CN109360416A - Road traffic prediction technique and server - Google Patents
Road traffic prediction technique and server Download PDFInfo
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- CN109360416A CN109360416A CN201811181962.6A CN201811181962A CN109360416A CN 109360416 A CN109360416 A CN 109360416A CN 201811181962 A CN201811181962 A CN 201811181962A CN 109360416 A CN109360416 A CN 109360416A
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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
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
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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
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—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
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Abstract
The present invention is suitable for computer application technology, provide a kind of road traffic prediction technique, server and computer readable storage medium, it include: the vehicle flowrate data by obtaining the section to be measured that road monitoring apparatus is sent, and the traveling data that the terminal in the vehicle in section to be measured is sent；According to vehicle flowrate data, traveling data and the default road information in section to be measured, the congestion coefficient in section to be measured is calculated；Determine whether section to be measured is congestion section according to congestion coefficient and preset congestion threshold.The traveling data of the vehicle termination in vehicle flowrate data and section to be measured by obtaining the section to be measured of road monitoring apparatus transmission simultaneously, and it is combined according to vehicle flowrate data and traveling data and congestion coefficient is calculated, to judge whether current road segment occurs congestion by congestion coefficient, the accuracy and integrality for improving road congestion judgement, the road traffic control for after provide good data basis.
Description
Technical field
The invention belongs to computer application technology more particularly to a kind of road traffic prediction techniques, server and meter
Calculation machine readable storage medium storing program for executing.
Background technique
There is the urban road traffic network of oneself in each city, and people are by selecting different routes that can quickly reach
The destination of oneself.However, many times due to traffic congestion, if still according to previous traffic path, user will
It is difficult to reach the destination of oneself in regulation duration.It is well known that urban road congestion is a kind of dynamic congestion, Er Feijing
The congestion of state.This also means that the degree of road congestion changes with the variation of duration.
In the prior art by being monitored to Traffic Information, current traffic congestion situation is determined.But it is this
Mode in the case where vehicle flowrate changes at random, can not comprehensively, calculate to a nicety to obtain road congestion situation.
Summary of the invention
In view of this, the embodiment of the invention provides a kind of road traffic prediction technique, server and computer-readable depositing
Storage media, to solve in the prior art in the case where vehicle flowrate change at random, can not it is comprehensive, calculate to a nicety to obtain road
The problem of congestion.
The first aspect of the embodiment of the present invention provides a kind of road traffic prediction technique, comprising:
Obtain the vehicle flowrate data in the section to be measured that road monitoring apparatus is sent, and the vehicle in the section to be measured
In terminal send traveling data；
According to the default road information of the vehicle flowrate data, the traveling data and the section to be measured, institute is calculated
State the congestion coefficient in section to be measured；
Determine whether the section to be measured is congestion section according to the congestion coefficient and preset congestion threshold.
The second aspect of the embodiment of the present invention provides a kind of server, including memory, processor and is stored in institute
The computer program that can be run in memory and on the processor is stated, the processor executes real when the computer program
Existing following steps:
Obtain the vehicle flowrate data in the section to be measured that road monitoring apparatus is sent, and the vehicle in the section to be measured
In terminal send traveling data；
According to the default road information of the vehicle flowrate data, the traveling data and the section to be measured, institute is calculated
State the congestion coefficient in section to be measured；
Determine whether the section to be measured is congestion section according to the congestion coefficient and preset congestion threshold.The present invention
The third aspect of embodiment provides a kind of computer readable storage medium, and the computer storage medium is stored with computer journey
Sequence, the computer program include program instruction, and described program instruction when being executed by a processor executes the processor
The method for stating first aspect.
Existing beneficial effect is the embodiment of the present invention compared with prior art:
The embodiment of the present invention by obtain road monitoring apparatus send section to be measured vehicle flowrate data, and in
The traveling data that the terminal surveyed in the vehicle in section is sent；According to the default of vehicle flowrate data, traveling data and section to be measured
Road information calculates the congestion coefficient in section to be measured；Whether section to be measured is determined according to congestion coefficient and preset congestion threshold
For congestion section.On vehicle flowrate data and section to be measured by obtaining the section to be measured of road monitoring apparatus transmission simultaneously
The traveling data of vehicle termination, and combined according to vehicle flowrate data and traveling data and congestion coefficient is calculated, to pass through congestion
Coefficient judges whether current road segment occurs congestion, improves the accuracy and integrality of road congestion judgement, the road after being
Traffic control provides good data basis.
Detailed description of the invention
It to describe the technical solutions in the embodiments of the present invention more clearly, below will be to embodiment or description of the prior art
Needed in attached drawing be briefly described, it should be apparent that, the accompanying drawings in the following description is only of the invention some
Embodiment for those of ordinary skill in the art without any creative labor, can also be according to these
Attached drawing obtains other attached drawings.
