CN101807343A - Processing method and processing system based on floating car traffic information - Google Patents
Processing method and processing system based on floating car traffic information Download PDFInfo
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- CN101807343A CN101807343A CN201010033841A CN201010033841A CN101807343A CN 101807343 A CN101807343 A CN 101807343A CN 201010033841 A CN201010033841 A CN 201010033841A CN 201010033841 A CN201010033841 A CN 201010033841A CN 101807343 A CN101807343 A CN 101807343A
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Abstract
The invention discloses a processing method and a processing system based on floating car traffic information. The method comprises the following steps: acquiring raw GPS data of a floating car; reducing the raw GPS data of the floating car, and converting the data into a standard data format; and preprocessing the reduced raw GPS data of the floating car. The processing system comprises an acquisition device, a collation unit and a preprocessing unit. The invention can greatly increase the point matching rate, reduce the exception handling and enhance the effectiveness and efficiency of floating car traffic information processing.
Description
Technical field
(Intelligent Transport Systems, ITS) field relate in particular to a kind of disposal route and disposal system based on Floating Car (Floating Car) transport information to the present invention relates to intelligent transportation system.
Background technology
At intelligent transportation field, real-time and dynamic transport information can provide effective traffic programme information for vehicle driving, saves line time, increases work efficiency, reduces purposes such as energy resource consumption thereby reach.The technology of gathering traffic data has multiple, acquisition mode commonly used at present is buried coil checker (being called fixed detector again), but fixed detector exist installation and maintenance cost height, coverage little, only can detect deficiencies such as fixed position data, cause urban road to have a large amount of information " vacuum " area on the net.On behalf of the automated detection method of detecting device development trend, another kind can microwave radar, laser radar, ultrasound wave, video detection technology and unsteady technology etc. are arranged, but these methods are owing to the difference of acquisition principle adapts to different occasions, and great majority have specific (special) requirements for fabricating yard and environment.
(Global Position System GPS) gathers transport information with the Floating Car (claiming moving detector again) of Wireless Telecom Equipment, is a kind of new information acquisition mode to utilize vehicle-bone global positioning system.The positional information (Floating Car gps data) that writes down in the process of moving according to Floating Car, processing by correlation computations models such as data acquisition, data filter, map match, path culculating and Duo Che fusions, thereby Floating Car gps data and urban road network are associated on time and space, finally obtain traffic congestion information such as the Vehicle Speed of road that Floating Car is passed through and hourage.
Summary of the invention
The invention provides a kind of disposal route and disposal system based on floating car traffic information.
On the one hand, the disposal route based on floating car traffic information provided by the invention comprises the steps:
Obtain the original gps data of Floating Car;
The gps data that Floating Car is original is put in order, converted to standard data format;
The original gps data of Floating Car after the arrangement is carried out pre-service.
Further, the step of obtaining the original gps data of Floating Car is specially: according to the network communication and transmission protocol format, receive the original gps data of Floating Car from Surveillance center.
Further, the gps data that Floating Car is original is put in order, the step that converts standard data format to comprises: according to the requirement of Floating Car standard data format, from the original gps data of Floating Car, extract useful field, wherein, these useful fields comprise car source ID, vehicle ID, sampling time, latitude and longitude coordinates, speed, direction, state etc.; The position coordinates that derives from mapping is converted to the encryption coordinate that meets national regulation; And the Floating Car gps data after will putting in order is saved in the different timestamp files.
Preferably, when preserving the Floating Car gps data, judge the interval time of beginning time of reception:, otherwise be kept in the file that the current time stabs if less than the twice in passback cycle, then this Floating Car gps data is kept in the next timestamp file interval time apart from next timestamp.
Further, the original gps data of Floating Car after the arrangement is carried out pretreated step comprise: Floating Car gps data validity is judged, filtered invalid data; Valid data record number after filtering is added up; The result exports with preprocessed data.
