CN106157628A - A kind of method and system of distributed acquisition real-time road condition information - Google Patents
A kind of method and system of distributed acquisition real-time road condition information Download PDFInfo
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Abstract
The invention provides the method and system of a kind of distributed acquisition real-time road condition information, owing to ensureing that same car plate is crossed car data and stored same from node, each is crossed i.e. asynchronous computing after car record from node in real time and generates bicycle sample obtaining, all bicycle samples constitute the sample set of this node, therefore, only need that when the road conditions cycle reaches fusion is carried out to each node sample set and can generate traffic information, avoid and prior art needs when the road conditions cycle reaches take considerable time the process crossing car data generation sample according to history, thus improve traffic information treatment effeciency and real-time.
Description
Technical field
The present invention relates to intelligent transportation field, particularly relate to a kind of method of distributed acquisition real-time road condition information and be
System.
Background technology
Owing to car plate is unique sign of vehicle, prior art can be alert by card that is initial in section and that terminate bayonet socket of deploying to ensure effective monitoring and control of illegal activities
Equipment, obtains the license plate of the complete vehicle by section.By this vehicle through two continuous crossing detectors
Time, time difference, combining road length can be obtained, then can be calculated the bicycle by target road section for this vehicle
Overall speed.The all bicycle overall speeds merging target road section can obtain the interval average speed of target road section.Utilize
The average speed obtaining, can reflect real-time condition of road surface, and thus principle derives the various reality based on Car license recognition
Shi Lukuang acquisition methods.
Real-time road condition acquisition method flow process known by typical board: when the road conditions cycle reaches, first pull one from database
The history in individual cycle crosses car record；The all effective links of outer loop traversal, interior loop traversal is all crosses car record,
Generate the bicycle sample of each effective links；Sample size is unsatisfactory for during condition needing one cycle of forward trace, until
Meet condition or reach backtracking number of cycles threshold value；Finally whole samples fusions are generated final traffic information.
Wherein, the road conditions cycle refers to the time interval that adjacent traffic information twice is issued, such as optional 2 minutes, 5 points
Clock, 10 minutes.Crossing car record and referring to that the alert equipment of card crosses car data, it comprises the number-plate number, crosses car time, vehicle speed
The information such as degree, crossing serial number, lane number, track direction, transport condition, type of vehicle.The backtracking cycle refers to
When, under the situations such as section is long or section road conditions are blocked up, within a road conditions cycle, section cannot be obtained and be handed over by start and end
The same car plate data of prong, so needing forward trace in time, in units of road conditions period distances, at car plate
Carry out the lookup of same car plate data in the backtracking cycle.Backtracking number of cycles threshold value is the number in default backtracking cycle,
Such as 5 cycles of most backtracking.The backtracking threshold period time refers to the product recalled number of cycles threshold value with recall the cycle.
Bicycle sample refers to that same car plate is passed through target road section by the automobile carrying this car plate that start and end crossing detector captures
Bicycle overall speed.Traffic information refers to the interval average speed in section.
Existing method has a disadvantage in that
First, real-time is low: existing method just pulls the process record in the cycle when the road conditions cycle reaches from database
Completing whole method flow, time delay is bigger, and having served as algorithm when car records more especially time-consumingly will be more long by more multiple-time delay,
Real-time is also lower.
Secondly, single node serial process efficiency is low: existing method flow is not by can with the data set of distributed treatment (i.e.
The car data excessively of different car plates can do parallel processing) parallel processing, also will there is data dependency simultaneously and there is no data
Dependent method step mixes, and so single node can only perform whole method flow, and efficiency is very low.
Furthermore, sampling period scope is not fixed, method step is complicated: system generates sample at current period and is unsatisfactory for bar
One cycle of forward trace is needed, until meeting condition or reaching backtracking number of cycles threshold value during part；So each road conditions
The time range of periodic samples may be different, and the accuracy difference of so final output result will be very big；So simultaneously
The flow process of one backtracking also makes method flow become complicated.
Content of the invention
The invention provides the method and system of a kind of distributed acquisition real-time road condition information, to improve at traffic information
Reason efficiency and real-time.
The technological means that the present invention uses is as follows: a kind of method of distributed acquisition real-time road condition information, comprising:
The car record of crossing of same car plate is stored same distributed from node；
When having served as the storage of car record, generate originally from the bicycle sample in the section of node from node according to crossing car record, and root
Generate the sample set in section according to the bicycle sample in the road conditions cycle；
Master server collects the sample set in each all sections from node when a road conditions cycle reaches, and generates road
Condition information.
