CN104851302B - A kind of jam level Network Recognition method - Google Patents
A kind of jam level Network Recognition method Download PDFInfo
- Publication number
- CN104851302B CN104851302B CN201510316144.2A CN201510316144A CN104851302B CN 104851302 B CN104851302 B CN 104851302B CN 201510316144 A CN201510316144 A CN 201510316144A CN 104851302 B CN104851302 B CN 104851302B
- Authority
- CN
- China
- Prior art keywords
- target road
- road section
- section
- spot
- automobile
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Classifications
-
- 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
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
-
- H—ELECTRICITY
- H04—ELECTRIC COMMUNICATION TECHNIQUE
- H04N—PICTORIAL COMMUNICATION, e.g. TELEVISION
- H04N7/00—Television systems
- H04N7/18—Closed-circuit television [CCTV] systems, i.e. systems in which the video signal is not broadcast
Abstract
The present invention relates to a kind of jam level Network Recognition method, the method comprises the following steps: 1) a kind of jam level Network Recognition system is provided, described recognition system comprises image receiving apparatus on the spot, car terminals data receiver and embedded processing equipment, described image receiving apparatus on the spot receives the section image on the spot of the target road section of the camera transmission being in target road section by network service, described car terminals data receiver receives the automobile real-time speed of the car terminals transmission being in target road section by network service, described embedded processing equipment is according to the jam level of described section image and described automobile real-time speed determination target road section on the spot, and 2) use described recognition system to identify.
Description
Technical field
The present invention relates to network communication field, particularly relate to a kind of jam level Network Recognition method.
Background technology
Because the growth of automobile quantity is often beyond the growth of urban traffic road area, thus, congestion in road becomes the common fault in each city day by day, is especially on duty early evening peak and period festivals or holidays, congestion in road wastes the time of people, reduces the work efficiency of entire society.
In order to more reasonably utilize existing urban road resource, in prior art, there is some technical schemes that road congestion conditions is provided, for helping people to avoid congestion in road section, having reduced transit time, increasing work efficiency.Fact proved, adopt section parameter of blocking up can effectively relax urban congestion problem.
But, in prior art, single factor test detecting pattern is generally depended on to the detection of the congestion level in a certain section, such as satellite remote sensing images, on the spot car speed or on the spot photographed images, but single factor test detects the interference being easily subject to self detection system and bringing, such as photographed images is easily subject to the interference of haze concentration on the spot on the spot, causes accuracy of detection not high.
For this reason, the present invention proposes a kind of new section congestion level detection scheme, can by photographed images and car speed combination on the spot on the spot, and determine on the spot section congestion level time, adaptively should be two factors rational weighted value is set, thus the accuracy of detection of effective guarantee dual factors detecting pattern of the present invention, the efficient trip be convenient for people to.
Summary of the invention
In order to solve the technical matters that prior art exists, the invention provides a kind of jam level Network Recognition method, photographed images and the on the spot weighted value of car speed two factor when determining target road section jam level is on the spot determined based on haze concentration on the spot, simultaneously, also introduce high-precision image recognition technology and battery saving mode, improve reliability and the accuracy of recognition system.