Wherein, Floating Car gps data validity is judged comprised: judge whether mistake of this gps data latitude and longitude coordinates; Judge whether this gps data has exceeded the sampling period; Whether the latitude and longitude coordinates of judging this gps data has exceeded the longitude and latitude scope; Judge whether this gps data has exceeded the graticule mesh scope, wherein the graticule mesh scope is for specifying the scope of the graticule mesh of the past extraneous expansion of graticule mesh in the output graticule mesh scope; And, judge whether the state of Floating Car gps data is unloaded.
Valid data after filtering record number added up comprise: according to car source ID, vehicle ID, time sequencing sorts to gps data, and the gps data record that the sampling time is repeated and vehicle ID single gps data down write down and filter.
The preprocessed data result is exported the three kinds of situations that comprise: situation 1: car source ID, vehicle ID are all consistent with last record, and then this gps data leaves under the data structure of current car source ID, vehicle ID, and the gps data number adds one; Situation 2: car source ID is consistent with last record, vehicle ID and last record are inconsistent, and then vehicle ID number adds one, and replacement vehicle ID is current new vehicle ID, the gps data number of new vehicle ID is set to one, and this gps data leaves under the data structure of new vehicle ID; Situation 3: car source ID and last record are inconsistent.Then car source ID number adds one, and replacement car source ID is current new car source ID, and vehicle ID is current new vehicle ID, and the gps data number of new vehicle ID is set to one, and this gps data leaves new car source ID in, under the data structure of new vehicle ID.
On the other hand, corresponding to above-mentioned disposal route, the disposal system based on floating car traffic information provided by the invention comprises:
Harvester is used to obtain the original gps data of Floating Car;
The arrangement unit, the original gps data of Floating Car that is used for described harvester is obtained is put in order, converts standard data format to;
Pretreatment unit is used for the original gps data of Floating Car after the arrangement of described arrangement unit is carried out pre-service.
Particularly, described harvester can be used for according to the network communication and transmission protocol format, receives the original gps data of Floating Car from Surveillance center; Described arrangement unit can be used for according to the requirement of Floating Car standard data format, extracts useful field from the original gps data of Floating Car; The position coordinates that derives from mapping is converted to the encryption coordinate that meets national regulation; Floating Car gps data after the arrangement is saved in the different timestamp files; Described pretreatment unit can be used for Floating Car gps data validity is judged, filters invalid data; Valid data record number after filtering is added up; The result exports with preprocessed data.
By technical scheme provided by the invention as can be known, by utilizing the Floating Car technology, at first receive raw data from Surveillance center, then raw data is organized into standard data format, at last reduced data is carried out pre-service, filter the useless or misdata of no any reference value, can significantly improve a matching rate, reduce abnormal conditions and handle, improved validity and efficient that floating car traffic information is handled.
Description of drawings
In order to be illustrated more clearly in technical scheme of the present invention, the accompanying drawing of required use is done an introduction simply in will describing embodiment below.
Fig. 1 is the schematic flow sheet of a kind of disposal route based on floating car traffic information provided by the invention;
Fig. 2 is the signal for example of the graticule mesh scope among the present invention;
Fig. 3 is the composition pie graph of a kind of disposal system based on floating car traffic information provided by the invention.
Embodiment
For make purpose of the present invention, technical scheme, and advantage clearer, below in conjunction with the accompanying drawing embodiment that develops simultaneously, technical scheme provided by the invention is described in further detail.
Referring to accompanying drawing 1, a kind of disposal route based on floating car traffic information provided by the invention comprises following content:
11, obtain the original gps data of Floating Car.
Particularly, be according to the network communication and transmission protocol format, receive the original gps data of Floating Car from Surveillance center.
The Floating Car gps data generally is to adopt the mode of network service to send the Floating Car disposal system to by taxi company/dispatching and monitoring center (hereinafter to be referred as Surveillance center).By ICP/IP protocol, connect Surveillance center and Floating Car disposal system, in real time, correctly from Surveillance center's reception Floating Car gps data.
