CN103593973A - Urban road traffic situation assessment system - Google Patents
Urban road traffic situation assessment system Download PDFInfo
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- CN103593973A CN103593973A CN201210553037.8A CN201210553037A CN103593973A CN 103593973 A CN103593973 A CN 103593973A CN 201210553037 A CN201210553037 A CN 201210553037A CN 103593973 A CN103593973 A CN 103593973A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
Abstract
The invention discloses an urban road traffic situation assessment system. The urban road traffic situation assessment system comprises a data acquisition subsystem, a cloud storage subsystem, a traffic situation assessment subsystem and a traffic information issuing subsystem, wherein initial traffic flow information is acquired by the data acquisition subsystem through a GPS floating vehicle and a fixed detector, the initial traffic flow information data is stored in a cloud storage mode by the cloud storage subsystem, management on users of the urban road traffic situation assessment system and the initial traffic flow information is carried out by the cloud storage subsystem, preprocessing on the initial traffic flow information is carried out by the traffic situation assessment subsystem, restoration processing on missed initial traffic flow information within five continuous sampling time segments is carried out, after fusion of the complete traffic flow information and the restored traffic flow information is carried out, a present traffic situation is determined by employing a cloud method and a rough set method, and the present traffic situation is issued to the public by the traffic information issuing subsystem. The urban road traffic situation assessment system has advantages of relatively high reliability, relatively high precision and relatively high real-time performance and is widely applied to traffic assessment.
Description
Technical field
The present invention relates to assessment technology, particularly a kind of urban highway traffic Situation Assessment system.
Background technology
In recent years, along with expanding economy, city automobile recoverable amount is rapid growth, and to urban transportation, operation brings huge pressure, and urban road congestion phenomenon is more and more serious.According to statistics, the economic loss that the U.S. causes because of traffic jam is every year about 41,000,000,000 dollars, the economic loss that cause because of traffic congestion every year in 9 main big cities of Canada all between 2,300,000,000 dollars to 3,700,000,000 dollars, etc.Based on these problems, traffic situation assessment becomes an extremely urgent problem.
At present, at home and abroad developed country and area are applied for traffic situation assessment.Such as, traffic behavior assessment based on GPS Floating Car, because it is not in conjunction with the resource of GPS Floating Car and the resource of road fixation of sensor, and by GPS floating car data, be only single source data, therefore reliability and the precision of the traffic behavior assessment based on GPS Floating Car are poor.In addition, some research institutions adopt Multiple Source Sensor information fusion technology to carry out traffic status identification both at home and abroad, but the not yet ripe application of achievement in research.
Application number is that 200910237285.X, denomination of invention are set up the binary tree structure of traffic status identification for " a kind of method for identifying traffic status of express way based on information fusion " Chinese invention patent application adopts right to make decision method, and merged and obtain final fusion results step by step.But this patented claim need to be carried out sample training step by step, make that its calculated amount is large, real-time is poor.
In prior art, there is all problems such as poor of reliability, precision, real-time in traffic status identification technology.
Summary of the invention
In view of this, fundamental purpose of the present invention is to provide all higher urban highway traffic Situation Assessment systems of a kind of reliability, precision, real-time.
In order to achieve the above object, the technical scheme that the present invention proposes is:
A Situation Assessment system, comprises data acquisition subsystem, cloud storage subsystem, traffic situation evaluation subsystem, transport information issue subsystem; Wherein,
Data acquisition subsystem, for by the initial telecommunication flow information of fixed detector collection that comprises coil checker and microwave detector of installing on GPS Floating Car, the same section of urban road, and is sent to cloud storage subsystem an initial telecommunication flow information.
Cloud storage subsystem, for the initial telecommunication flow information sending with cloud storage mode storage data acquisition subsystem; Also for described urban highway traffic Situation Assessment system user, initial telecommunication flow information are managed.
Traffic situation evaluation subsystem, for carrying out pre-service to the initial telecommunication flow information reading from cloud storage subsystem, to obtain complete telecommunication flow information; The initial telecommunication flow information lacking in continuous 5 sampling times is carried out to repair process, to obtain the telecommunication flow information of reparation; After the telecommunication flow information of complete telecommunication flow information, reparation is merged, adopt cloud method and rough set method to determine current traffic situation.
Transport information issue subsystem, for issuing current traffic situation to the public.