According to an aspect of the present invention, provide a kind of jam level Network Recognition method, the method comprises the following steps: 1) a kind of jam level Network Recognition system is provided, described recognition system comprises image receiving apparatus on the spot, car terminals data receiver and embedded processing equipment, described image receiving apparatus on the spot receives the section image on the spot of the target road section of the camera transmission being in target road section by network service, described car terminals data receiver receives the automobile real-time speed of the car terminals transmission being in target road section by network service, described embedded processing equipment is according to the jam level of described section image and described automobile real-time speed determination target road section on the spot, and 2) use described recognition system to identify
More specifically, in described jam level Network Recognition system, also comprise: haze concentration requesting service, be connected with gps data query facility, for the gps data of target road section is sent to local meteorological monitor supervision platform, so that the meteorological monitor supervision platform in described locality is according to the haze concentration of the gps data determination target road section of target road section, haze concentration receiving equipment, for receiving the haze concentration of the target road section that the meteorological monitor supervision platform in described locality returns, request receiving equipment, for the request of the congestion level in receiving target section, the request of the congestion level of described target road section comprises the title of target road section and the mark of requesting terminal, and described request receiving equipment resolves the request of the congestion level of described target road section with the mark of the title and requesting terminal that obtain target road section, portable hard drive, for prestoring the weight table of comparisons, automobile upper limit gray threshold, automobile lower limit gray threshold and 9 jam level threshold values, the described weight table of comparisons with haze concentration for index, save the weighted value of view data on the spot when determining section jam level and car terminals data rights weight values, haze concentration is larger, view data weighted value is less on the spot, car terminals data rights weight values is larger, described automobile upper limit gray threshold and described automobile lower limit gray threshold are used for the automobile in image and background separation, described 9 jam level threshold values according to equally distributed mode value from small to large to determine 10 jam level intervals, gps data query facility, adopt Cloud Server form to realize, be called index with section name, prestored the gps data in each section, described gps data query facility is connected with described request receiving equipment, for the gps data of the name query target road section in based target section, gps data transmitting apparatus, be connected with described gps data query facility, for the gps data of target road section being sent to the camera being in target road section and the car terminals being in target road section, so that the camera being in target road section returns the section image on the spot of target road section, the car terminals being convenient to be in target road section returns its real-time speed, the section on the spot image of target road section of described image receiving apparatus on the spot for receiving the camera that is in target road section and returning, comprise wavelet filtering subset, edge enhancer equipment, gray processing process subset, automobile recognin equipment and microcontroller, described wavelet filtering subset receives described section image on the spot, to the filtering process of described section image execution on the spot based on Haar wavelet transform wave filter, to obtain section filtering image, described edge enhancer equipment is connected with described wavelet filtering subset, edge is performed to described section filtering image and strengthens process, image is strengthened to obtain section, described gray processing process subset and described edge enhancer equipment connection perform gray processing process to strengthen image to described section, obtain gray level image, described automobile recognin equipment is connected respectively with described gray processing process subset and described portable hard drive, the pixel identification of gray-scale value in described gray level image between described automobile upper limit gray threshold and described automobile lower limit gray threshold is formed multiple automobile subimage, described microcontroller and described automobile recognin equipment connection, the automobile quantity of the quantity of multiple automobile subimage as target road section is exported, described car terminals data receiver is for receiving the real-time speed of the car terminals transmission being in target road section, described embedded processing equipment and described portable hard drive, described haze concentration receiving equipment, described image receiving apparatus is on the spot connected respectively with described car terminals data receiver, the haze concentration in based target section finds the corresponding weighted value of view data on the spot and corresponding car terminals data rights weight values in the described weight table of comparisons, the weighted value of view data on the spot of correspondence is multiplied with the automobile quantity of target road section, by the car terminals data rights weight values of correspondence and the reciprocal multiplication of real-time speed, by two product addition to obtain the congestion level numerical value of target road section, the congestion level numerical value of target road section is dropped on the jam level of the grade in described 10 jam level intervals corresponding to some grade intervals as target road section, congestion level transmitting apparatus, be connected respectively with described request receiving equipment and described embedded processing equipment, for the mark based on described request terminal, the jam level of the target road section exported by described embedded processing equipment is sent to the requesting terminal corresponding to mark of described request terminal, wherein, described wavelet filtering subset, edge enhancer equipment, gray processing process subset, automobile recognin equipment adopt the fpga chip of different model to realize respectively, and described wavelet filtering subset, edge enhancer equipment, gray processing process subset, automobile recognin equipment and microcontroller are integrated on one piece of surface-mounted integrated circuit, described embedded processing equipment is when the request of congestion level receiving the target road section that request receiving equipment sends, by described gps data query facility, described gps data transmitting apparatus, described haze concentration requesting service, described haze concentration receiving equipment, described image receiving apparatus on the spot and described car terminals data receiver start from battery saving mode, when described embedded processing equipment is after the jam level sending target road section, control described gps data query facility, described gps data transmitting apparatus, described haze concentration requesting service, described haze concentration receiving equipment, described image receiving apparatus on the spot and described car terminals data receiver enter battery saving mode.