Because the network transmission protocol between Surveillance center and Floating Car disposal system is not quite similar, in order correctly to receive and handle the floating car data that receives from Surveillance center, need write a raw data and receive program, with application and the calculating that makes things convenient for the subsequent treatment program.In order to improve extensibility, native system can use the method for allocation list to dispose the network parameter that receives and send target.Dispose socket (Socket) by the network parameter that reads in the allocation list, accept original Floating Car gps data from Surveillance center then.
Original Floating Car gps data is preserved.Because follow-up when the Floating Car gps data is handled,,, often all be to the analysis of raw data with check beginning as searching unusual reason in case note abnormalities.In order to improve treatment effeciency, have only when the data that receive reach specified quantity in addition, just unified the processing.In the process of handling, ungratified for format error or logicality, these data need be stored in the wrong file simultaneously, in order to follow-up problem investigation.The data that those are finished dealing with are stored in the corresponding timestamp file according to the system time that receives.
12, the gps data that Floating Car is original is put in order, convert standard data format to.
The data that Floating Car is gathered generally comprise timestamp, position coordinates, instantaneous velocity, travel direction, running status and other contents.Because the taxi recorded data under different cities, the different monitoring center can be different at aspects such as parameter-definition, kind, forms, thus need become standard format to the data-switching that receives, so that subsequent treatment.The concrete steps of disposal data are as follows:
Step 1:, from the original gps data of Floating Car, extract useful field according to the requirement of Floating Car standard data format.
From the Floating Car raw data,, put these effective informations in order according to the floating car data call format.The content that must exist in the raw data: car source ID, vehicle ID, sampling time, latitude and longitude coordinates, speed and direction.If other field data does not exist, then the numerical value with appointment replenishes, and the logic of data is checked, as repeatability, and scope of numerical value such as coordinate, speed, direction or the like, the Floating Car gps data of filter false.Some Surveillance center also provides some extended fields in addition, if these extended fields for follow-up map match, recommend to be of little use in the path, also being needs to filter.
Arrangement back data structure only need comprise these useful fields such as car source ID, vehicle ID, sampling time, longitude, latitude, speed, direction, state, deletes those useless extended fields.In order to make data preparation energy adaptation as much as possible various places data, the present invention can adopt the method for allocation list to come the data of data of description structure and extraction in addition.
Step 2: the position coordinates that derives from mapping is converted to the encryption coordinate that meets national regulation.
Step 3: the Floating Car gps data after will putting in order is saved in the different timestamp files.
Evaluation criterion for Floating Car gps data system generally includes real-time, precision and system's coverage rate.For the real-time and the feasibility of transport information, the Floating Car gps data after the arrangement need be saved in the different timestamp files.Floating Car disposal system of the present invention is to be that a timestamp is preserved the Floating Car gps data with five minutes.
When preserving the Floating Car gps data, need to judge the interval time of beginning time of reception: if interval time is less than the twice in passback cycle apart from next timestamp, then this Floating Car gps data is kept in the next timestamp file, otherwise is kept in the file of current time stamp.Because if twice less than the passback cycle, this vehicle ID has only a gps data in stabbing in the current time so, can not carry out follow-up path culculating, but this Floating Car gps data but is valid data, so the present invention is when preserving the Floating Car gps data, if the beginning time of reception then is kept at this Floating Car gps data in the next timestamp file apart from the interval time of next timestamp of the twice less than the passback cycle.Can effectively avoid the valid data that run off like this, improve the coverage rate of Floating Car system.
For example: the beginning time of reception is 4 ' 30 ", the passback cycle is 60 seconds.At 4 ' 30 " this time, next timestamp is 5 ' 00 ", then the next timestamp of distance is 30 seconds, less than the twice in passback cycle, so this gps data is existed 5 ' 00 " under this timestamp file.
13, the original gps data of Floating Car after the arrangement is carried out pre-service.
