events.In practical application, planned maintenance event is excluded in combination with maintenance plan, and damaged or destroyed by flood event is in combination with friendship
Ventilation image information is screened, can be prominent with early warning if can exclude common two-way traffic in conjunction with mass data influences event
The events such as hair group mist.
Optionally, on the basis of the above embodiments, can also include: in the above method
If there are traffic events in the detection zone, sent to the trackside variable information board of the detection zone upstream
Prompting message, the prompting message drive for reminding upstream vehicle to slow down.
Traffic incidents detection method provided in this embodiment, delimit detection zone on present road, obtain the detection
Road structure data and traffic flow data in region obtain the running data that connection vehicle is respectively netted in the detection zone, institute
The running speed and acceleration that running data includes each moment are stated, the running data is for statistical analysis, obtain each net
Join the corresponding travelling characteristic of vehicle；The travelling characteristic includes deceleration position, slow down moment, deceleration brief acceleration, holds after deceleration
It is continuous to run at a low speed duration and lasting acceleration time, according to the road structure data, traffic flow data and each net connection vehicle
Travelling characteristic, detect with the presence or absence of traffic events in the detection zone, thus with the row of the net connection vehicle in detection zone
Based on sailing feature, big data analysis is carried out to the wagon flow traveling behavior of detection zone, it is logical quick and precisely to detect influence vehicle
Capable traffic events are not necessarily to arranged in high density detection device, reduce highway without broken road installation vehicle flowrate or speed of vehicle detector
The cost of investment of traffic incidents detection.
Following is the application Installation practice, can be used for executing the application embodiment of the method.It is real for the application device
Undisclosed details in example is applied, the application embodiment of the method is please referred to.
Fig. 4 is the structural schematic diagram for the traffic incidents detection device that the embodiment of the present application two provides, as shown in figure 4, the dress
It sets and may include:
Module 410 delimited, for delimiting detection zone on present road；
Module 420 is obtained, for obtaining road structure data and traffic flow data in the detection zone；Obtain institute
The running data of each vehicle in detection zone is stated, the running data includes the running speed and acceleration at each moment；
Analysis module 430, for by the running data it is for statistical analysis, obtain the corresponding travelling characteristic of each vehicle；
The travelling characteristic includes deceleration position, slow down moment, deceleration brief acceleration, persistently runs at a low speed duration after deceleration and continue
Acceleration time；
Detection module 440, for the travelling characteristic according to the road structure data, traffic flow data and each vehicle,
It detects in the detection zone with the presence or absence of traffic events.
Traffic incidents detection device provided in this embodiment, delimit detection zone on present road, obtain the detection
Road structure data and traffic flow data in region, obtain the running data of each vehicle in the detection zone, the row
The running speed and acceleration that data include each moment are sailed, the running data is for statistical analysis, obtain each vehicle pair
The travelling characteristic answered；The travelling characteristic includes lasting low speed row after deceleration position, slow down moment, deceleration brief acceleration, deceleration
Duration and lasting acceleration time are sailed, according to the road structure data, the travelling characteristic of traffic flow data and each vehicle, inspection
It surveys with the presence or absence of traffic events in the detection zone, thus based on the travelling characteristic of the vehicle in detection zone, to inspection
The wagon flow traveling behavior for surveying region carries out big data analysis, quick and precisely to detect the traffic events for influencing vehicle pass-through, is not necessarily to
Broken road installation vehicle flowrate or speed of vehicle detector, are not necessarily to arranged in high density detection device, reduce the throwing of highway communication event detection
Provide cost.
Preferably, the road structure data include position of the element place in the detection zone, the element
Point includes intersection, ring road, tunnel, bridge, speed limit area, hypervelocity monitoring point and zig zag section；The traffic flow data packet
Include in the detection zone vehicle flowrate of the up direction of different driving sections and down direction at various moments.
Preferably, the traffic events include single-point traffic events and regional traffic events.
Correspondingly, as shown in figure 5, the detection module 440, comprising:
Analytical unit 441 is used for according to the road structure data, to up direction or downlink side in the detection zone
The travelling characteristic of upward each vehicle is for statistical analysis, and the travelling characteristic for obtaining each vehicle is analyzed as a result, the analysis result packet
Include space clustering result and Annual distribution result；
Single-point detection unit 442, for according to the analysis result and traffic flow data, calculate the up direction or
The ratio of the vehicle number of lasting slow moving vehicle and different driving section vehicle flowrates after slowing down on down direction；If the ratio
Greater than default fractional threshold, then there are single-point traffic events for the up direction of corresponding driving section or down direction；
Region detection unit 443, for for statistical analysis to the single-point traffic events occurred in the detection zone, if
There are the single-point traffic events of multiple same types within a preset period of time in adjacent multiple driving sections in preset range, then institute
State multiple driving section part domain of the existence traffic events.