More specifically, in described jam level Network Recognition system: described microcontroller is single-chip microcomputer.
More specifically, in described jam level Network Recognition system, also comprise: display device, with described embedded processing equipment connection, for showing the quantity of automobile on the spot of described target road section, the automobile quantity of described target road section and the jam level of described target road section.
More specifically, in described jam level Network Recognition system, also comprise: power-supply unit, comprise solar powered device, lithium battery, change-over switch and electric pressure converter, described change-over switch is connected respectively with described solar powered device and described lithium battery, dump energy according to lithium battery determines whether be switched to described solar powered device to be powered by described solar powered device, described electric pressure converter is connected with described change-over switch, with the 5V voltage transitions will inputted by change-over switch for 3.3V voltage.
More specifically, in described jam level Network Recognition system: described embedded processing equipment is ARM11 processor.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is the block diagram of the jam level Network Recognition system illustrated according to an embodiment of the present invention.
Embodiment
Below with reference to accompanying drawings the embodiment of jam level Network Recognition system of the present invention is described in detail.
Current navigator, it generally depends on single factor test pattern to the detection of the congestion in section, and this pattern is easily interfered, and causes the reference data improved not have reference value, even has misleading, for the trip of people brings inconvenience.
In order to overcome above-mentioned deficiency, the present invention has built a kind of jam level Network Recognition system, by photographed images on the spot and on the spot car speed combined the real-time jam level judging each target road section by weighting scheme, thus effectively to solve the problems of the technologies described above.
Fig. 1 is the block diagram of the jam level Network Recognition system illustrated according to an embodiment of the present invention, described recognition system comprises image receiving apparatus 1 on the spot, car terminals data receiver 2 and embedded processing equipment 3, described image receiving apparatus on the spot 1 receives the section image on the spot of the target road section of the camera transmission being in target road section by network service, described car terminals data receiver 2 receives the automobile real-time speed of the car terminals transmission being in target road section by network service, described embedded processing equipment 3 is according to the jam level of described section image and described automobile real-time speed determination target road section on the spot.
Then, continue to be further detailed the concrete structure of jam level Network Recognition system of the present invention.
Described recognition system also comprises: haze concentration requesting service, be connected with gps data query facility, for the gps data of target road section is sent to local meteorological monitor supervision platform, so that the meteorological monitor supervision platform in described locality is according to the haze concentration of the gps data determination target road section of target road section.
Described recognition system also comprises: haze concentration receiving equipment, for receiving the haze concentration of the target road section that the meteorological monitor supervision platform in described locality returns.
Described recognition system also comprises: request receiving equipment, for the request of the congestion level in receiving target section, the request of the congestion level of described target road section comprises the title of target road section and the mark of requesting terminal, and described request receiving equipment resolves the request of the congestion level of described target road section with the mark of the title and requesting terminal that obtain target road section.
Portable hard drive, for prestoring the weight table of comparisons, automobile upper limit gray threshold, automobile lower limit gray threshold and 9 jam level threshold values, the described weight table of comparisons with haze concentration for index, save the weighted value of view data on the spot when determining section jam level and car terminals data rights weight values, haze concentration is larger, view data weighted value is less on the spot, car terminals data rights weight values is larger, described automobile upper limit gray threshold and described automobile lower limit gray threshold are used for the automobile in image and background separation, described 9 jam level threshold values according to equally distributed mode value from small to large to determine 10 jam level intervals.