Generally speaking, the precision of gps data is about 15m.Because the GPS terminal is by odjective causes such as buildings block, indivedual gps datas can produce drift error.The processing of subsequent module for convenience needs in advance the gps data of Floating Car to be carried out the arrangement and the ordering of data recording successively in proper order according to car source ID, vehicle ID, time order and function.The pretreated concrete steps of data are as follows:
Step 1: Floating Car gps data validity is judged, filtered invalid data.
The GPS dot position information quality that Floating Car sent out is very different, there is the gibberish that exceeds sampling period and coverage, also may there be no any reference value of useless or misdata calculate to(for) the congestion in road state, this need judge gps data self validity and state, filters invalid data.
Floating Car gps data self is carried out availability deciding, comprises following content:
(1) judges whether mistake of this gps data latitude and longitude coordinates;
(2) judge whether this gps data has exceeded the sampling period;
(3) whether the latitude and longitude coordinates of judging this gps data has exceeded the longitude and latitude scope;
(4) judge whether this gps data has exceeded the graticule mesh scope;
In order to prevent to filter valid data, the graticule mesh scope is for specifying the scope of the graticule mesh of the past extraneous expansion of graticule mesh in the output graticule mesh scope.As shown in Figure 2, blank graticule mesh is for specifying the output area graticule mesh, the graticule mesh scope that the grey grid increases for the expansion back.
The state of Floating Car gps data (state) generally include zero load, fully loaded, other etc. these several states, the taxi of non-carrying state can be moored in the roadside or slowly travel along the road and receive guests, therefore the data of gathering can not truly reflect road conditions at that time, and when instantaneous velocity is very little, gps data tends to produce serious static drift phenomenon, therefore need to reject in advance data such as being recorded as zero load, in the hope of the current road conditions of true reflection.
Step 2: the valid data record number after filtering is added up.
The incident of the longitude and latitude by judgment data successively, sampling period, graticule mesh scope, gps data, state etc. are provided with the data validity zone bit.After setting up the validity of data, according to car source ID, vehicle ID, time sequencing sorts to gps data, convenient follow-up effective record counting.
The valid data record counting, effective gps data amount of promptly adding up car source ID number, vehicle ID number, each vehicle ID.By the statistics of effective record number, can primary distribution vehicle source number, the space of vehicle number, GPS point data, can improve treatment effeciency.The method of statistics is specially:
Judge at first whether this record and preceding record are with car source ID, judge then with preceding record whether be same vehicle ID, judge again at last whether the sampling time repeat, and the gps data record that repeats of sampling by filtration time.Effective record number can be added up by above three steps, and single gps data record under the vehicle ID can be filtered by adding up effective record number.
If promptly car source ID is consistent with last record, but vehicle ID and last record are inconsistent, if the gps data under the then current vehicle ID writes down number smaller or equal to one, then this record is the single-point gps data record under this vehicle ID, are to need to filter.If perhaps car source ID and current record are inconsistent, then judge the vehicle ID under the ID of front truck source, if the record of the gps data under this vehicle ID number is smaller or equal to one, then this record is the single-point gps data record under this vehicle ID, also be to need to filter, this is that this gps data can't be used for follow-up path culculating so because if a vehicle ID has only a gps data, so this gps data is invalid.
Step 3: the result exports with preprocessed data.
To valid data, should judge then whether this record and preceding record are with car source ID, whether judgement is same vehicle ID with preceding record then.Here divide three kinds of situations:
Situation 1: car source ID, vehicle ID are all consistent with last record, and then this gps data leaves under the data structure of current car source ID, vehicle ID, and the gps data number adds one.
Situation 2: car source ID is consistent with last record, vehicle ID and last record are inconsistent, then this vehicle ID is a new ID, so vehicle ID number adds one, replacement vehicle ID is current new vehicle ID, the gps data number of new vehicle ID is set to one, and this gps data leaves under the data structure of new vehicle ID.
Situation 3: car source ID and last record are inconsistent.Then this car source ID is a new car source ID, and this vehicle ID is the new vehicle ID of under the ID of new car source.So car source ID number adds one, replacement car source ID is current new car source ID, and vehicle ID is current new vehicle ID, and the gps data number of new vehicle ID is set to one, and this gps data leaves new car source ID in, under the data structure under the new vehicle ID.
