CN105157710B - Section congestion level detecting system based on remote sensing communication - Google Patents
Section congestion level detecting system based on remote sensing communication Download PDFInfo
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- CN105157710B CN105157710B CN201510578638.8A CN201510578638A CN105157710B CN 105157710 B CN105157710 B CN 105157710B CN 201510578638 A CN201510578638 A CN 201510578638A CN 105157710 B CN105157710 B CN 105157710B
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- 238000004891 communication Methods 0.000 title claims abstract description 23
- 238000012545 processing Methods 0.000 claims description 27
- 238000001914 filtration Methods 0.000 claims description 19
- 238000010295 mobile communication Methods 0.000 claims description 16
- 230000006978 adaptation Effects 0.000 claims description 14
- 238000000605 extraction Methods 0.000 claims description 12
- 230000008901 benefit Effects 0.000 claims description 3
- 230000002708 enhancing effect Effects 0.000 claims description 3
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- 230000005540 biological transmission Effects 0.000 claims description 2
- 238000001514 detection method Methods 0.000 description 14
- 238000005516 engineering process Methods 0.000 description 5
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- 230000000903 blocking effect Effects 0.000 description 4
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- 238000012986 modification Methods 0.000 description 3
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- 230000008569 process Effects 0.000 description 3
- 230000003044 adaptive effect Effects 0.000 description 2
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Classifications
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/065—Traffic control systems for road vehicles by counting the vehicles in a section of the road or in a parking area, i.e. comparing incoming count with outgoing count
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/28—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network with correlation of data from several navigational instruments
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0133—Traffic data processing for classifying traffic situation
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- Automation & Control Theory (AREA)
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Abstract
The present invention relates to a kind of section congestion level detecting system based on remote sensing communication, described detecting system includes that satellite remote sensing images receives equipment, car terminals data receiver and computerized equipment, described satellite remote sensing images receives equipment and receives the section remote sensing images of the target road section that remote sensing satellite sends, described car terminals data receiver receives and is in the automobile real-time speed that the car terminals of target road section sends, and described computerized equipment determines the jam level of target road section according to described section remote sensing images and described automobile real-time speed.It is used for determining congestion level on the spot by means of the invention it is possible to satellite remote sensing and automobile speed are on the spot combined, and the weighted value of each factor when determining congestion level can be arranged on according to cloud thickness size.
Description
The present invention is Application No. 201510307548.5, filing date June 6 in 2015 day,
The divisional application of the patent of bright entitled " section congestion level detecting system based on remote sensing communication ".
Technical field
The present invention relates to the remote sensing communications field, particularly relate to a kind of section based on remote sensing communication and block up journey
Degree detecting system.
Background technology
In prior art, the detection to the congestion level in a certain section commonly relies on single factor test detection mould
Formula, such as satellite remote sensing images, on the spot car speed or on the spot photographed images, but single factor test detection is held
Being vulnerable to the interference that self detection system is brought, such as satellite remote sensing is easily subject to Cloud layer thickness
Interference, causes accuracy of detection the highest.
To this end, the present invention proposes a kind of new section congestion level detection scheme, it is possible to remote sensing is led to
Letter data and on the spot data combine, and when determining section congestion level on the spot, adaptive should be two because of
Element arranges rational weighted value, thus the detection of the dual factors of effective guarantee present invention detection pattern is smart
Degree, for the reference data that the trip offer of people is more valuable.
Summary of the invention
In order to solve the technical problem that prior art exists, the invention provides a kind of based on remote sensing communication
Section congestion level detecting system, determine remote sensing communication data based on Cloud layer thickness and count on the spot
According to two factors weighted value when determining target road section jam level, meanwhile, also introduce high-precision
Image recognition technology and battery saving mode, improve reliability and the accuracy of detecting system.
According to an aspect of the present invention, it is provided that a kind of section based on remote sensing communication congestion level detection
System, described detecting system includes that satellite remote sensing images receives equipment, car terminals data receiver
And computerized equipment, described satellite remote sensing images receives equipment and receives the target that remote sensing satellite sends
The section remote sensing images in section, described car terminals data receiver receives the vapour being in target road section
The automobile real-time speed that car terminal sends, described computerized equipment is according to described section remote sensing images
With the jam level that described automobile real-time speed determines target road section.
