CN107240254B - Traffic prediction technique and terminal device - Google Patents
Traffic prediction technique and terminal device Download PDFInfo
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- CN107240254B CN107240254B CN201710651821.5A CN201710651821A CN107240254B CN 107240254 B CN107240254 B CN 107240254B CN 201710651821 A CN201710651821 A CN 201710651821A CN 107240254 B CN107240254 B CN 107240254B
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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Abstract
The present invention is suitable for field of intelligent transportation technology, provides a kind of traffic prediction technique and terminal device, which comprises passes through the travelling data that bayonet system obtains prefixed time interval predeterminable area；The magnitude of traffic flow distribution map of predeterminable area is determined according to travelling data；The bayonet measurement data of prefixed time interval predeterminable area is obtained by bayonet system；The time required to determining vehicle by each crossing according to bayonet measurement data；According to magnitude of traffic flow distribution map, vehicle by the vehicle driving rule of each crossing required time and predeterminable area, the traffic condition at next each crossing of prefixed time interval predeterminable area is predicted；According to the driving of the traffic condition at next each crossing of prefixed time interval predeterminable area and target vehicle rule, the traffic condition at the target vehicle target crossing to be reached is predicted.The present invention provides urban road travelling prediction for traveler, facilitates traveler and selects suitable traffic route trip, saves the time, avoids that point congestion occurs.
Description
Technical field
The invention belongs to field of intelligent transportation technology more particularly to a kind of traffic prediction technique and terminal devices.
Background technique
With the rapid propulsion of urbanization process, people's living standard is increasingly improved, and Urban vehicles poputation rapidly increases
Long, bring urban road traffic congestion phenomenon is on the rise therewith.Causing traffic congestion, there are two reasons, first is that vehicle is more, two
It is that point congestion occurs, the two reasons complement each other, and aggravate congestion in road.It is more for vehicle, it is possible to reduce to lead to simultaneously on road
The quantity (such as restricting the number) of driving can also try to improve vehicle pass-through speed on road, reduce vehicle to road holding time,
Relatively reduce road vehicles quantity.Therefore, solving point congestion becomes the key for solving traffic congestion.Once point congestion occurs,
A series of chain reactions can occur therewith, increase urban traffic pressure, be unfavorable for people's trip.
Summary of the invention
In view of this, the embodiment of the invention provides a kind of traffic prediction technique and terminal devices, to urban road
Traffic is judged in time, is avoided that point congestion occurs, is alleviated urban traffic pressure.
The embodiment of the present invention in a first aspect, providing a kind of traffic prediction technique, comprising:
The travelling data of prefixed time interval predeterminable area is obtained by bayonet system；
The magnitude of traffic flow distribution map of the predeterminable area is determined according to the travelling data；
The bayonet measurement data of predeterminable area described in the prefixed time interval is obtained by the bayonet system；
The time required to determining vehicle by each crossing according to the bayonet measurement data；
The vehicle for passing through each crossing required time and the predeterminable area according to the magnitude of traffic flow distribution map, the vehicle
Driving rule, predict the traffic condition at each crossing of predeterminable area described in next prefixed time interval；
According to the driving of the traffic condition at each crossing of predeterminable area described in next prefixed time interval and target vehicle
Rule predicts the traffic condition at the target crossing that the target vehicle to be reached.
The second aspect of the embodiment of the present invention provides a kind of traffic prediction meanss, comprising:
Travelling data obtains module, for obtaining the travelling data of prefixed time interval predeterminable area by bayonet system；
Magnitude of traffic flow distribution map determining module, for determining the magnitude of traffic flow of the predeterminable area according to the travelling data
Distribution map；
Bayonet measurement data obtains module, presets described in the prefixed time interval for being obtained by the bayonet system
The bayonet measurement data in region；
Vehicle is by time determining module, needed for determining vehicle by each crossing according to the bayonet measurement data
Time；
First traffic condition predictions module, for passing through each crossing according to the magnitude of traffic flow distribution map, the vehicle
The vehicle driving of required time and predeterminable area rule, predicts each road of predeterminable area described in next prefixed time interval
The traffic condition of mouth；
Second traffic condition predictions module, for each crossing of the predeterminable area according to next prefixed time interval
The driving rule of traffic condition and target vehicle, predicts the traffic condition at the target crossing that the target vehicle to be reached.
The third aspect of the embodiment of the present invention provides a kind of traffic prediction terminal device, including memory, processing
Device and storage in the memory and the computer program that can run on the processor, described in the processor execution
The step of above-mentioned traffic prediction technique is realized when computer program.
The fourth aspect of the embodiment of the present invention provides a kind of computer readable storage medium, the computer-readable storage
Media storage has computer program, and the computer program realizes the step of above-mentioned traffic prediction technique when being executed by processor
Suddenly.