In sum, in urban highway traffic Situation Assessment system of the present invention, cloud storage subsystem realizes the effective storage to the initial telecommunication flow information of magnanimity.Traffic situation evaluation subsystem carries out pre-service to initial telecommunication flow information, to filter out the complete information of the magnitude of traffic flow, and the incomplete information of the magnitude of traffic flow is repaired; After the telecommunication flow information of complete telecommunication flow information, reparation is merged, adopt cloud method and rough set method to determine current traffic situation; Finally, by transport information issue subsystem, to the public, announce current traffic situation.Because urban highway traffic Situation Assessment system of the present invention adopts pre-service measure, delete some unreasonable messages in initial telecommunication flow information, make sample information more accurate; The incomplete information of the magnitude of traffic flow is repaired, make the information of participation assessment more reliable, accurate, and real-time is stronger; The inventive method finally adopts cloud method and rough set method to assess, and makes reliability, precision, the real-time of urban road traffic state assessment all higher.
Accompanying drawing explanation
In order to be illustrated more clearly in the embodiment of the present invention or technical scheme of the prior art, to the accompanying drawing of required use in embodiment or description of the Prior Art be briefly described below, apparently, accompanying drawing in the following describes is only some embodiments of the present invention, for those of ordinary skills, do not paying under the prerequisite of creative work, can also obtain according to these accompanying drawings other accompanying drawing.
Fig. 1 is the composition structural representation of urban highway traffic Situation Assessment system of the present invention;
Fig. 2 is the composition structural representation of traffic situation evaluation subsystem of the present invention;
Fig. 3 is the composition structural representation of pretreatment unit of the present invention.
Embodiment
Below in conjunction with accompanying drawing of the present invention, technical scheme of the present invention is clearly and completely described, obviously, described embodiment is only the present invention's part embodiment, rather than whole embodiment.Embodiment based in the present invention, those of ordinary skills, not making the every other embodiment obtaining under creative work prerequisite, belong to the scope of protection of the invention.
Fig. 1 is the composition structural representation of urban highway traffic Situation Assessment system of the present invention.As shown in Figure 1, a kind of urban highway traffic Situation Assessment system of the present invention, comprises data acquisition subsystem 1, cloud storage subsystem 2, traffic situation evaluation subsystem 3, transport information issue subsystem 4; Wherein,
In the present invention, initial telecommunication flow information comprises flow, travel speed, occupation rate.
Cloud storage subsystem 2, for the initial telecommunication flow information sending with cloud storage mode storage data acquisition subsystem 1; Also for described urban highway traffic Situation Assessment system user, initial telecommunication flow information are managed.
Traffic situation evaluation subsystem 3, for carrying out pre-service to the initial telecommunication flow information reading from cloud storage subsystem 2, to obtain complete telecommunication flow information; The initial telecommunication flow information lacking in continuous 5 sampling times is carried out to repair process, to obtain the telecommunication flow information of reparation; After the telecommunication flow information of complete telecommunication flow information, reparation is merged, adopt cloud method and rough set method to determine current traffic situation.
Transport information issue subsystem 4, for issuing current traffic situation to the public.
In a word, in urban highway traffic Situation Assessment system of the present invention, cloud storage subsystem realizes the effective storage to the initial telecommunication flow information of magnanimity.Traffic situation evaluation subsystem carries out pre-service to initial telecommunication flow information, to filter out the complete information of the magnitude of traffic flow, and the incomplete information of the magnitude of traffic flow is repaired; After the telecommunication flow information of complete telecommunication flow information, reparation is merged, adopt cloud method and rough set method to determine current traffic situation; Finally, by transport information issue subsystem, to the public, announce current traffic situation.Because urban highway traffic Situation Assessment system of the present invention adopts pre-service measure, delete some unreasonable messages in initial telecommunication flow information, make sample information more accurate; The incomplete information of the magnitude of traffic flow is repaired, make the information of participation assessment more reliable, accurate, and real-time is stronger; The inventive method finally adopts cloud method and rough set method to assess, and makes reliability, precision, the real-time of urban road traffic state assessment all higher.
In the present invention, cloud storage subsystem 2 comprises cloud stored data base, service management unit, Data Management Unit; Wherein,
Cloud stored data base, under the control of Data Management Unit, the initial telecommunication flow information sending with cloud storage mode storage data acquisition subsystem 1.
Service management unit, for adding, delete described urban highway traffic Situation Assessment system user, described urban highway traffic Situation Assessment system user authority is set, for the described urban highway traffic Situation Assessment system user of different stage arranges different functions.
