CN101571997A - Method and device for fusion processing of multi-source traffic information - Google Patents
Method and device for fusion processing of multi-source traffic information Download PDFInfo
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- CN101571997A CN101571997A CNA2009100522867A CN200910052286A CN101571997A CN 101571997 A CN101571997 A CN 101571997A CN A2009100522867 A CNA2009100522867 A CN A2009100522867A CN 200910052286 A CN200910052286 A CN 200910052286A CN 101571997 A CN101571997 A CN 101571997A
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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
- G08G1/02—Detecting movement of traffic to be counted or controlled using treadles built into the road
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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
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0141—Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
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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
- G08G1/04—Detecting movement of traffic to be counted or controlled using optical or ultrasonic detectors
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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
- G08G1/042—Detecting movement of traffic to be counted or controlled using inductive or magnetic detectors
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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
- G08G1/048—Detecting movement of traffic to be counted or controlled with provision for compensation of environmental or other condition, e.g. snow, vehicle stopped at detector
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/052—Detecting movement of traffic to be counted or controlled with provision for determining speed or overspeed
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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 invention relates to a method for fusion processing of multi-source traffic information, which is characterized by comprising the following steps: (a) acquiring source data of a plurality of detection devices; (b) calibrating the source data; (c) performing data processing on the calibrated source data to obtain a parameter capable of singly reflecting the traffic state of a road section; (d) extracting the parameter with the required characteristic to obtain characteristic data; and (e) performing fusion processing on the characteristic data to obtain traffic state information of a road. Because different types of traffic data reflects part of the traffic state information, the method and the device fuse the multi-source traffic information so as to obtain more accurate traffic state information of the road section and an intersection for the convenience of issuing the traffic information, issuing convenient traffic information on traffic management more quickly, accurately and reasonably, and performing traffic management more quickly, accurately and reasonably.
Description
Technical field
The present invention relates to information fusion technology, relate in particular to a kind of method and apparatus of multi-source traffic information fusion treatment.
Background technology
In recent years, the transport need amount of bringing along with economy and fast development of society increases severely, and the contradiction between the urban transportation demand and supply becomes increasingly conspicuous.And people also more and more pay attention to urban transportation, public safety and environmental protection, wish significantly to improve urban transportation efficient by improving urban transportation integrated management ability, reduce traffic congestion, reduce traffic hazard.
Though can be used as the equipment of urban transportation information acquisition at present has multiple, as inductive coil detecting device, Video Detection instrument, Floating Car collection, traffic signal controlling machine, electronic police and Gate System etc., but the traffic data that different acquisition equipment is gathered has very big difference, although can be from the traffic characteristic of different angle reflection roads, but the form of time, position, statistical property and traffic variable is all inequality, and there is limitation separately in every kind of collecting device aspect the city road net traffic state estimation.For example, inductive coil detector failures rate height causes detecting data and lacks in a large number; The Video Detection instrument is subjected to the influence factor of environment more; Floating Car collection (being the information acquisition of GPS probe vehicles) sampling rate is low, and the map-matching algorithm error is bigger; Traffic signal controlling machine only can detect the traffic parameter at crossing, can't accurately obtain the traffic parameter in highway section; The position that electronic police and Gate System are laid at present is less, can't obtain large-scale traffic parameter.If so these multi-source traffic informations, then can't reach message exchange and the purpose of sharing without fusion treatment, more can't accomplish the transport information complementation in all kinds of sources, learn from other's strong points to offset one's weaknesses.The multi-source traffic information fusion is extracted the transport information with same characteristic features and is carried out fusion treatment then to the traffic data of separate sources, and multiple transport information is learnt from other's strong points to offset one's weaknesses, and has also reached message exchange and the purpose of sharing simultaneously.
Publication number is that the Chinese patent of CN1975800 discloses a kind of traffic information fusion processing method and system, solve floating car data and can only reflect that certain a bit or a certain section traffic information and can't calculate the problem of comprehensive traffic information of entire road to each Floating Car in the travel route alone.This kind method data source is single, just solved the problem that obtains the traffic behavior in highway section after the Floating Car image data through fusion treatment, and be inaccurate for the road traffic state information that complex crossing and highway section only depend on a kind of checkout equipment to draw, so this invention can not solve the problem that Multi-source Information Fusion draws traffic state information.
