CN106157628B - A kind of distributed method and system for obtaining real-time road condition information - Google Patents
A kind of distributed method and system for obtaining real-time road condition information Download PDFInfo
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Abstract
The present invention provides a kind of distributed method and system for obtaining real-time road condition information, due to guaranteeing that same license plate crosses car data storage to same from node, it is each that from node, i.e. asynchronous computing generates bicycle sample after obtaining in real time vehicle record excessively, all bicycle samples constitute the sample set of this node, therefore, it only needs to merge each node sample set when reaching in the road conditions period and produces traffic information, avoid the process for needing to take considerable time in the prior art when reaching in the road conditions period and crossing car data generation sample according to history, to improve traffic information treatment effeciency and real-time.
Description
Technical field
The present invention relates to intelligent transportation field, more particularly to a kind of distributed method for obtaining real-time road condition information and it is
System.
Background technique
Since license plate is unique mark of vehicle, the prior art can originate and terminate the card police of bayonet in section by deploying to ensure effective monitoring and control of illegal activities
Equipment obtains the license plate of the completely vehicle by section.Pass through the time of two continuous intersection detectors by the vehicle,
The bicycle overall speed that the vehicle passes through target road section can be then calculated in available time difference, combining road length.Melt
Close the available target road section section average speed of all bicycle overall speeds of target road section.Using the average speed of acquisition,
It can reflect real-time condition of road surface, thus principle derives the various real-time road condition acquisition methods based on Car license recognition.
Typical board knows real-time road condition acquisition method process are as follows: when reaching in the road conditions period, pulls one from database first
The history in a period crosses vehicle record;Outer loop traverses all effective links, and interior loop traversal is all to cross vehicle record, to generate
The bicycle sample of each effective links;Sample size is unsatisfactory for needing forward trace a cycle when condition, until meet condition or
Reach backtracking number of cycles threshold value;Whole samples fusions are finally generated into final traffic information.
Wherein, the road conditions period refers to the time interval of adjacent traffic information twice publication, such as optional 2 minutes, 5 minutes,
10 minutes.It crosses vehicle record and refers to that the alert equipment of card crosses car data, it includes license plate number, spend vehicle time, car speed, crossing flowing water
Number, the information such as lane number, track direction, driving status, type of vehicle.The backtracking period refers to when section is too long or section road conditions
Under the situations such as congestion, within a road conditions period, section can not obtain the same license plate data by start and end intersection, so needing
Looking into for same license plate data is carried out within the license plate backtracking period as unit of road conditions period distances by forward trace in time
It looks for.Backtracking number of cycles threshold value is the number in preset backtracking period, such as at most recalls 5 periods.Recall the threshold period time
Refer to backtracking number of cycles threshold value and recalls the product in period.Bicycle sample refers to that same license plate is caught by start and end intersection detector
The automobile for carrying the license plate received passes through the bicycle overall speed of target road section.Traffic information refers to that section section is averaged vehicle
Speed.
Existing method has the following disadvantages:
Firstly, real-time is low: existing method just pulls the process record in the period when reaching in the road conditions period from database
Complete entire method flow, be delayed bigger, especially served as when vehicle records more algorithm time-consuming will more multiple-time delay will more long, in real time
Property is also lower.
Secondly, single node serial process low efficiency: existing method process is not by can be with the data set of distributed treatment (i.e.
The car data excessively of different license plates can do parallel processing) parallel processing, while will also have data dependency and there is no data dependence
Property method and step mix, so can only single node execute entire method flow, efficiency is very low.
Furthermore sampling period range is not fixed, method and step is complicated: system generates sample in current period and is unsatisfactory for condition
When need forward trace a cycle, until meet condition or reach backtracking number of cycles threshold value;Road conditions period sample each in this way
This time range may be different, and the accuracy difference of such final output will be very big;Such a backtracking simultaneously
Process is but also method flow becomes complicated.
Summary of the invention
The present invention provides a kind of distributed method and system for obtaining real-time road condition information, to improve at traffic information
Manage efficiency and real-time.
The technological means that the present invention uses is as follows: a kind of distributed method for obtaining real-time road condition information, comprising:
Same license plate is crossed into vehicle record storage to same distribution from node;
When having served as vehicle record storage, this bicycle sample from the section of node, and root are generated from node according to vehicle record is crossed
The sample set in section is generated according to the bicycle sample in the road conditions period;
Primary server collects the sample set in each all sections from node when reaching in a road conditions period, and generates road
Condition information.