Initial telecommunication flow information is derived, deleted to Data Management Unit for the initial telecommunication flow information of described data acquisition subsystem collection is write to cloud stored data base, and from cloud stored data base.
Fig. 2 is the composition structural representation of traffic situation evaluation subsystem of the present invention.As shown in Figure 2, traffic situation evaluation subsystem 3 of the present invention comprises data pretreatment unit 31, integrated unit 32, traffic status identification unit 33; Wherein,
Pretreatment unit 31, for the initial telecommunication flow information reading from cloud storage subsystem 2 is carried out to rule detection, threshold test, abnormal data recognition detection successively, obtains complete telecommunication flow information; The initial telecommunication flow information lacking in continuous 5 sampling times is carried out to repair process, to obtain the telecommunication flow information of reparation; And the telecommunication flow information of complete telecommunication flow information, reparation is sent to integrated unit 32.
Integrated unit 32, for pretreatment unit 31 is sent from the complete telecommunication flow information of GPS Floating Car and fixed detector, the travel speed of the telecommunication flow information of reparation merges, and the telecommunication flow information that obtains fusion is sent to traffic status identification unit 33.
Traffic status identification unit 33, for carrying out, after cloud identification, obtaining telecommunication flow information cloud to the telecommunication flow information of the fusion of integrated unit 32 transmissions; Adopt rough set method to delete successively the conditional attribute of redundancy in telecommunication flow information cloud and repetition, unnecessary property value, obtain about flow, travel speed, occupation rate and decision rule unimpeded, that walk or drive slowly, generally block up or block up between four kinds of traffic behaviors, to determine current traffic behavior.
Fig. 3 is the composition structural representation of pretreatment unit of the present invention.As shown in Figure 3, this is sent out pretreatment unit 31 described and comprises rule detection module 311, threshold test module 312, abnormal data recognition detection module 313, repairs module 314; Wherein,
Rule detection module 311, for adopting rule as shown in the table to detect the initial telecommunication flow information reading from cloud storage subsystem 2: wherein, q is that the magnitude of traffic flow, o are that occupation rate, v are speed;
| Sequence number | Rule | Judgement | Processing mode |
| 1 | q＝0，o＝0，v＝0 | Disappearance or true | Carry out next step check |
| 2 | q≠0，o＝0，v＝0 | Mistake | Delete |
| 3 | q＝0，o≠0，v＝0 | Mistake | Delete |
| 4 | q＝0，o＝1，v＝0 | Stop completely | Carry out next step check |
| 5 | q＝0，o＝0，v≠0 | Mistake | Delete |
| 6 | q＝0，o≠0，v≠0 | Mistake | Delete |
| 7 | q≠0，o≠0，v＝0 | Mistake | Delete |
| 8 | q≠0，o＝0，v≠0 | Uncertain | Carry out next step check |
| 9 | q≠0，o≠0，v≠0 | Uncertain | Carry out next step check |
When initial telecommunication flow information mistake, delete this initial telecommunication flow information; When initial telecommunication flow information disappearance, true, uncertain or while be complete dead ship condition, initial telecommunication flow information is sent to threshold test module 312 as the first centre telecommunication flow information.
Threshold test module 312, whether the speed v of the first middle telecommunication flow information sending for judgment rule detection module 311 meets
if met, in the middle of first, telecommunication flow information telecommunication flow information in the middle of second is sent to abnormal data recognition detection module 313; If do not met, delete this first middle telecommunication flow information.
Abnormal data recognition detection module 313, for expectation and the variance being worth according to front n of the second middle telecommunication flow information, whether the fluctuation that judges telecommunication flow information in the middle of second is normal: if normal, using telecommunication flow information in the middle of second as complete telecommunication flow information, and be sent to integrated unit 32; If undesired, the second middle telecommunication flow information is deleted.
Repair module, for the initial telecommunication flow information lacking in continuous 5 sampling times of reading from cloud storage subsystem 2 is carried out to repair process, to obtain the telecommunication flow information of reparation, be specially: adopt
initial telecommunication flow information to disappearance is repaired; Wherein,
be the reparation value of the telecommunication flow information of i disappearance, Hx
jbe the initial telecommunication flow information of the collection of j GPS Floating Car, coil checker or microwave detector, w
ijbe the initial telecommunication flow information of collection of j GPS Floating Car, coil checker or microwave detector with respect to the weights of telecommunication flow information of i disappearance, and
Wherein,
it is the individual initially related coefficient of telecommunication flow information of front k of the initial telecommunication flow information of front k of initial telecommunication flow information and the initial telecommunication flow information of i disappearance from j GPS Floating Car, coil checker or microwave detector of i disappearance.