Publication number is that the Chinese patent of CN101064061 discloses a kind of different species traffic information real time integrating method, specifically is that a kind of different species traffic information that utilizes carries out real-time traffic states fusion estimation approach.This method also only is by two kinds of heterogeneous datas---the data of gathering with the GPS vehicle that detecting device extracts, compare and fusion obtains real-time traffic states.So this invention does not solve multiple collecting device (inductive coil detecting device, Video Detection instrument, Floating Car collection, traffic signal controlling machine, electronic police and Gate System) yet and carries out the problem that fusion treatment obtains traffic state information.
Summary of the invention
In view of the above-mentioned defective of prior art, technical matters to be solved by this invention provides a kind of method and device that can merge the multi-source traffic information of gathering from multiple pick-up unit, to describe transport information more accurately.
For achieving the above object, the invention provides a kind of multi-source traffic information method for amalgamation processing, it is characterized in that, comprise the steps that (a) gathers the source data of a plurality of checkout equipments, described checkout equipment detects the traffic behavior in highway section; (b) described source data is calibrated, with the time and/or the spatial reference point of unified described source data; (c) to carry out through the described source data of calibration data processing obtain can dull reflection road section traffic volume state parameter; (d) extract parameter and obtain characteristic, as the input of described fusion treatment with required feature; (e) described characteristic is carried out fusion treatment, draw the traffic state information of road.
Preferable, described fusion treatment comprises the steps that described characteristic is carried out bottom to be merged; The described data that merge through bottom are carried out decision-making level to be merged.
Preferable, described bottom fusion comprises carries out data smoothing to described parameter.
Preferable, described decision-making level merges and comprises that the result who merges according to described bottom sets the fusion weighted value, then according to described fusion weighted value to merging.
Preferable, described checkout equipment comprises inductive coil detecting device, Video Detection instrument, Floating Car acquisition system, traffic signal controlling machine, electronic police and Gate System.
Preferable, described feature comprises average velocity, journey time and/or the queue length in highway section.
Preferable, also comprise with unified format and export described traffic state information.
Based on above-mentioned method for amalgamation processing, the present invention also provides a kind of multi-source traffic information fusion treatment device, it is characterized in that, comprise data acquisition unit, it gathers the source data of a plurality of checkout equipments, and described checkout equipment detects the traffic behavior in highway section; Pretreatment unit, it is calibrated described source data, with the time and/or the spatial reference point of unified described source data; Data processing unit, its to carry out through the described source data of calibration data processing obtain can dull reflection road section traffic volume state parameter; The characteristic extraction unit, the parameter that its extraction has required feature obtains characteristic, as the input of described fusion treatment; The data fusion unit, it merges described characteristic.
Because dissimilar traffic datas has reflected a part of traffic related information, therefore the present invention is merged multi-source traffic information can obtain the traffic state information at highway section, crossing more accurately, is convenient to the issue of transport information and more quick and precisely reasonably carries out traffic administration just with the issue of transport information with more quick and precisely reasonably carry out traffic administration.
Description of drawings
Fig. 1 is according to multi-source traffic information fusion treatment schematic representation of apparatus of the present invention.
Embodiment
For above-mentioned purpose of the present invention, feature and advantage can be become apparent more, existing the present invention is described in further detail with embodiment in conjunction with the accompanying drawings.
The fusion of transport information be meant by to gather to transport information carry out comprehensive analysis processing, calculate the whole traffic information of road.The present invention proposes a kind of method of carrying out fusion treatment at the multi-source traffic information that detects via a plurality of pick-up units, to obtain the traffic state information at highway section, crossing more accurately, be convenient to the issue of transport information and more quick and precisely reasonably carry out traffic administration.
In the multi-source traffic information method for amalgamation processing according to the embodiment of the invention, at first the checkout equipment to multiple detection road conditions carries out data acquisition to obtain source data.In the traffic system of reality, different acquisition equipment has different accuracys to the detection of same traffic parameter, and same collecting device also has different accuracys to the detection of different traffic parameters.Therefore, need to gather the data of multiple checkout equipment to obtain traffic state information more accurately.In the present embodiment, comprised by capture and detection apparatus: inductive coil detecting device, Video Detection instrument, Floating Car acquisition system, traffic signal controlling machine, electronic police and Gate System etc. can direct detected source datas.