Described recognition system also comprises: gps data query facility, Cloud Server form is adopted to realize, index is called with section name, prestore the gps data in each section, described gps data query facility is connected with described request receiving equipment, for the gps data of the name query target road section in based target section.
Described recognition system also comprises: gps data transmitting apparatus, be connected with described gps data query facility, for the gps data of target road section being sent to the camera being in target road section and the car terminals being in target road section, so that the camera being in target road section returns the section image on the spot of target road section, the car terminals being convenient to be in target road section returns its real-time speed.
The section on the spot image of target road section of described image receiving apparatus on the spot 1 for receiving the camera that is in target road section and returning, comprise wavelet filtering subset, edge enhancer equipment, gray processing process subset, automobile recognin equipment and microcontroller, described wavelet filtering subset receives described section image on the spot, to the filtering process of described section image execution on the spot based on Haar wavelet transform wave filter, to obtain section filtering image, described edge enhancer equipment is connected with described wavelet filtering subset, edge is performed to described section filtering image and strengthens process, image is strengthened to obtain section, described gray processing process subset and described edge enhancer equipment connection perform gray processing process to strengthen image to described section, obtain gray level image, described automobile recognin equipment is connected respectively with described gray processing process subset and described portable hard drive, the pixel identification of gray-scale value in described gray level image between described automobile upper limit gray threshold and described automobile lower limit gray threshold is formed multiple automobile subimage, described microcontroller and described automobile recognin equipment connection, the automobile quantity of the quantity of multiple automobile subimage as target road section is exported.
Described car terminals data receiver 2 is for receiving the real-time speed of the car terminals transmission being in target road section.
Described embedded processing equipment 3 and described portable hard drive, described haze concentration receiving equipment, described image receiving apparatus on the spot 1 is connected respectively with described car terminals data receiver 2, the haze concentration in based target section finds the corresponding weighted value of view data on the spot and corresponding car terminals data rights weight values in the described weight table of comparisons, the weighted value of view data on the spot of correspondence is multiplied with the automobile quantity of target road section, by the car terminals data rights weight values of correspondence and the reciprocal multiplication of real-time speed, by two product addition to obtain the congestion level numerical value of target road section, the congestion level numerical value of target road section is dropped on the jam level of the grade in described 10 jam level intervals corresponding to some grade intervals as target road section.
Described recognition system also comprises: congestion level transmitting apparatus, be connected respectively with described request receiving equipment and described embedded processing equipment 3, for the mark based on described request terminal, the jam level of the target road section exported by described embedded processing equipment is sent to the requesting terminal corresponding to mark of described request terminal.
Wherein, described wavelet filtering subset, edge enhancer equipment, gray processing process subset, automobile recognin equipment adopt the fpga chip of different model to realize respectively, and described wavelet filtering subset, edge enhancer equipment, gray processing process subset, automobile recognin equipment and microcontroller are integrated on one piece of surface-mounted integrated circuit, described embedded processing equipment 3 is when the request of congestion level receiving the target road section that request receiving equipment sends, by described gps data query facility, described gps data transmitting apparatus, described haze concentration requesting service, described haze concentration receiving equipment, described image receiving apparatus on the spot 1 and described car terminals data receiver 2 start from battery saving mode, when described embedded processing equipment 3 is after the jam level sending target road section, control described gps data query facility, described gps data transmitting apparatus, described haze concentration requesting service, described haze concentration receiving equipment, described image receiving apparatus on the spot 1 and described car terminals data receiver 2 enter battery saving mode.