Fig. 1 is the flow chart for the road traffic prediction technique that the embodiment of the present invention one provides；
Fig. 2 is the flow chart of road traffic prediction technique provided by Embodiment 2 of the present invention；
Fig. 3 is the schematic diagram for the server that the embodiment of the present invention three provides；
Fig. 4 is the schematic diagram for the server that the embodiment of the present invention four provides.
Specific embodiment
In being described below, for illustration and not for limitation, the tool of such as particular system structure, technology etc is proposed
Body details, to understand thoroughly the embodiment of the present invention.However, it will be clear to one skilled in the art that there is no these specific
The present invention also may be implemented in the other embodiments of details.In other situations, it omits to well-known system, device, electricity
The detailed description of road and method, in case unnecessary details interferes description of the invention.
In order to illustrate technical solutions according to the invention, the following is a description of specific embodiments.
It is the flow chart for the road traffic prediction technique that the embodiment of the present invention one provides referring to Fig. 1, Fig. 1.In the present embodiment
The executing subject of road traffic prediction technique is server.Road traffic prediction technique as shown in the figure may include following step
It is rapid:
S101: the vehicle flowrate data in the section to be measured that road monitoring apparatus is sent are obtained, and are in the section to be measured
Vehicle in terminal send traveling data.
Current national economy continual high levels increase, and urbanization is unprecedentedly accelerated, automobile role in daily life
It is more and more important.However, the abruptly increase of automobile quantity has caused a series of urban transport problems, as Private Traffic tool is spread unchecked directly
Connecing leads to that urban highway traffic congestion, traffic accident increase, public transport declines；And social concern, such as motor vehicles play
Environmental pollution is serious, resource consumption is excessive caused by increasing etc..The essence of " trip is difficult " problem is transportation system management and control water
Flat is relatively low, i.e., city road network structure is unreasonable.These problems seriously restrict the sustainable development in city, or even influence state
The normal development of family.Many phenomenon shows urban transport problems already and becomes that government one of must face and solve the problems, such as.
There is the urban road traffic network of oneself in each city, and people are by selecting different routes that can quickly reach
The destination of oneself.However, many times due to traffic congestion, if still according to previous traffic path, user will
It is difficult to reach the destination of oneself at the appointed time.It is well known that urban road congestion is a kind of dynamic congestion, rather than
Static congestion.This also means that the degree of road congestion changes with the variation of time, therefore, the shape of road is obtained
State, it is necessary to obtain the traffic flow modes on road.The rise of car networking (Internet of Vehicle, IOV) is derived from Internet of Things
The fast development of net (Internet of things, IOT), according to the definition of alliance of Chinese Internet of Things school-run enterprise, IOV, which refers to, to be passed through
The electronic equipment on vehicle is loaded in by wireless technology, is realized on information network platform to the quiet multidate information of all vehicles
It extracts and efficiently uses, and effectively supervised according to operating status of the different functional requirements to vehicles all in road network
Pipe and integrated service, are typical case of the technology of Internet of things in field of transportation system.IOV is in-vehicle network, inter-vehicle network and vehicle-mounted shifting
Based on dynamic words networking, according to the communication protocol and Data Exchange Standard of agreement, between vehicle, road, people and internet, carry out
The grid of wireless telecommunications and information exchange is the huge Internet being made of information such as vehicle location, speed and routes.
At global positioning system (Global Position System, GPS), radio frequency identification, sensor, camera image
Devices, the vehicles such as reason can complete the acquisition of itself environment and status information；In the case where there is network communication connection, by mutual
Networking technology will monitor the various information Transmission Convergences of vehicle itself to central processing unit；By computer technology, analysis and place
Information of vehicles is managed, urban highway traffic is alleviated, it is final to realize the purpose for improving urban road network.
And the appearance of vehicle intelligent terminal (Global trusted Identity, GID), solve dynamic traffic just
This problem of information collection.In " end-pipe-cloud " framework of car networking, GID is connected to controller by intelligent vehicle-carried diagnostic system
Local area network perceives vehicle static attribute information and dynamic driving behavior information, and analysis in real time is handled, and building is most really and accurately
The Internet of Things of dynamic vehicle condition and surrounding enviroment information.GID can be greatly reduced traditional car-mounted terminal investment and network construction at
This, solves internet automobile, identity of automobile card and Network Recognition, inherently solves the key problem of car networking terminal.This
A little data can pass through vehicle cloud platform long-term preservation.And car owner can pass through the enquiring vehicle operation at any time of mobile phone, client
Dynamic and static data information.Traffic congestion results in the huge waste in time resource, and traffic congestion field occurs in traffic
In the case where demand approximation or the capacity more than traffic system.It is now it is believed that basic to solve congestion by increasing road
Be it is infeasible, the increase for being primarily due to road traffic capacity will lead to the increase of transport need.These factors promote to need to make
Traffic congestion is solved the problems, such as with based on the method for information.