Table 1 shows the source data that can collect from different checkout equipments.
| Sequence number | Checkout equipment | The data that collect |
| 1 | The inductive coil detecting device | Flow, speed, time occupancy |
| 2 | The Video Detection instrument | Flow, queue length, speed |
| 3 | The Floating Car acquisition system | The speed of a motor vehicle, Floating Car sampling quantity |
| 4 | Traffic signal controlling machine | Phase place zero hour, phase place duration, cycle duration, saturation degree |
| 5 | Electronic police and Gate System | Sample motor vehicle amount, automotive number plate |
Table 1
Gather after the source data of a plurality of checkout equipments, need calibrate, with the time and/or the spatial reference point of unified described source data described source data.Because each collecting device is independent asynchronous working, therefore must carry out the calibration in time and space.In the present embodiment,, refer to the space representation of the source data of all checkout equipments is changed under the same coordinate system for the calibration in space.Therefore in the present embodiment, except the Floating Car acquisition system, other four classes collecting devices all have fixing installation site, and are can be directly related with the ad-hoc location foundation of the specific road section of numerical map.The data of Floating Car system are gathered in real time by GPS, have very big trueness error and transmission error, can't guarantee that each vehicle coordinate point all drops on the correct travel of vehicle.Therefore, need carry out Matching Location, also promptly floating car data is positioned on the actual highway section of certain bar by map-matching algorithm.Can realize the calibration spatially of all kinds of detection data thus.
Except that described source data is carried out the spatial calibration, also to carry out time calibration.Can be by making the time reference unification of each described source data reach time calibration.In the present embodiment, the unification of adopting clock system to reach time reference.Those skilled in the art should be understood that also can realize time calibration by other similar robotization modes.
After this, to carry out through the described source data of calibration data processing obtain can dull reflection road section traffic volume state parameter.The above-mentioned SDI that obtains from a plurality of described pick-up units comprises the magnitude of traffic flow, speed, occupation rate etc., merge calculating, and at first needing these source datas are converted into can the dull parameter that reflects traffic behavior.Therefore, utilize the theoretical modeling of macroscopical traffic ripple, described source data is converted to road-section average speed, journey time and/or queue length.
Concrete, the inductive coil data by the traffic engineering algorithm model, are converted into road-section average speed, journey time, queue length.Analysis obtains road-section average speed, journey time, queue length to Video Detection instrument data with digitizing technique by way of closed-circuit television.Floating Car acquisition system image data is by map match and shortest path first, and modeling fits also can be converted into road-section average speed, journey time.The traffic signal controlling machine data also can transfer road-section average speed, journey time, queue length to by traffic ripple theory.Electronic police and Gate System select suitable sample size that car plate is compared by the car plate identification module, can obtain the average velocity or the journey time in highway section.
After being converted into average velocity, journey time or queue length, because the testing mechanism difference of pick-up unit causes the variance variation of data inconsistent, so also need it is carried out standardization.Standardization of data is handled, and promptly data is carried out nondimensionalization and handles, and mainly solves the comparability of data.Present embodiment adopts the exponentiate disposal route.Exponentiate is handled and is carried out mathematical computations with the maximal value of index and the gap of minimum value, and its result is between 0-1.Through after the standardization, each desired value all is on the same quantity rank, can carry out feature extraction.
Then, extract parameter and obtain characteristic, as the input of described fusion treatment with required feature.Have the data of same characteristic features in the parameter that will be obtained in above-mentioned data processing step, promptly average velocity, journey time and/or queue length extract respectively, merge calculating as characteristic.
In the present embodiment, being example with these several parameters of average velocity, journey time and/or queue length, should understanding and the invention is not restricted to this several parameters, also can be amount of other dull reflection traffic behavior, such as highway section dutycycle, traffic density or the like.These parameters obtain after also can handling by the source data data processing step that different acquisition equipment is gathered up.
Then, described characteristic is carried out fusion treatment, draw the traffic state information of road.In the prior art, data fusion algorithm is more, and present embodiment adopts the algorithm of practical weighting fusion in the urban highway traffic engineering practice.Dissimilar traffic datas has reflected a part of traffic related information, but in the different moment, different highway sections, the quantity of information of different traffic data reflections is different, precision is also different, that is to say that they have different fusion weighted values.According to this principle, at first the described characteristic of logarithm is carried out the bottom fusion.Concrete, described bottom merges described The results of data processing is carried out data smoothing, and promptly the data to different samples average processing.After this, data and real data after bottom merges are compared, determine the precision of every kind of detecting device aspect different traffic state information estimations.At last, determine the fusion weighted value of each pick-up unit according to described precision.So just finished described fusion treatment, the result that described fusion weighted value merges as described bottom.