Alternatively, described microcontroller is single-chip microcomputer; Described jam level Network Recognition system also comprises: display device, is connected with described embedded processing equipment 3, for showing the quantity of automobile on the spot of described target road section, the automobile quantity of described target road section and the jam level of described target road section; Described jam level Network Recognition system also comprises: power-supply unit, comprise solar powered device, lithium battery, change-over switch and electric pressure converter, described change-over switch is connected respectively with described solar powered device and described lithium battery, dump energy according to lithium battery determines whether be switched to described solar powered device to be powered by described solar powered device, described electric pressure converter is connected with described change-over switch, with the 5V voltage transitions will inputted by change-over switch for 3.3V voltage; And described embedded processing equipment 3 is ARM11 processor.
In addition, FPGA (Field-ProgrammableGateArray), i.e. field programmable gate array, he is the product further developed on the basis of the programming devices such as PAL, GAL, CPLD.He occurs as a kind of semi-custom circuit in special IC (ASIC) field, has both solved the deficiency of custom circuit, overcomes again the shortcoming that original programming device gate circuit number is limited.
With the circuit design that hardware description language (Verilog or VHDL) completes, can through simple comprehensive and layout, being burned onto fast on FPGA and testing, is the technology main flow of modern IC designs checking.These can be edited element and can be used to realize some basic logic gates (such as AND, OR, XOR, NOT) or more more complex combination function such as demoder or mathematical equation.Inside most FPGA, in these editable elements, also comprise memory cell such as trigger (Flip-flop) or other more complete block of memory.System designer can be coupled together the logical block of FPGA inside by editable connection as required, just looks like that a breadboard has been placed in a chip.One dispatch from the factory after the logical block of finished product FPGA can change according to deviser with being connected, so FPGA can complete required logic function.
FPGA is in general slow than the speed of ASIC (special IC), realizes same function ratio ASIC circuit area and wants large.But they also have a lot of advantages such as can finished product fast, can be modified the mistake in correction program and more cheap cost.Manufacturer also may provide the FPGA of cheap still edit capability difference.Because these chips have poor can edit capability, so exploitations of these designs complete on common FPGA, then design is transferred to one and is similar on the chip of ASIC.Another method is with CPLD (ComplexProgrammableLogicDevice, CPLD).The exploitation of FPGA has a great difference relative to the exploitation of conventional P C, single-chip microcomputer.FPGA, based on concurrent operation, realizes with hardware description language; Very large difference is had compared to the sequential operation of PC or single-chip microcomputer (no matter being von Neumann structure or Harvard structure).
As far back as 1980 mid-nineties 90s, FPGA takes root in PLD equipment.CPLD and FPGA includes the Programmadle logic unit of some relatively large amount.The density of CPLD logic gate is between several thousand to several ten thousand logical blocks, and FPGA normally arrives millions of several ten thousand.The key distinction of CPLD and FPGA is their system architecture.CPLD is a somewhat restrictive structure.This structure is arranged by the logical groups of one or more editable result sum and forms with the register of the locking of some relatively small amounts.Such result lacks editor's dirigibility, but but have the time delay and logical block that can estimate to the advantage of linkage unit height ratio.And FPGA has a lot of linkage units, although allow him edit more flexibly like this, structure is complicated many.
Adopt jam level Network Recognition system of the present invention, for the technical matters that single factor test section congestion level detecting pattern testing result precision in prior art is not high, will on the spot photographed images and on the spot car speed combined by weighting scheme, carry out graduation to the congestion level of each target road section to judge, thus provide more valuable navigation data for people.
Be understandable that, although the present invention with preferred embodiment disclose as above, but above-described embodiment and be not used to limit the present invention.For any those of ordinary skill in the art, do not departing under technical solution of the present invention ambit, the technology contents of above-mentioned announcement all can be utilized to make many possible variations and modification to technical solution of the present invention, or be revised as the Equivalent embodiments of equivalent variations.Therefore, every content not departing from technical solution of the present invention, according to technical spirit of the present invention to any simple modification made for any of the above embodiments, equivalent variations and modification, all still belongs in the scope of technical solution of the present invention protection.