The present invention also provides a kind of distributed systems for obtaining real-time road condition information, comprising:
It is set to the alert equipment of card of road network, for obtaining vehicle record;
It is distributed that from node, each described vehicle of crossing for being used to obtain and store its one license plate of correspondence from node is recorded,
When having served as vehicle record storage, generate according to vehicle record is crossed respectively since the bicycle sample in the section of node, and according in the road conditions period
Bicycle sample generate section sample set;
Primary server, for collecting the sample set in each all sections from node when reaching in a road conditions period, and
Generate traffic information.
Using the distributed method and system for obtaining real-time road condition information provided by the invention, due to guaranteeing same license plate
Car data storage is crossed to same from node, it is each from node obtain cross vehicle record in real time after i.e. asynchronous computing generation section sample
Therefore this collection only needs the sample set to each section to be merged when reaching in the road conditions period and produces traffic information, avoid
It needs when reaching in the road conditions period to take considerable time in the prior art and the process that car data generates sample is crossed according to history, from
And improve traffic information treatment effeciency and real-time.
Detailed description of the invention
Fig. 1 is the flow diagram of the distributed method for obtaining real-time road condition information of the present invention;
Fig. 2 is that same license plate is crossed vehicle record storage to the same distributed flow diagram from node in the present invention;
Fig. 3 is to generate this flow diagram from the bicycle sample set of node from node according to vehicle record is crossed in the present invention;
Fig. 4 is the distributed system structure diagram for obtaining real-time road condition information of the present invention.
Specific embodiment
To make the objectives, technical solutions, and advantages of the present invention more comprehensible, right hereinafter, referring to the drawings and the embodiments,
The present invention is further described.
The present invention is realized based on following inventive concept:
Real-time and the reason of low efficiency, are in the prior art, and all calculating occurs after the road conditions period reaches,
And since single node executes serial data processing, the ability that the step of no data dependency cannot individually be handled.Needle
In this regard, the part in the calculating after the road conditions period will occur in the prior art for the starting point of technical solution proposed by the present invention
Setting realizes asynchronous computing before when reaching in the road conditions period, save calculate it is time-consuming, and will not have the step of data dependency and
There is the step of data dependency to be split, improves efficiency.
Based on above-mentioned design, the present invention provides a kind of distributed methods for obtaining real-time road condition information, such as Fig. 1 institute
Show, comprising:
Same license plate is crossed into vehicle record storage to same distribution from node;
When having served as vehicle record storage, this bicycle sample from the section of node, and root are generated from node according to vehicle record is crossed
The sample set in section is generated according to the bicycle sample in the road conditions period;
Primary server collects the sample set in each all sections from node when reaching in a road conditions period, and generates road
Condition information.
Based on method provided by the present application, due to guaranteeing that same license plate crosses car data storage to same from node, Ge Gecong
Node obtain it is real-time cross vehicle record after i.e. asynchronous computing generate bicycle sample set, therefore, only needed pair when reaching in the road conditions period
Each bicycle sample set, which is merged, produces traffic information, avoids and needs to consume when reaching in the road conditions period in the prior art
The expense plenty of time crosses the process that car data generates sample according to history, to improve traffic information treatment effeciency and real-time.
HBase (Hadoop Database) be a high reliability commonly used in the prior art, high-performance, towards column, can
Flexible distributed memory system is illustrated the application below in conjunction with HBase system:
In order to which same license plate is crossed vehicle record storage to same distribution from node, as shown in Fig. 2, including following step
It is rapid:
Row key range is preset from node to be each;
Hash operation is carried out to the corresponding character string of license plate and obtains the cryptographic Hash of license plate, and using preset value to the license plate
Cryptographic Hash modulus after obtain row key value;
It include the default row key range institute of the row key value according to the corresponding row key value selection of license plate
It is corresponding from node, which is crossed into vehicle record storage in this from node.