More specifically, in described section congestion level detecting system based on remote sensing communication, also include:
Congestion level request reception equipment, for receiving the request of the congestion level of target road section, described target
The request of the congestion level in section includes the title of target road section and the mark of requesting terminal, described in gather around
Stifled degree request reception equipment resolves the request of the congestion level of described target road section to obtain target road
The title of section and the mark of requesting terminal；Storage device, is used 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 cloud thickness for index, save the remotely-sensed data weighted value when determining section jam level and vapour
Car terminal data weighted value, cloud thickness is the biggest, and remotely-sensed data weighted value is the least, car terminals data
Weighted value is the biggest, and described automobile upper limit gray threshold and described automobile lower limit gray threshold are for by image
In automobile and background separation, described 9 jam level threshold values are according to the most equally distributed side
Formula value is to determine 10 jam level intervals；Query facility, uses Cloud Server form to realize,
With the entitled index in section, the gps data in each section, described query facility and institute are prestored
State congestion level request reception equipment to connect, for name query target road section based on target road section
Gps data；Target road section information transmitting apparatus, is connected with described query facility, for by target road
The gps data of section is sent to remote sensing satellite and is in the car terminals of target road section, in order to remote sensing is defended
Star returns the section remote sensing images of target road section, it is simple to the car terminals being in target road section returns it
Real-time speed；Cloud thickness request equipment, is connected with described query facility, for by target road section
Gps data is sent to local meteorological monitor supervision platform, in order to described local meteorological monitor supervision platform is according to mesh
The gps data in mark section determines the cloud thickness of target road section；Cloud thickness receives equipment, receives institute
State the cloud thickness of the target road section that local meteorological monitor supervision platform returns；Described satellite remote sensing images receives
Equipment, for receiving the section remote sensing images of the target road section that remote sensing satellite sends, strengthens including contrast
Unit, self adaptation recursive filtering unit, gray processing processing unit, automobile extraction unit and automobile quantity
Statistic unit, described contrast enhancement unit receives described section remote sensing images and to the remote sensing of described section
Image perform contrast enhancement processing, with obtain strengthen image, described self adaptation recursive filtering unit with
Described contrast enhancement unit connects, and described enhancing image performs self adaptation recursive filtering to obtain filter
Ripple image, described gray processing processing unit is connected with described self adaptation recursive filtering unit with to described filter
Ripple image performs gray processing and processes, it is thus achieved that gray level image, described automobile extraction unit and described gray scale
Change processing unit and described storage device connects, respectively by gray value in described gray level image described
Pixel identification between automobile upper limit gray threshold and described automobile lower limit gray threshold also forms multiple
Automobile subgraph, described automobile quantity statistics unit is connected with described automobile extraction unit, by multiple vapour
The quantity of car image exports as the automobile quantity of target road section；Described car terminals data receiver sets
It is ready for use on to receive and is in the real-time speed that the car terminals of target road section sends；Described computer controls to set
Equipment, described satellite remote sensing images reception equipment is received for described storage device, described cloud thickness
Connecting respectively with described car terminals data receiver, cloud thickness based on target road section is described
The weight table of comparisons finds the remotely-sensed data weighted value of correspondence and corresponding car terminals data weighting
Value, is multiplied corresponding remotely-sensed data weighted value with the automobile quantity of target road section, by corresponding automobile
Terminal data weighted value and the reciprocal multiplication of real-time speed, by two product addition to obtain target road section
Congestion level numerical value, the congestion level numerical value of target road section is fallen in described 10 jam level districts
In between, grade corresponding to some grade interval is as the jam level of target road section；Congestion level is sent out
Send equipment, be connected respectively with described congestion level request reception equipment and described computerized equipment,
For mark based on described requesting terminal, the target road section that described computerized equipment is exported
Jam level is sent to described requesting terminal；Wherein, described contrast enhancement unit, described self adaptation
Recursive filtering unit, described gray processing processing unit, described automobile extraction unit and described automobile quantity
Statistic unit is respectively adopted the fpga chip of different model and realizes；Described computerized equipment exists
When receiving the request of congestion level of the target road section that congestion level request reception equipment sends, by institute
State query facility, described target road section information transmitting apparatus, described cloud thickness request equipment, described
Cloud thickness receives equipment, described satellite remote sensing images receives equipment and described car terminals data receiver
Equipment starts from battery saving mode, when described computerized equipment is sending blocking up of target road section
After Ji, control described query facility, described target road section information transmitting apparatus, described cloud thickness please
Ask equipment, described cloud thickness to receive equipment, described satellite remote sensing images receives equipment and described automobile
Terminal data receives equipment and enters battery saving mode.