Existing beneficial effect is the embodiment of the present invention compared with prior art: traffic of embodiment of the present invention prediction side
Method and terminal device obtain the travelling data of prefixed time interval predeterminable area by bayonet system, are determined according to travelling data
The magnitude of traffic flow distribution map of predeterminable area；The bayonet measurement data of prefixed time interval predeterminable area is obtained by bayonet system,
The time required to determining vehicle by each crossing according to bayonet measurement data；It is further logical according to magnitude of traffic flow distribution map, vehicle
The time required to crossing each crossing and the vehicle driving of predeterminable area is regular, predicts that next prefixed time interval predeterminable area is each
The traffic condition at crossing；Finally according to the traffic condition and target vehicle at next each crossing of prefixed time interval predeterminable area
Driving rule, predict the target vehicle target crossing to be reached traffic condition, for traveler provide urban road travelling in advance
It surveys, facilitates traveler and select suitable traffic route trip, save the time, avoid that point congestion occurs, it is logical to improve existing road
Line efficiency, road improvement congestion slow down urban traffic jam, and it is horizontal to improve urban highway traffic integrated management.
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 traffic prediction technique flow chart that the embodiment of the present invention one provides；
Fig. 2 is provided by Embodiment 2 of the present invention based on traffic prediction side in one specific example of method shown in Fig. 1
Method flow chart；
Fig. 3 is the schematic diagram for the traffic prediction meanss that the embodiment of the present invention three provides；
Fig. 4 is the schematic diagram for the traffic prediction terminal device 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.
Embodiment one
Fig. 1 shows the implementation process of the traffic prediction technique of the offer of the embodiment of the present invention one, and details are as follows:
Step S101 obtains the travelling data of prefixed time interval predeterminable area by bayonet system.
Here, bayonet system can obtain the passage data of vehicle, identify to vehicle, record to vehicle image
Deng.Bayonet system can be laid out according to the actual situation, and general layout reticulates deployment, really according to road network situation in turnpike road
The travelling data for all obtaining vehicle in every road is protected, is not omitted as far as possible.
Prefixed time interval and predeterminable area can according to need setting, such as prefixed time interval can be for yesterday sooner or later
Trip peak period, predeterminable area can be certain city's urban area.
Travelling data includes number of vehicles, the current direction etc. by bayonet, can also further obtain traffic APP here
User data, casualty data, road maintenance data, Floating Car acquisition data etc..
Step S102 determines the magnitude of traffic flow distribution map of the predeterminable area according to the travelling data.
Specifically, by the number of vehicles of bayonet, logical in the prefixed time interval predeterminable area obtained according to bayonet system
Line direction etc. determines the vehicle flowrate in each section of predeterminable area.
Step S103 is tested the speed number by the bayonet that the bayonet system obtains predeterminable area described in the prefixed time interval
According to.
Here, bayonet, which tests the speed, detects the most fast or strongest vehicle of echo using doppler principle, realizes to road vehicle
The real-time detection of speed provides required traffic information to implement intelligent traffic administration system.
Step S104, the time required to determining vehicle by each crossing according to the bayonet measurement data.
Specifically, due to the physical location of bayonet point be it is determining, the distance between different bayonets be also it is determining,
After obtaining bayonet measurement data, so that it may calculate transit time of the vehicle between two bayonets, it is general between two bayonets
In the case of further comprise a crossing, thus can relatively accurate prediction vehicle pass through time at each crossing.
Step S105, it is the time required to passing through each crossing according to the magnitude of traffic flow distribution map, the vehicle and described pre-
If the vehicle driving rule in region, predicts the traffic condition at each crossing of predeterminable area described in next prefixed time interval.
Here, the driving rule of all vehicles of predeterminable area is analyzed, and the driving rule that analysis obtains all is put into
In traffic.The principle of road condition predicting: according to magnitude of traffic flow distribution map, vehicle by each crossing required time, and in advance
If the traveling rule of region each car, predicts these vehicle present positions of next prefixed time interval, and which can be predicted
A little vehicles are added and which vehicle leaves, the predicting road conditions state after forming a prefixed time interval, and so on, with this
The state of prediction does basis, carries out next round prediction according to driving rule.Such as yesterday can be acquired by bayonet system sooner or later
The travelling data in trip peak period city urban district, determines the magnitude of traffic flow distribution map in certain city urban district, further determines that vehicle passes through
The time required to each crossing, each crossing required time and preset areas are passed through according to the magnitude of traffic flow distribution map of yesterday, vehicle
The traveling rule of domain each car, predicts the traffic condition at each crossing of predeterminable area today.
Step S106, according to the traffic condition and target carriage at each crossing of predeterminable area described in next prefixed time interval
Driving rule, predict the traffic condition at the target crossing that the target vehicle to be reached.