For example, random number range be [000,1000), is respectively there are two the row key range that includes from node altogether
Rs1:[0,500), rs2:[500,100);The hash value of license plate " Shanghai B54321 " is 325 to the value after 1000 modulus, is corresponded to
Two cross vehicles record RowKey (line unit value) may be defined as " Shanghai 325- B54321- [uid1] " and " Shanghai 325- B54321-
[uid2] ", then the two, which cross vehicle record, will all be stored in rs1;After the hash value of license plate " Zhejiang A12345 " is to 1000 modulus
Value is 557, and crossing vehicle record RowKey for corresponding two may be defined as " Zhejiang 557- A12345- [uid1] " and " Zhejiang 557-
A12345- [uid2] ", then the two, which cross vehicle record, will all be stored in rs2, thus, it can be achieved that each only storing it from node
Corresponding license plate crosses vehicle record, and the vehicle record of crossing of an automobile is also only stored in one from node.
When having served as vehicle record storage, originally include following step from the bicycle sample set of node from node according to the generation of vehicle record is crossed
Suddenly, as shown in Figure 3:
Each section from node traverses road network, generating the section that start node and terminal node are laid with the alert equipment of card has
Imitate link set;In the present embodiment, active link set in section includes starting bayonet number, terminates bayonet number and terminate bayonet
The information in access mouth direction utilizes KeyValue data structure, the section active link knot of generation in HBase storage system
Structure is<" starting bayonet-termination bayonet-end bayonet access mouth direction ", active link sample set>, wherein Key is by
Beginning bayonet number terminates bayonet number and terminates the character string of bayonet access mouth direction composition, which can just describe a road
The active link of section;
Section link is generated from node according to the vehicle record of crossing, and judges whether the section link belongs to the section
Active link set;Due to cross vehicle record in comprising license plate number, cross the vehicle time, car speed, crossing serial number, lane compile
Number, the information such as track direction, driving status, type of vehicle, therefore, when obtaining the previous record for crossing vehicle record
It generates according to the vehicle time is spent comprising starting bayonet number, termination bayonet number and the section link for terminating bayonet access mouth direction;Root
According to starting bayonet number, termination bayonet number and the end bayonet access mouth direction in the link of section, can have in the section of generation
It imitates link set to search whether to belong to section active link, illustrates the section link not in the statistics of traffic information if being not belonging to
Range is then timed caching from node by new vehicle record of crossing, in case and the subsequent section chain crossed vehicle record and combine generation new
Road;
If the section link is section active link, calculate that generate the corresponding section effective according to the vehicle record of crossing
The bicycle sample in the section of link, and according to the sample set in the bicycle sample generation section in the road conditions period;Specifically, in this reality
It applies in example, according to new the crossing, vehicle is recorded and its corresponding previous vehicle record of crossing calculates average speed first, generates section
Bicycle sample;Then judge whether the bicycle sample is credible;Finally, the believable bicycle sample collected in the road conditions period is raw
At the sample set in section.When generating the sample set in section, bicycle sample set object is generated using HBase, it is each believable
Bicycle sample is introduced directly into bicycle sample set object completion and collects work.Further, the Credibility judgement of bicycle sample, can be according to
Under type accordingly:
Believability threshold is preset according to type of vehicle and vehicle running characteristics;Wherein, type of vehicle includes license plate area category
Property and vehicle attribute;The license plate area attribute includes local licence plate or nonlocal licence plate;Vehicle attribute includes profile and vehicle
Type property;The profile includes large car, in-between car or compact car;The vehicle property includes common vehicle or special vehicle
?;
New vehicle record and its previous confidence level crossed vehicle record and calculate corresponding bicycle sample are crossed according to described;
The confidence level for comparing the default believability threshold and the bicycle sample, when the confidence level of the bicycle sample is big
When being equal to the default believability threshold, then the bicycle sample is credible;Described in being less than when the confidence level of the bicycle sample
When default believability threshold, then the bicycle sample is rejected.
It should be noted that factor involved in confidence level can be configured according to the factor that traffic information is concerned about, for
Algorithm used by confidence level calculates, those skilled in the art can select within the scope of the prior art according to the actual situation,
Details are not described herein.
It further, in the present embodiment, is backtracking threshold value week for crossing the timing of vehicle record to cache preferred cache-time
Time phase, being arranged such can remove automatically the vehicle record of crossing more than the backtracking threshold period time, to prevent largely mistake
When sample so that the road conditions period formed every time all uses the sample set of maximum time range in threshold period, result is more
Precisely, the backtracking process in turn avoiding using in the prior art makes method and step more succinct.
