CN102903235B - Method and device for evaluating quality of real-time road condition - Google Patents
Method and device for evaluating quality of real-time road condition Download PDFInfo
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- CN102903235B CN102903235B CN201210393626.4A CN201210393626A CN102903235B CN 102903235 B CN102903235 B CN 102903235B CN 201210393626 A CN201210393626 A CN 201210393626A CN 102903235 B CN102903235 B CN 102903235B
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Abstract
The invention discloses a method and a device for evaluating quality of a real-time road condition, and relates to the application field of road condition processing of city road traffic, the drive test cycle can be shortened, and the accuracy of road condition information of a road section is improved. According to the embodiment of the invention, obtained FCD (floating car data) are classified according to the driving distances of each floating car under different states on any road; the FCD to be extracted are determined and extracted according to different types of FCD; and the information of the real-time road condition is determined according to the extracted FCD to be extracted, and the quality of any road is evaluated according to the information of the real-time road condition. The scheme provided by the embodiment of the invention is suitable for evaluating the quality of the real-time road condition.
Description
Technical field
The present invention relates to the application of urban highway traffic traffic information process, particularly relate to a kind of method and the device that real-time road are carried out to quality assessment.
Background technology
Nowadays urban highway traffic route is flourishing, and the vehicle in city also gets more and more, and causes traffic blocking problem day by day obvious.As the real-time road of one of municipal intelligent traffic content, mainly for current urban traffic road block up unimpeded situation time, user can select more unimpeded traffic path by real-time road, makes to avoid section, peak, saves time, safety trip.
Prior art adopts the driving trace with car method collecting test car usually, to obtain the information of vehicles of test carriage, the taxi that general use is a large amount of or bus are as test carriage, by mounted GPS car-mounted device and Wireless Telecom Equipment, obtain the information of vehicles of test carriage, wherein, information of vehicles comprises the parameters such as longitude and latitude, empty and load state, time, instantaneous velocity, instantaneous direction, operating range.Real-time for the information of vehicles of the test carriage of acquisition is sent in Floating Car disposal system, generates the test traffic information of test carriage in each section, then compare with system traffic information, obtain quality evaluation result.Here, general test traffic information refers to the travel speed of test carriage on road, using the benchmark of this travel speed as quality assessment.System traffic information refers to the average overall travel speed generated through Floating Car disposal system.Floating Car information of vehicles, for gathering Floating Car information of vehicles, processes by Floating Car disposal system, obtains test traffic information, and will test traffic information issue.It should be noted that, generally in order to gather more sample size and make quality evaluation result accurate, need at least 3 days time an of city, 6 hours every days image data.
But, by adopt prior art carry out real-time road carry out quality assessment time, the drive test cycle is long, in addition due to test category of roads difference, make quality evaluation result inaccurate.Here category of roads is that the intensity, flatness, serviceable life, road cross quantity etc. according to road surface divides.
Summary of the invention
Embodiments of the invention provide a kind of method and the device that real-time road are carried out to quality assessment, can shorten the drive test cycle, improve the accuracy of section test traffic information.
On the one hand, embodiments of the invention provide a kind of method of real-time road being carried out to quality assessment, comprising:
The distance travelled under different conditions according to each Floating Car that arbitrary road travels, classifies to the floating car data (Floating Car Data, FCD) obtained;
According to different classes of FCD, determine and extract FCD to be extracted;
FCD described to be extracted according to extracting determines real-time road condition information, and carries out quality assessment according to described real-time road condition information to described arbitrary road.
In an alternative embodiment of the invention, the distance travelled under the described different conditions to described each Floating Car according to arbitrary road travels, when classifying to the FCD of all Floating Car that described arbitrary the road obtained travels, also comprises:
Obtain the FCD of each Floating Car that arbitrary road travels;
Carry out map match according to described FCD, and sort according to running time order to the up all Floating Car of sailing of the first road, described first road is arbitrary road in map;
According to the different conditions of the first Floating Car on described first road, judge whether described first Floating Car is loaded vehicle, described first Floating Car is in up arbitrary the Floating Car of sailing of described first road;
When described first Floating Car is loaded vehicle, judge whether the driving trace Trace of described first Floating Car under described loaded vehicle state is more than or equal to preset travel distance, described preset travel distance is less than the length of described first road, described Trace is split described first road according to the empty and load state of Floating Car, the operating range of the described Floating Car of acquisition; When the Trace of described first Floating Car under described loaded vehicle state is more than or equal to described preset travel distance, the FCD of described first Floating Car is stored in the first database;
When described first Floating Car is empty wagons, judge whether the Trace of described first Floating Car under described complete vehicle curb condition is more than or equal to described preset travel distance; When the Trace of described first Floating Car under described complete vehicle curb condition is more than or equal to described preset travel distance, the FCD of described first Floating Car is stored in the second database;
When the Trace of described first Floating Car is less than described preset travel distance, the FCD of described first Floating Car is stored in the 3rd database.
In an alternative embodiment of the invention, described to described according to different classes of FCD, when determining and extract FCD to be extracted, also comprise:
According to K=(D1+D2+D3) * M% determines the number of FCD to be extracted, wherein K represents the number of described FCD to be extracted, D1 represents the FCD number that described first database comprises, D2 represents the FCD number that described second database comprises, D3 represents the FCD number that described 3rd database comprises, and M% represents experience factor;
As K≤D1, then from described D1, randomly draw K bar FCD;
As K > D1, and during K≤(D1+D2), then from described (D1+D2), randomly draw K bar FCD;
As K > (D1+D2), then reduce described preset travel distance, and again the FCD obtained is classified and determines according to different classes of FCD and extract FCD to be extracted.