Specifically, target vehicle is any vehicle by predeterminable area, and target crossing is in target vehicle traffic route
Any one or more crossings.
The driving rule of target vehicle determines in the following manner:
Identity and running time using bayonet system acquisition a period of time by the target vehicle of predeterminable area, root
Identity and running time according to the target vehicle of identification determine that the driving rule of target vehicle, the driving rule include
Point, terminal, arrival time, traffic route, congestion preference bypass route, parking position, drives preference (lane, vehicle at the departure time
Speed, following distance) etc..Above-mentioned acquisition time is arranged according to the actual situation, such as can be peak period of going on a journey sooner or later yesterday.
Traffic condition according to the driving of target vehicle rule, from next each crossing of prefixed time interval predeterminable area
The middle traffic condition obtained when target vehicle reaches next or several crossings.
It is evidenced from the above discussion that traffic prediction technique of the embodiment of the present invention, predicts the target vehicle target to be reached
The traffic condition at crossing provides urban road travelling prediction for traveler, facilitates traveler and suitable traffic route is selected to go out
Row saves the time, avoids that point congestion occurs, improves existing road traffic efficiency, road improvement congestion slows down urban transportation
It is horizontal to improve urban highway traffic integrated management for congestion phenomenon.
In addition, the vehicle driving rule of the predeterminable area determines in the following manner in a specific example:
The identity and driving of the vehicle of each bayonet of the predeterminable area are identified by using the bayonet system
Time；
According to the identity of the vehicle by each bayonet and running time, the vehicle of the predeterminable area is determined
Driving rule, the driving rule includes starting point, terminal, departure time, arrival time and traffic route.
Here, according to collected bayonet data, all passage rules by bayonet vehicle are analyzed, are each
Vehicle establishes regular data of driving a vehicle, including starting point, the departure time, terminal, arrival time, traffic route, congestion preference bypass route,
Parking position, driving preference (lane, speed, following distance) etc..The analysis of driving rule is the process of a continuous iteration,
By continuous iterative analysis, regular data relatively accurate and abundant are obtained.It should be noted that driving law-analysing is real-time
Property it is of less demanding, analysis once can satisfy requirement completely daily.
Specifically, the identity for passing through the vehicle of each bayonet of predeterminable area using bayonet system acquisition a period of time
And running time, here, acquisition time is arranged according to the actual situation, such as can be peak period of going on a journey sooner or later yesterday.
In addition, in a specific example, above-mentioned traffic prediction technique further include:
The traffic condition at the target crossing is sent to the voice broadcast equipment being arranged on the target vehicle, so that
The voice broadcast equipment broadcasts the traffic condition at the target crossing using voice broadcasting modes.
Here, information reminding is carried out based entirely on voice, checks that accident, Er Qiegen occur for mobile phone when driver being avoided to drive
According to next each crossing of prefixed time interval predeterminable area traffic condition predictions go out target vehicle to be reached behind one
The traffic in a or several sections, only publication real-time traffic associated with target vehicle traffic route, with strong points.
In addition, in a specific example, above-mentioned traffic prediction technique further include:
The traffic condition at each crossing of predeterminable area described in next prefixed time interval is sent to the integrated finger of Traffic Administration Bureau
Platform is waved, so that the Traffic Administration Bureau integrates each crossing of maneuvering platform predeterminable area according to next prefixed time interval
Traffic condition, the timing of adjustment signal lamp and/or increase congested link police strength commander.
Specifically, prediction result is sent to Traffic Administration Bureau and integrates maneuvering platform, maneuvering platform is integrated by Traffic Administration Bureau and is carried out
Traffic signal timing adjustment, increase congested link police strength commander etc., improve road efficiency, avoid that point congestion occurs.
In addition, in a specific example, above-mentioned traffic prediction technique further include:
The traffic condition at each crossing of predeterminable area described in next prefixed time interval is sent to roadside display screen, with
The roadside display screen is set to show the traffic condition at each crossing of predeterminable area described in next prefixed time interval.
Here it is possible to which prediction result is pushed to driver in such a way that radio station publication, roadside display screen shows etc. in real time, lead
It is dynamic to avoid congestion in road section, it is horizontal to improve urban highway traffic integrated management.
Embodiment two
The application of the above method in order to better understand, a traffic prediction technique of the present invention detailed below is real
Example.
As shown in Fig. 2, this application example may include:
Step S201 is identified by the identity and driving of the vehicle of each bayonet of predeterminable area using bayonet system
Time.
Step S202 determines the vehicle of predeterminable area according to the identity of the vehicle by each bayonet and running time
Driving rule.