After this, in merging, decision-making level utilize the described weighted value that merges to merge calculating.Concrete, if the road-section average speed that coil checker detects is v1, the road-section average speed of Video Detection is v2, the average velocity that the Floating Car detection system detects is v3, traffic signals control and the average velocity that detects are v4, the average velocity that electronic police and Gate System detect is v5, and the road-section average speed of the description road traffic state information after then this highway section decision-making level merges is:
V＝αv1+βv2+γv3+δv4+εv5(α+β+γ+δ+ε＝1)
α, beta, gamma, δ, the determining of ε obtain the accuracy of detection of every kind of pick-up unit in the different transport information of reflection according to the result that bottom merges, and promptly merge weighted value.
Preferable, can at first determine a fixing fusion weighted value, the adjustment of carrying out repeatedly according to the result of from now on actual fused effect and actual observation finally is determined again, with the operating mechanism and the fusion weighted value of dynamic debugging system.Merging weighted value is to determine in the precision aspect the different traffic state information estimations with every kind of detecting device according to the result that bottom merges, the weighted value of different detecting devices can be identical earlier when initial choosing, then according to when detecting some traffic parameters, the detecting device weighted value that precision is high is adjusted higher, the detecting device weighted value adjustment that precision is low is low, in the process that merges, add real-time feedback mechanism, effect according to actual fused, the comparison real data is come the operating mechanism of dynamic debugging system and is merged weighted value, until fusion value and actual value the most near the time stop to adjust, the weighted value of this moment is fixed up.
Similarly, approaches of average link travel time and/or average queue length are also merged calculating with the method.
Among another embodiment, after the information that obtains described description road traffic state, these information can be expressed and output with the form of road net traffic state index system, be shown use with storage, exchange and issue and the GIS that is directly used in transport information.
Describe according to multi-source traffic information fusion treatment device of the present invention below with reference to Fig. 1.Described device comprises data acquisition unit, pretreatment unit, data processing unit, characteristic extraction unit and data fusion unit.
Described data acquisition unit carries out data acquisition to obtain source data to the checkout equipment of multiple detection road conditions.In the traffic system of reality, different acquisition equipment has different accuracys to the detection of same traffic parameter, and same collecting device also has different accuracys to the detection of different traffic parameters.Therefore, need to gather the data of multiple checkout equipment to obtain traffic state information more accurately.In the present embodiment, comprised by capture and detection apparatus: inductive coil detecting device, Video Detection instrument, Floating Car acquisition system, traffic signal controlling machine, electronic police and Gate System etc. can direct detected source datas.Table 1 shows the source data that can collect from different checkout equipments.
Gather after the source data of a plurality of checkout equipments, described pretreatment unit is calibrated described source data, with the time and/or the spatial reference point of unified described source data.Because each collecting device is independent asynchronous working, therefore must carry out the calibration in time and space.In the present embodiment,, refer to the space representation of the source data of all checkout equipments is changed under the same coordinate system for the calibration in space.Therefore in the present embodiment, except the Floating Car acquisition system, other four classes collecting devices all have fixing installation site, and are can be directly related with the ad-hoc location foundation of the specific road section of numerical map.The data of Floating Car system are gathered in real time by GPS, have very big trueness error and transmission error, can't guarantee that each vehicle coordinate point all drops on the correct travel of vehicle.Therefore, need carry out Matching Location, also promptly floating car data is positioned on the actual highway section of certain bar by map-matching algorithm.Can realize the calibration spatially of all kinds of detection data thus.
Except that described source data is carried out the spatial calibration, also to carry out time calibration.Can be by making the time reference unification of each described source data reach time calibration.In the present embodiment, the unification of adopting clock system to reach time reference.Those skilled in the art should be understood that also can realize time calibration by other similar robotization modes.
After this, described data processing unit to carry out through the described source data of calibration data processing obtain can dull reflection road section traffic volume state parameter.The above-mentioned SDI that obtains from a plurality of described pick-up units comprises the magnitude of traffic flow, speed, occupation rate etc., merge calculating, and at first needing these source datas are converted into can the dull parameter that reflects traffic behavior.Therefore, utilize the theoretical modeling of macroscopical traffic ripple, described source data is converted to road-section average speed, journey time and/or queue length.
Concrete, the inductive coil data by the traffic engineering algorithm model, are converted into road-section average speed, journey time, queue length.Analysis obtains road-section average speed, journey time, queue length to Video Detection instrument data with digitizing technique by way of closed-circuit television.Floating Car acquisition system image data is by map match and shortest path first, and modeling fits also can be converted into road-section average speed, journey time.The traffic signal controlling machine data also can transfer road-section average speed, journey time, queue length to by traffic ripple theory.Electronic police and Gate System select suitable sample size that car plate is compared by the car plate identification module, can obtain the average velocity or the journey time in highway section.