Claims (1)
1. a jam level Network Recognition method, the method comprises the following steps:
1) a kind of jam level Network Recognition system is provided, described recognition system comprises image receiving apparatus on the spot, car terminals data receiver and embedded processing equipment, described image receiving apparatus on the spot receives the section image on the spot of the target road section of the camera transmission being in target road section by network service, described car terminals data receiver receives the automobile real-time speed of the car terminals transmission being in target road section by network service, described embedded processing equipment is according to the jam level of described section image and described automobile real-time speed determination target road section on the spot, and
2) use described recognition system to identify;
Described recognition system also comprises:
Haze concentration requesting service, is connected with gps data query facility, for the gps data of target road section is sent to local meteorological monitor supervision platform, so that the meteorological monitor supervision platform in described locality is according to the haze concentration of the gps data determination target road section of target road section;
Haze concentration receiving equipment, for receiving the haze concentration of the target road section that the meteorological monitor supervision platform in described locality returns;
Request receiving equipment, for the request of the congestion level in receiving target section, the request of the congestion level of described target road section comprises the title of target road section and the mark of requesting terminal, and described request receiving equipment resolves the request of the congestion level of described target road section with the mark of the title and requesting terminal that obtain target road section;
Portable hard drive, for prestoring the weight table of comparisons, automobile upper limit gray threshold, automobile lower limit gray threshold and 9 jam level threshold values, the described weight table of comparisons with haze concentration for index, save the weighted value of view data on the spot when determining section jam level and car terminals data rights weight values, haze concentration is larger, view data weighted value is less on the spot, car terminals data rights weight values is larger, described automobile upper limit gray threshold and described automobile lower limit gray threshold are used for the automobile in image and background separation, described 9 jam level threshold values according to equally distributed mode value from small to large to determine 10 jam level intervals,
Gps data query facility, adopt Cloud Server form to realize, be called index with section name, prestored the gps data in each section, described gps data query facility is connected with described request receiving equipment, for the gps data of the name query target road section in based target section;
Gps data transmitting apparatus, be connected with described gps data query facility, for the gps data of target road section being sent to the camera being in target road section and the car terminals being in target road section, so that the camera being in target road section returns the section image on the spot of target road section, the car terminals being convenient to be in target road section returns its real-time speed;
The section on the spot image of target road section of described image receiving apparatus on the spot for receiving the camera that is in target road section and returning, comprise wavelet filtering subset, edge enhancer equipment, gray processing process subset, automobile recognin equipment and microcontroller, described wavelet filtering subset receives described section image on the spot, to the filtering process of described section image execution on the spot based on Haar wavelet transform wave filter, to obtain section filtering image, described edge enhancer equipment is connected with described wavelet filtering subset, edge is performed to described section filtering image and strengthens process, image is strengthened to obtain section, described gray processing process subset and described edge enhancer equipment connection perform gray processing process to strengthen image to described section, obtain gray level image, described automobile recognin equipment is connected respectively with described gray processing process subset and described portable hard drive, the pixel identification of gray-scale value in described gray level image between described automobile upper limit gray threshold and described automobile lower limit gray threshold is formed multiple automobile subimage, described microcontroller and described automobile recognin equipment connection, the automobile quantity of the quantity of multiple automobile subimage as target road section is exported,