Here, according to collected bayonet data, all passage rules by bayonet vehicle are analyzed, are each
Vehicle establishes regular data of driving a vehicle, including starting point, the departure time, terminal, arrival time, traffic route, congestion preference bypass route,
Parking position, driving preference (lane, speed, following distance) etc..The analysis of driving rule is the process of a continuous iteration,
By continuous iterative analysis, regular data relatively accurate and abundant are obtained.It should be noted that driving law-analysing is real-time
Property it is of less demanding, analysis once can satisfy requirement completely daily.
Specifically, the identity for passing through the vehicle of each bayonet of predeterminable area using bayonet system acquisition a period of time
And running time, here, acquisition time is arranged according to the actual situation, such as can be peak period of going on a journey sooner or later yesterday.
Step S203 obtains the travelling data of prefixed time interval predeterminable area by bayonet system.
Here, prefixed time interval and predeterminable area can according to need setting, such as prefixed time interval can be yesterday
Its peak period of going on a journey sooner or later, predeterminable area can be certain city's urban area.Travelling data includes by the number of vehicles of bayonet, logical
Line direction etc..
Step S204 determines the magnitude of traffic flow distribution map of predeterminable area according to above-mentioned travelling data.
Specifically, by the number of vehicles of bayonet, logical in the prefixed time interval predeterminable area obtained according to bayonet system
Line direction etc. determines the vehicle flowrate in each section of predeterminable area.
Step S205 obtains the bayonet measurement data of above-mentioned prefixed time interval predeterminable area by bayonet system.
Step S206, the time required to determining vehicle by each crossing according to above-mentioned bayonet measurement data.
Step S207, it is the time required to passing through each crossing according to above-mentioned magnitude of traffic flow distribution map, above-mentioned vehicle and above-mentioned pre-
If the vehicle driving rule in region, predicts the traffic condition at next each crossing of prefixed time interval predeterminable area.
Here, it the principle of road condition predicting: is taken according to above-mentioned magnitude of traffic flow distribution map, above-mentioned vehicle by each crossing
Between and above-mentioned predeterminable area each car traveling rule, predict these vehicle present positions of next prefixed time interval,
And can predict which vehicle is added and which vehicle leaves, the predicting road conditions state after forming a prefixed time interval, with
This analogizes, and does basis with the state that this is predicted, carries out next round prediction according to driving rule.
The traffic condition at next each crossing of prefixed time interval predeterminable area is sent to Traffic Administration Bureau's collection by step S208
At maneuvering platform, so that Traffic Administration Bureau integrates maneuvering platform according to the traffic at next each crossing of prefixed time interval predeterminable area
Situation, the timing of adjustment signal lamp and/or increase congested link police strength commander.
The traffic condition at next each crossing of prefixed time interval predeterminable area is sent to roadside and shown by step S209
Screen, so that roadside display screen shows the traffic condition at next each crossing of prefixed time interval predeterminable area.
Specifically, prediction result can be pushed to driver in such a way that radio station publication, roadside display screen are shown etc. in real time.
Step S210, according to the traffic condition and target carriage at each crossing of predeterminable area described in next prefixed time interval
Driving rule, predict the target vehicle target crossing to be reached traffic condition.
Here, target vehicle is any vehicle by predeterminable area, and target crossing is in target vehicle traffic route
Any one or more crossings.
The driving rule of target vehicle determines in the following manner:
Identity and running time using bayonet system acquisition a period of time by the target vehicle of predeterminable area, root
Identity and running time according to the target vehicle of identification determine the driving rule of target vehicle.
Traffic condition according to the driving of target vehicle rule, from next each crossing of prefixed time interval predeterminable area
The middle traffic condition obtained when target vehicle reaches next or several crossings.
The traffic condition at above-mentioned target crossing is sent to the voice broadcast being arranged on target vehicle and set by step S211
It is standby, so that the voice broadcast equipment broadcasts the traffic condition at above-mentioned target crossing using voice broadcasting modes.
It is evidenced from the above discussion that prediction result is sent to Traffic Administration Bureau by the present embodiment integrates maneuvering platform, pass through Traffic Administration Bureau
Integrated maneuvering platform carries out traffic signal timing adjustment, increase congested link police strength commander etc., improves road efficiency, avoids sending out
Raw point congestion；Prediction result is pushed to driver in such a way that radio station publication, roadside display screen are shown etc. in real time, is actively avoided
It is horizontal to improve urban highway traffic integrated management for road congested link；Traffic condition prompting is carried out based on voice, driver is avoided to open
It checks that accident occurs for mobile phone when vehicle, and only issues real-time traffic associated with target vehicle traffic route, specific aim
By force.
It should be understood that the size of the serial number of each step is not meant that the order of the execution order in above-described embodiment, each process
Execution sequence should be determined by its function and internal logic, the implementation process without coping with the embodiment of the present invention constitutes any limit
It is fixed.