In the present invention, the described telecommunication flow information to complete telecommunication flow information, reparation is fused to: according to
telecommunication flow information to complete telecommunication flow information, reparation; Wherein,
for the road average travel speed in the telecommunication flow information of complete telecommunication flow information and reparation, W
mfor the weights of m section of road,
for m section of road from GPS Floating Car with the complete telecommunication flow information of fixed detector, in the telecommunication flow information of reparation travel speed mate average velocity.At this, obtain mating average velocity after utilizing the speed of fixed detector to calibrate Floating Car speed
The weights W of m section of described road
mpreparation method be:
wherein,
for hessian matrix, g
nfor coefficient.
The above; be only the specific embodiment of the present invention, but protection scope of the present invention is not limited to this, is anyly familiar with those skilled in the art in the technical scope that the present invention discloses; can expect easily changing or replacing, within all should being encompassed in protection scope of the present invention.Therefore, protection scope of the present invention should be as the criterion by the described protection domain with claim.
Claims (7)
1. a urban highway traffic Situation Assessment system, is characterized in that, described evaluating system comprises data acquisition subsystem, cloud storage subsystem, traffic situation evaluation subsystem, transport information issue subsystem; Wherein,
Data acquisition subsystem, for by the initial telecommunication flow information of fixed detector collection that comprises coil checker and microwave detector of installing on GPS Floating Car, the same section of urban road, and is sent to cloud storage subsystem an initial telecommunication flow information;
Cloud storage subsystem, for the initial telecommunication flow information sending with cloud storage mode storage data acquisition subsystem; Also for described urban highway traffic Situation Assessment system user, initial telecommunication flow information are managed;
Traffic situation evaluation subsystem, for carrying out pre-service to the initial telecommunication flow information reading from cloud storage subsystem, to obtain complete telecommunication flow information; The initial telecommunication flow information lacking in continuous 5 sampling times is carried out to repair process, to obtain the telecommunication flow information of reparation; After the telecommunication flow information of complete telecommunication flow information, reparation is merged, adopt cloud method and rough set method to determine current traffic situation;
Transport information issue subsystem, for issuing current traffic situation to the public.
2. urban highway traffic Situation Assessment system according to claim 1, is characterized in that, described initial telecommunication flow information comprises flow, travel speed, occupation rate.
3. urban highway traffic Situation Assessment system according to claim 1, is characterized in that, described cloud storage subsystem comprises cloud stored data base, service management unit, Data Management Unit; Wherein,
Cloud stored data base, under the control of Data Management Unit, stores with cloud storage mode the initial telecommunication flow information that described data acquisition subsystem sends;
Service management unit, for adding, delete described urban highway traffic Situation Assessment system user, described urban highway traffic Situation Assessment system user authority is set, for the described urban highway traffic Situation Assessment system user of different stage arranges different functions;
Initial telecommunication flow information is derived, deleted to Data Management Unit for the initial telecommunication flow information of described data acquisition subsystem collection is write to cloud stored data base, and from cloud stored data base.
4. urban highway traffic Situation Assessment system according to claim 2, is characterized in that, described traffic situation evaluation subsystem comprises data pretreatment unit, integrated unit, traffic status identification unit; Wherein,
Pretreatment unit, for the initial telecommunication flow information reading from described cloud storage subsystem is carried out to rule detection, threshold test, abnormal data recognition detection successively, obtains complete telecommunication flow information; The initial telecommunication flow information lacking in continuous 5 sampling times is carried out to repair process, to obtain the telecommunication flow information of reparation; And the telecommunication flow information of complete telecommunication flow information, reparation is sent to integrated unit;
Integrated unit, for pretreatment unit is sent from the complete telecommunication flow information of GPS Floating Car and fixed detector, the travel speed of the telecommunication flow information of reparation merges, and the telecommunication flow information that obtains fusion is sent to traffic status identification unit;
Traffic status identification unit, for carrying out, after cloud identification, obtaining telecommunication flow information cloud to the telecommunication flow information of the fusion of integrated unit transmission; Adopt rough set method to delete successively the conditional attribute of redundancy in telecommunication flow information cloud and repetition, unnecessary property value, obtain about flow, travel speed, occupation rate and decision rule unimpeded, that walk or drive slowly, generally block up or block up between four kinds of traffic behaviors, to determine current traffic behavior.