Described car terminals data receiver is for receiving the real-time speed of the car terminals transmission being in target road section;
Described embedded processing equipment and described portable hard drive, described haze concentration receiving equipment, described image receiving apparatus is on the spot connected respectively with described car terminals data receiver, the haze concentration in based target section finds the corresponding weighted value of view data on the spot and corresponding car terminals data rights weight values in the described weight table of comparisons, the weighted value of view data on the spot of correspondence is multiplied with the automobile quantity of target road section, by the car terminals data rights weight values of correspondence and the reciprocal multiplication of real-time speed, by two product addition to obtain the congestion level numerical value of target road section, the congestion level numerical value of target road section is dropped on the jam level of the grade in described 10 jam level intervals corresponding to some grade intervals as target road section,
Congestion level transmitting apparatus, be connected respectively with described request receiving equipment and described embedded processing equipment, for the mark based on described request terminal, the jam level of the target road section exported by described embedded processing equipment is sent to the requesting terminal corresponding to mark of described request terminal;
Wherein, described wavelet filtering subset, edge enhancer equipment, gray processing process subset, automobile recognin equipment adopt the fpga chip of different model to realize respectively, and described wavelet filtering subset, edge enhancer equipment, gray processing process subset, automobile recognin equipment and microcontroller are integrated on one piece of surface-mounted integrated circuit;
Wherein, described embedded processing equipment is when the request of congestion level receiving the target road section that request receiving equipment sends, by described gps data query facility, described gps data transmitting apparatus, described haze concentration requesting service, described haze concentration receiving equipment, described image receiving apparatus on the spot and described car terminals data receiver start from battery saving mode, when described embedded processing equipment is after the jam level sending target road section, control described gps data query facility, described gps data transmitting apparatus, described haze concentration requesting service, described haze concentration receiving equipment, described image receiving apparatus on the spot and described car terminals data receiver enter battery saving mode.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510316144.2A CN104851302B (en) | 2015-06-10 | 2015-06-10 | A kind of jam level Network Recognition method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510316144.2A CN104851302B (en) | 2015-06-10 | 2015-06-10 | A kind of jam level Network Recognition method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN104851302A CN104851302A (en) | 2015-08-19 |
| CN104851302B true CN104851302B (en) | 2016-03-16 |
Family
ID=53850917
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510316144.2A Active CN104851302B (en) | 2015-06-10 | 2015-06-10 | A kind of jam level Network Recognition method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN104851302B (en) |
Families Citing this family (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108960028B (en) * | 2018-03-23 | 2019-04-05 | 重庆赢盛达科技有限公司 | Congestion level based on image analysis judges system |
| CN109886199B (en) * | 2019-02-21 | 2022-04-12 | 阿波罗智联(北京)科技有限公司 | Information processing method and device, vehicle and mobile terminal |
| CN113808420B (en) * | 2021-08-04 | 2023-07-28 | 北京百度网讯科技有限公司 | Information prompting method and device for vehicle, storage medium and electronic equipment |
| CN114202936B (en) * | 2021-12-17 | 2023-04-21 | 重庆特斯联智慧科技股份有限公司 | Traffic guidance robot and control method thereof |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1790441A (en) * | 2004-12-16 | 2006-06-21 | 上海中油企业集团有限公司 | Urban traffic state real-time observing method and observing system |
| US7692552B2 (en) * | 2007-01-23 | 2010-04-06 | International Business Machines Corporation | Method and system for improving driver safety and situational awareness |
| CN102855759A (en) * | 2012-07-05 | 2013-01-02 | 中国科学院遥感应用研究所 | Automatic collecting method of high-resolution satellite remote sensing traffic flow information |
| CN102930735A (en) * | 2012-10-25 | 2013-02-13 | 安徽科力信息产业有限责任公司 | City real-time traffic and road condition information issuing method based on traffic video |
-
2015