More specifically, described based on remote sensing communication section congestion level detecting system in: described in gather around
Stifled degree request reception equipment is that GPRS mobile communication interface, 3G mobile communication interface or 4G move
One in communication interface.
More specifically, described based on remote sensing communication section congestion level detecting system in: described in gather around
It is GPRS mobile communication interface, 3G mobile communication interface or 4G mobile communication that stifled degree sends equipment
One in interface.
More specifically, in described section congestion level detecting system based on remote sensing communication: described meter
Calculation machine controls equipment and also includes display unit, for showing the automobile quantity of described target road section, described
Real-time speed and the jam level of described target road section.
More specifically, in described section congestion level detecting system based on remote sensing communication: described aobvious
Show that unit is liquid crystal display LCD.
Accompanying drawing explanation
Below with reference to accompanying drawing, embodiment of the present invention are described, wherein:
Fig. 1 is according to section based on the remote sensing communication congestion level detection shown in embodiment of the present invention
The block diagram of system.
Detailed description of the invention
Section congestion level detecting system based on remote sensing communication to the present invention below with reference to accompanying drawings
Embodiment be described in detail.
Along with the development of auto industry, people rely on automobile trip more and more frequent, in strange section,
People it is frequently necessary to rely on navigation, avoids congested link, improves traffic efficiency.Thus, each section
Congestion particularly important in auto navigation.
Current navigator, it commonly relies on single factor test mould to the detection of the congestion in section
Formula, this pattern is easily subject to interference, causes the reference data improved without reference to value, even has
Having misleading, the trip for people brings inconvenience.
In order to overcome above-mentioned deficiency, the present invention has built a kind of section congestion level based on remote sensing communication
Detecting system, by satellite remote sensing images and on the spot automobile speed by weighting scheme combine judge each
The real-time jam level of target road section, effectively solves above-mentioned technical problem.
Fig. 1 is according to section based on the remote sensing communication congestion level detection shown in embodiment of the present invention
The block diagram of system, described detecting system includes that satellite remote sensing images receives equipment 1, automobile eventually
End data receives equipment 2 and computerized equipment 3, and described satellite remote sensing images receives equipment 1 and connects
Receive the section remote sensing images of the target road section that remote sensing satellite sends, described car terminals data receiver
The 2 automobile real-time speeds receiving the car terminals transmission being in target road section, described computer controls to set
Standby 3 determine blocking up of target road section according to described section remote sensing images and described automobile real-time speed
Level.
Then, the concrete of the section congestion level detecting system based on remote sensing communication to the present invention is continued
Structure is further detailed.
Described detecting system also includes: congestion level request reception equipment, for receiving target road section
The request of congestion level, the request of the congestion level of described target road section includes the title of target road section
With the mark of requesting terminal, described congestion level request reception equipment resolves blocking up of described target road section
The request of degree is to obtain title and the mark of requesting terminal of target road section.
Described detecting system also includes: storage device, is used for prestoring the weight table of comparisons, automobile
Limit gray threshold, automobile lower limit gray threshold and 9 jam level threshold values, the described weight table of comparisons with
Cloud thickness is index, saves the remotely-sensed data weighted value when determining section jam level and automobile
Terminal data weighted value, cloud thickness is the biggest, and remotely-sensed data weighted value is the least, car terminals data rights
Weight values is the biggest, and described automobile upper limit gray threshold and described automobile lower limit gray threshold are for by image
Automobile and background separation, described 9 jam level threshold values are according to the most equally distributed mode
Value is to determine 10 jam level intervals.