In an alternative embodiment of the invention, described to described according to extract FCD described to be extracted determine the first real-time road condition information time, also comprise:
According to the K bar FCD extracted, obtain first real-time road condition information of Trace corresponding to described FCD, described first real-time road condition information is included in the average overall travel speed of all Floating Car that described Trace travels or average running time, described Trace is split described first road according to the empty and load state of Floating Car, the operating range of the described Floating Car obtained, wherein, described Trace is less than the length of described first road, and any one Trace in described first road comprises corresponding FCD.
After the described FCD described to be extracted according to extracting determines the first real-time road condition information, also comprise:
According to the FCD in described (D1+D2+D3) bar FCD except the described K bar FCD extracted, obtain second real-time road condition information of Trace corresponding to described FCD, described second real-time road condition information is included in average running time or the average overall travel speed of all Floating Car that described Trace travels.
In another embodiment of the invention, described to described according to described real-time road condition information, quality assessment is carried out to described arbitrary road time, comprising:
Described real-time road condition information comprises the first real-time road condition information and described second real-time road condition information;
According to
determine evaluation of estimate, wherein, P represents institute's evaluation values, and A1 represents described first real-time road condition information, and A2 represents described second real-time road condition information;
As P≤B, determine that the real-time road of described Trace is correct, wherein, B represents default evaluation of estimate;
As P>B, determine that the real-time road of described Trace is wrong.
On the other hand, embodiments of the invention provide a kind of device real-time road being carried out to quality assessment, comprising:
Taxon, for according to the distance travelled under the different conditions of each Floating Car that arbitrary road travels, classifies to the floating car data FCD of all Floating Car that described arbitrary the road obtained travels;
Extracting unit, for according to different classes of FCD, determines and extracts FCD to be extracted;
Determining real-time road condition information unit, for determining real-time road condition information according to the FCD described to be extracted extracted, and according to described real-time road condition information, quality assessment being carried out to described arbitrary road.
In another embodiment of the invention, described taxon comprises:
Acquisition module, for obtaining the FCD of each Floating Car that arbitrary road travels;
Map-matching module, for carrying out map match according to described FCD, and sort according to running time order to the up all Floating Car of sailing of the first road, described first road is arbitrary road in map;
First judge module, for the different conditions according to the first Floating Car on described first road, judges whether described first Floating Car is loaded vehicle, and described first Floating Car is in up arbitrary the Floating Car of sailing of described first road;
Second judge module, for when described first Floating Car is loaded vehicle, judge whether the Trace of described first Floating Car under described loaded vehicle state is more than or equal to preset travel distance, described preset travel distance is less than the length of described first road, described Trace is split described first road according to the empty and load state of Floating Car, the operating range of the described Floating Car of acquisition;
Memory module, for when the Trace of described first Floating Car under described loaded vehicle state is more than or equal to described preset travel distance, is stored in the first database by the FCD of described first Floating Car;
Described second judge module, also for when described first Floating Car is empty wagons, judges whether the Trace of described first Floating Car under described complete vehicle curb condition is more than or equal to described preset travel distance; Described memory module, also for when the Trace of described first Floating Car under described complete vehicle curb condition is more than or equal to described preset travel distance, is stored in the second database by the FCD of described first Floating Car;
Described memory module, also for when the Trace of described first Floating Car is less than described preset travel distance, is stored in the FCD of described first Floating Car in the 3rd database.
In another embodiment of the invention, the distance travelled under the described different conditions to described each Floating Car according to arbitrary road travels, after classifying to the FCD of all Floating Car that described arbitrary the road obtained travels, described extracting unit comprises:
Determination module, for according to K=(D1+D2+D3) * M% determines the number of FCD to be extracted, wherein K represents the number of described FCD to be extracted, D1 represents the FCD number that described first database comprises, D2 represents the FCD number that described second database comprises, D3 represents the FCD number that described 3rd database comprises, and M% represents experience factor;
Abstraction module, for as K≤D1, then randomly draws K bar FCD from described D1;
Described abstraction module, also for working as K > D1, and during K≤(D1+D2), then randomly draws K bar FCD from described (D1+D2);
Described abstraction module, also for as K > (D1+D2), then reduces described preset travel distance, and again classifies to the FCD obtained and determine according to different classes of FCD and extract FCD to be extracted.
In another embodiment of the invention, after the FCD that described extraction is to be extracted, describedly determine that real-time road unit comprises:
Determine real-time road module, for the K bar FCD according to extraction, obtain first real-time road condition information of Trace corresponding to described FCD, described first real-time road condition information is included in the average overall travel speed of all Floating Car that described Trace travels or average running time, and described Trace carries out interrupting according to the empty and load state of Floating Car and is less than the length of described first road.
Describedly determine real-time road module, also for according in described (D1+D2+D3) bar FCD except extract described K bar FCD except FCD, obtain second real-time road condition information of Trace corresponding to described FCD, described second real-time road condition information is included in average running time or the average overall travel speed of all Floating Car that described Trace travels.