Present invention also offers the system of a kind of distributed acquisition real-time road condition information, comprising:
It is arranged at the alert equipment of card of road network, be used for obtaining car record；
Distributed from node, from node for obtaining and storing the car record excessively of its corresponding car plate described in each,
When having served as the storage of car record, according to the bicycle sample crossing each section since node of car record generation, and according to road conditions week
Bicycle sample in phase generates the sample set in section；
Master server, is used for when a road conditions cycle reaches collecting the sample set in each all sections from node, and
Generate traffic information.
Use the distributed method and system obtaining real-time road condition information that the present invention provides, owing to ensureing same car plate
Crossing car data and storing same from node, each is crossed i.e. asynchronous computing after car record from node in real time and generates section obtaining
Sample set, therefore, only need when the road conditions cycle reaches the sample set to each section to carry out fusion and can generate road conditions
Information, it is to avoid need in prior art to take considerable time that crossing car data according to history generates when the road conditions cycle reaches
The process of sample, thus improve traffic information treatment effeciency and real-time.
Brief description
Fig. 1 is the schematic flow sheet of the method for the present invention distributed acquisition real-time road condition information；
Fig. 2 is, in the present invention, the car record of crossing of same car plate is stored the same distributed flow process signal from node
Figure；
Fig. 3 is to generate this flow process signal from the bicycle sample set of node from node according to crossing car record in the present invention
Figure；
Fig. 4 is the system architecture schematic diagram of the present invention distributed acquisition real-time road condition information.
Detailed description of the invention
For making the purpose of the present invention, technical scheme and advantage clearer, develop simultaneously enforcement referring to the drawings
Example, the present invention is described in more detail.
The present invention realizes based on following inventive concept:
In prior art, real-time and inefficient reason are, all of calculating all occurs after the road conditions cycle reaches,
And owing to single node performs the data process of serial, it is impossible to the ability that the step not having data dependency is individually processed.
Pin is in this regard, the starting point of technical scheme that the present invention proposes will occur in prior art in the calculating of road conditions week after date
Part be arranged on the road conditions cycle when reaching before, it is achieved asynchronous computing, save and calculate time-consuming, and data will not had to depend on
The step relying property and the step having data dependency split, and improve efficiency.
Based on above-mentioned design, the invention provides a kind of method of distributed acquisition real-time road condition information, such as Fig. 1 institute
Show, comprising:
The car record of crossing of same car plate is stored same distributed from node；
When having served as the storage of car record, generate originally from the bicycle sample in the section of node from node according to crossing car record, and root
Generate the sample set in section according to the bicycle sample in the road conditions cycle；
Master server collects the sample set in each all sections from node when a road conditions cycle reaches, and generates road
Condition information.
The method providing based on the application, owing to ensureing that same car plate is crossed car data and stored same from node, each from
Node i.e. asynchronous computing after obtaining real-time car record excessively generates bicycle sample set, therefore, when the road conditions cycle reaches only
Fusion need to be carried out to each bicycle sample set and can generate traffic information, it is to avoid prior art reached in the road conditions cycle
When need to take considerable time and cross, according to history, the process that car data generates sample, thus improve traffic information treatment effeciency
And real-time.
HBase (Hadoop Database) be a high reliability commonly used in the prior art, high-performance, towards row,
Telescopic distributed memory system, is illustrated to the application below in conjunction with HBase system:
In order to store the car record of crossing of same car plate same distributed from node, as in figure 2 it is shown, include following step
Rapid:
Preset row key range for each from node；
To car plate, corresponding character string carries out the cryptographic Hash that Hash operation obtains car plate, and utilizes preset value to described car plate
Cryptographic Hash delivery after obtain row key value；
Select the default row key range institute comprising this row key value right according to the corresponding described row key value of car plate
Answer from node, the car record of crossing of this car plate is stored in this from node.