Empirical evidence can significantly improve a matching rate after the pre-service of original gps data process data, passes through the data pre-service in addition, and it will be more simple and convenient that map match is handled, and reduce abnormal conditions and handle, and can improve the validity and quickening treatment effeciency of processing.Therefore, it is very necessary before calculating the gps data that receives to be carried out pre-service.
Compare with automatic testing method with the existing fixed detecting device: the Floating Car technology need not increase road equipment, and environment is not had negative effect; Detection information can embody the motion of road traffic flow real-time dynamicly; Wide coverage; The bearing accuracy height, comprise the instantaneous velocity of driving vehicle in the locator data in the location moment and position location, the variation characteristic that has contained the road wagon flow, and when a large amount of Floating Car is moved, just can reflect the traffic circulation situation of whole road network in real time in road network.
The present invention utilizes the Floating Car technology, at first receive raw data from Surveillance center, then raw data is organized into standard data format, at last reduced data is carried out pre-service, filter the useless or misdata of no any reference value, can significantly improve a matching rate, reduce abnormal conditions and handle, improve validity and efficient that floating car traffic information is handled.
Referring to accompanying drawing 3, corresponding above-mentioned method embodiment, the present invention also provides a kind of disposal system based on floating car traffic information, comprising:
Harvester 31 is used to obtain the original gps data of Floating Car;
Arrangement unit 32, the original gps data of Floating Car that is used for described harvester 31 is obtained is put in order, converts standard data format to;
Pretreatment unit 33 is used for the original gps data of Floating Car after 32 arrangements of described arrangement unit is carried out pre-service.Particularly,
Described harvester 31 is used for according to the network communication and transmission protocol format, receives the original gps data of Floating Car from Surveillance center.
Described arrangement unit 32 is used for according to the requirement of Floating Car standard data format, extracts useful field from the original gps data of Floating Car; The position coordinates that derives from mapping is converted to the encryption coordinate that meets national regulation; Floating Car gps data after the arrangement is saved in the different timestamp files.
Described pretreatment unit 33 is used for Floating Car gps data validity is judged, filters invalid data; Valid data record number after filtering is added up; The result exports with preprocessed data.
The disposal route of each device or unit in the system can not repeat them here referring to the above-mentioned disposal route based on floating car traffic information.
Should be appreciated that, the invention is not restricted to disclosed embodiment.For those skilled in the art, all under the prerequisite that does not break away from the principle of the invention, any modification of being done, be equal to replacement, improvement etc., all should be included within protection scope of the present invention.
Claims (13)
1. the disposal route based on floating car traffic information is characterized in that, comprising:
Obtain the original gps data of Floating Car;
The gps data that Floating Car is original is put in order, converted to standard data format;
The original gps data of Floating Car after the arrangement is carried out pre-service.
2. disposal route as claimed in claim 1 is characterized in that, the described original gps data of Floating Car that obtains comprises:
According to the network communication and transmission protocol format, receive the original gps data of Floating Car from Surveillance center.
3. disposal route as claimed in claim 1 is characterized in that, described the original gps data of Floating Car is put in order, converts standard data format to and comprises:
According to the requirement of Floating Car standard data format, from the original gps data of Floating Car, extract useful field;
The position coordinates that derives from mapping is converted to the encryption coordinate that meets national regulation;
Floating Car gps data after the arrangement is saved in the different timestamp files.
4. disposal route as claimed in claim 3 is characterized in that, the described useful field of extracting from the original gps data of Floating Car comprises:
Car source ID, vehicle ID, sampling time, latitude and longitude coordinates, speed, direction, state.
5. disposal route as claimed in claim 3 is characterized in that, the Floating Car gps data after described will the arrangement in order is saved in the different timestamp files and is specially:
When preserving the Floating Car gps data, judge the interval time of beginning time of reception: if interval time is less than the twice in passback cycle apart from next timestamp, then this Floating Car gps data is kept in the next timestamp file, otherwise is kept in the file of current time stamp.