- 2015-06-10 CN CN201510316144.2A patent/CN104851302B/en active Active
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1790441A (en) * | 2004-12-16 | 2006-06-21 | 上海中油企业集团有限公司 | Urban traffic state real-time observing method and observing system |
| US7692552B2 (en) * | 2007-01-23 | 2010-04-06 | International Business Machines Corporation | Method and system for improving driver safety and situational awareness |
| CN102855759A (en) * | 2012-07-05 | 2013-01-02 | 中国科学院遥感应用研究所 | Automatic collecting method of high-resolution satellite remote sensing traffic flow information |
| CN102930735A (en) * | 2012-10-25 | 2013-02-13 | 安徽科力信息产业有限责任公司 | City real-time traffic and road condition information issuing method based on traffic video |
Non-Patent Citations (1)
| Title |
|---|
| 基于3G技术的浮动车交通信息采集系统研究;何鹏等;《现代电子技术》;20090901(第17期) * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN104851302A (en) | 2015-08-19 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN104952247A (en) | Congestion level analysis platform based on double communication data | |
| CN104851302B (en) | A kind of jam level Network Recognition method | |
| CN104835329B (en) | Based on the section congestion level detection system of remote sensing communication | |
| CN102013155B (en) | Remote meter reading system utilizing time division (TD) network and implementation method thereof | |
| CN105466435A (en) | Route planning method and device for navigation system | |
| CN109325409B (en) | Passing vehicle fake plate inspection platform | |
| CN105371823A (en) | Platform for real-time monitoring of inclination of transmission tower | |
| CN104851296B (en) | A kind of section based on remote sensing communication degree detecting system of blocking up | |
| CN103954277A (en) | Method and device for detecting positions of interest points | |
| CN113935441A (en) | Method and device for selecting automobile automatic driving function test road and storage medium | |
| CN109743351A (en) | A kind of method, apparatus, dustbin and the server of the distribution of adjustment dustbin | |
| CN105513343A (en) | Congestion level network identification system | |
| CN102662182B (en) | Mobile object positioning tracking information acquisition apparatus and operation method thereof | |
| CN105403198A (en) | Electric transmission line iron tower inclination degree real-time monitoring method | |
| CN103855739B (en) | Charging electric vehicle facility proportional arrangement system and method | |
| CN104851297B (en) | A kind of jam level analysis platform based on dual communication data | |
| CN114118615A (en) | Intelligent garbage clearing and dispatching method and related equipment | |
| CN108091145A (en) | Intelligent traffic management systems based on PLC controls | |
| CN203014424U (en) | Electric automobile charging facility proportion configuration system | |
| CN116433302A (en) | Store location method and electronic equipment | |
| US20230161923A1 (en) | Method and internet of things system for deploying nucleic acid detection points in a smart city | |
| CN115271108A (en) | State monitoring method of positioning assembly, server and shared vehicle | |
| Liu et al. | Research on application of smart phone and vehicle positioning analysis model based on snn density st-optics algorithm in hov lanes | |
| Fayyad et al. | IoT based Fourth Generation SCADA System for High Voltage Networks Fault Diagnosis based on BSDT-ANN | |
| CN105136734A (en) | Capsule near-infrared fault analysis method |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C53 | Correction of patent for invention or patent application | ||
| CB02 | Change of applicant information |
Address after: Lishui Economic Development Zone Nanjing City, Jiangsu province 211215 zhe Ning Road No. 9 Applicant after: Zheng Yong Address before: 225400 No. 19 national day West Road, Taixing, Jiangsu, Taizhou Applicant before: Zheng Yong |
|
| COR | Change of bibliographic data |
Free format text: CORRECT: ADDRESS; FROM: 225400 TAIZHOU, JIANGSU PROVINCE TO: 211215 NANJING, JIANGSU PROVINCE |
|
| EXSB | Decision made by sipo to initiate substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| C14 | Grant of patent or utility model | ||
| C41 | Transfer of patent application or patent right or utility model | ||
| CB03 | Change of inventor or designer information |
Inventor after: Mao Yongquan Inventor after: Zhang Dongliang Inventor after: You Guixi Inventor after: Xing Zidi Inventor before: Zheng Yong |
|
| COR | Change of bibliographic data | ||
| GR01 | Patent grant | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20160224 Address after: 350001, 8 floor, Xin Hua tower, No. 97 Lake East Road, Gulou District, Fujian, Fuzhou Applicant after: The auspicious poly-infotech share company limited in Fujian Address before: Lishui Economic Development Zone Nanjing City, Jiangsu province 211215 zhe Ning Road No. 9 Applicant before: Zheng Yong |