Each bicycle sample set from node is collected when reaching in a road conditions period for primary server, and generates road conditions
Information, the present embodiment include the following steps:
Primary server is every a road conditions period from each sample set for obtaining all sections from node;
Each bicycle samples fusion in the sample set in each section is generated into traffic information.
The method of corresponding above-mentioned distributed acquisition real-time road condition information distributed is obtained present invention also provides a kind of
The system for taking real-time road condition information, as shown in Figure 4, comprising:
It is set to the alert equipment of card of road network, for obtaining vehicle record;
It is distributed that from node, each described vehicle of crossing for being used to obtain and store its one license plate of correspondence from node is recorded,
When having served as vehicle record storage, generate according to vehicle record is crossed respectively since the bicycle sample in the section of node, and according in the road conditions period
Bicycle sample generate section sample set;
Primary server, for collecting the sample set in each all sections from node when reaching in a road conditions period, and
Generate traffic information.
It further, further included vehicle record distribution module, the vehicle record distribution module of crossing is used to be each pre- from node
If row key range, Hash operation is carried out to the corresponding character string of license plate and obtains the cryptographic Hash of license plate, and utilizes preset value pair
Row key value is obtained after the cryptographic Hash modulus of the license plate, includes the row according to the corresponding row key value selection of license plate
Slave node corresponding to the default row key range of key value, and the vehicle record of crossing of the license plate is sent to this from node.
Further, described to include: from node
Section active link set generation module generates start node and terminal node for traversing each section in road network
It is laid with the section active link set of the alert equipment of card;
Active link judgment module for generating section link according to the vehicle record of crossing, and judges the section link
Whether the section active link set is belonged to;
Bicycle sample set generation module, for crossing vehicle note according to described when the section link is section active link
Record calculates the bicycle sample for generating the section of the corresponding section active link, and generates road according to the bicycle sample in the road conditions period
The sample set of section.
Further, the active link judgment module is generated comprising starting bayonet number, eventually for traversing each section in road network
The only section active link set in bayonet number and end bayonet access mouth direction, and cache the section active link set.
Further, the active link judgment module includes:
Cross vehicle record queries unit, for it is every obtain one it is new cross vehicle record after, search new vehicle record of crossing and correspond to
It is previous cross vehicle record;
Section link generation unit, for crossing vehicle record by comparing new and its corresponding previous crossing in vehicle record
The vehicle time is spent, generated comprising starting bayonet number, terminated bayonet number and terminate the section link in bayonet access mouth direction;
Vehicle record buffer memory unit is crossed, is recorded for periodically caching the new vehicle of crossing, it is preferred that for crossing determining for vehicle record
When cache preferred cache-time for backtracking the threshold period time, be arranged such can will be more than the backtracking threshold period time cross vehicle
Record is automatic to be removed, to prevent a large amount of out-of-date samples, so that the road conditions period formed every time all uses in threshold period most
The sample set of big time range.
Further, the bicycle sample set generation module includes:
Bicycle sample generation unit, for vehicle to record and its corresponding previous vehicle record of crossing calculates according to new the crossing
Average speed generates bicycle sample;
Bicycle sample is credible judging unit, for judging whether the bicycle sample is credible;
Bicycle sample set generation unit generates the bicycle in section for collecting all believable bicycle samples in the road conditions period
Sample set.
Further, the credible judging unit of bicycle sample is used to preset confidence level threshold according to type of vehicle and vehicle running characteristics
Value, and new vehicle record and its previous confidence level crossed vehicle record and calculate corresponding bicycle sample are crossed according to described;Compare institute
The confidence level for stating default believability threshold and the bicycle sample, when the confidence level of the bicycle sample is more than or equal to described preset
When believability threshold, then the bicycle sample is credible;When the confidence level of the bicycle sample is less than the default believability threshold
When, then reject the bicycle sample.
In the present invention, type of vehicle includes license plate area attribute and vehicle attribute;The license plate area attribute includes this
Ground licence plate or nonlocal licence plate;Vehicle attribute includes profile and vehicle property;The profile includes large car, in-between car
Or compact car;The vehicle property includes common vehicle or special car.
