CN105702041A - Highway multisource data fusion state estimation system based on neural network and method thereof - Google Patents
Highway multisource data fusion state estimation system based on neural network and method thereof Download PDFInfo
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- CN105702041A CN105702041A CN201610255058.XA CN201610255058A CN105702041A CN 105702041 A CN105702041 A CN 105702041A CN 201610255058 A CN201610255058 A CN 201610255058A CN 105702041 A CN105702041 A CN 105702041A
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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
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/012—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from other sources than vehicle or roadside beacons, e.g. mobile networks
-
- 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
Abstract
The invention provides a highway multisource data fusion state estimation system based on a neural network and a method thereof. Multisource data are accessed to the system through a multisource data access module; consistency of time, space and semantics of the data is realized through a multisource data consistency processing module; and the unified data are processed through a data fusion and estimation module, including fusion and estimation processing performed on the data according to the type of road section coverage detection technology, the result of the data fusion and estimation module is the highway road network traffic state, and information integration is released to the outside for sharing by a state information sharing module and fed back to the data fusion and estimation module. The limitation of wide highway network space coverage domain and sparse distribution of fixed detector equipment can be overcome, the advantages and disadvantages and complementarity of the mobile and fixed detection technology are fully utilized, and the fused and estimated traffic state is more complete and accurate.
Description
Technical field
The present invention relates to highway traffic state identification field, be specifically related to a kind of highway multisource data fusion condition estimating system based on neutral net and method。
Background technology
Freeway traffic operation management and trip information service all need to rely on average link speed real-time, reliable。The fixed detectors such as microwave, infrared, coil, the Floating Car detection technique such as GPS, bluetooth, mobile phone, RFID, the acquisition for transport information provides diversified approach。But, multi-source information also brings problem providing while information convenience, for instance, how multi-source information is converted to consistent traffic behavior parameter？When characterizing equal state or there is conflict, how to integrate multi-source information？On the other hand, the monitoring of traffic status of express way is different from the detection of urban highway traffic。Although freeway traffic flow is single, but highway covers region extensively, will realize the monitoring of whole freeway net, and laying of detector is proposed new challenge。Fixed detector is expensive because of installation and operation maintenance cost, causes that it is not enough in the coverage rate of highway；Based on the Floating Car detection technique of GPS, RFID or bluetooth, because sample size is less, impact obtains the precision of transport information；Based on the traffic state information of Fare Collection System, because between charge station, section is longer, cause that the real-time of information is more weak。" the transport information extraction system based on mobile phone switching " builds on the Information base that mobile radio telecommunications base station gathers。Owing to wireless communication signals substantially covers freeway network, the raising of mobile phone utilization rate in addition, therefore " the transport information extraction system based on mobile phone switching " sample size and spatial coverage preferably。
Existing more research at present relates to the fusion method of estimation of highway multi-source traffic data。Application number is that CN201510071156.3 patent documentation " appraisal procedure of freeway traffic running status based on multisource data fusion " discloses a kind of freeway traffic running status appraisal procedure based on fixing vehicle checker data, charge data and GPS floating car data。Described in upper, fixing vehicle checker, charge data and GPS floating car data defect in spatial coverage, real-time and sample size, the effect that traffic behavior is estimated can be affected。
Summary of the invention
Goal of the invention: in order to overcome the deficiencies in the prior art, the present invention provides a kind of highway multisource data fusion condition estimating system based on neutral net and method, by extracting information from the transport information extraction system switched based on mobile phone and microwave traffic detection system, obtain data, solve problem of the prior art。
Technical scheme: for achieving the above object, the technical solution used in the present invention is: based on the highway multisource data fusion condition estimating system of neutral net, it is characterized in that, including multi-source data AM access module, multi-source data consistency treatment module, data fusion and estimation module and status information sharing module；Described data fusion and estimation module include multisource data fusion module, single source data estimation module；
Outside multi-source data information input multi-source data AM access module, the outfan of multi-source data AM access module accesses multi-source data consistency treatment module input；Multi-source data consistency treatment module outfan is divided into two-way, and multisource data fusion module is accessed on a road, and single source data estimation module is accessed on another road；The outfan access state information sharing module of described data fusion and estimation module；The outfan of described status information sharing module is to outside mail message, simultaneously to data fusion and estimation module feedback。
Further, described outside multi-source data information includes the information of information and the microwave traffic detection system offer provided based on the transport information extraction system of mobile phone switching。