Embodiment three
Corresponding to traffic prediction technique described in foregoing embodiments, Fig. 3 shows friendship provided in an embodiment of the present invention
The structural block diagram of access condition prediction meanss, for ease of description, only the parts related to this embodiment are shown.
Referring to Fig. 3, which includes that travelling data obtains module 301, magnitude of traffic flow distribution map determining module 302, bayonet
Measurement data obtains module 303, vehicle passes through time determining module 304, the first traffic condition predictions module 305 and the second traffic
Condition predicting module 306.
Travelling data obtains module 301, for obtaining the driving number of prefixed time interval predeterminable area by bayonet system
According to.
Here, bayonet system can be laid out according to the actual situation, and general layout is in turnpike road, according to road network situation, at
Netted deployment, it is ensured that the travelling data that vehicle is all obtained in every road is not omitted as far as possible.Prefixed time interval and predeterminable area
It can according to need setting, such as prefixed time interval can be peak period of going on a journey sooner or later yesterday, predeterminable area can be certain city
Urban area.Travelling data includes number of vehicles, the current direction etc. by bayonet.
Magnitude of traffic flow distribution map determining module 302, for determining the traffic of the predeterminable area according to the travelling data
Profile of flowrate.
Bayonet measurement data obtains module 303, for being obtained described in the prefixed time interval by the bayonet system
The bayonet measurement data of predeterminable area.
Vehicle is by time determining module 304, for determining that vehicle passes through each crossing according to the bayonet measurement data
Required time.
First traffic condition predictions module 305, for passing through each road according to the magnitude of traffic flow distribution map, the vehicle
The time required to mouthful and the vehicle driving of the predeterminable area is regular, predicts that predeterminable area described in next prefixed time interval is each
The traffic condition at crossing.
Specifically, the driving rule of all vehicles of predeterminable area is analyzed, and the driving rule that analysis obtains all is put into
Into traffic.The principle of road condition predicting: according to magnitude of traffic flow distribution map, vehicle by each crossing required time, and
The traveling rule of predeterminable area each car, predicts these vehicle present positions of next prefixed time interval, and can predict
Which vehicle is added and which vehicle leaves, the predicting road conditions state after forming a prefixed time interval, and so on, with this
The state of a prediction does basis, carries out next round prediction according to driving rule.Such as morning yesterday can be acquired by bayonet system
The travelling data in evening trip peak period city urban district, determines the magnitude of traffic flow distribution map in certain city urban district, further determines that vehicle is logical
The time required to crossing each crossing, according to the magnitude of traffic flow distribution map of yesterday, vehicle is by each crossing required time, and presets
The traveling rule of region each car, predicts the traffic condition at each crossing of predeterminable area today.
Second traffic condition predictions module 306 is used for each road of the predeterminable area according to next prefixed time interval
The traffic condition of mouth and the driving rule of target vehicle, predict the traffic condition at the target crossing that the target vehicle to be reached.
Here, target vehicle is any vehicle by predeterminable area, and target crossing is in target vehicle traffic route
Any one or more crossings.
The driving rule of target vehicle determines in the following manner:
Identity and running time using bayonet system acquisition a period of time by the target vehicle of predeterminable area, root
Identity and running time according to the target vehicle of identification determine that the driving rule of target vehicle, the driving rule include
Point, terminal, arrival time, traffic route, congestion preference bypass route, parking position, drives preference (lane, vehicle at the departure time
Speed, following distance) etc..Above-mentioned acquisition time is arranged according to the actual situation, such as can be peak period of going on a journey sooner or later yesterday.
Traffic condition according to the driving of target vehicle rule, from next each crossing of prefixed time interval predeterminable area
The middle traffic condition obtained when target vehicle reaches next or several crossings.
In addition, the vehicle driving rule of the predeterminable area determines in the following manner in a specific example:
The identity and driving of the vehicle of each bayonet of the predeterminable area are identified by using the bayonet system
Time；
According to the identity of the vehicle by each bayonet and running time, the vehicle of the predeterminable area is determined
Driving rule, the driving rule includes starting point, terminal, departure time, arrival time and traffic route.
Specifically, the identity for passing through the vehicle of each bayonet of predeterminable area using bayonet system acquisition a period of time
And running time, here, acquisition time is arranged according to the actual situation, such as can be peak period of going on a journey sooner or later yesterday.
As shown in figure 3, in a specific example, above-mentioned traffic prediction meanss further include:
Traffic condition sending module 307 is arranged for the traffic condition at the target crossing to be sent in the target
Voice broadcast equipment on vehicle, so that the voice broadcast equipment broadcasts the friendship at the target crossing using voice broadcasting modes
Logical situation.