Preferably, described device can also include: cue module 450, if for there are traffic things in the detection zone
Part then sends prompting message to the trackside variable information board of the detection zone upstream, and the prompting message is for reminding upstream
Vehicle deceleration drives.
In practical application, as shown in Figure 1, the module configuration to server 200 is illustrated.Including two kinds of embodiments,
One kind is that cloud is disposed, as shown in fig. 6, realized using cloud computing mode, data storage of the present embodiment, vehicle row
It sails Characteristic Analysis Model, single-point traffic events Early-warning Model and regional traffic events Early-warning Model and all disposes service beyond the clouds
On device, vehicle is communicated by communication network (may be composed of cable network, wireless network) with server realization.It is another
It is roadside unit and cloud cooperation deployment, as shown in fig. 7, roadside unit 110 or 120 disposes data storage, vehicle row at this time
Characteristic Analysis Model and single-point traffic events Early-warning Model are sailed, the server 200 in cloud then disposes data storage and regionality
Traffic events Early-warning Model realizes event handling collaboration.
Fig. 8 is the structural schematic diagram for the electronic equipment that the embodiment of the present application three provides, as shown in figure 8, the equipment includes: to deposit
Reservoir 801 and processor 802；
Memory 801, for storing computer program；
Wherein, processor 802 executes the computer program in memory 801, to realize each method embodiment as described above
Provided method.
In embodiment, example is carried out to traffic incidents detection device provided by the present application with an electronic equipment.Processor
It can be the processing of central processing unit (CPU) or the other forms with data-handling capacity and/or instruction execution capability
Unit, and can control the other assemblies in electronic equipment to execute desired function.
Memory may include one or more computer program products, and computer program product may include various forms
Computer readable storage medium, such as volatile memory and/or nonvolatile memory.Volatile memory for example can be with
Including random access memory (RAM) and/or cache memory (cache) etc..Nonvolatile memory for example can wrap
Include read-only memory (ROM), hard disk, flash memory etc..It can store one or more computers on computer readable storage medium
Program instruction, processor can run program instruction, method in each embodiment to realize the application above and/or
Other desired functions of person.Such as input signal, signal component, noise point can also be stored in a computer-readable storage medium
The various contents such as amount.
The embodiment of the present application four provides a kind of computer readable storage medium, stores in the computer readable storage medium
There is computer program, for realizing side provided by each method embodiment as described above when which is executed by processor
Method.
In practical application, the computer program in the present embodiment can be with any group of one or more programming languages
It closes to write the program code for executing the embodiment of the present application operation, programming language includes object-oriented programming
Language, Java, C++, python etc. further include conventional procedural programming language, such as " C " language or similar
Programming language.Program code can be executed fully on the user computing device, partly execute, make on a user device
It is executed for an independent software package, part partially executes on a remote computing on the user computing device or complete
It is executed in remote computing device or server.
In practical application, computer readable storage medium can be using any combination of one or more readable mediums.It can
Reading medium can be readable signal medium or readable storage medium storing program for executing.Readable storage medium storing program for executing for example can include but is not limited to electricity,
Magnetic, optical, electromagnetic, infrared ray or semiconductor system, device or device, or any above combination.Readable storage medium storing program for executing
More specific example (non exhaustive list) includes: electrical connection with one or more conducting wires, portable disc, hard disk, random
It accesses memory (RAM), read-only memory (ROM), erasable programmable read only memory (EPROM or flash memory), optical fiber, portable
Formula compact disk read-only memory (CD-ROM), light storage device, magnetic memory device or above-mentioned any appropriate combination.
The description of the aforementioned specific exemplary embodiment to the application is in order to illustrate and illustration purpose.These descriptions
It is not wishing to for the application to be limited to disclosed precise forms, and it will be apparent that according to the above instruction, can much be changed
And variation.The purpose of selecting and describing the exemplary embodiment is that explaining the specific principle of the application and its actually answering
With so that those skilled in the art can be realized and utilize the application a variety of different exemplary implementation schemes and
Various chooses and changes.Scope of the present application is intended to be limited by claims and its equivalents.