For example, random number range for [000,1000), having two row key ranges comprising from node is rs1 respectively:
[0,500), rs2:[500,100)；The hash value of car plate " Shanghai B54321 " is 325 to the value after 1000 deliverys,
Cross car record RowKey (line unit value) and may be defined as " 325-Shanghai B54321-[uid1] " and " 325-for its corresponding two
Shanghai B54321-[uid2] ", then the two is crossed car record and all will be stored in rs1；The hash of car plate " Zhejiang A12345 "
Value is 557 to the value after 1000 deliverys, crosses car record RowKey and may be defined as " 557-Zhejiang for its corresponding two
A12345-[uid1] " and " 557-Zhejiang A12345-[uid2] ", then the two is crossed car record and all will be stored in rs2, by
This, can realize that each only stores the car record excessively of its each self-corresponding car plate from node, and the car record excessively of an automobile is also
It is only stored in one from node.
When having served as the storage of car record, from node, according to crossing the generation of car record, this includes walking as follows from the bicycle sample set of node
Suddenly, as shown in Figure 3:
Each section from node traverses road network, the section that generation start node and terminal node are laid with the alert equipment of card has
Effect link set；In the present embodiment, section active link set comprises initial card slogan, terminates card slogan and knot
Bundle bayonet socket enters the information in road junction direction, in HBase storage system, utilizes KeyValue data structure, generation
Section active link structure is < " initial bayonet socket-termination bayonet socket-end bayonet socket access mouth direction ", active link sample set
Close, wherein, Key is the character string being made up of initial card slogan, termination card slogan and end bayonet socket access mouth direction,
This Key just can describe the active link in a section；
Generate section link from node according to described car record of crossing, and judge whether described section link belongs to described section
Active link set；Due to cross in car record comprise the number-plate number, cross the car time, car speed, crossing serial number,
The information such as lane number, track direction, transport condition, type of vehicle, therefore, cross the previous of car record when obtaining this
During individual record, initial card slogan can be comprised according to the car time generation of mistake, terminate card slogan and terminate bayonet socket access mouth
The section link in direction；According to the initial card slogan in the link of section, terminate card slogan and terminate bayonet socket access mouth side
To, can generate section active link set search whether belong to section active link, if being not belonging to, this is described
New car record of crossing in the scope of statistics of traffic information, is not then timed caching from node by section link, in case and
Follow-up car record of crossing combines the new section link of generation；
If described section link is section active link, then according to described cross car record calculate generate to should section effective
The bicycle sample in the section of link, and the sample set in section is generated according to the bicycle sample in the road conditions cycle；Concrete,
In the present embodiment, first average speed is calculated according to described new car record excessively and corresponding previous car record of crossing thereof,
Generate the bicycle sample in section；Then judge that whether described bicycle sample is credible；Finally, collect in the road conditions cycle can
The bicycle sample of letter generates the sample set in section.When generating the sample set in section, available HBase generates bicycle sample
This collection object, each believable bicycle sample is introduced directly into this bicycle sample set object and completes to collect work.Further,
The Credibility judgement of bicycle sample, can be according in the following manner:
Preset believability threshold according to type of vehicle and vehicle running characteristics；Wherein, type of vehicle includes that license plate area belongs to
Property and vehicle attribute；Described license plate area attribute includes local licence plate or other places licence plate；Vehicle attribute includes profile
With vehicle character；Described profile includes large car, in-between car or compact car；Described vehicle character includes common in-vehicle
Or special car；
According to described new car record excessively and the previous confidence level crossing the corresponding bicycle sample of car record calculating thereof；
The relatively confidence level of described default believability threshold and described bicycle sample, when the confidence level of described bicycle sample is big
When equal to described default believability threshold, then described bicycle sample is credible；When the confidence level of described bicycle sample is less than
During described default believability threshold, then reject described bicycle sample.
It should be noted that the factor that the factor relating in confidence level can be concerned about according to traffic information is configured, for
Confidence level calculates used algorithm, and those skilled in the art can select in the range of prior art according to actual conditions
Select, do not repeat them here.
Further, in the present embodiment, all for backtracking threshold value for the preferred cache-time of timing caching crossing car record
It time phase, is arranged such and the car record of crossing exceeding this backtracking threshold period time can be removed automatically, big to prevent
Measure out-of-date sample so that the road conditions cycle being formed every time all uses the sample set of maximum time scope in threshold period, its
Result is more accurate, turn avoid the backtracking flow process using in prior art and makes method step more succinct.
When a road conditions cycle reaches, each bicycle sample set from node is collected for master server, and generates road conditions
Information, the present embodiment comprises the steps:
Master server obtains the sample set in all described sections every a road conditions cycle from each from node；
Each bicycle samples fusion in the sample set in each section is generated traffic information.