As shown in figure 3, in a specific example, above-mentioned traffic prediction meanss further include:
First prediction result sending module 308 is used for each crossing of predeterminable area described in next prefixed time interval
Traffic condition be sent to Traffic Administration Bureau integrate maneuvering platform so that the Traffic Administration Bureau integrate maneuvering platform according to it is next default when
Between be spaced the traffic condition at each crossing of the predeterminable area, the timing of adjustment signal lamp and/or increase congested link police strength commander.
As shown in figure 3, in a specific example, above-mentioned traffic prediction meanss further include:
Second prediction result sending module 309 is used for each crossing of predeterminable area described in next prefixed time interval
Traffic condition be sent to roadside display screen so that the roadside display screen shows preset areas described in next prefixed time interval
The traffic condition at each crossing in domain.
It is evidenced from the above discussion that traffic prediction meanss of the embodiment of the present invention, predict the target vehicle target to be reached
The traffic condition at crossing provides urban road travelling prediction for traveler, facilitates traveler and suitable traffic route is selected to go out
Row saves the time, avoids that point congestion occurs, improves existing road traffic efficiency, road improvement congestion slows down urban transportation
It is horizontal to improve urban highway traffic integrated management for congestion phenomenon.
Example IV
Fig. 4 is the schematic diagram for the traffic prediction terminal device that the embodiment of the present invention four provides.As shown in figure 4, the reality
The Self-help ordering terminal device 4 for applying example includes: processor 401, memory 402 and is stored in the memory 402 and can
The computer program 403 run on the processor 401.The realization when processor 401 executes the computer program 403
Step in above-mentioned each traffic prediction technique embodiment, such as step 101 shown in FIG. 1 is to 106.Alternatively, the place
Reason device 401 realizes the function of each module in above-mentioned each Installation practice when executing the computer program 403, such as shown in Fig. 3
The function of module 301 to 309.
Illustratively, the computer program 403 can be divided into one or more module/units, it is one or
Multiple module/the units of person are stored in the memory 402, and are executed by the processor 401, to complete the present invention.Institute
Stating one or more module/units can be the series of computation machine program instruction section that can complete specific function, the instruction segment
For describing implementation procedure of the computer program 403 in traffic prediction terminal device 4.For example, the meter
Calculation machine program 403 can be divided into synchronization module, summarizing module, obtain module, return module (module in virtual bench),
Each module concrete function is as follows:
The travelling data of prefixed time interval predeterminable area is obtained by bayonet system；
The magnitude of traffic flow distribution map of the predeterminable area is determined according to the travelling data；
The bayonet measurement data of predeterminable area described in the prefixed time interval is obtained by the bayonet system；
The time required to determining vehicle by each crossing according to the bayonet measurement data；
The vehicle for passing through each crossing required time and the predeterminable area according to the magnitude of traffic flow distribution map, the vehicle
Driving rule, predict the traffic condition at each crossing of predeterminable area described in next prefixed time interval；
According to the driving of the traffic condition at each crossing of predeterminable area described in next prefixed time interval and target vehicle
Rule predicts the traffic condition at the target crossing that the target vehicle to be reached.
Optionally, the vehicle driving rule of the predeterminable area determines in the following manner:
The identity and driving of the vehicle of each bayonet of the predeterminable area are identified by using the bayonet system
Time；
According to the identity of the vehicle by each bayonet and running time, the vehicle of the predeterminable area is determined
Driving rule, the driving rule includes starting point, terminal, departure time, arrival time and traffic route.
Optionally, the traffic condition at the target crossing voice broadcast being arranged on the target vehicle is sent to set
It is standby, so that the voice broadcast equipment broadcasts the traffic condition at the target crossing using voice broadcasting modes.
Optionally, further includes:
The traffic condition at each crossing of predeterminable area described in next prefixed time interval is sent to the integrated finger of Traffic Administration Bureau
Platform is waved, so that the Traffic Administration Bureau integrates each crossing of maneuvering platform predeterminable area according to next prefixed time interval
Traffic condition, the timing of adjustment signal lamp and/or increase congested link police strength commander.
Optionally, further includes:
The traffic condition at each crossing of predeterminable area described in next prefixed time interval is sent to roadside display screen, with
The roadside display screen is set to show the traffic condition at each crossing of predeterminable area described in next prefixed time interval.
The traffic prediction terminal device 4 can be desktop PC, notebook, palm PC and cloud service
Device etc. calculates equipment.The traffic prediction terminal device may include, but be not limited only to, processor 401, memory 402.This
Field technical staff is appreciated that Fig. 4 is only the example of traffic prediction terminal device 4, does not constitute to traffic
The restriction for predicting terminal device 4 may include perhaps combining certain components or difference than illustrating more or fewer components
Component, such as the Self-help ordering terminal device can also include input-output equipment, network access equipment, bus etc..