Since the road network of main cities is equipped with fairly perfect sensor device and the auxiliary that can extract traffic information
Commercial sensor is extracted and analysis different time and traffic data under space and is put into using being possibly realized.In the present embodiment
In, the vehicle flowrate data in section to be measured are obtained by road monitoring apparatus, while vehicle is obtained by the terminal in vehicle and is advanced
Traveling data in the process.
It should be noted that the road monitoring apparatus in the present embodiment is to be mounted on road both sides or prison elsewhere
Equipment, sensor etc. are controlled, for example, such as closed-circuit television camera, GPS device；Terminal in vehicle can be mounted in vehicle
On terminal device, such as GPS device etc. be also possible on driver or vehicle passenger and make the terminal device carried with it, for example,
Mobile phone, tablet computer etc..Wherein road monitoring apparatus is used for and obtains road conditions, for example, vehicle flowrate data, road deliver feelings
Condition etc.；Terminal in vehicle is used to obtain the traveling situation of vehicle, for example, the travel speed of vehicle, dwell time, instantaneous speed
The data such as degree, acceleration and current location information.
In practical applications, when the vehicle flowrate data of each crossing monitoring include intersection information, information of vehicles, pass through
Between, or the data of the video monitoring from crossing.Vehicle application data are mentioned mainly from such as map quotient, vehicle insurance application program etc.
The data service of the third party application of confession includes the information such as user information, longitude and latitude data, speed.Site of road number
According to including section, longitude and latitude range data etc..By carrying out Conjoint Analysis and prediction for after these data acquisitions, guarantee
The accuracy of road congestion situation prediction.While obtaining the vehicle flowrate data in current section to be measured, pass through the traveling of vehicle
Location information in data determines the current position of vehicle, judges whether vehicle is currently traveling on the section to be measured, if,
Then obtain the traveling data for operating in the vehicle on the section to be measured.
S102: according to the default road information of the vehicle flowrate data, the traveling data and the section to be measured, meter
Calculate the congestion coefficient in the section to be measured.
In the present embodiment, the default road information in section to be measured is stored in advance in the server, wherein default road
It include but is not limited to road width, lane quantity, straight length, turn position, turn radian, intersection information in the information of road
And traffic lights information etc., herein without limitation.Operation feelings of the vehicle on the road can be determined by default road information
Condition, so judge current road segment whether congestion.
After getting vehicle flowrate data and traveling data, according to vehicle flowrate data and traveling data and default road
Road information calculates the congestion coefficient in section to be measured.In the present embodiment, vehicle flowrate data are the road vehicle operations of macroscopic view
Situation, for example, on road all vehicles average travel speed, for embodying the loading condition and operating condition of road；It advances
Data are used to indicate the traveling situation of single unit vehicle, for example, instantaneous velocity, location information etc. that the vehicle is currently advanced.At this
In embodiment, the vehicle flowrate data of macroscopic view and single two kinds of data of traveling data are combined, gathering around for section to be measured is calculated
Coefficient is filled in, can comprehensively, accurately determine current congestion situation.
S103: determine whether the section to be measured is congestion section according to the congestion coefficient and preset congestion threshold.
In the present embodiment, it is previously provided with congestion threshold, for determining that current congestion coefficient is by congestion threshold
It is no excessive, if current congestion coefficient is more than or equal to the congestion threshold, it is determined that current road segment is congestion section, if currently gathering around
It fills in coefficient and is less than the congestion threshold, then current road segment is non-congested section.
By determining whether current section to be measured is congestion section, and after judging congestion section, trip is reminded
Personnel avoid areas of congestion；Traffic rules can also be formulated for Traffic Administration Bureau researcher and foundation is provided, such as with the lane in which the drivers should pay fees generation
For share-car road etc.；Congestion data can also be supplied to city planning design personnel, to planning and designing urban transportation route, than
Such as suitably increase section in frequent congestion location；Congestion data can also be supplied to civil engineer, to planning and designing
How construction region, such as short-term construction influence traffic.
Above scheme, the vehicle flowrate data in the section to be measured by obtaining road monitoring apparatus transmission, and in described
The traveling data that terminal in the vehicle in section to be measured is sent；According to the vehicle flowrate data, traveling data and described
The default road information in section to be measured calculates the congestion coefficient in the section to be measured；According to the congestion coefficient and preset gather around
Plug threshold value determines whether the section to be measured is congestion section.By the section to be measured for obtaining road monitoring apparatus transmission simultaneously
The traveling data of vehicle flowrate data and the vehicle termination on section to be measured, and meter is combined according to vehicle flowrate data and traveling data
Calculation obtains congestion coefficient, to judge whether current road segment occurs congestion by congestion coefficient, improves the standard of road congestion judgement
True property and integrality, the road traffic control for after provide good data basis.