In another embodiment of the invention, described real-time road condition information is determined to the described FCD described to be extracted according to extracting after, according to described real-time road condition information, quality assessment is carried out to described arbitrary road, describedly determines real-time road unit, also comprise:
Computing module, for basis
determine evaluation of estimate, wherein, P represents institute's evaluation values, and A1 represents described first real-time road condition information, and A2 represents described second real-time road condition information;
Contrast determination module, for as P≤B, determine that the real-time road of described Trace is correct, wherein, B represents default evaluation of estimate;
Described contrast determination module, also for as P>B, determines that the real-time road of described Trace is mistake.
The embodiment of the present invention provides a kind of method and the device that real-time road are carried out to quality assessment, by according to the distance travelled under the different conditions of each Floating Car that arbitrary road travels, the floating car data FCD of all Floating Car that described arbitrary the road obtained travels is classified; Then according to different classes of FCD, determine and extract FCD to be extracted; Finally determine real-time road condition information according to the FCD described to be extracted extracted, and according to described real-time road condition information, quality assessment is carried out to described arbitrary road.
With carry out in prior art real-time road carry out quality assessment time, because a city image data at least needs 3 day time, 6 hours every days, cause the drive test cycle long, in addition owing to adopting the information of vehicles with car method collecting test car, so only obtain a sample size, and the category of roads of test is different, make that quality evaluation result is inaccurate to be compared, the present invention carries out FCD collection by a large amount of Floating Car simultaneously, and carry out the mode that FCD is measured in real time and read, shorten the time gathering FCD, and by a large amount of sample sizes and to gather FCD carry out strict classification, calculate, process, thus improve the accuracy of section test traffic information.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, be briefly described to the accompanying drawing used required in embodiment or description of the prior art below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skill in the art, under the prerequisite not paying creative work, other accompanying drawing can also be obtained according to these accompanying drawings.
A kind of process flow diagram real-time road being carried out to the method for quality assessment that Fig. 1 provides for the embodiment of the present invention 1;
The another kind that Fig. 2 provides for the embodiment of the present invention 1 carries out the process flow diagram of the method for quality assessment to real-time road;
A kind of process flow diagram that floating car data FCD is classified that Fig. 3 provides for the embodiment of the present invention 1;
A kind of block diagram real-time road being carried out to the device of quality assessment that Fig. 4 provides for the embodiment of the present invention 2;
The another kind that Fig. 5 provides for the embodiment of the present invention 2 carries out the block diagram of the device of quality assessment to real-time road.
Embodiment
Below in conjunction with the accompanying drawing in the embodiment of the present invention, be clearly and completely described the technical scheme in the embodiment of the present invention, obviously, described embodiment is only the present invention's part embodiment, instead of whole embodiments.Based on the embodiment in the present invention, those of ordinary skill in the art, not making the every other embodiment obtained under creative work prerequisite, belong to the scope of protection of the invention.
Embodiment 1
The embodiment of the present invention provides a kind of process flow diagram real-time road being carried out to the method for quality assessment, and the executive agent of the method is Floating Car disposal system, and as shown in Figure 1, the method comprises the following steps:
Step 101, the distance travelled under the different conditions according to each Floating Car that arbitrary road travels, classifies to the FCD of all Floating Car that described arbitrary the road obtained travels;
Floating Car is generally taxi or bus, by mounted GPS car-mounted device and Wireless Telecom Equipment, using the foundation be sent to as evaluation path in Floating Car disposal system real-time for the FCD of acquisition.Floating Car information of vehicles, for gathering Floating Car information of vehicles, processes by Floating Car disposal system, obtains test traffic information, and will test traffic information issue.FCD comprises the parameters such as longitude and latitude, empty and load state, time, instantaneous velocity, instantaneous direction, operating range.To FCD classification mode can according to any one in the parameters such as longitude and latitude, empty and load state, time, instantaneous velocity, instantaneous direction, operating range or appoint several classify.
Step 102, according to different classes of FCD, determines and extracts FCD to be extracted;
By FCD according to any one in the parameters such as longitude and latitude, empty and load state, time, instantaneous velocity, instantaneous direction, operating range or appoint several classify after, determine FCD to be extracted by Floating Car disposal system.Wherein the present embodiment can determine the number of FCD to be extracted according to certain rule, then extracts the FCD determining number from database.
Concrete, certain rule can for according to K=(D1+D2+D3) * M% determines the number of FCD to be extracted, wherein K represents the number of described FCD to be extracted, D1 represents the FCD number that described first database comprises, D2 represents the FCD number that described second database comprises, D3 represents the FCD number that described 3rd database comprises, and M% represents experience factor;
As K≤D1, then from described D1, randomly draw K bar FCD;
As K > D1, and during K≤(D1+D2), then from described (D1+D2), randomly draw K bar FCD;
As K > (D1+D2), then reduce described preset travel distance, and again the FCD obtained is classified and determines according to different classes of FCD and extract FCD to be extracted.
Step 103, the FCD described to be extracted according to extracting determines real-time road condition information, and carries out quality assessment according to described real-time road condition information to described arbitrary road.
After being processed by Floating Car disposal system by the FCD described to be extracted extracted, obtain the first real-time road condition information, this first real-time road condition information can be standard traffic information.It should be noted that, the first real-time road condition information is included in the average overall travel speed of all Floating Car that described Trace travels or average running time;
After being processed by Floating Car disposal system by remaining FCD, obtain the second real-time road condition information, this second real-time road condition information can be system traffic information.It should be noted that, the second real-time road condition information is included in average running time or the average overall travel speed of all Floating Car that described Trace travels.