6. disposal route as claimed in claim 1 is characterized in that, described the original gps data of Floating Car after the arrangement is carried out pre-service and comprises:
Floating Car gps data validity is judged, filtered invalid data;
Valid data record number after filtering is added up;
The result exports with preprocessed data.
7. disposal route as claimed in claim 6 is characterized in that, described Floating Car gps data validity is judged comprise:
Judge whether mistake of this gps data latitude and longitude coordinates;
Judge whether this gps data has exceeded the sampling period;
Whether the latitude and longitude coordinates of judging this gps data has exceeded the longitude and latitude scope;
Judge whether this gps data has exceeded the graticule mesh scope, wherein the graticule mesh scope is for specifying the scope of the graticule mesh of the past extraneous expansion of graticule mesh in the output graticule mesh scope; And,
Whether the state of judging the Floating Car gps data is unloaded.
8. disposal route as claimed in claim 6 is characterized in that, described valid data record number after filtering is added up comprises:
According to car source ID, vehicle ID, time sequencing sorts to gps data, and the gps data record of sampling time repetition and the single gps data record under the vehicle ID are filtered.
9. disposal route as claimed in claim 6 is characterized in that, described the preprocessed data result is exported the three kinds of situations that comprise:
Situation 1: car source ID, vehicle ID are all consistent with last record, and then this gps data leaves under the data structure of current car source ID, vehicle ID, and the gps data number adds one;
Situation 2: car source ID is consistent with last record, vehicle ID and last record are inconsistent, and then vehicle ID number adds one, and replacement vehicle ID is current new vehicle ID, the gps data number of new vehicle ID is set to one, and this gps data leaves under the data structure of new vehicle ID;
Situation 3: car source ID and last record are inconsistent.Then car source ID number adds one, and replacement car source ID is current new car source ID, and vehicle ID is current new vehicle ID, and the gps data number of new vehicle ID is set to one, and this gps data leaves new car source ID in, under the data structure of new vehicle ID.
10. the disposal system based on floating car traffic information is characterized in that, comprising:
Harvester is used to obtain the original gps data of Floating Car;
The arrangement unit, the original gps data of Floating Car that is used for described harvester is obtained is put in order, converts standard data format to;
Pretreatment unit is used for the original gps data of Floating Car after the arrangement of described arrangement unit is carried out pre-service.
11. disposal system as claimed in claim 10 is characterized in that, described harvester specifically is used for according to the network communication and transmission protocol format, receives the original gps data of Floating Car from Surveillance center.
12. disposal system as claimed in claim 10 is characterized in that, described arrangement unit specifically is used for according to the requirement of Floating Car standard data format, extracts useful field from the original gps data of Floating Car; The position coordinates that derives from mapping is converted to the encryption coordinate that meets national regulation; Floating Car gps data after the arrangement is saved in the different timestamp files.
13. disposal system as claimed in claim 10 is characterized in that, described pretreatment unit specifically is used for Floating Car gps data validity is judged, filters invalid data; Valid data record number after filtering is added up; The result exports with preprocessed data.
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| CN201010033841A CN101807343A (en) | 2010-01-08 | 2010-01-08 | Processing method and processing system based on floating car traffic information |
| PCT/CN2010/079438 WO2011082613A1 (en) | 2010-01-08 | 2010-12-03 | Processing method and processing system based on traffic information of floating car |
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| CN201010033841A CN101807343A (en) | 2010-01-08 | 2010-01-08 | Processing method and processing system based on floating car traffic information |
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| WO2011082613A1 (en) * | 2010-01-08 | 2011-07-14 | 北京世纪高通科技有限公司 | Processing method and processing system based on traffic information of floating car |
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| CN103093608A (en) * | 2011-10-31 | 2013-05-08 | 北京掌城科技有限公司 | Filtering method and system of high-frequency global position system (GPS) data |
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