Further, the primary server includes:
Bicycle sample set obtains module, for described obtaining all roads from node from each every a road conditions period
The sample set of section;
Traffic information generation module, for each bicycle samples fusion in the sample set in each section to be generated road conditions
Information.
In conclusion using the distributed method and system for obtaining real-time road condition information provided by the invention, due to protecting
It demonstrate,proves same license plate and crosses car data storage to same from node, each i.e. asynchronous computing is raw after obtaining in real time vehicle record excessively from node
At bicycle sample set, therefore, only need to merge each bicycle sample set i.e. producible road conditions letter when reaching in the road conditions period
Breath avoids and needs to take considerable time that crossing car data according to history generates sample when reaching in the road conditions period in the prior art
Process, to improve traffic information treatment effeciency and real-time.
The foregoing is merely illustrative of the preferred embodiments of the present invention, is not intended to limit the invention, all in essence of the invention
Within mind and principle, any modification, equivalent substitution, improvement and etc. done be should be included within the scope of the present invention.
Claims (14)
1. a kind of distributed method for obtaining real-time road condition information characterized by comprising
Same license plate is crossed into vehicle record storage to same distribution from node;
When having served as vehicle record storage, this bicycle sample from the section of node is generated from node according to vehicle record is crossed, and according to road
Bicycle sample in the condition period generates the sample set in section;
Primary server collects the sample set in each all sections from node when reaching in a road conditions period, and generates road conditions letter
Breath.
2. the method according to claim 1, wherein described cross vehicle record storage to same point for same license plate
Cloth includes: from node
Row key range is preset from node to be each;
Hash operation is carried out to the corresponding character string of license plate and obtains the cryptographic Hash of license plate, and using preset value to the Kazakhstan of the license plate
Row key value is obtained after uncommon value modulus;
According to corresponding to the corresponding default row key range of the row key value selection comprising the row key value of license plate
Slave node, which is crossed into vehicle record storage in this from node.
3. the method according to claim 1, wherein described generate this from node according to vehicle record is crossed from node
The bicycle sample in section, and include: according to the sample set that the bicycle sample in the road conditions period constitutes section
The section each from node traverses road network, generating the section that start node and terminal node are laid with the alert equipment of card has
Imitate link set;
It is described that section link is generated according to the vehicle record of crossing from node, and judge whether the section link belongs to the section
Active link set;
If the section link is section active link, the corresponding section active link of generation is calculated according to the vehicle record of crossing
Section bicycle sample, and according in the road conditions period bicycle sample generate section sample set.
4. according to the method described in claim 3, it is characterized in that, from node traverses road network each section, generate start node
The active link for being laid with the alert equipment of card with terminal node includes:
Each section from node traverses road network generates comprising starting bayonet number, terminates bayonet number and terminate bayonet access mouth side
To section active link set, and cache the section active link set.
5. according to the method described in claim 4, it is characterized in that, described generate section chain according to the vehicle record of crossing from node
Road includes:
It is described from node it is every obtain one it is new cross vehicle record after, search this it is new cross vehicle and record corresponding previous cross vehicle note
Record;
By comparing new crossing, vehicle is recorded and its it's the vehicle time pasts corresponding previous cross in vehicle record, and generating includes starting bayonet
Number, terminate bayonet number and terminate bayonet access mouth direction section link;
It is described from node timing cache it is described it is new cross vehicle record, cache-time is the backtracking threshold period time.
6. the method according to claim 1, wherein being had according to described corresponding section of vehicle record calculating generation of crossing
The bicycle sample of link is imitated, and includes: according to the sample set that the bicycle sample in the road conditions period generates section
According to new crossing, vehicle is recorded and its corresponding previous vehicle record of crossing calculates average speed, generates bicycle sample;
Judge whether the bicycle sample is credible;
Collect the sample set that all believable bicycle samples in the road conditions period generate section.
7. according to the method described in claim 6, it is characterized in that, judging whether the bicycle sample is credible and including:
Believability threshold is preset according to type of vehicle and vehicle running characteristics;
New vehicle record and its previous confidence level crossed vehicle record and calculate corresponding bicycle sample are crossed according to described;
The confidence level for comparing the default believability threshold and the bicycle sample, when the bicycle sample confidence level be greater than etc.