Then the first real-time road condition information after Floating Car disposal system being processed and the second real-time road condition information compare, the absolute value of the difference that both acquisitions are compared, the absolute value of this difference is compared divided by the evaluation of estimate of the first real-time road condition information gained and default evaluation of estimate, to carry out quality assessment to Trace place road.According to the method that the present embodiment provides, the quality assessment of arbitrary road can be obtained.
The embodiment of the present invention provides a kind of method of real-time road being carried out to quality assessment, by according to the distance travelled under the different conditions of each Floating Car that arbitrary road travels, the FCD of all Floating Car that described arbitrary the road obtained travels is classified, then according to different classes of FCD, determine and extract FCD to be extracted, finally determine real-time road condition information according to the FCD described to be extracted extracted, and according to described real-time road condition information, quality assessment is carried out to described arbitrary road.The present embodiment by gathering a large amount of FCD, and carries out strict classification, calculating, process to the FCD gathered, thus improves the accuracy of section test traffic information.
The embodiment of the present invention provides another kind of method of real-time road being carried out to quality assessment, and as shown in Figure 2, the method comprises:
Step 201, obtains the FCD of each Floating Car that arbitrary road travels;
The taxi that general use is a large amount of or bus as Floating Car, by mounted GPS car-mounted device and Wireless Telecom Equipment, using the foundation be sent to as evaluation path in Floating Car disposal system real-time for the FCD of acquisition.It should be noted that, the FCD obtained by mounted GPS car-mounted device and Wireless Telecom Equipment can be measured in real time and read, thus shortens the drive test cycle.Wherein, FCD can be stored in database, also can be stored in portable hard drive.When reading described FCD, Floating Car disposal system can be adopted to read.
Step 202, classifies to the FCD obtained;
To obtain FCD classification time, generally can according to any one in the parameters such as the longitude and latitude in FCD, empty and load state, time, instantaneous velocity, instantaneous direction, operating range or appoint several classify.The present embodiment can adopt Floating Car disposal system, is classified to the FCD obtained by time, empty and load state, operating range.
Concrete, as shown in Figure 3, the step of classifying to described FCD is as follows.
Step 301, carries out map match according to described FCD, and sorts according to running time order to the up all Floating Car of sailing of the first road, and described first road is arbitrary road in map;
Map match refers at different conditions by the proportioning between the map of the same scenery of acquisition, utilizes digital map to make positioning system more reliable, accurate.The path that the parameter such as the longitude and latitude utilizing FCD to comprise in Floating Car disposal system, empty and load state, time, instantaneous velocity, instantaneous direction and digitized map data storehouse provide and road net mate, and then determine the road that arbitrary Floating Car travels in map.After carrying out map match, start to carry out path culculating, main object is to obtain within specific one time cycle, the traffic route of arbitrary Floating Car.
Then sort according to running time order to the up all Floating Car of sailing of the first road, the present embodiment can adopt and sort according to time sequencing.Certainly, the embodiment of the present invention does not limit the mode of sequence.
Step 302, according to the different conditions of the first Floating Car on described first road, judges whether described first Floating Car is loaded vehicle;
First Floating Car can be in up arbitrary the Floating Car of sailing of described first road.Now, the first Floating Car can for according to time sequencing sequence after in the first road up time of sailing Floating Car the earliest.
Step 303, when described first Floating Car is loaded vehicle, judges whether the Trace of described first Floating Car under described loaded vehicle state is more than or equal to preset travel distance;
Described preset travel distance is less than the length of described first road.
Trace is split described first road according to the empty and load state of Floating Car, the operating range of the described Floating Car of acquisition.It should be noted that, Trace is stretch footpath, and FCD is the set of point, and Trace is made up of multiple FCD point.Wherein, described Trace is less than the length of described first road, and any one Trace in described first road comprises corresponding FCD.In this step, this Trace is the first Floating Car when being loaded vehicle in the up distance of sailing of the first road.
Step 304, when the Trace of described first Floating Car under described loaded vehicle state is more than or equal to described preset travel distance, is stored in the first database by the FCD of described first Floating Car;
In the present embodiment, a large amount of taxis can being adopted as Floating Car, thinking loaded vehicle state when there being passenger in Floating Car, when thinking complete vehicle curb condition without during passenger in Floating Car.Can preset travel distance it be 15 kilometers.Concrete, when the first Floating Car is sailed the first road is up, and for the Trace under loaded vehicle state be more than or equal to preset travel distance time, the FCD of described first Floating Car is stored in the first database.The FCD number wherein stored in the first database can be designated as D1.
Step 305, when described first Floating Car is empty wagons, judges whether the Trace of described first Floating Car under described complete vehicle curb condition is more than or equal to described preset travel distance;
Step 306, when the Trace of described first Floating Car under described complete vehicle curb condition is more than or equal to described preset travel distance, is stored in the second database by the FCD of described first Floating Car;
The FCD number stored in second database can be designated as D2.
Step 307, when the Trace of described first Floating Car is less than described preset travel distance, is stored in the FCD of described first Floating Car in the 3rd database;
The FCD number stored in 3rd database can be designated as D3.