5. urban highway traffic Situation Assessment system according to claim 4, is characterized in that, described pretreatment unit comprises rule detection module, threshold test module, abnormal data recognition detection module, repairs module; Wherein,
Rule detection module, for adopting rule as shown in the table to detect the initial telecommunication flow information reading from described cloud storage subsystem: wherein, q is that the magnitude of traffic flow, o are that occupation rate, v are speed;
When initial telecommunication flow information mistake, delete this initial telecommunication flow information; When initial telecommunication flow information disappearance, true, uncertain or while be complete dead ship condition, initial telecommunication flow information is sent to threshold test module as the first centre telecommunication flow information;
Threshold test module, whether the speed v of the first middle telecommunication flow information sending for judgment rule detection module meets
if met, in the middle of first, telecommunication flow information telecommunication flow information in the middle of second is sent to abnormal data recognition detection module; If do not met, delete this first middle telecommunication flow information;
Abnormal data recognition detection module, for expectation and the variance being worth according to front n of the second middle telecommunication flow information, whether the fluctuation that judges telecommunication flow information in the middle of second is normal: if normal, using the second middle telecommunication flow information as complete telecommunication flow information, and be sent to described integrated unit; If undesired, the second middle telecommunication flow information is deleted;
Repair module, for the initial telecommunication flow information lacking in continuous 5 sampling times of reading from cloud storage subsystem 2 is carried out to repair process, to obtain the telecommunication flow information of reparation, be specially: adopt
initial telecommunication flow information to disappearance is repaired; Wherein,
be the reparation value of the telecommunication flow information of i disappearance, Hx
jbe the initial telecommunication flow information of the collection of j GPS Floating Car, coil checker or microwave detector, w
ijbe the initial telecommunication flow information of collection of j GPS Floating Car, coil checker or microwave detector with respect to the weights of telecommunication flow information of i disappearance, and
Wherein,
it is the individual initially related coefficient of telecommunication flow information of front k of the initial telecommunication flow information of front k of initial telecommunication flow information and the initial telecommunication flow information of i disappearance from j GPS Floating Car, coil checker or microwave detector of i disappearance.
6. urban highway traffic Situation Assessment system according to claim 2, is characterized in that, the described telecommunication flow information to complete telecommunication flow information, reparation is fused to: according to
telecommunication flow information to complete telecommunication flow information, reparation; Wherein,
for the road average travel speed in the telecommunication flow information of complete telecommunication flow information and reparation, W
mfor the weights of m section of road,
for m section of road from GPS Floating Car with the complete telecommunication flow information of fixed detector, in the telecommunication flow information of reparation travel speed mate average velocity.
7. urban highway traffic Situation Assessment system according to claim 6, is characterized in that, the weights W of m section of described road
mpreparation method be:
wherein,
for hessian matrix, g
nfor coefficient.
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Cited By (13)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104200654A (en) * | 2014-09-16 | 2014-12-10 | 安徽达尔智能控制系统有限公司 | Carrier-radar section traffic flow monitoring and controlling system |
| CN104200664A (en) * | 2014-09-16 | 2014-12-10 | 安徽达尔智能控制系统有限公司 | Intelligent traffic system based taxi traffic information publishing and guiding system |
| CN105118289A (en) * | 2015-06-17 | 2015-12-02 | 河南理工大学 | Traffic situation assessment method |