The method of corresponding above-mentioned distributed acquisition real-time road condition information, present invention also provides a kind of distributed obtain
Take the system of real-time road condition information, as shown in Figure 4, comprising:
It is arranged at the alert equipment of card of road network, be used for obtaining car record；
Distributed from node, from node for obtaining and storing the car record excessively of its corresponding car plate described in each,
When having served as the storage of car record, according to the bicycle sample crossing each section since node of car record generation, and according to road conditions week
Bicycle sample in phase generates the sample set in section；
Master server, is used for when a road conditions cycle reaches collecting the sample set in each all sections from node, and
Generate traffic information.
Further, also including car record distribution module, described car record distribution module of crossing is used for pre-from node for each
If row key range, to car plate, corresponding character string carries out the cryptographic Hash that Hash operation obtains car plate, and utilizes default
Value obtains row key value after the cryptographic Hash delivery of described car plate, selects according to the corresponding described row key value of car plate
Comprise corresponding to the default row key range of this row key value from node, and the car record of crossing of this car plate is sent
Extremely should be from node.
Further, described include from node:
Section active link set generation module, is used for traveling through each section in road network, generates start node and terminal node
It is laid with the section active link set of the alert equipment of card；
Active link judge module, is used for generating section link according to described car record of crossing, and judges described section link
Whether belong to the active link set of described section；
Bicycle sample set generation module, for when described section link is section active link, crosses car note according to described
Record calculate generate to should the bicycle sample in section of section active link, and raw according to the bicycle sample in the road conditions cycle
Become the sample set in section.
Further, described active link judge module is used for traveling through each section in road network, generate comprise initial card slogan,
Terminate card slogan and terminate the section active link set in bayonet socket access mouth direction, and cache described section active link
Set.
Further, described active link judge module includes:
Cross car record queries unit, for often obtain one new cross car record after, searching this, new to cross car record corresponding
Previous cross car record；
Section link signal generating unit, for new the crossing in car record and corresponding previous car record excessively thereof by comparison
Spend the car time, generate and comprise initial card slogan, termination card slogan and the section link terminating bayonet socket access mouth direction；
Cross car record buffer memory unit, for regularly caching described new car record excessively, it is preferred that for car record excessively
It is the backtracking threshold period time that timing caches preferred cache-time, is arranged such and can will exceed this backtracking threshold period time
Car record of crossing automatically remove, to prevent a large amount of out-of-date sample so that the road conditions cycle being formed every time all uses threshold
The sample set of maximum time scope in phase on weekly duty.
Further, described bicycle sample set generation module includes:
Bicycle sample generation unit, for new crossing car record and corresponding previous car record of crossing calculates according to described
Average speed, generates bicycle sample；
Bicycle sample is credible judging unit, is used for judging that whether described bicycle sample is credible；
Bicycle sample set signal generating unit, in being used for collecting the road conditions cycle, all believable bicycle samples generate the bicycle in section
Sample set.
Further, the credible judging unit of bicycle sample is for presetting confidence level threshold according to type of vehicle and vehicle running characteristics
Value, and new cross car record according to described and previous cross the confidence level that car record calculates corresponding bicycle sample；Ratio
More described default believability threshold and the confidence level of described bicycle sample, when the confidence level of described bicycle sample is more than or equal to
During described default believability threshold, then described bicycle sample is credible；When the confidence level of described bicycle sample is less than described pre-
If during believability threshold, then reject described bicycle sample.
In the present invention, type of vehicle includes license plate area attribute and vehicle attribute；Described license plate area attribute includes this
Ground licence plate or other places licence plate；Vehicle attribute includes profile and vehicle character；Described profile include large car,
In-between car or compact car；Described vehicle character includes common vehicle or special car.
Further, described master server includes:
Bicycle sample set acquisition module, for obtaining all described road from described in each from node every a road conditions cycle
The sample set of section；
Traffic information generation module, for generating road conditions by each bicycle samples fusion in the sample set in each described section
Information.
In sum, the distributed method and system obtaining real-time road condition information that the present invention provides are used, owing to protecting
Demonstrate,prove same car plate to cross car data and store same from node, each from node obtain cross car record in real time after i.e. asynchronous meter
Calculating and generating bicycle sample set, therefore, only needing to carry out fusion to each bicycle sample set can give birth to when the road conditions cycle reaches
Become traffic information, it is to avoid prior art needs when the road conditions cycle reaches take considerable time and cross car number according to history
According to the process generating sample, thus improve traffic information treatment effeciency and real-time.