It should be noted that, the method for operating according to step 301-step 307 is classified to the up all Floating Car of sailing of the first road.Carry out after classification completes, continuing to perform step 203 to FCD.
Step 203, according to different classes of FCD, determines and extracts FCD to be extracted;
After FCD is classified according to empty and load state and operating range etc., determined by Floating Car disposal system and extract FCD to be extracted.Concrete, the method extracting FCD is as described below:
According to K=(D1+D2+D3) * M% determines the number of FCD to be extracted, wherein K represents the number of described FCD to be extracted, D1 represents that the FCD number that described first database comprises, D2 represent that the FCD number that described second database comprises, D3 represent the FCD number that described 3rd database comprises, M% represents experience factor, in the present embodiment, in order to the accuracy that road quality is evaluated, need to arrange M% be less than 50% natural number, such as, M% can be set to 20%;
As K≤D1, then from described D1, randomly draw K bar FCD;
As K > D1, and during K≤(D1+D2), then from described (D1+D2), randomly draw K bar FCD;
As K > (D1+D2), then reduce described preset travel distance, and again the FCD obtained is classified and determines according to different classes of FCD and extract FCD to be extracted, namely re-execute step 202 and this step.
It should be noted that, K can get immediate integer, and such as, when K is 10.3, then getting K is 10, and when K is 10.9, then getting K is 11.
Step 204, according to the K bar FCD extracted, obtains first real-time road condition information of Trace corresponding to described FCD;
According to the K bar FCD extracted, FCD to be extracted is put into the first real-time road condition information obtaining Trace corresponding to described FCD after Floating Car disposal system carries out data processing, described first real-time road condition information is included in the average overall travel speed of all Floating Car that described Trace travels or average running time, described Trace is split described first road according to the empty and load state of Floating Car, the operating range of the described Floating Car obtained, wherein, described Trace is less than the length of described first road, any one Trace in described first road comprises corresponding FCD.
Step 205, according to the FCD in described (D1+D2+D3) bar FCD except the described K bar FCD extracted, obtains second real-time road condition information of Trace corresponding to described FCD;
FCD in described (D1+D2+D3) bar FCD except the described K bar FCD extracted is put into after Floating Car disposal system carries out data processing, obtain second real-time road condition information of Trace corresponding to described FCD, described second real-time road condition information is included in average running time or the average overall travel speed of all Floating Car that described Trace travels.
It should be noted that, the FCD in described (D1+D2+D3) bar FCD except the described K bar FCD extracted is [N%*(D1+D2+D3)], wherein, N%=(1-M%), then N% be greater than 50% natural number.
Step 206, according to described first real-time road condition information and described second real-time road condition information, carries out quality assessment to described first road.
The method of arbitrary road being carried out to quality assessment is as follows:
First, according to
determine evaluation of estimate, wherein, P represents institute's evaluation values, and A1 represents described first real-time road condition information, and A2 represents described second real-time road condition information;
As P≤B, determine that the real-time road of described Trace is correct, wherein, B represents default evaluation of estimate; As P>B, determine that the real-time road of described Trace is wrong; In the present embodiment, described default evaluation of estimate can for the natural number being less than or equal to 0.3.It should be noted that, determine here, when the real-time road of described Trace is correct, to illustrate that the property of can refer to of the real-time road of this Trace is large; When the real-time road of described race is mistake, illustrate that the property of can refer to of the real-time road of this Trace is little.
Further, according to
determine the accuracy rate of described first road, wherein, H represents the accuracy rate of described first road, and B1 represents that in described first road, all Trace are correct number, and B2 represents the number of all Trace in described first road.
In the present embodiment, when accuracy is more than or equal to 70%, namely in described first road, Trace is that correct number accounts for more than 70% of total Trace number in the first road, then think that the real-time road quality of described first road is good; Certainly, accuracy shows that more greatly real-time road quality is better, and therefore accuracy can be greater than 70%.
When Trace in described first road is that correct number accounts for less than 70% of total Trace number in the first road, when namely accuracy is less than 70%, think the real-time road poor quality of described first road.
By the method to the quality assessment of the first road in map that the present embodiment provides, the quality assessment of arbitrary road in map can be obtained.
The embodiment of the present invention provides a kind of method of real-time road being carried out to quality assessment, by obtaining the FCD of each Floating Car that arbitrary road travels, and carry out classifying, extract, process and calculating according to certain rule in Floating Car disposal system, thus reach the object shortening drive test cycle raising section test traffic information accuracy.
Embodiment 2
The embodiment of the present invention provides a kind of device real-time road being carried out to quality assessment, and this device can be terminal, and wherein, this terminal can be Floating Car disposal system platform etc.As shown in Figure 4, this device comprises: taxon 401, and extracting unit 402 determines real-time road condition information unit 403;
Taxon 401, for according to the distance travelled under the different conditions of each Floating Car that arbitrary road travels, classifies to the floating car data FCD of all Floating Car that described arbitrary the road obtained travels;
Extracting unit 402, for according to different classes of FCD, determines and extracts FCD to be extracted;
Determining real-time road condition information unit 403, for determining real-time road condition information according to the FCD described to be extracted extracted, and according to described real-time road condition information, quality assessment being carried out to described arbitrary road.