Referring to fig. 2, Fig. 2 is the flow chart of road traffic prediction technique provided by Embodiment 2 of the present invention.In the present embodiment
The executing subject of road traffic prediction technique is server.Road traffic prediction technique as shown in the figure may include following step
It is rapid:
S201: the vehicle flowrate data in the section to be measured that road monitoring apparatus is sent are obtained, and are in the section to be measured
Vehicle in terminal send traveling data.
The implementation of S101 is identical in S201 embodiment corresponding with Fig. 1 in the present embodiment, specifically refers to
The associated description of S101 in the corresponding embodiment of Fig. 1, details are not described herein.
S202: the data that preset requirement is not met in the vehicle flowrate data and the traveling data are deleted.
In the vehicle flowrate data and section to be measured for passing through while obtaining the section to be measured of road monitoring apparatus transmission
After the traveling data of vehicle termination, since the data acquisition target of various devices is numerous, vehicle traveling data and vehicle flowrate number
There is also the data informations of many types in, and therefore, data volume obtained in step S201 is larger and data type is more,
It is then likely to occur more redundant data, these data do not have great use, if being added in the calculating of congestion coefficient,
It may influence the judging result of entire congestion situation.Therefore in the present solution, judgement does not meet preset requirement according to preset requirement
Data, and it is deleted.
After getting section data, the segment data that can satisfy the need is cleaned, with guarantee data consistency, effectively
Property, reasonability.Each parameter has certain value range, such as car speed, and maximum value is no more than place road
Limit speed, minimum value 0.If the car speed of the sample data of processing has exceeded this range, it may be considered that the sample
Notebook data is abnormal data, needs to delete or correct.The speed of negative value is apparent mistake, can use 0 in data handling
Instead of these negative values.Therefore, threshold detection method is exactly to determine parameter according to statistical law to the single traffic information of acquisition
Bound, and as benchmark, if traffic information not in the range, determines the traffic information for exception information.Algorithm
Think that traffic flow parameter value is certain in a reasonable range in specific time interval.According to this rule, can sentence
The fixed traffic parameter not within the scope of this is incorrect data.
Further, may include: in step S202
S2021: the data for not meeting the preset requirement for exercising duration are deleted；It is described to exercise the default of duration
It is required that are as follows:Wherein, t (s) is for indicating the enforcement duration；CtFor indicating described
The traveling duration correction factor of vehicle in section to be measured；leWhen for indicating the average waiting of vehicle in the section to be measured
It is long, τmaxFor indicating red signal duration in the section to be measured or in the delay duration of intersection；cmaxFor indicating
The passage coefficient in the section to be measured；vmaxFor indicating the vehicle maximum travelling speed on the preset section to be measured.
In the present embodiment, preset data include but is not limited to the traveling time scale modification system of the vehicle in section to be measured
Red signal duration in section several, to be measured or the passage coefficient, described to be measured in the delay duration of intersection, section to be measured
Vehicle maximum travelling speed on section.Wherein, the traveling duration correction factor of the vehicle in section to be measured is used for getting
Vehicle exercise duration be modified, reduce exercise duration calculating error；Red signal duration in section to be measured is used for table
Before showing according to the red lights of the traffic lights in the section to be measured, green light, the holding duration of amber light, the delay duration of intersection
The default or estimation of delay duration of the data to vehicle on section to be measured, the passage coefficient in section to be measured are used to indicate current
The load traffic capacity on the moment section；Vehicle maximum travelling speed on section to be measured is the maximum limit on the section
Speed.By according to above default value, and vehicle in vehicle passes through in current section to be measured enforcement duration, section to be measured
Average waiting duration calculation current road segment on enforcement duration upper limit value and lower limit value.According to the upper limit value calculated and
Lower limit value screens the data got, determines and is more than or equal to the lower limit value, and is less than or equal to the upper limit
The enforcement duration of value exercises duration as reasonable, and is put into the calculating of congestion parameter.
S2022: the data for not meeting the preset requirement of the instantaneous velocity are deleted；The instantaneous velocity is preset
It is required that are as follows: 0≤vd≤cv·vmax；Wherein, vdFor indicating the instantaneous velocity, cvFor indicating the vehicle in the section to be measured
Speed correction factor.
In the present embodiment, car speed correction factor passes through for being modified to the vehicle instantaneous velocity got
Car speed correction factor and the maximum upper limit exercised speedometer and calculate vehicle instantaneous velocity, the vehicle that will be greater than the upper limit are instantaneous
Speed is deleted, and normal vehicle running velocity is obtained.Pass through the running time of a vehicle will acquire on certain section of road
It is deleted according to the road conditions of present road, guarantees the reliability of running time.
S203: according to the default road information of the vehicle flowrate data and the section to be measured, the section to be measured is calculated
Vehicle closeness.