Described detecting system also includes: query facility, uses Cloud Server form to realize, with section name
It is referred to as index, prestores the gps data in each section, described query facility and described journey of blocking up
Degree request reception equipment connects, for the GPS number of name query target road section based on target road section
According to.
Described detecting system also includes: target road section information transmitting apparatus, is connected with described query facility,
For the gps data of target road section being sent to remote sensing satellite and being in the car terminals of target road section,
So that remote sensing satellite returns the section remote sensing images of target road section, it is simple to be in the automobile of target road section
Terminal returns its real-time speed.
Described detecting system also includes: cloud thickness request equipment, is connected with described query facility, uses
In the gps data of target road section being sent to local meteorological monitor supervision platform, in order to described local meteorological
Monitor supervision platform determines the cloud thickness of target road section according to the gps data of target road section.
Described detecting system also includes: cloud thickness receives equipment, receives described local meteorological monitoring flat
The cloud thickness of the target road section that platform returns.
Described satellite remote sensing images receives equipment 1 for receiving the road of the target road section that remote sensing satellite sends
Section remote sensing images, process single including contrast enhancement unit, self adaptation recursive filtering unit, gray processing
Unit, automobile extraction unit and automobile quantity statistics unit, described contrast enhancement unit receives described road
Section remote sensing images also perform contrast enhancement processing to described section remote sensing images, strengthen figure to obtain
Picture, described self adaptation recursive filtering unit is connected with described contrast enhancement unit, strengthens figure to described
As execution self adaptation recursive filtering is to obtain filtering image, described gray processing processing unit is adaptive with described
Recursive filtering unit is answered to connect described filtering image performs gray processing process, it is thus achieved that gray processing figure
Picture, described automobile extraction unit is connected respectively with described gray processing processing unit and described storage device,
By gray value in described gray level image at described automobile upper limit gray threshold and described automobile lower limit ash
Degree threshold value between pixel identification and form multiple automobile subgraph, described automobile quantity statistics unit with
Described automobile extraction unit connects, using the quantity of multiple automobile subgraphs as the automobile number of target road section
Amount output.
Described car terminals data receiver 2 sends for receiving the car terminals being in target road section
Real-time speed.
Described computerized equipment 3 receives equipment, institute with described storage device, described cloud thickness
State satellite remote sensing images reception equipment 1 and described car terminals data receiver 2 connects respectively, base
Cloud thickness in target road section finds the remotely-sensed data weight of correspondence in the described weight table of comparisons
Value and corresponding car terminals data rights weight values, by corresponding remotely-sensed data weighted value and target road section
Automobile quantity is multiplied, by the reciprocal multiplication of corresponding car terminals data rights weight values with real-time speed, and will
Two product addition are to obtain the congestion level numerical value of target road section, by the congestion level number of target road section
Value falls in described 10 jam level intervals the grade corresponding to some grade interval as target
The jam level in section.
Described detecting system also includes: congestion level sends equipment, receives with the request of described congestion level
Equipment and described computerized equipment 3 connect respectively, for mark based on described requesting terminal,
The jam level of the target road section exported by described computerized equipment 3 is sent to described request eventually
End.
Wherein, described contrast enhancement unit, described self adaptation recursive filtering unit, described gray processing
Processing unit, described automobile extraction unit and described automobile quantity statistics unit are respectively adopted different model
Fpga chip realize；Described computerized equipment 3 is receiving congestion level request reception
During the request of congestion level of the target road section that equipment sends, by described query facility, described target road
Segment information sends equipment, described cloud thickness request equipment, described cloud thickness receive equipment, described
Satellite remote sensing images receives equipment 1 and described car terminals data receiver 2 opens from battery saving mode
Dynamic, when described computerized equipment is after the jam level sending target road section, control described inquiry
Equipment, described target road section information transmitting apparatus, described cloud thickness request equipment, described cloud layer are thick
Degree reception equipment, described satellite remote sensing images receive equipment 1 and described car terminals data receiver
2 enter battery saving mode.