Alleged processor 401 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 402 can be the internal storage unit of the traffic prediction terminal device 4, such as traffic road
The hard disk or memory of condition prediction terminal device 4.The memory 402 is also possible to the traffic prediction terminal device 4
The plug-in type hard disk being equipped on External memory equipment, such as traffic prediction terminal device 4, intelligent memory card (Smart
Media Card, SMC), secure digital (Secure Digital, SD) card, flash card (Flash Card) etc..Further,
The memory 402 can also both include the internal storage unit of traffic prediction terminal device 4 or deposit including outside
Store up equipment.The memory 402 is for storing needed for the computer program and traffic prediction terminal device
Other programs and data.The memory 402 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.
Those of ordinary skill in the art may be aware that list described in conjunction with the examples disclosed in the embodiments of the present disclosure
Member and algorithm steps can be realized with the combination of electronic hardware or computer software and electronic hardware.These functions are actually
It is implemented in hardware or software, the specific application and design constraint depending on technical solution.Professional technician
Each specific application can be used different methods to achieve the described function, but this realization is it is not considered that exceed
The scope of the present invention.
In embodiment provided by the present invention, it should be understood that disclosed device/terminal device and method, it can be with
It realizes by another way.For example, device described above/terminal device embodiment is only schematical, for example, institute
The division of module or unit is stated, only a kind of logical function partition, there may be another division manner in actual implementation, such as
Multiple units or components can be combined or can be integrated into another system, or some features can be ignored or not executed.Separately
A bit, shown or discussed mutual coupling or direct-coupling or communication connection can be through some interfaces, device
Or the INDIRECT COUPLING or communication connection of unit, it can be electrical property, mechanical or other forms.
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.
It, can also be in addition, the functional units in various embodiments of the present invention may be integrated into one processing unit
It is that each unit physically exists alone, can also be integrated in one unit with two or more units.Above-mentioned integrated list
Member both can take the form of hardware realization, can also realize in the form of software functional units.
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, the computer program when being executed by processor, it can be achieved that on
The step of stating each embodiment of the method.Wherein, the computer program includes computer program code, the computer program generation
Code can be source code form, object identification code form, executable file or certain intermediate forms etc..The computer-readable medium
It may include: any entity or device, recording medium, USB flash disk, mobile hard disk, magnetic that can carry the computer program code
Dish, CD, computer storage, read-only memory (ROM, Read-Only Memory), random access memory (RAM,
Random Access Memory), electric carrier signal, telecommunication signal and software distribution medium etc..It should be noted that described
The content that computer-readable medium includes can carry out increasing appropriate according to the requirement made laws in jurisdiction with patent practice
Subtract, such as in certain jurisdictions, according to legislation and patent practice, computer-readable medium do not include be electric carrier signal and
Telecommunication signal.
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 traffic prediction technique characterized by comprising
The travelling data of prefixed time interval predeterminable area is obtained by bayonet system；
The magnitude of traffic flow distribution map of the predeterminable area is determined according to the travelling data；
The bayonet measurement data of predeterminable area described in the prefixed time interval is obtained by the bayonet system；
The time required to determining vehicle by each crossing according to the bayonet measurement data；
The vehicle row for passing through each crossing required time and the predeterminable area according to the magnitude of traffic flow distribution map, the vehicle
Vehicle rule, predicts the traffic condition at each crossing of predeterminable area described in next prefixed time interval；Wherein, according to collected
Bayonet data establish the driving rule data of each car by iterative analysis；
It is regular according to the driving of the traffic condition at each crossing of predeterminable area described in next prefixed time interval and target vehicle,
Predict the traffic condition at the target crossing that the target vehicle to be reached.
2. traffic prediction technique according to claim 1, which is characterized in that the vehicle driving of the predeterminable area is advised
Rule determines in the following manner:
Identity and the running time of the vehicle of each bayonet of the predeterminable area are identified by using the bayonet system；
According to the identity of the vehicle by each bayonet and running time, the vehicle driving of the predeterminable area is determined
Rule, the driving rule includes starting point, terminal, departure time, arrival time and traffic route.
3. traffic prediction technique according to claim 1, which is characterized in that further include:
The traffic condition at the target crossing is sent to the voice broadcast equipment being arranged on the target vehicle, so that described
Voice broadcast equipment broadcasts the traffic condition at the target crossing using voice broadcasting modes.
4. traffic prediction technique according to claim 1, which is characterized in that further include:
It is flat that the traffic condition at each crossing of predeterminable area described in next prefixed time interval is sent to the integrated commander of Traffic Administration Bureau
Platform, so that the Traffic Administration Bureau integrates the traffic at each crossing of maneuvering platform predeterminable area according to next prefixed time interval
Situation, the timing of adjustment signal lamp and/or increase congested link police strength commander.