The foregoing is only presently preferred embodiments of the present invention, not in order to limit the present invention, all essences in the present invention
Within god and principle, any modification, equivalent substitution and improvement etc. done, should be included in the scope of protection of the invention
Within.
Claims (14)
1. the method for a distributed acquisition real-time road condition information, it is characterised in that include:
The car record of crossing of same car plate is stored same distributed from node；
When having served as the storage of car record, generate originally from the bicycle sample in the section of node from node according to crossing car record, and root
Generate the sample set in section according to the bicycle sample in the road conditions cycle；
Master server collects the sample set in each all sections from node when a road conditions cycle reaches, and generates road
Condition information.
2. method according to claim 1, it is characterised in that described by same car plate cross car record store
Same distributed include from node:
Preset row key range for each from node；
To car plate, corresponding character string carries out the cryptographic Hash that Hash operation obtains car plate, and utilizes preset value to described car plate
Cryptographic Hash delivery after obtain row key value；
Select the default row key range institute comprising this row key value right according to the corresponding described row key value of car plate
Answer from node, the car record of crossing of this car plate is stored in this from node.
3. method according to claim 1, it is characterised in that described from node according to cross car record generate this from
The bicycle sample in the section of node, and include according to the sample set in the bicycle sample composition section in the road conditions cycle:
Described each section from node traverses road network, generates start node and terminal node is laid with the road of the alert equipment of card
Section active link set；
Described generate section link from node according to described car record of crossing, and judge whether described section link belongs to described
Section active link set；
If described section link is section active link, then according to described cross car record calculate generate to should section effective
The bicycle sample in the section of link, and the sample set in section is generated according to the bicycle sample in the road conditions cycle.
4. method according to claim 3, it is characterised in that each section from node traverses road network, generates
The active link that beginning node and terminal node are laid with the alert equipment of card includes:
Each section from node traverses road network, generates and comprises initial card slogan, termination card slogan and terminate bayonet socket access
The section active link set in mouth direction, and cache the active link set of described section.
5. method according to claim 4, it is characterised in that described from node according to described cross car record generate
Section link includes:
Described after node often obtains a new car record excessively, search this new car of crossing and record corresponding previous car excessively
Record；
By relatively newer cross car record and corresponding previous cross in car record spend the car time, generate and comprise to initiate
Card slogan, termination card slogan and the section link terminating bayonet socket access mouth direction；
Described caching from node timing described new crosses car record, and cache-time is the backtracking threshold period time.
6. method according to claim 1, it is characterised in that calculate generate to should according to described car record of crossing
The bicycle sample of section active link, and include according to the sample set in the bicycle sample generation section in the road conditions cycle:
New cross car record and corresponding previous car record of crossing calculates average speed according to described, generate bicycle sample；
Judge that whether described bicycle sample is credible；
In collecting the road conditions cycle, all believable bicycle samples generate the sample set in section.
7. method according to claim 6, it is characterised in that judge that whether described bicycle sample is credible and include:
Preset believability threshold according to type of vehicle and vehicle running characteristics；
According to described new car record excessively and the previous confidence level crossing the corresponding bicycle sample of car record calculating thereof；
The relatively confidence level of described default believability threshold and described bicycle sample, when the confidence level of described bicycle sample is big
When equal to described default believability threshold, then described bicycle sample is credible；When the confidence level of described bicycle sample is less than
During described default believability threshold, then reject described bicycle sample.
8. the system of a distributed acquisition real-time road condition information, it is characterised in that include:
It is arranged at the alert equipment of card of road network, be used for obtaining car record；
Distributed from node, from node for obtaining and storing the car record excessively of its corresponding car plate described in each,
When having served as the storage of car record, according to the bicycle sample crossing each section since node of car record generation, and according to road conditions week
Bicycle sample in phase generates the sample set in section；
Master server, is used for when a road conditions cycle reaches collecting the sample set in each all sections from node, and
Generate traffic information.