Alternatively, described congestion level request reception equipment is GPRS mobile communication interface, 3G shifting
One in dynamic communication interface or 4G mobile communication interface；It is GPRS that described congestion level sends equipment
One in mobile communication interface, 3G mobile communication interface or 4G mobile communication interface；Described calculating
Machine controls equipment 3 and also includes display unit, for showing the automobile quantity of described target road section, described
Real-time speed and the jam level of described target road section；And, described display unit is chosen as liquid crystal
Show device LCD.
It addition, FPGA (Field-Programmable Gate Array), i.e. field-programmable gate array
Row, he is the product of development further on the basis of the programming devices such as PAL, GAL, CPLD.
He is to occur as a kind of semi-custom circuit in special IC (ASIC) field, both solves
Determine the deficiency of custom circuit, overcome again the shortcoming that original programming device gate circuit number is limited.
The circuit design completed with hardware description language (Verilog or VHDL), can be through letter
Single comprehensive and layout, is quickly burned onto on FPGA and tests, and is modern IC designs checking
Technology main flow.These can be edited element and can be used to realize some basic logic gates (ratio
Such as AND, OR, XOR, NOT) or more more complicated combination function such as decoder or number
Learn 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 root
By editable connection, the logical block within FPGA is coupled together according to needing, just look like an electricity
Road breadboard has been placed in a chip.One dispatch from the factory after the logical block of finished product FPGA and connection
Can change according to designer, so FPGA can complete required logic function.
FPGA in general speed than ASIC (special IC) is slow, it is achieved same merit
Can be bigger than ASIC circuit area.But they also have a lot of advantages such as can quick finished product,
The mistake in correction program and less expensive cost can be modified to.Manufacturer is likely to provide cheap
But edit capability difference FPGA.Because these chips have poor can edit capability, so
The exploitation of these designs is to complete on common FPGA, then design is transferred to one and is similar to
On the chip of ASIC.Another method is with CPLD (Complex Programmable Logic
Device, CPLD).The exploitation of FPGA is relative to tradition PC, the opening of single-chip microcomputer
Send out and be very different.FPGA, based on concurrent operation, realizes with hardware description language；Compared to
The order operation of PC or single-chip microcomputer (either von Neumann structure or Harvard structure) has the biggest difference.
As far back as 1980 mid-nineties 90s, FPGA takes root in PLD equipment.CPLD and FPGA
Include the Programmadle logic unit of some relatively large amount.The density of CPLD gate arrives thousand of
Between several ten thousand logical blocks, and FPGA is typically several ten thousand to millions of.CPLD and FPGA
The main distinction be their system architecture.CPLD is a somewhat restrictive structure.This knot
Structure is arranged by the logical groups of one or more editable result sum and the locking of some relatively small amounts
Register composition.Such result be a lack of edit flexibility, but but have it is anticipated that delay
Time and the logical block advantage to connecting unit height ratio.And FPGA is to have a lot of connection lists
Unit, although so allowing him edit more flexibly, but structure is complicated many.
Use the section congestion level detecting system based on remote sensing communication of the present invention, for prior art
The technical problem that middle single factor test section congestion level detection mode detection results precision is the highest, satellite is distant
Sense image and on the spot automobile speed are combined by weighting scheme, block up each target road section
Degree carries out graduation and judges, thus provides more valuable navigation data for people.
Although it is understood that the present invention discloses as above with preferred embodiment, but above-mentioned enforcement
Example is not limited to the present invention.For any those of ordinary skill in the art, without departing from
Under technical solution of the present invention ambit, all may utilize the technology contents of the disclosure above to the technology of the present invention
Scheme makes many possible variations and modification, or is revised as the Equivalent embodiments of equivalent variations.Therefore,
Every content without departing from technical solution of the present invention, the technical spirit of the foundation present invention is to above example
Any simple modification, equivalent variations and the modification done, all still falls within technical solution of the present invention protection
In the range of.