Further, as shown in Figure 5, described taxon 401 comprises acquisition module 4011, map-matching module 4012, the first judge module 4013, second judge module 4014, memory module 4015;
The distance travelled under the different conditions of described each Floating Car according to arbitrary road travels, when the FCD of all Floating Car that described arbitrary the road obtained travels is classified, acquisition module 4011 in described taxon 401, for obtaining the FCD of all Floating Car that arbitrary road travels;
The taxi that general use is a large amount of or bus as Floating Car, by mounted GPS car-mounted device and Wireless Telecom Equipment, using the foundation be sent to as evaluation path in Floating Car disposal system real-time for the FCD of acquisition.It should be noted that, the FCD of acquisition can be measured and read by mounted GPS car-mounted device and Wireless Telecom Equipment in real time, thus shorten the drive test cycle.Wherein, FCD can be stored in database, also can be stored in portable hard drive.When reading described FCD, Floating Car disposal system can be adopted to read.
After acquisition module 4011 carries out the FCD of each Floating Car that acquisition arbitrary road travels, map-matching module 4012 in described taxon 401, for carrying out map match according to described FCD, and the up all Floating Car of sailing of the first road are sorted according to running time order, described first road is arbitrary road in map.
Map match refers at different conditions by the proportioning between the map of the same scenery of acquisition, utilizes digital map to make positioning system more reliable, accurate.The path that the parameter such as the longitude and latitude utilizing FCD to comprise in Floating Car disposal system, empty and load state, time, instantaneous velocity, instantaneous direction and digitized map data storehouse provide and road net mate, and then determine the road that arbitrary Floating Car travels in map.After carrying out map match, start to carry out path culculating, main object is to obtain within specific one time cycle, the traffic route of arbitrary Floating Car.
Then sort according to running time order to the up all Floating Car of sailing of the first road, the present embodiment can adopt and sort according to time sequencing.Certainly, the embodiment of the present invention does not limit the mode of sequence.
Map match is carried out in map-matching module 4012, and after the up all Floating Car of sailing of the first road are sorted according to running time order, the first judge module 4013 in described taxon 401, for the different conditions according to the first Floating Car on described first road, judge whether described first Floating Car is loaded vehicle, described first Floating Car is in up arbitrary the Floating Car of sailing of described first road;
When described first Floating Car is loaded vehicle, the second judge module 4014 in described taxon 401, judges whether the Trace of described first Floating Car under described loaded vehicle state is more than or equal to preset travel distance; Described preset travel distance is less than the length of described first road.
When the Trace of described first Floating Car under described loaded vehicle state is more than or equal to described preset travel distance, the memory module 4015 in described taxon 401, is stored in the first database by the FCD of described first Floating Car;
A large amount of taxis can being adopted as Floating Car, thinking loaded vehicle state when there being passenger in Floating Car, when thinking complete vehicle curb condition without during passenger in Floating Car.
Wherein, can preset travel distance it be 15 kilometers.Concrete, when the first Floating Car is sailed the first road is up, and for the Trace under loaded vehicle state be more than or equal to preset travel distance time, the FCD of described first Floating Car is stored in the first database.The FCD number wherein stored in the first database can be designated as D1.
When described first Floating Car is empty wagons, described second judge module 4014, also for judging whether the Trace of described first Floating Car under described complete vehicle curb condition is more than or equal to described preset travel distance; Memory module 4015 in described taxon 401, also for when the Trace of described first Floating Car under described complete vehicle curb condition is more than or equal to described preset travel distance, be stored in the second database by the FCD of described first Floating Car, the FCD number stored in the second database can be designated as D2;
When the Trace of the first Floating Car is less than described preset travel distance, memory module 4015 in described taxon 401, also for when the Trace of described first Floating Car is less than described preset travel distance, be stored in by the FCD of described first Floating Car in the 3rd database, the FCD number stored in the 3rd database can be designated as D3.
In described taxon 401 according to the distance travelled under the different conditions of each Floating Car that arbitrary road travels, after the FCD of all Floating Car that described arbitrary the road obtained travels is classified, extracting unit 402, for according to different classes of FCD, determine and extract FCD to be extracted;
Further, as shown in Figure 5, described extracting unit 402 comprises determination module 4021, abstraction module 4022.
Determination module 4021 in described extracting unit 402, for according to K=(D1+D2+D3) * M% determines the number of FCD to be extracted, wherein K represents the number of described FCD to be extracted, D1 represents that the FCD number that described first database comprises, D2 represent that the FCD number that described second database comprises, D3 represent the FCD number that described 3rd database comprises, M% represents experience factor, namely M% value can be drawn by great many of experiments, such as, M% be less than 50% natural number.
After determination module 4021 determines above-mentioned K value, the abstraction module 4022 in described extracting unit 402, for as K≤D1, then randomly draws K bar FCD from described D1;
Described abstraction module 4022, also for working as K > D1, and during K≤(D1+D2), then randomly draws K bar FCD from described (D1+D2);
Described abstraction module 4022, also for as K > (D1+D2), then reduces described preset travel distance, and again classifies to the FCD obtained and determine according to different classes of FCD and extract FCD to be extracted.
It should be noted that, K can get immediate integer, and such as, when K is 10.3, then getting K is 10, and when K is 10.9, then getting K is 11.
According to the K bar FCD extracted, FCD to be extracted is put into after Floating Car disposal system carries out data processing, described device also comprises: determine real-time road condition information unit 403, for determining real-time road condition information according to the FCD described to be extracted extracted, and according to described real-time road condition information, quality assessment is carried out to described arbitrary road.