According to vehicle flowrate data, vehicle application data and the site of road data in the data of section, wherein site of road
Data include the data such as road number, longitude and latitude.Each in the corresponding section of each road number is calculated according to these data
The transit time and wagon flow metric density of vehicle, to determine whether current road segment is congestion section.It is obtained by each monitoring device
The vehicle flowrate data arrived, determine current time, the vehicle fleet size n on the preset unit length sectionu, to determine current time
Vehicle concentration: pu=nu/du。
Execution synchronous with step S203, further include step S204:
S204: it according to the default road information of the traveling data and the section to be measured, calculates the vehicle and passes through institute
Passage duration needed for stating section to be measured.
While calculating vehicle closeness, according to the present speed v in vehicle application datad, calculate in preset list
Bit length duSection on passage duration: tu=du/vd。
It should be noted that needing to monitor different in width, length and different shape in the present embodiment, in monitoring system
Road, in order to guarantee uniformity that road information compares, during calculating instant running time in preset unit length, in advance
If length immobilize.
S205: pass through formula Ju=α tu+βpuCalculate the congestion coefficient in the section to be measured；Wherein, α, β are for indicating logical
The adjusting parameter of row time and concentration；pu、tuIt is respectively used to indicate the vehicle concentration and the current duration.
According to vehicle flowrate data, vehicle application data and the site of road data in the data of section, wherein site of road
Data include the data such as road number, longitude and latitude.Each in the corresponding section of each road number is calculated according to these data
The transit time and wagon flow metric density of vehicle, to determine whether current road segment is congestion section.According to transit time and intensive journey
Spend the congestion coefficient for determining current road segment are as follows:
Ju=α tu+βpu=α du/vd+βnu/du；
Wherein, α, β are used to indicate the adjusting parameter of transit time and concentration.It, will after calculating congestion coefficient
The coefficient is compared with preset congestion threshold, if congestion coefficient is more than or equal to congestion threshold, it is determined that current road segment
For congestion section.
S206: determine whether the section to be measured is congestion section according to the congestion coefficient and preset congestion threshold.
The implementation of S103 is identical in S206 embodiment corresponding with Fig. 1 in the present embodiment, specifically refers to
The associated description of S103 in the corresponding embodiment of Fig. 1, details are not described herein.
After step S206, can also include:
If the section to be measured is the congestion section, according to the vehicle application data and the vehicle flowrate data into
Row prediction obtains the congestion duration in the section to be measured and the section mark in congestion section；
The section in the congestion duration and the congestion section is identified to the terminal being sent in the vehicle.
Specifically, after judging that current road segment is congestion section, according to vehicle flowrate data and vehicle application data, meter
The average speed within preset time period is calculated, and is identified according to the section in the average speed prediction congestion duration and congestion section,
Then the section in the congestion duration and the congestion section is identified to the terminal being sent in the vehicle.Judging congestion
After section, administrative staff is reminded out to avoid areas of congestion, allows driver according to current congestion situation or other sections
Congestion situation determines suitable travelling route, guarantees the efficiency of traffic trip；Traffic can also be formulated for Traffic Administration Bureau researcher
Rule provides foundation, such as replaces share-car road etc. with the lane in which the drivers should pay fees；Congestion data can also be supplied to city planning design people
Member, suitably increases section etc. to planning and designing urban transportation route, such as in frequent congestion location；It can also be by congestion data
It is supplied to civil engineer, to planning and designing construction region, such as how short-term construction influences traffic.
Illustratively, predicting transit time can be by the way of time series.Specifically, being to count certain
The numerical value of index, is in chronological sequence sequentially discharged to and is formed by ordered series of numbers.Time series is exactly the Vehicle Speed that will acquire,
It is in chronological sequence sequentially discharged to and is formed by ordered series of numbers.By establishment and analysis time sequence, reflected according to time series
Development process, direction and trend, analogized or extended, so as to the level that is likely to be breached for a period of time under prediction, and worked as
The Persistent Congestion time of preceding congestion state.
Above scheme, by passing through the default road information according to the vehicle flowrate data and the section to be measured got,
Calculate the vehicle closeness in section to be measured；According to the default road information of the traveling data and section to be measured that get, vehicle is calculated
By passage duration needed for section to be measured, vehicle closeness and the current duration are combined and calculate section to be measured
Congestion coefficient finally determines whether section to be measured is congestion section according to congestion coefficient and preset congestion threshold.And in determination
Congestion duration and congestion section mark are predicted after congestion section, while these congestion informations being sent to the vehicle in corresponding road section
Terminal guarantees the effect of traffic trip so that driver can determine suitable travelling route according to current section congestion situation
Rate.This programme carries out Conjoint Analysis and prediction by obtaining road data in real time, is guaranteeing that different kinds of roads traffic can be coped with
In the case where random time, improve road congestion situation prediction accuracy, it is ensured that control of traffic and road regulation uniformity and
Real-time.