Claims (1)
1. a section congestion level detecting system based on remote sensing communication, described detecting system includes
Satellite remote sensing images receives equipment, car terminals data receiver and computerized equipment, described
Satellite remote sensing images receives equipment and receives the section remote sensing images of the target road section that remote sensing satellite sends, institute
The automobile stating the car terminals transmission that the reception of car terminals data receiver is in target road section is real-time
Speed, described computerized equipment is true according to described section remote sensing images and described automobile real-time speed
Set the goal the jam level in section；
It is characterized in that, described detecting system also includes:
Congestion level request reception equipment, for receiving the request of the congestion level of target road section, described
The request of the congestion level of target road section includes the title of target road section and the mark of requesting terminal, institute
State the request of congestion level of the congestion level request reception equipment described target road section of parsing to obtain mesh
The title in mark section and the mark of requesting terminal；
Storage device, is used 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 cloud thickness for index, preserves
Remotely-sensed data weighted value when determining section jam level and car terminals data rights weight values, cloud layer
Thickness is the biggest, and remotely-sensed data weighted value is the least, and car terminals data rights weight values is the biggest, on described automobile
Limit gray threshold and described automobile lower limit gray threshold are for by the automobile in image and background separation, institute
State 9 jam level threshold values according to the most equally distributed mode value to determine that 10 are blocked up
Grade interval；
Query facility, uses Cloud Server form to realize, with the entitled index in section, prestores
The gps data in each section, described query facility is connected with described congestion level request reception equipment,
Gps data for name query target road section based on target road section；
Target road section information transmitting apparatus, is connected with described query facility, for by the GPS of target road section
Data are sent to remote sensing satellite and are in the car terminals of target road section, in order to remote sensing satellite returns mesh
The section remote sensing images in mark section, it is simple to the car terminals being in target road section returns its real-time speed
Degree；
Cloud thickness request equipment, is connected with described query facility, for by the GPS number of target road section
According to being sent to local meteorological monitor supervision platform, in order to described local meteorological monitor supervision platform is according to target road section
Gps data determine the cloud thickness of target road section；
Cloud thickness receives equipment, receives the cloud of the target road section that described local meteorological monitor supervision platform returns
Layer thickness；
Described satellite remote sensing images receives equipment and includes contrast enhancement unit, self adaptation recursive filtering list
Unit, gray processing processing unit, automobile extraction unit and automobile quantity statistics unit, described contrast increases
Strong unit receives described section remote sensing images and performs described section remote sensing images at contrast enhancing
Reason, strengthens image to obtain, and described self adaptation recursive filtering unit is with described contrast enhancement unit even
Connect, described enhancing image is performed self adaptation recursive filtering to obtain filtering image, at described gray processing
Reason unit is connected with described self adaptation recursive filtering unit to perform described filtering image at gray processing
Reason, it is thus achieved that gray level image, described automobile extraction unit and described gray processing processing unit and described deposit
Storage equipment connects respectively, by gray value in described gray level image at described automobile upper limit gray threshold and
Pixel identification between described automobile lower limit gray threshold also forms multiple automobile subgraph, described automobile
Quantity statistics unit is connected with described automobile extraction unit, using the quantity of multiple automobile subgraphs as mesh
The automobile quantity output in mark section；
Described computerized equipment and described storage device, described cloud thickness receive equipment, described
Satellite remote sensing images receives equipment and described car terminals data receiver connects, respectively based on target
The cloud thickness in section finds the remotely-sensed data weighted value and right of correspondence in the described weight table of comparisons
The car terminals data rights weight values answered, by the automobile number of corresponding remotely-sensed data weighted value with target road section
Amount is multiplied, and by the reciprocal multiplication of corresponding car terminals data rights weight values with real-time speed, takes advantage of two