Highway multisource data fusion method for estimating state based on neutral net, it is characterised in that the method comprises the following steps:
1) multi-source data accesses system by multi-source data AM access module；
2) data realize the unification of time, space and semanteme by multi-source data consistency treatment module；
3) by data fusion and estimation module to by step 2) unitized after data process, data are merged respectively and estimation processes including covering the kind of detection technique according to section；Especially by BP neural network model, described multi-source data is merged；
4) result of data fusion and estimation module is freeway network traffic behavior, status information sharing module by integration information and externally issue share, feed back to data fusion and estimation module simultaneously。
Further, step 1) in multi-source data include based on mobile phone switching transport information extraction system provide switching road section length, mobile phone Floating Car sample size, Link Travel Time；And the spot spe J of microwave traffic detection system offer, flow。
Further, the incision including base station controller, based on the transport information extraction system acquisition information of mobile phone switching, switching point longitude and latitude positional information and correspondence cuts out cell number；When vehicle moves to another base station cell from a base station cell, base station controller records statistical information include anonymous phone number, switching time, switch in and out cell number, event title；
Microwave traffic detection system passes through digital radar ripple detection technique, in real time the detection volume of traffic of divided lane, average spot spe J, vehicle information；
Further, step 2) in unification specifically include:
Time consistency includes: multi-source data unification processing module carries out collection meter according to the data that the constant duration transport information extraction system to switching based on mobile phone and microwave traffic detection system provide；
Space unification includes: the switching road section length of the transport information extraction system to switch based on mobile phone is as the criterion, and is corresponded to the position of microwave traffic detection system on corresponding switching section；
Semantic congruence includes: the Link Travel Time based on the transport information extraction system of mobile phone switching is converted to average link speed, and, the spot spe J of microwave traffic detection system is converted to average link speed。
Beneficial effect: compared with the traffic state estimation method utilizing single detection technique, the method that the embodiment of the present invention provides utilizes variation detection technique, makes up the limitation that single fixed test technology space coverage rate is low and single Floating Car detection technique precision is low。Compared with merging estimation with the traffic behavior utilizing multi detection technology in prior art, fixing vehicle checker, charge data and GPS floating car data defect in spatial coverage, real-time and sample size, the effect that traffic behavior is estimated can be affected。And emerging detection technique " the transport information extraction system based on mobile phone switching " has, at freeway traffic information collection side's mask, the advantage that coverage rate is high。The embodiment of the present invention integrates novel acquisition technique " the transport information extraction system based on mobile phone switching " and tradition fixed detector data, to excavating and making full use of transport information, utilize the mutual supplement with each other's advantages of variation detection technique, promote real-time, reliability and space-time coverage rate that traffic behavior is estimated, be conducive to discovery road traffic congestion problem in time, ensure safety and the traffic efficiency of highway。Access additionally, the embodiment of the present invention takes into account data source, and share result data with external system, form complete data streaming link, promote construction and the development of Expressway Information。
Accompanying drawing explanation
Fig. 1 is the schematic flow sheet of the present invention
Detailed description of the invention
Below in conjunction with accompanying drawing, the present invention is further described。
Being illustrated in figure 1 the highway multisource data fusion condition estimating system based on neutral net and method, system includes multi-source data AM access module, multi-source data consistency treatment module, data fusion and estimation module and status information sharing module；Described data fusion and estimation module include multisource data fusion module, single source data estimation module。
Outside multi-source data information input multi-source data AM access module, the outfan of multi-source data AM access module accesses multi-source data consistency treatment module input；Multi-source data consistency treatment module outfan is divided into two-way, and multisource data fusion module is accessed on a road, and single source data estimation module is accessed on another road；The outfan access state information sharing module of described data fusion and estimation module；The outfan of described status information sharing module is to outside mail message, simultaneously to data fusion and estimation module feedback。Outside multi-source data information source includes the transport information extraction system based on mobile phone switching and microwave traffic detection system。
Highway multisource data fusion method for estimating state based on neutral net comprises the following steps:
1) multi-source data accesses system by multi-source data AM access module；
Multi-source data includes based on the switching road section length of transport information extraction system offer of mobile phone switching, mobile phone Floating Car sample size, Link Travel Time；And the spot spe J of microwave traffic detection system offer, flow。
2) data realize the unification of time, space and semanteme by multi-source data consistency treatment module；