It is a kind of schematic diagram for server that the embodiment of the present invention three provides referring to Fig. 3, Fig. 3.Each list that server includes
Member is for executing each step in the corresponding embodiment of FIG. 1 to FIG. 2.Referring specifically in the corresponding embodiment of FIG. 1 to FIG. 2
Associated description.For ease of description, only the parts related to this embodiment are shown.The server 300 of the present embodiment includes:
Acquiring unit 301, the vehicle flowrate data in the section to be measured for obtaining road monitoring apparatus transmission, and it is in institute
State the traveling data that the terminal in the vehicle in section to be measured is sent；
Computing unit 302, for according to the default of the vehicle flowrate data, the traveling data and the section to be measured
Road information calculates the congestion coefficient in the section to be measured；
Judging unit 303, for whether determining the section to be measured according to the congestion coefficient and preset congestion threshold
For congestion section.
Further, the server 300 can also include:
Unit is deleted, the vehicle flowrate data in the section to be measured for obtaining road monitoring apparatus transmission, and in described
After the traveling data that terminal in the vehicle in section to be measured is sent, to not being inconsistent in the vehicle flowrate data and the traveling data
The data for closing preset requirement are deleted.
Further, the unit of deleting may include:
The data for not meeting the preset requirement for exercising duration are deleted；The preset requirement for exercising duration
Are as follows:Wherein, t (s) is for indicating the enforcement duration；CtFor indicating described to be measured
The traveling duration correction factor of vehicle in section；leFor indicating the average waiting duration of vehicle in the section to be measured, τmax
For indicating red signal duration in the section to be measured or in the delay duration of intersection；cmaxFor indicate it is described to
Survey the passage coefficient in section；vmaxFor indicating the vehicle maximum travelling speed on the preset section to be measured；
The data for not meeting the preset requirement of the instantaneous velocity are deleted；The preset requirement of the instantaneous velocity
Are as follows: 0≤vd≤cv·vmax；Wherein, vdFor indicating the instantaneous velocity, cvFor indicating the speed of the vehicle in the section to be measured
Spend correction factor.
Further, the computing unit 302 can also include:
Closeness computing unit, for the default road information according to the vehicle flowrate data and the section to be measured, meter
Calculate the vehicle closeness in the section to be measured；
Current duration calculation unit, for the default road information according to the traveling data and the section to be measured, meter
It calculates the vehicle and passes through passage duration needed for the section to be measured；
Congestion coefficient calculation unit, for passing through formula Ju=α tu+βpuCalculate the congestion coefficient in the section to be measured；Its
In, α, β are used to indicate the adjusting parameter of transit time and concentration；pu、tuBe respectively used to indicate the vehicle concentration and
The current duration.
Further, the server 300 can also include:
Duration prediction unit judges the section to be measured according to the congestion coefficient and preset congestion threshold for described
After whether being congestion section, if the section to be measured is the congestion section, according to vehicle application data and described
Vehicle flowrate data are predicted, the congestion duration in the section to be measured and the section mark in congestion section are obtained；
Message sending unit, for the section in the congestion duration and congestion section mark to be sent to the vehicle
In terminal.
Above scheme, the vehicle flowrate data in the section to be measured by obtaining road monitoring apparatus transmission, and in be measured
The traveling data that terminal in the vehicle in section is sent；According to vehicle flowrate data, traveling data and the default road in section to be measured
Road information calculates the congestion coefficient in section to be measured；According to congestion coefficient and preset congestion threshold determine section to be measured whether be
Congestion section.The vehicle in vehicle flowrate data and section to be measured by obtaining the section to be measured of road monitoring apparatus transmission simultaneously
The traveling data of terminal, and combined according to vehicle flowrate data and traveling data and congestion coefficient is calculated, to pass through congestion system
Number judges whether current road segment occurs congestion, improves the accuracy and integrality of road congestion judgement, and the road after being is handed over
Siphunculus control provides good data basis.
Fig. 4 is the schematic diagram for the server that the embodiment of the present invention four provides.As shown in figure 4, the server 4 of the embodiment wraps
It includes: processor 40, memory 41 and being stored in the computer that can be run in the memory 41 and on the processor 40
Program 42.The processor 40 realizes the step in above-mentioned road traffic prediction technique embodiment when executing the computer program 42
Suddenly, such as step 101 shown in FIG. 1 is to 103.Alternatively, the processor 40 realized when executing the computer program 42 it is above-mentioned
The function of each module/unit in each Installation practice, such as the function of unit 301 to 303 shown in Fig. 3.
Illustratively, the computer program 42 can be divided into one or more module/units, it is one or
Multiple module/units are stored in the memory 41, and are executed by the processor 40, to complete the present invention.Described one
A or multiple module/units can be the series of computation machine program instruction section that can complete specific function, which is used for
Implementation procedure of the computer program 42 in the server 4 is described.