5. traffic prediction technique according to claim 1, which is characterized in that further include:
The traffic condition at each crossing of predeterminable area described in next prefixed time interval is sent to roadside display screen, so that institute
State the traffic condition that roadside display screen shows each crossing of predeterminable area described in next prefixed time interval.
6. a kind of traffic prediction meanss characterized by comprising
Travelling data obtains module, for obtaining the travelling data of prefixed time interval predeterminable area by bayonet system；
Magnitude of traffic flow distribution map determining module, for determining that the magnitude of traffic flow of the predeterminable area is distributed according to the travelling data
Figure；
Bayonet measurement data obtains module, for obtaining predeterminable area described in the prefixed time interval by the bayonet system
Bayonet measurement data；
Vehicle is by time determining module, for determining that vehicle is taken by each crossing according to the bayonet measurement data
Between；
First traffic condition predictions module, needed for passing through each crossing according to the magnitude of traffic flow distribution map, the vehicle
The vehicle driving of time and predeterminable area rule, predicts each crossing of predeterminable area described in next prefixed time interval
Traffic condition；Wherein, according to collected all history bayonet data and same day bayonet data by bayonet vehicle, iteration point
The driving rule data of each car are established in analysis；
Second traffic condition predictions module, the traffic for each crossing of the predeterminable area according to next prefixed time interval
The driving rule of situation and target vehicle, predicts the traffic condition at the target crossing that the target vehicle to be reached.
7. traffic prediction meanss according to claim 6, which is characterized in that the vehicle driving of the predeterminable area is advised
Rule determines in the following manner:
Identity and the running time of the vehicle of each bayonet of the predeterminable area are identified by using the bayonet system；
According to the identity of the vehicle by each bayonet and running time, the vehicle driving of the predeterminable area is determined
Rule, the driving rule includes starting point, terminal, departure time, arrival time and traffic route.
8. traffic prediction meanss according to claim 6, which is characterized in that further include:
Traffic condition sending module is arranged on the target vehicle for the traffic condition at the target crossing to be sent to
Voice broadcast equipment, so that the voice broadcast equipment broadcasts the traffic condition at the target crossing using voice broadcasting modes.
9. a kind of traffic predicts terminal device, including memory, processor and storage are in the memory and can be
The computer program run on the processor, which is characterized in that the processor realizes power when executing the computer program
Benefit require any one of 1 to 5 described in traffic prediction technique the step of.
10. kind of computer readable storage medium, the computer-readable recording medium storage has computer program, and feature exists
In the computer program realizes traffic prediction technique described in any one of claims 1 to 5 when being executed by processor
The step of.
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Families Citing this family (11)
| Publication number | Priority date | Publication date | Assignee | Title |
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| CN110444010B (en) * | 2018-05-02 | 2022-01-21 | 广州智丰设计研发有限公司 | Expressway traffic flow prediction method based on Internet of things |
| CN110444009B (en) * | 2018-05-02 | 2022-01-21 | 广州智丰设计研发有限公司 | Expressway traffic flow prediction system based on Internet of things |
| CN109003442B (en) * | 2018-06-22 | 2020-08-21 | 安徽科力信息产业有限责任公司 | Road delay time calculation and traffic jam situation determination method and system |
| CN108847042B (en) * | 2018-08-24 | 2021-04-02 | 讯飞智元信息科技有限公司 | Road condition information publishing method and device |
| CN110969275B (en) * | 2018-09-30 | 2024-01-23 | 杭州海康威视数字技术股份有限公司 | Traffic flow prediction method and device, readable storage medium and electronic equipment |
| CN109558980B (en) * | 2018-11-30 | 2023-04-18 | 平安科技（深圳）有限公司 | Scenic spot traffic data prediction method and device and computer equipment |
| CN109658697B (en) * | 2019-01-07 | 2021-09-24 | 平安科技（深圳）有限公司 | Traffic congestion prediction method and device and computer equipment |
| CN109816976A (en) * | 2019-01-21 | 2019-05-28 | 平安科技（深圳）有限公司 | A kind of traffic management method and system |
| CN109887283B (en) * | 2019-03-07 | 2021-01-26 | 东莞数汇大数据有限公司 | Road congestion prediction method, system and device based on checkpoint data |
| CN115762142B (en) * | 2022-11-02 | 2023-08-29 | 青岛以萨数据技术有限公司 | Bayonet flow prediction method, device, server and storage medium |
| CN116189417A (en) * | 2022-12-09 | 2023-05-30 | 北京百度网讯科技有限公司 | Traffic light scene road condition identification method and device, electronic equipment and storage medium |
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