Further, as shown in Figure 5, determine that real-time road condition information unit 403 comprises: determine real-time road module 4031;
Determine real-time road module 4031, for the K bar FCD according to extraction, obtain first real-time road condition information of Trace corresponding to described FCD, described first real-time road condition information is included in the average overall travel speed of all Floating Car that described Trace travels or average running time.
Describedly determine real-time road module 4031, also for according in described (D1+D2+D3) bar FCD except extract described K bar FCD except FCD, obtain second real-time road condition information of Trace corresponding to described FCD, described second real-time road condition information is included in average running time or the average overall travel speed of all Floating Car that described Trace travels.
It should be noted that, the FCD in described (D1+D2+D3) bar FCD except the described K bar FCD extracted is [N%*(D1+D2+D3)], wherein, N%=(1-M%), then N% be greater than 50% number.
Further, as shown in Figure 5, determine that real-time road condition information unit 403 comprises: computing module 4032, contrast determination module 4033;
After determining that real-time road module 4031 determines the first real-time road condition information and the second real-time road condition information, according to described first real-time road condition information and the second real-time road condition information, quality assessment is carried out to described arbitrary road, the described computing module 4032 determined in real-time road unit 403, for basis
determine evaluation of estimate, wherein, P represents institute's evaluation values, and A1 represents described first real-time road condition information, and A2 represents described second real-time road condition information;
In computing module 4032 basis
after determining evaluation of estimate, the described contrast determination module 4033 determined in real-time road unit 403, for as P≤B, determine that the real-time road of described Trace is correct, wherein, B represents default evaluation of estimate; In the present embodiment, described default evaluation of estimate can for the natural number being less than or equal to 0.3.
Described contrast determination module 4033, also for as P>B, determines that the real-time road of described Trace is mistake.
Further, according to
determine the accuracy rate of described first road, wherein, H represents the accuracy rate of described first road, and B1 represents that in described first road, all Trace are correct number, and B2 represents the number of all Trace in described first road.
In the present embodiment, when accuracy is more than or equal to 70%, namely in described first road, Trace is that correct number accounts for more than 70% of total Trace number in the first road, then think that the real-time road quality of described first road is good; Certainly, accuracy shows that more greatly real-time road quality is better, and therefore accuracy can be greater than 70%.
When Trace in described first road is that correct number accounts for less than 70% of total Trace number in the first road, when namely accuracy is less than 70%, think the real-time road poor quality of described first road.
By the device to the quality assessment of the first road in map that the present embodiment provides, the quality assessment of arbitrary road in map can be obtained.
The embodiment of the present invention provides a kind of device real-time road being carried out to quality assessment, carry out FCD collection by a large amount of Floating Car simultaneously, and carry out the mode that FCD is measured in real time and read, shorten the time gathering FCD, and by a large amount of sample sizes and to gather FCD carry out strict classification, calculating, process, thus improve section test traffic information accuracy.
The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited thereto, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; change can be expected easily or replace, all should be encompassed within protection scope of the present invention.Therefore, protection scope of the present invention should described be as the criterion with the protection domain of claim.
Claims (10)
1. real-time road is carried out to a method for quality assessment, it is characterized in that, comprising:
The distance travelled under different conditions according to each Floating Car that arbitrary road travels, classifies to the floating car data FCD of all Floating Car that described arbitrary the road obtained travels;
According to different classes of FCD, determine and extract FCD to be extracted;
FCD described to be extracted according to extracting determines real-time road condition information, and carries out quality assessment according to described real-time road condition information to described arbitrary road;
Wherein, the distance travelled under the different conditions of described each Floating Car according to arbitrary road travels, classification is carried out to the FCD of all Floating Car that described arbitrary the road obtained travels and comprises:
Obtain the FCD of all Floating Car that arbitrary road travels;
Carry out map match according to described FCD, and sort according to running time order to the up all Floating Car of sailing of the first road, described first road is arbitrary road in map;
According to the different conditions of the first Floating Car on described first road, judge whether described first Floating Car is loaded vehicle, described first Floating Car is in up arbitrary the Floating Car of sailing of described first road;
When described first Floating Car is loaded vehicle, judge whether the driving trace Trace of described first Floating Car under described loaded vehicle state is more than or equal to preset travel distance, described preset travel distance is less than the length of described first road, described Trace is split described first road according to the empty and load state of Floating Car, the operating range of the described Floating Car of acquisition; When the Trace of described first Floating Car under described loaded vehicle state is more than or equal to described preset travel distance, the FCD of described first Floating Car is stored in the first database;
When described first Floating Car is empty wagons, judge whether the Trace of described first Floating Car under described complete vehicle curb condition is more than or equal to described preset travel distance; When the Trace of described first Floating Car under described complete vehicle curb condition is more than or equal to described preset travel distance, the FCD of described first Floating Car is stored in the second database;
When the Trace of described first Floating Car is less than described preset travel distance, the FCD of described first Floating Car is stored in the 3rd database.