After being converted into average velocity, journey time or queue length, because the testing mechanism difference of pick-up unit causes the variance variation of data inconsistent, so also need it is carried out standardization.Standardization of data is handled, and promptly data is carried out nondimensionalization and handles, and mainly solves the comparability of data.Present embodiment adopts the exponentiate disposal route.Exponentiate is handled and is carried out mathematical computations with the maximal value of index and the gap of minimum value, and its result is between 0-1.Through after the standardization, each desired value all is on the same quantity rank, can carry out feature extraction.
Then, described characteristic extraction unit extracts the parameter with required feature and obtains characteristic, as the input of described fusion treatment.Have the data of same characteristic features in the parameter that will be obtained in above-mentioned data processing step, promptly average velocity, journey time and/or queue length extract respectively, merge calculating as characteristic.
In the present embodiment, being example with these several parameters of average velocity, journey time and/or queue length, should understanding and the invention is not restricted to this several parameters, also can be amount of other dull reflection traffic behavior, such as highway section dutycycle, traffic density or the like.These parameters obtain after also can handling by the source data data processing step that different acquisition equipment is gathered up.
Then, described characteristic is carried out fusion treatment, draw the traffic state information of road.In the prior art, data fusion algorithm is more, and present embodiment adopts the algorithm of practical weighting fusion in the urban highway traffic engineering practice.Dissimilar traffic datas has reflected a part of traffic related information, but in the different moment, different highway sections, the quantity of information of different traffic data reflections is different, precision is also different, that is to say that they have different fusion weighted values.According to this principle, at first the described characteristic of logarithm is carried out the bottom fusion.Concrete, described bottom merges described The results of data processing is carried out data smoothing, and promptly the data to different samples average processing.After this, the data after bottom merges need be compared with real data, determine the precision of every kind of detecting device aspect different traffic state information estimations.At last, determine the fusion weighted value of each pick-up unit according to described precision.So just finished described fusion treatment, the result that described fusion weighted value merges as described bottom.
After this, described decision-making level integrated unit utilizes the described weighted value that merges to merge calculating.Concrete, if the road-section average speed that coil checker detects is v1, the road-section average speed of Video Detection is v2, the average velocity that the Floating Car detection system detects is v3, traffic signals control and the average velocity that detects are v4, the average velocity that electronic police and Gate System detect is v5, and the road-section average speed of the description road traffic state information after then this highway section decision-making level merges is:
V＝αv1+βv2+γv3+δv4+εv5(α+β+γ+δ+ε＝1)
α, beta, gamma, δ, the determining of ε obtain the accuracy of detection of every kind of pick-up unit in the different transport information of reflection according to the result that bottom merges, and promptly merge weighted value.
Preferable, can at first determine a fixing fusion weighted value, the adjustment of carrying out repeatedly according to the result of from now on actual fused effect and actual observation finally is determined again, with the operating mechanism and the fusion weighted value of dynamic debugging system.Merging weighted value is to determine in the precision aspect the different traffic state information estimations with every kind of detecting device according to the result that bottom merges, the weighted value of different detecting devices can be identical earlier when initial choosing, then according to when detecting some traffic parameters, the detecting device weighted value that precision is high is adjusted higher, the detecting device weighted value adjustment that precision is low is low, in the process that merges, add real-time feedback mechanism, effect according to actual fused, the comparison real data is come the operating mechanism of dynamic debugging system and is merged weighted value, until fusion value and actual value the most near the time stop to adjust, the weighted value of this moment is fixed up.
Similarly, the described integrated unit utmost point calculates approaches of average link travel time and/or average queue length.
Among another embodiment, described multi-source traffic information fusion treatment device also comprises output unit, its information with described road traffic state is expressed and output with the form of road net traffic state index system, shows use with storage, exchange and issue and the GIS that is directly used in transport information.
The above embodiment of the present invention has following advantage.
(1) because dissimilar traffic datas has reflected a part of traffic related information, therefore the present invention is merged multi-source traffic information can obtain the traffic state information at highway section, crossing more accurately, is convenient to the issue of transport information and more quick and precisely reasonably carries out traffic administration just with the issue of transport information with more quick and precisely reasonably carry out traffic administration.