Time consistency: transport information extraction system and microwave traffic detection system based on mobile phone switching all can provide five minutes data for interval。Described multi-source data unification processing module unification was interval according to ten minutes, from 00:00:00, data carried out collection meter。
Space unification: the switching road section length of the transport information extraction system to switch based on mobile phone is as the criterion, corresponds to the position of microwave traffic detection system on corresponding switching section。
Semantic congruence: include being converted to the Link Travel Time of the transport information extraction system switched based on mobile phone average link speed, and the spot spe J of microwave traffic detection system is converted to average link speed。
Concrete, be converted to average link speed based on the Link Travel Time of the transport information extraction system of mobile phone switching and utilize following methods to realize:
LiIt is i-th switching road section length；
The space mean speed of car j is detected for mobile phone；
tn, tn+1Stab for switching time。
Concrete, the spot spe J of microwave traffic detection system is converted to average link speed and is realized by the following method:
For the spot spe J in the i-th time period；
For average link speed within the i-th time period
σt 2(i)For the variance of spot spe J within the i-th time period。
Based on mobile phone switching transport information extraction system obtain information time, needing the mobile phone in car to be in open and use state (i.e. phone, note or data transmission), the record that then mobile phone switching is relevant can extract from the record that cellular carrier provides。During the generation switched, the in-car phoning in call moves to the process of another base station cell from a base station cell, and for keeping the seriality of call, base station controller will be conversed and shift two minizones。Base station controller can record anonymous phone number, switching time, switch in and out the information such as cell number, event title。So, the transport information extraction based on mobile phone handoff technique is triggered by handover event。
3) by data fusion and estimation module to by step 2) unitized after data process, data are merged respectively and estimation processes including covering the kind of detection technique according to section；Especially by BP neural network model, described multi-source data is merged；Here multisource data fusion module is parallel with single source data estimation module。
Concrete, the kind that data after reunification cover detection technique according to section carries out merging and estimation process respectively, namely when express highway section covers the data of the transport information extraction system based on mobile phone switching and microwave traffic detection system, the module integrated two class data of multisource data fusion；When section only has the data that the transport information extraction system based on mobile phone switching provides, enable single source data AM access module。
3.1) by BP neural network model, described multi-source data is merged: described BP neural network model is made up of input layer, output layer and hidden layer；
The input neuron of described input layer includes: the switching road section length after described multi-source data unification processes, mobile phone Floating Car sample size, flow, two class average link speed。
The output neuron of described output layer is the average link speed after merging。
The embodiment of the present invention has taken into full account switching road section length, mobile phone Floating Car sample size can side reflection " based on mobile phone switching transport information extraction system " precision, have also contemplated that from the dependency between the flow and spot spe J of " traffic detection system of microwave " simultaneously, the levels of precision merging average link speed fusion value can be improved。
The output neuron of described output layer is the average link speed after merging。
Neuron number in described hidden layer has transmutability, concrete input and output training set determine。In the embodiment of the present invention, by using the default setting of MATLAB2014A function " feedforwardnet " to build and train neutral net described herein。For keeping a balance fusion accuracy and calculating time efficiency, hidden layer neuron number is positioned 10。In MATLAB2014A, each neuron in hidden layer has second shape transmission function, and for the linear transfer function of output layer。
3.2) by BP neural network model, described single source data is carried out state estimation: described BP neural network model is made up of input layer, output layer and hidden layer；
The input neuron of described input layer includes: the switching road section length after described multi-source data unification processes, mobile phone Floating Car sample size, mobile phone average link speed。
The output neuron of described output layer is the average link speed estimated。
The number of described hidden layer neuron is 10。
4) result of data fusion and estimation module is freeway network traffic behavior, the integration of information is externally issued by status information sharing module and shares, and feed back to data fusion and estimation module。
4.1) integrate: the average link speed merging in integration step 3 and estimating, it is thus achieved that average link speed distribution on highway network。
4.2) feedback: the average link speed after integration, feeds back to multisource data fusion module and single source data estimation module。Described multisource data fusion module and single source data estimation module are based on neutral net。Neutral net according to the combination of many different input neurons and corresponding output neuron, by self-learning function, can obtain appointment output giving specific input condition。The data of feedback are for expanding the learning capacity of neutral net。
4.3) share: external system, such as Operation and Management of Expressway DSS, highway Public Traveling service system can obtain express highway section average speed by the external interface of described status information sharing module, and then realize highway and run efficiently and comprehensive public service。