9. system according to claim 8, it is characterised in that also included car record distribution module, described mistake
Car record distribution module is for presetting row key range for each from node, and to car plate, corresponding character string carries out Hash
Computing obtains the cryptographic Hash of car plate, and utilizes preset value to obtain row key value after the cryptographic Hash delivery of described car plate,
According to corresponding to the default row key range that the selection of car plate corresponding described row key value comprises this row key value
From node, and extremely should be from node by the car record transmission of crossing of this car plate.
10. system according to claim 8, it is characterised in that described include from node:
Section active link set generation module, is used for traveling through each section in road network, generates start node and terminal node
It is laid with the section active link set of the alert equipment of card；
Active link judge module, is used for generating section link according to described car record of crossing, and judges described section link
Whether belong to the active link set of described section；
Bicycle sample set generation module, for when described section link is section active link, crosses car note according to described
Record calculate generate to should the bicycle sample in section of section active link, and raw according to the bicycle sample in the road conditions cycle
Become the sample set in section.
11. systems according to claim 10, it is characterised in that described active link judge module is used for traveling through
Each section in road network, generating the section comprising initial card slogan, termination card slogan and end bayonet socket access mouth direction has
Effect link set, and cache the active link set of described section.
12. systems according to claim 11, it is characterised in that described active link judge module includes:
Cross car record queries unit, for often obtain one new cross car record after, searching this, new to cross car record corresponding
Previous cross car record；
Section link signal generating unit, for new the crossing in car record and corresponding previous car record excessively thereof by comparison
Spend the car time, generate and comprise initial card slogan, termination card slogan and the section link terminating bayonet socket access mouth direction；
Crossing car record buffer memory unit, described new crossing car record for regularly caching, cache-time is backtracking threshold period
Time.
13. systems according to claim 8, it is characterised in that described bicycle sample set generation module includes:
Bicycle sample generation unit, for new crossing car record and corresponding previous car record of crossing calculates according to described
Average speed, generates bicycle sample；
Bicycle sample is credible judging unit, is used for judging that whether described bicycle sample is credible；
Bicycle sample set signal generating unit, in being used for collecting the road conditions cycle, all believable bicycle samples generate the bicycle in section
Sample set.
14. systems according to claim 13, it is characterised in that bicycle sample is credible, and judging unit is used for basis
Type of vehicle and vehicle running characteristics preset believability threshold, and according to described new car record excessively and previous car excessively thereof
Record calculates the confidence level of corresponding bicycle sample；Relatively described default believability threshold and described bicycle sample is credible
Degree, when the confidence level of described bicycle sample is more than or equal to described default believability threshold, then described bicycle sample is credible；
When the confidence level of described bicycle sample is less than described default believability threshold, then reject described bicycle sample.
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Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106558221A (en) * | 2016-11-29 | 2017-04-05 | 北京掌行通信息技术有限公司 | Real-time distributed traffic information processing system |
| CN107622656A (en) * | 2017-09-14 | 2018-01-23 | 王淑芳 | A kind of trans-regional data processing method of emphasis commerial vehicle and system |
| CN108847042A (en) * | 2018-08-24 | 2018-11-20 | 讯飞智元信息科技有限公司 | A kind of traffic information dissemination method and device |
| CN113643541A (en) * | 2021-09-10 | 2021-11-12 | 杭州海康威视数字技术股份有限公司 | Method, device and equipment for determining real-time road condition and storage medium |
| CN115440037A (en) * | 2022-08-30 | 2022-12-06 | 阿波罗智联(北京)科技有限公司 | Traffic flow data acquisition method and device, electronic equipment and storage medium |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2005060443A (en) * | 2003-08-18 | 2005-03-10 | Toray Ind Inc | Resin composition for lamp unit member, lamp unit member obtained from the same |
| CN101635093A (en) * | 2009-05-22 | 2010-01-27 | 上海宝康电子控制工程有限公司 | Identification system and method of unlicensed motor vehicles |
| CN202339636U (en) * | 2011-11-01 | 2012-07-18 | 杭州海康威视***技术有限公司 | Image acquiring device |
| CN103377556A (en) * | 2012-04-26 | 2013-10-30 | 上海竞天科技股份有限公司 | Device, system and method for detecting fake-licensed vehicle |
| CN105046959A (en) * | 2015-06-30 | 2015-11-11 | 东南大学 | Method for extracting urban road travelling time based on bi-window sliding matching mechanism |
-
2015
- 2015-04-21 CN CN201510188328.5A patent/CN106157628B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
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