(2) dissimilar traffic datas have reflected a part of traffic related information, but in the different moment, different highway sections, the quantity of information of different traffic data reflections is different, precision is also different.The present invention sets different weighted values to gathering from the source data of different checkout facilities, so data fusion is more accurate.
(3) the present invention is at first merged by bottom and is determined a fixing fusion weighted value earlier, and the adjustment of carrying out repeatedly according to the result of from now on actual fused effect and actual observation finally is determined again, with the operating mechanism and the fusion weighted value of dynamic debugging system.Therefore, further promoted the accuracy that merges.
(4) the present invention carries out fusion treatment to the kind multi-source traffic information of gathering from multiple pick-up unit, it is by gathering the traffic data of different acquisition equipment such as inductive coil detecting device, Video Detection instrument, Floating Car collection, traffic signal controlling machine, electronic police and Gate System, extraction has the transport information of same characteristic features and carries out fusion treatment, therefore can be applicable to more complicated traffic control system.
Those skilled in the art should be understood that the present invention can not break away from spirit of the present invention and scope with many other concrete forms realizations.Described in this instructions is several preferred embodiment of the present invention.All technician in the art all should be in claim protection domain of the present invention under this invention's idea on the basis of existing technology by the available technical scheme of logical analysis, reasoning, or a limited experiment.
Claims (14)
1. a multi-source traffic information method for amalgamation processing is characterized in that, comprises the steps:
(a) source data of a plurality of checkout equipments of collection, described checkout equipment detects the traffic behavior in highway section;
(b) described source data is calibrated, with the time and/or the spatial reference point of unified described source data;
(c) to carry out through the described source data of calibration data processing obtain can dull reflection road section traffic volume state parameter;
(d) extract parameter and obtain characteristic, as the input of described fusion treatment with required feature;
(e) described characteristic is carried out fusion treatment, draw the traffic state information of road.
2. disposal route as claimed in claim 1 is characterized in that described fusion treatment comprises the steps:
Described characteristic is carried out bottom to be merged;
The described data that merge through bottom are carried out decision-making level to be merged.
3. disposal route as claimed in claim 2 is characterized in that, described bottom fusion comprises carries out data smoothing to described parameter.
4. disposal route as claimed in claim 2 is characterized in that, described decision-making level merges and comprises that the result who merges according to described bottom sets the fusion weighted value, then according to described fusion weighted value to merging.
5 disposal routes as claimed in claim 1 is characterized in that, described checkout equipment comprises inductive coil detecting device, Video Detection instrument, Floating Car acquisition system, traffic signal controlling machine, electronic police and Gate System.
6. disposal route as claimed in claim 1 is characterized in that, described feature comprises average velocity, journey time and/or the queue length in highway section.
7. disposal route as claimed in claim 1 is characterized in that, also comprises with unified format and exports described traffic state information.
8. a multi-source traffic information fusion treatment device is characterized in that, comprising:
Data acquisition unit, it gathers the source data of a plurality of checkout equipments, and described checkout equipment detects the traffic behavior in highway section;
Pretreatment unit, it is calibrated described source data, with the time and/or the spatial reference point of unified described source data;
Data processing unit, its to carry out through the described source data of calibration data processing obtain can dull reflection road section traffic volume state parameter;
The characteristic extraction unit, the parameter that its extraction has required feature obtains characteristic, as the input of described fusion treatment;
The data fusion unit, it merges described characteristic.
9. treating apparatus as claimed in claim 8 is characterized in that, described integrated unit comprises bottom integrated unit and decision-making level's integrated unit.
10. treating apparatus as claimed in claim 9 is characterized in that, described bottom integrated unit carries out data smoothing to described parameter.
11. treating apparatus as claimed in claim 9 is characterized in that, described decision-making level integrated unit is set the fusion weighted value according to the result of described bottom integrated unit, then according to described fusion weighted value to merging.
12. treating apparatus as claimed in claim 8 is characterized in that, described checkout equipment comprises inductive coil detecting device, Video Detection instrument, Floating Car acquisition system, traffic signal controlling machine, electronic police and Gate System.
13. treating apparatus as claimed in claim 8 is characterized in that, described feature comprises average velocity, journey time and/or the queue length in highway section.
14. treating apparatus as claimed in claim 7 is characterized in that, also comprises:
Output unit, it exports described traffic state information with unified format.
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| CNA2009100522867A CN101571997A (en) | 2009-05-31 | 2009-05-31 | Method and device for fusion processing of multi-source traffic information |
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