Claims (10)
1. a kind of traffic incidents detection method characterized by comprising
Detection zone delimited on present road；
Obtain road structure data and the traffic flow data in the detection zone；
The running data of each vehicle in the detection zone is obtained, the running data includes the running speed at each moment and adds
Speed；
The running data is for statistical analysis, obtain the corresponding travelling characteristic of each vehicle；The travelling characteristic includes slowing down
Duration and lasting acceleration time are persistently run at a low speed after position, slow down moment, deceleration brief acceleration, deceleration；
According to the road structure data, the travelling characteristic of traffic flow data and each vehicle, detecting in the detection zone is
It is no that there are traffic events.
2. the method according to claim 1, wherein the road structure data include element place in the inspection
The position in region is surveyed, the element place includes intersection, ring road, tunnel, bridge, speed limit area, hypervelocity monitoring point and racing
Detour section；The traffic flow data include in the detection zone at various moments the up direction of different driving sections and under
The vehicle flowrate of line direction.
3. according to the method described in claim 2, it is characterized in that, the traffic events include single-point traffic events and regionality
Traffic events；
It is described according to the road structure data, the travelling characteristic of traffic flow data and each vehicle, detect the detection zone
It is interior to whether there is traffic events, comprising:
According to the road structure data, to the travelling characteristic of each vehicle on up direction in the detection zone or down direction
For statistical analysis, the travelling characteristic for obtaining each vehicle is analyzed as a result, the analysis result includes space clustering result and time
Distribution results；
According to the analysis result and traffic flow data, calculates and continue low speed after slowing down on the up direction or down direction
The ratio of the vehicle number of driving vehicle and different driving section vehicle flowrates；
If the ratio is greater than default fractional threshold, there are single-point traffic for the up direction or down direction of corresponding driving section
Event；
It is for statistical analysis to the single-point traffic events occurred in the detection zone, if multiple drivings adjacent in preset range
There are the single-point traffic events of multiple same types within a preset period of time in section, then the multiple driving section part domain of the existence
Property traffic events.
4. method according to claim 1-3, which is characterized in that the method also includes:
If there are traffic events in the detection zone, sends and prompt to the trackside variable information board of the detection zone upstream
Message, the prompting message drive for reminding upstream vehicle to slow down.
5. a kind of traffic incidents detection device characterized by comprising
Module delimited, for delimiting detection zone on present road；
Module is obtained, for obtaining road structure data and traffic flow data in the detection zone；Obtain the detection
The running data of each vehicle in region, the running data include the running speed and acceleration at each moment；
Analysis module, for by the running data it is for statistical analysis, obtain the corresponding travelling characteristic of each vehicle；The traveling
When feature includes deceleration position, slow down moment, deceleration brief acceleration, persistently runs at a low speed duration and persistently accelerate after deceleration
Between；
Detection module, for the travelling characteristic according to the road structure data, traffic flow data and each vehicle, described in detection
It whether there is traffic events in detection zone.
6. device according to claim 5, which is characterized in that the road structure data include element place in the inspection
The position in region is surveyed, the element place includes intersection, ring road, tunnel, bridge, speed limit area, hypervelocity monitoring point and racing
Detour section；The traffic flow data include in the detection zone at various moments the up direction of different driving sections and under
The vehicle flowrate of line direction.
7. device according to claim 6, which is characterized in that the traffic events include single-point traffic events and regionality
Traffic events；
The detection module, comprising:
Analytical unit is used for according to the road structure data, to each on up direction in the detection zone or down direction
The travelling characteristic of vehicle is for statistical analysis, and the travelling characteristic for obtaining each vehicle is analyzed as a result, the analysis result includes space
Cluster result and Annual distribution result；
Single-point detection unit, for calculating the up direction or downlink side according to the analysis result and traffic flow data
The ratio of the vehicle number of lasting slow moving vehicle and different driving section vehicle flowrates after slowing down upwards；If the ratio is greater than pre-
If fractional threshold, then there are single-point traffic events for the up direction of corresponding driving section or down direction；
Region detection unit, for for statistical analysis to the single-point traffic events occurred in the detection zone, if default model
It encloses interior adjacent multiple driving sections and occurs the single-point traffic events of multiple same types within a preset period of time, then it is the multiple
Driving section part domain of the existence traffic events.
8. according to the described in any item devices of claim 5-7, which is characterized in that described device further include:
Cue module, if for there are traffic events in the detection zone, it is variable to the trackside of the detection zone upstream
Advices plate sends prompting message, and the prompting message drives for reminding upstream vehicle to slow down.
9. a kind of electronic equipment, comprising: memory and processor；
The memory, for storing computer program；
Wherein, the processor executes the computer program in the memory, to realize such as any one of claim 1-4 institute
The method stated.
10. a kind of computer readable storage medium, which is characterized in that be stored with computer in the computer readable storage medium
Program, for realizing method such as of any of claims 1-4 when the computer program is executed by processor.
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