The server 4 can be desktop PC, notebook, palm PC and cloud server etc. and calculate equipment.
The server may include, but be not limited only to, processor 40, memory 41.It will be understood by those skilled in the art that Fig. 4 is only
It is the example of server 4, does not constitute the restriction to server 4, may include than illustrating more or fewer components or group
Close certain components or different components, for example, the server can also include input-output equipment, network access equipment,
Bus etc..
Alleged processor 40 can be central processing unit (Central Processing Unit, CPU), can also be
Other general processors, digital signal processor (Digital Signal Processor, DSP), specific integrated circuit
(Application Specific Integrated Circuit, ASIC), ready-made programmable gate array (Field-
Programmable Gate Array, FPGA) either other programmable logic device, discrete gate or transistor logic,
Discrete hardware components etc..General processor can be microprocessor or the processor is also possible to any conventional processor
Deng.
The memory 41 can be the internal storage unit of the server 4, such as the hard disk or memory of server 4.
The memory 41 is also possible to the External memory equipment of the server 4, such as the plug-in type being equipped on the server 4 is hard
Disk, intelligent memory card (Smart Media Card, SMC), secure digital (Secure Digital, SD) card, flash card
(Flash Card, FC) etc..Further, the memory 41 can also both include the internal storage unit of the server 4
It also include External memory equipment.The memory 41 is for storing needed for the computer program and the server other
Program and data.The memory 41 can be also used for temporarily storing the data that has exported or will export.
It is apparent to those skilled in the art that for convenience of description and succinctly, only with above-mentioned each function
Can unit, module division progress for example, in practical application, can according to need and by above-mentioned function distribution by different
Functional unit, module are completed, i.e., the internal structure of described device is divided into different functional unit or module, more than completing
The all or part of function of description.Each functional unit in embodiment, module can integrate in one processing unit, can also
To be that each unit physically exists alone, can also be integrated in one unit with two or more units, it is above-mentioned integrated
Unit both can take the form of hardware realization, can also realize in the form of software functional units.In addition, each function list
Member, the specific name of module are also only for convenience of distinguishing each other, the protection scope being not intended to limit this application.Above system
The specific work process of middle unit, module, can refer to corresponding processes in the foregoing method embodiment, and details are not described herein.
In the above-described embodiments, it all emphasizes particularly on different fields to the description of each embodiment, is not described in detail or remembers in some embodiment
The part of load may refer to the associated description of other embodiments.
The unit as illustrated by the separation member may or may not be physically separated, aobvious as unit
The component shown may or may not be physical unit, it can and it is in one place, or may be distributed over multiple
In network unit.It can select some or all of unit therein according to the actual needs to realize the mesh of this embodiment scheme
's.
If the integrated module/unit be realized in the form of SFU software functional unit and as independent product sale or
In use, can store in a computer readable storage medium.Based on this understanding, the present invention realizes above-mentioned implementation
All or part of the process in example method, can also instruct relevant hardware to complete, the meter by computer program
Calculation machine program can be stored in a computer readable storage medium.
Embodiment described above is merely illustrative of the technical solution of the present invention, rather than its limitations；Although referring to aforementioned reality
Applying example, invention is explained in detail, those skilled in the art should understand that: it still can be to aforementioned each
Technical solution documented by embodiment is modified or equivalent replacement of some of the technical features；And these are modified
Or replacement, the spirit and scope for technical solution of various embodiments of the present invention that it does not separate the essence of the corresponding technical solution should all
It is included within protection scope of the present invention.
Claims (10)
1. a kind of road traffic prediction technique characterized by comprising
The vehicle flowrate data in the section to be measured that road monitoring apparatus is sent are obtained, and in the vehicle in the section to be measured
The traveling data that terminal is sent；
According to the default road information of the vehicle flowrate data, the traveling data and the section to be measured, calculate it is described to
Survey the congestion coefficient in section；
Determine whether the section to be measured is congestion section according to the congestion coefficient and preset congestion threshold.
2. road traffic prediction technique as described in claim 1, which is characterized in that described to obtain what road monitoring apparatus was sent
After the traveling data that terminal in the vehicle flowrate data in section to be measured, and the vehicle in the section to be measured is sent, also
Include:
The data that preset requirement is not met in the vehicle flowrate data and the traveling data are deleted.
3. road traffic prediction technique as claimed in claim 2, which is characterized in that include each institute in the vehicle flowrate data
Vehicle is stated by the traveling duration in the section to be measured, includes the instantaneous velocity of each vehicle in the traveling data；Institute
It states and the data for not meeting preset requirement in the vehicle flowrate data and the traveling data is deleted, comprising:
The data for not meeting the preset requirement for exercising duration are deleted；The preset requirement for exercising duration are as follows:Wherein, t (s) is for indicating the enforcement duration；CtFor indicating the section to be measured
In vehicle traveling duration correction factor；leFor indicating the average waiting duration of vehicle in the section to be measured, τmaxFor
Indicate the red signal duration in the section to be measured or the delay duration in intersection；cmaxFor indicating the road to be measured
The passage coefficient of section；vmaxFor indicating the vehicle maximum travelling speed on the preset section to be measured；
The data for not meeting the preset requirement of the instantaneous velocity are deleted；The preset requirement of the instantaneous velocity are as follows: 0≤
vd≤cv·vmax；Wherein, vdFor indicating the instantaneous velocity, cvFor indicating that the car speed in the section to be measured is corrected
Coefficient.