| EP3073459A1 (en) * | 2015-03-26 | 2016-09-28 | Siemens Aktiengesellschaft | Traffic management in a traffic network |
| CN106023592A (en) * | 2016-07-11 | 2016-10-12 | 南京邮电大学 | Traffic jam detection method based on GPS data |
| CN106781490A (en) * | 2016-12-29 | 2017-05-31 | 广州交通信息化建设投资营运有限公司 | Urban highway traffic analysis ＆ appraisement on operation system |
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| CN111489546A (en) * | 2019-01-29 | 2020-08-04 | 阿里巴巴集团控股有限公司 | Traffic information issuing method, device, equipment and storage medium |
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2006022910A1 (en) * | 2004-08-16 | 2006-03-02 | Siemens Corporate Research, Inc. | Method for traffic sign detection |
| CN101567126A (en) * | 2009-05-31 | 2009-10-28 | 上海宝康电子控制工程有限公司 | Urban road traffic information detecting and issuing system |
| CN101571997A (en) * | 2009-05-31 | 2009-11-04 | 上海宝康电子控制工程有限公司 | Method and device for fusion processing of multi-source traffic information |
| CN101719315A (en) * | 2009-12-23 | 2010-06-02 | 山东大学 | Method for acquiring dynamic traffic information based on middleware |
| US20100273491A1 (en) * | 2007-12-20 | 2010-10-28 | Telecom Italia S.P.A. | Method and System for Estimating Road Traffic |
-
2012
- 2012-12-18 CN CN201210553037.8A patent/CN103593973B/en not_active Expired - Fee Related
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2006022910A1 (en) * | 2004-08-16 | 2006-03-02 | Siemens Corporate Research, Inc. | Method for traffic sign detection |
| US20100273491A1 (en) * | 2007-12-20 | 2010-10-28 | Telecom Italia S.P.A. | Method and System for Estimating Road Traffic |
| CN101567126A (en) * | 2009-05-31 | 2009-10-28 | 上海宝康电子控制工程有限公司 | Urban road traffic information detecting and issuing system |
| CN101571997A (en) * | 2009-05-31 | 2009-11-04 | 上海宝康电子控制工程有限公司 | Method and device for fusion processing of multi-source traffic information |
| CN101719315A (en) * | 2009-12-23 | 2010-06-02 | 山东大学 | Method for acquiring dynamic traffic information based on middleware |
Cited By (17)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104200664A (en) * | 2014-09-16 | 2014-12-10 | 安徽达尔智能控制系统有限公司 | Intelligent traffic system based taxi traffic information publishing and guiding system |
| CN104200654A (en) * | 2014-09-16 | 2014-12-10 | 安徽达尔智能控制系统有限公司 | Carrier-radar section traffic flow monitoring and controlling system |
| EP3073459A1 (en) * | 2015-03-26 | 2016-09-28 | Siemens Aktiengesellschaft | Traffic management in a traffic network |
| WO2016151072A1 (en) * | 2015-03-26 | 2016-09-29 | Siemens Aktiengesellschaft | Traffic management in a traffic network |
| CN105118289A (en) * | 2015-06-17 | 2015-12-02 | 河南理工大学 | Traffic situation assessment method |
| CN106846826A (en) * | 2015-12-07 | 2017-06-13 | 东华软件股份公司 | Road conditions monitoring method and device |
| CN106023592A (en) * | 2016-07-11 | 2016-10-12 | 南京邮电大学 | Traffic jam detection method based on GPS data |
| CN106781490A (en) * | 2016-12-29 | 2017-05-31 | 广州交通信息化建设投资营运有限公司 | Urban highway traffic analysis ＆ appraisement on operation system |
| CN108877207A (en) * | 2017-05-09 | 2018-11-23 | 保定维特瑞光电能源科技有限公司 | A kind of road traffic situation Online Video judgement system |
| CN107909822A (en) * | 2017-11-29 | 2018-04-13 | 银江股份有限公司 | A kind of SCATS coil checker automatic diagnosis methods based on flow and saturation analysis |
| CN107909822B (en) * | 2017-11-29 | 2019-11-22 | 银江股份有限公司 | SCATS coil checker automatic diagnosis method based on flow and saturation analysis |
| CN109035777A (en) * | 2018-08-23 | 2018-12-18 | 河南中裕广恒科技股份有限公司 | Traffic circulation Situation analysis method and system |
| CN109035777B (en) * | 2018-08-23 | 2021-03-26 | 河南中裕广恒科技股份有限公司 | Traffic operation situation analysis method and system |
| CN109754604A (en) * | 2018-12-03 | 2019-05-14 | 江苏智运科技发展有限公司 | A kind of congestion regions recognition methods based on the control of traffic coil detection data quality |
| CN109754604B (en) * | 2018-12-03 | 2021-01-26 | 江苏智运科技发展有限公司 | Congestion area identification method based on traffic coil detection data quality control |
| CN111489546A (en) * | 2019-01-29 | 2020-08-04 | 阿里巴巴集团控股有限公司 | Traffic information issuing method, device, equipment and storage medium |
| CN113487867A (en) * | 2021-07-07 | 2021-10-08 | 安徽富煌科技股份有限公司 | Regional traffic state early warning system based on real-value rough set model |
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