2. method according to claim 1, is characterized in that, describedly determines according to different classes of FCD and extract FCD to be extracted to comprise:
The number of FCD to be extracted is determined according to K=(D1+D2+D3) * M%, wherein K represents the number of described FCD to be extracted, D1 represents the FCD number that described first database comprises, D2 represents the FCD number that described second database comprises, D3 represents the FCD number that described 3rd database comprises, and M% represents experience factor;
As K≤D1, then from described D1, randomly draw K bar FCD;
As K > D1, and during K≤(D1+D2), then from described (D1+D2), randomly draw K bar FCD;
As K > (D1+D2), then reduce described preset travel distance, and again the FCD obtained is classified and determines according to different classes of FCD and extract FCD to be extracted.
3. method according to claim 2, is characterized in that, the described FCD described to be extracted according to extracting determines that real-time road condition information comprises:
According to the K bar FCD extracted, obtain first real-time road condition information of Trace corresponding to described FCD, described first real-time road condition information is included in the average overall travel speed of all Floating Car that described Trace travels or average running time.
4. method according to claim 3, is characterized in that, after the described FCD described to be extracted according to extracting determines real-time road condition information, also comprises:
According to the FCD in described (D1+D2+D3) bar FCD except the described K bar FCD extracted, obtain second real-time road condition information of Trace corresponding to described FCD, described second real-time road condition information is included in average running time or the average overall travel speed of all Floating Car that described Trace travels.
5. method according to claim 4, is characterized in that, describedly carries out quality assessment according to described real-time road condition information to described arbitrary road and comprises:
According to
determine evaluation of estimate, wherein, P represents institute's evaluation values, and A1 represents described first real-time road condition information, and A2 represents described second real-time road condition information;
As P≤B, determine that the real-time road of described Trace is correct, wherein, B represents default evaluation of estimate;
As P>B, determine that the real-time road of described Trace is wrong.
6. real-time road is carried out to a device for quality assessment, it is characterized in that, comprising:
Taxon, for according to the distance travelled under the different conditions of each Floating Car that arbitrary road travels, classifies to the floating car data FCD of all Floating Car that described arbitrary the road obtained travels;
Extracting unit, for according to different classes of FCD, determines and extracts FCD to be extracted;
Determining real-time road condition information unit, for determining real-time road condition information according to the FCD described to be extracted extracted, and according to described real-time road condition information, quality assessment being carried out to described arbitrary road;
Wherein said taxon comprises:
Acquisition module, for obtaining the FCD of all Floating Car that arbitrary road travels;
Map-matching module, for carrying out map match according to described FCD, and sort according to running time order to the up all Floating Car of sailing of the first road, described first road is arbitrary road in map;
First judge module, for the different conditions according to the first Floating Car on described first road, judges whether described first Floating Car is loaded vehicle, and described first Floating Car is in up arbitrary the Floating Car of sailing of described first road;
Second judge module, for when described first Floating Car is loaded vehicle, judge whether the Trace of described first Floating Car under described loaded vehicle state is more than or equal to preset travel distance, described preset travel distance is less than the length of described first road, described Trace is split described first road according to the empty and load state of Floating Car, the operating range of the described Floating Car of acquisition;
Memory module, for when the Trace of described first Floating Car under described loaded vehicle state is more than or equal to described preset travel distance, is stored in the first database by the FCD of described first Floating Car;
Described second judge module, also for when described first Floating Car is empty wagons, judges whether the Trace of described first Floating Car under described complete vehicle curb condition is more than or equal to described preset travel distance; Described memory module, also for when the Trace of described first Floating Car under described complete vehicle curb condition is more than or equal to described preset travel distance, is stored in the second database by the FCD of described first Floating Car;
Described memory module, also for when the Trace of described first Floating Car is less than described preset travel distance, is stored in the FCD of described first Floating Car in the 3rd database.
7. device according to claim 6, is characterized in that, described extracting unit comprises:
Determination module, for determining the number of FCD to be extracted according to K=(D1+D2+D3) * M%, wherein K represents the number of described FCD to be extracted, D1 represents the FCD number that described first database comprises, D2 represents the FCD number that described second database comprises, D3 represents the FCD number that described 3rd database comprises, and M% represents experience factor;
Abstraction module, for as K≤D1, then randomly draws K bar FCD from described D1;
Described abstraction module, also for working as K > D1, and during K≤(D1+D2), then randomly draws K bar FCD from described (D1+D2);
Described abstraction module, also for as K > (D1+D2), then reduces described preset travel distance, and again classifies to the FCD obtained and determine according to different classes of FCD and extract FCD to be extracted.
8. device according to claim 7, is characterized in that, describedly determines that real-time road unit comprises:
Determine real-time road module, for the K bar FCD according to extraction, obtain first real-time road condition information of Trace corresponding to described FCD, described first real-time road condition information is included in the average overall travel speed of all Floating Car that described Trace travels or average running time.
9. device according to claim 8, is characterized in that,
Describedly determine real-time road module, also for the FCD in (D1+D2+D3) bar FCD according to process except the described K bar FCD extracted, obtain second real-time road condition information of Trace corresponding to described FCD, described second real-time road condition information is included in average running time or the average overall travel speed of all Floating Car that described Trace travels.
10. device according to claim 9, is characterized in that, describedly determines real-time road unit, comprising:
Computing module, for basis
determine evaluation of estimate, wherein, P represents institute's evaluation values, and A1 represents described first real-time road condition information, and A2 represents described second real-time road condition information;
Contrast determination module, for as P≤B, determine that the real-time road of described Trace is correct, wherein, B represents default evaluation of estimate;
Described contrast determination module, also for as P>B, determines that the real-time road of described Trace is mistake.
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