In the embodiment of the present invention, data in mobile phone and Vehicle Detection data derive from existing highway detection system, so at the method and system utilizing the embodiment of the present invention to provide, when traffic behavior is estimated, it is not necessary to additionally set up acquisition system。Only by multi-source data AM access module, multi-source data need to be extracted from the transport information extraction system switched based on mobile phone and microwave traffic detection system, it is possible to directly use。So, the method that the embodiment of the present invention provides, for similar data source, has good transplantability。
The above is only the preferred embodiment of the present invention; it is noted that, for those skilled in the art; under the premise without departing from the principles of the invention, it is also possible to make some improvements and modifications, these improvements and modifications also should be regarded as protection scope of the present invention。
Claims (6)
1. based on the highway multisource data fusion condition estimating system of neutral net, it is characterised in that include multi-source data AM access module, multi-source data consistency treatment module, data fusion and estimation module and status information sharing module；Described data fusion and estimation module include multisource data fusion module, single source data estimation module；
Outside multi-source data information input multi-source data AM access module, the outfan of multi-source data AM access module accesses multi-source data consistency treatment module input；Multi-source data consistency treatment module outfan is divided into two-way, and multisource data fusion module is accessed on a road, and single source data estimation module is accessed on another road；The outfan access state information sharing module of described data fusion and estimation module；The outfan of described status information sharing module is to outside mail message, simultaneously to data fusion and estimation module feedback。
2. the highway multisource data fusion condition estimating system based on neutral net as claimed in claim 1, it is characterized in that, described outside multi-source data information includes the information of information and the microwave traffic detection system offer provided based on the transport information extraction system of mobile phone switching。
3. based on the highway multisource data fusion method for estimating state of neutral net, it is characterised in that the method comprises the following steps:
1) multi-source data accesses system by multi-source data AM access module；
2) data realize the unification of time, space and semanteme by multi-source data consistency treatment module；
3) by data fusion and estimation module to by step 2) unitized after data process, data are merged respectively and estimation processes including covering the kind of detection technique according to section；Especially by BP neural network model, described multi-source data is merged；
4) result of data fusion and estimation module is freeway network traffic behavior, status information sharing module by integration information and externally issue share, feed back to data fusion and estimation module simultaneously。
4. the highway multisource data fusion method for estimating state based on neutral net as claimed in claim 3, it is characterized in that, step 1) in multi-source data include based on mobile phone switching transport information extraction system provide switching road section length, mobile phone Floating Car sample size, Link Travel Time；And the spot spe J of microwave traffic detection system offer, flow。
5. the highway multisource data fusion method for estimating state based on neutral net as claimed in claim 4, it is characterized in that, the transport information extraction system including base station controller, based on mobile phone switching obtains the incision of information, switching point longitude and latitude positional information and correspondence and cuts out cell number；When vehicle moves to another base station cell from a base station cell, base station controller records statistical information include anonymous phone number, switching time, switch in and out cell number, event title；
Microwave traffic detection system passes through digital radar ripple detection technique, in real time the detection volume of traffic of divided lane, average spot spe J, vehicle information；
6. the highway multisource data fusion method for estimating state based on neutral net as claimed in claim 3, it is characterised in that step 2) in unification specifically include:
Time consistency includes: multi-source data unification processing module carries out collection meter according to the data that the constant duration transport information extraction system to switching based on mobile phone and microwave traffic detection system provide；
Space unification includes: the switching road section length of the transport information extraction system to switch based on mobile phone is as the criterion, and is corresponded to the position of microwave traffic detection system on corresponding switching section；
Semantic congruence includes: the Link Travel Time based on the transport information extraction system of mobile phone switching is converted to average link speed, and, the spot spe J of microwave traffic detection system is converted to average link speed。
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| CN106373397B (en) * | 2016-09-28 | 2018-10-02 | 哈尔滨工业大学 | Remote sensing images road situation analysis method based on fuzzy neural network |
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| CN106372765B (en) * | 2016-11-29 | 2019-11-12 | 东南大学 | A kind of expressway weather station data recovery method based on fused data |
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| CN111882858A (en) * | 2020-06-01 | 2020-11-03 | 重庆大学 | Method for predicting queuing length of expressway abnormal events based on multi-source data |
| WO2022006814A1 (en) * | 2020-07-09 | 2022-01-13 | Qualcomm Incorporated | Machine learning handover prediction based on sensor data from wireless device |
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