The congestion level numerical value of target road section, to obtain the congestion level numerical value of target road section, is fallen by long-pending addition
In described 10 jam level intervals, the grade corresponding to some grade interval is as target road section
Jam level；
Congestion level sends equipment, controls with described congestion level request reception equipment and described computer
Equipment connects respectively, for mark based on described requesting terminal, by defeated for described computerized equipment
The jam level of the target road section gone out is sent to described requesting terminal；
Wherein, described contrast enhancement unit, described self adaptation recursive filtering unit, described gray processing
Processing unit, described automobile extraction unit and described automobile quantity statistics unit are respectively adopted different model
Fpga chip realize；
Wherein, described computerized equipment is receiving the mesh that congestion level request reception equipment sends
During the request of congestion level in mark section, described query facility, described target road section information are sent and sets
Cloud thickness standby, described request equipment, described cloud thickness receive equipment, described satellite remote sensing images
Reception equipment and described car terminals data receiver start, when described computer from battery saving mode
Control equipment, after the jam level sending target road section, controls described query facility, described target road
Segment information sends equipment, described cloud thickness request equipment, described cloud thickness receive equipment, described
Satellite remote sensing images receives equipment and described car terminals data receiver enters battery saving mode,
Described congestion level request reception equipment is GPRS mobile communication interface, 3G mobile communication interface
Or the one in 4G mobile communication interface,
Described congestion level send equipment be GPRS mobile communication interface, 3G mobile communication interface or
One in 4G mobile communication interface.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510578638.8A CN105157710B (en) | 2015-06-06 | 2015-06-06 | Section congestion level detecting system based on remote sensing communication |
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510307548.5A CN104835329B (en) | 2015-06-06 | 2015-06-06 | Based on the section congestion level detection system of remote sensing communication |
| CN201510578638.8A CN105157710B (en) | 2015-06-06 | 2015-06-06 | Section congestion level detecting system based on remote sensing communication |
Related Parent Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510307548.5A Division CN104835329B (en) | 2015-06-06 | 2015-06-06 | Based on the section congestion level detection system of remote sensing communication |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105157710A CN105157710A (en) | 2015-12-16 |
| CN105157710B true CN105157710B (en) | 2016-09-07 |
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510579586.6A Expired - Fee Related CN105261213B (en) | 2015-06-06 | 2015-06-06 | Section congestion level detection system based on remote sensing communication |
| CN201510307548.5A Active CN104835329B (en) | 2015-06-06 | 2015-06-06 | Based on the section congestion level detection system of remote sensing communication |
| CN201510578638.8A Expired - Fee Related CN105157710B (en) | 2015-06-06 | 2015-06-06 | Section congestion level detecting system based on remote sensing communication |
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| CN104851296B (en) * | 2015-06-06 | 2016-05-04 | 浙江传媒学院 | A kind of section based on remote sensing communication degree detecting system of blocking up |
| CN105929394A (en) * | 2016-05-02 | 2016-09-07 | 漳浦县圆周率工业设计有限公司 | Case criminal investigation method and criminal investigation system based on Beidou satellite system |
| CN106373397B (en) * | 2016-09-28 | 2018-10-02 | 哈尔滨工业大学 | Remote sensing images road situation analysis method based on fuzzy neural network |
| CN111047856B (en) * | 2019-04-09 | 2020-11-10 | 浙江鸣春纺织股份有限公司 | Multi-channel congestion index acquisition platform |
| CN112307922A (en) * | 2020-10-23 | 2021-02-02 | 泰州芯源半导体科技有限公司 | Remote sensing data transceiving-based crisis analysis platform |
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| US7692552B2 (en) * | 2007-01-23 | 2010-04-06 | International Business Machines Corporation | Method and system for improving driver safety and situational awareness |
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2015
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| 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 |
| 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 |
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| CN104021670A (en) * | 2014-03-27 | 2014-09-03 | 湖南工业大学 | Method for extracting vehicle queue state information in urban road network based on high-resolution remote-sensing image |
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| CN105261213B (en) | 2016-06-22 |
| CN104835329B (en) | 2016-03-16 |
| CN105261213A (en) | 2016-01-20 |
| CN105157710A (en) | 2015-12-16 |
| CN104835329A (en) | 2015-08-12 |
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