When the default believability threshold, then the bicycle sample is credible;When the confidence level of the bicycle sample is less than described preset
When believability threshold, then the bicycle sample is rejected.
8. a kind of distributed system for obtaining real-time road condition information characterized by comprising
It is set to the alert equipment of card of road network, for obtaining vehicle record;
It is distributed from node, it is each it is described be used to obtain and store that it corresponds to a license plate crosses vehicle record from node, served as
When vehicle record storage, generate according to vehicle record is crossed respectively since the bicycle sample in the section of node, and according to the list in the road conditions period
The sample set in vehicle sample generation section;
Primary server for collecting the sample set in each all sections from node when reaching in a road conditions period, and generates
Traffic information.
9. system according to claim 8, which is characterized in that it further included vehicle record distribution module, it is described to cross vehicle record
Distribution module is used to preset row key range from node to be each, carries out Hash operation to the corresponding character string of license plate and obtains vehicle
The cryptographic Hash of board, and using preset value to obtaining row key value after the cryptographic Hash modulus of the license plate, it is corresponding according to license plate
Slave node corresponding to default row key range of the row key value selection comprising the row key value, and by the license plate
Cross vehicle record be sent to this from node.
10. system according to claim 8, which is characterized in that described to include: from node
Section active link set generation module generates start node and terminal node is uniformly distributed for traversing each section in road network
Section active link set equipped with the alert equipment of card;
Whether active link judgment module for generating section link according to the vehicle record of crossing, and judges the section link
Belong to the section active link set;
Bicycle sample set generation module, for crossing vehicle recording gauge according to described when the section link is section active link
The bicycle sample for generating the section of the corresponding section active link is calculated, and section is generated according to the bicycle sample in the road conditions period
Sample set.
11. system according to claim 10, which is characterized in that the active link judgment module is for traversing in road network
Each section generates comprising starting bayonet number, terminates bayonet number and terminate the section active link set in bayonet access mouth direction,
And cache the section active link set.
12. system according to claim 11, which is characterized in that the active link judgment module includes:
Cross vehicle record queries unit, for it is every obtain one it is new cross vehicle record after, search this it is new cross vehicle record it is corresponding before
One is crossed vehicle record;
Section link generation unit, for vehicle to record and its corresponding previous cross in vehicle record crosses vehicle by comparing new crossing
Time generates comprising starting bayonet number, terminates bayonet number and terminate the section link in bayonet access mouth direction;
Vehicle record buffer memory unit is crossed, is recorded for periodically caching the new vehicle of crossing, cache-time is the backtracking threshold period time.
13. system according to claim 8, which is characterized in that the bicycle sample set generation module includes:
Bicycle sample generation unit, for crossing vehicle record and its corresponding previous vehicle record of crossing calculates average speed according to new
Degree generates bicycle sample;
Bicycle sample is credible judging unit, for judging whether the bicycle sample is credible;
Bicycle sample set generation unit generates the bicycle sample in section for collecting all believable bicycle samples in the road conditions period
Collection.
14. system according to claim 13, which is characterized in that bicycle sample is credible, and judging unit is used for according to vehicle class
Type and vehicle running characteristics preset believability threshold, and new cross vehicle record and its previous vehicle record of crossing calculates pair according to described
The confidence level for the bicycle sample answered;The confidence level for comparing the default believability threshold and the bicycle sample, when the bicycle
When the confidence level of sample is more than or equal to the default believability threshold, then the bicycle sample is credible;When the bicycle sample
When confidence level is less than the default believability threshold, then the bicycle sample is rejected.
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---|---|---|---|---|
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 |
CN107622656B (en) * | 2017-09-14 | 2020-08-04 | 王淑芳 | Cross-region data processing method and system for key operation vehicle |
CN108847042B (en) * | 2018-08-24 | 2021-04-02 | 讯飞智元信息科技有限公司 | Road condition information publishing method and device |
CN113643541B (en) * | 2021-09-10 | 2022-10-21 | 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 |
CN115440037B (en) * | 2022-08-30 | 2024-03-26 | 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 (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 | 杭州海康威视系统技术有限公司 | 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 |
Family Cites Families (1)
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 |
-
2015
- 2015-04-21 CN CN201510188328.5A patent/CN106157628B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
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 | 杭州海康威视系统技术有限公司 | 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 |
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