4. road traffic prediction technique as described in any one of claims 1-3, which is characterized in that described according to the vehicle flowrate
The default road information of data, the traveling data and the section to be measured calculates the congestion coefficient in the section to be measured, packet
It includes:
According to the default road information of the vehicle flowrate data and the section to be measured, the vehicle for calculating the section to be measured is intensive
Degree；
According to the default road information of the traveling data and the section to be measured, calculates the vehicle and pass through the section to be measured
Required passage duration；
Pass through formula Ju=α tu+βpuCalculate the congestion coefficient in the section to be measured；Wherein, α, β are for indicating transit time and close
The adjusting parameter of collection degree；pu、tuIt is respectively used to indicate the vehicle concentration and the current duration.
5. road traffic prediction technique as described in claim 1, which is characterized in that described according to the congestion coefficient and default
Congestion threshold determine whether the section to be measured is congestion section after, further includes:
If the section to be measured is the congestion section, carried out according to the vehicle application data and the vehicle flowrate data pre-
It surveys, obtains the congestion duration in the section to be measured and the section mark in congestion section；
The section in the congestion duration and the congestion section is identified to the terminal being sent in the vehicle.
6. a kind of server, which is characterized in that including memory and processor, being stored in the memory can be at the place
The computer program run on reason device, which is characterized in that when the processor executes the computer program, realize following step
It is rapid:
The vehicle flowrate data in the section to be measured that road monitoring apparatus is sent are obtained, and in the vehicle in the section to be measured
The traveling data that terminal is sent；
According to the default road information of the vehicle flowrate data, the traveling data and the section to be measured, calculate it is described to
Survey the congestion coefficient in section；
Determine whether the section to be measured is congestion section according to the congestion coefficient and preset congestion threshold.
7. server as claimed in claim 6, which is characterized in that the section to be measured for obtaining road monitoring apparatus transmission
After the traveling data that terminal in vehicle flowrate data, and the vehicle in the section to be measured is sent, further includes:
The data that preset requirement is not met in the vehicle flowrate data and the traveling data are deleted.
8. server as claimed in claim 7, which is characterized in that include that each vehicle passes through in the vehicle flowrate data
The traveling duration in the section to be measured includes the instantaneous velocity of each vehicle in the traveling data；It is described to the vehicle
The data that preset requirement is not met in data on flows and the traveling data are deleted, comprising:
The data for not meeting the preset requirement for exercising duration are deleted；The preset requirement for exercising duration are as follows:Wherein, t (s) is for indicating the enforcement duration；CtFor indicating the section to be measured
In vehicle traveling duration correction factor；leFor indicating the average waiting duration of vehicle in the section to be measured, τmaxFor
Indicate the red signal duration in the section to be measured or the delay duration in intersection；cmaxFor indicating the road to be measured
The passage coefficient of section；vmaxFor indicating the vehicle maximum travelling speed on the preset section to be measured；
The data for not meeting the preset requirement of the instantaneous velocity are deleted；The preset requirement of the instantaneous velocity are as follows: 0≤
vd≤cv·vmax；Wherein, vdFor indicating the instantaneous velocity, cvFor indicating that the car speed in the section to be measured is corrected
Coefficient.
9. such as the described in any item servers of claim 6-8, which is characterized in that it is described according to the vehicle flowrate data, it is described
The default road information in traveling data and the section to be measured calculates the congestion coefficient in the section to be measured, comprising:
According to the default road information of the vehicle flowrate data and the section to be measured, the vehicle for calculating the section to be measured is intensive
Degree；
According to the default road information of the traveling data and the section to be measured, calculates the vehicle and pass through the section to be measured
Required passage duration；
Pass through formula Ju=α tu+βpuCalculate the congestion coefficient in the section to be measured；Wherein, α, β are for indicating transit time and close
The adjusting parameter of collection degree；pu、tuIt is respectively used to indicate the vehicle concentration and the current duration.
10. a kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In when the computer program is executed by processor the step of any one of such as claim 1 to 5 of realization the method.
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| CN201811181962.6A CN109360416A (en) | 2018-10-11 | 2018-10-11 | Road traffic prediction technique and server |
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| CN201811181962.6A CN109360416A (en) | 2018-10-11 | 2018-10-11 | Road traffic prediction technique and server |
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