CN107945509A - A kind of road conditions image navigation method and system - Google Patents
A kind of road conditions image navigation method and system Download PDFInfo
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- CN107945509A CN107945509A CN201711125315.9A CN201711125315A CN107945509A CN 107945509 A CN107945509 A CN 107945509A CN 201711125315 A CN201711125315 A CN 201711125315A CN 107945509 A CN107945509 A CN 107945509A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0112—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from the vehicle, e.g. floating car data [FCD]
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/0116—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from roadside infrastructure, e.g. beacons
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0108—Measuring and analyzing of parameters relative to traffic conditions based on the source of data
- G08G1/012—Measuring and analyzing of parameters relative to traffic conditions based on the source of data from other sources than vehicle or roadside beacons, e.g. mobile networks
-
- 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
-
- 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
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0141—Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/09—Arrangements for giving variable traffic instructions
- G08G1/0962—Arrangements for giving variable traffic instructions having an indicator mounted inside the vehicle, e.g. giving voice messages
- G08G1/0967—Systems involving transmission of highway information, e.g. weather, speed limits
- G08G1/096766—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission
- G08G1/096775—Systems involving transmission of highway information, e.g. weather, speed limits where the system is characterised by the origin of the information transmission where the origin of the information is a central station
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- General Physics & Mathematics (AREA)
- Chemical & Material Sciences (AREA)
- Analytical Chemistry (AREA)
- Life Sciences & Earth Sciences (AREA)
- Atmospheric Sciences (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a kind of road conditions image navigation method and system to set traffic information processing platform, support is acquired, handles and distributes to road conditions information, support on the basis of digital map navigation, according to real-time road condition information is obtained, select optimal driving route;The road conditions information gathering includes the collection of roadside information's collecting device, board information terminal collection and smart mobile phone collection three classes, wherein roadside information's collecting device is divided into intelligent roadside collecting device and non intelligent roadside collecting device, image navigation method and system provided by the invention, driver is allowed to know the traffic information of traveling road in advance, easy to select optimal planning driving path, congestion is reduced.
Description
Technical field
The present invention relates to airmanship, more particularly to by road conditions image information come a kind of Road for navigating
Condition image navigation method and system.
Background technology
At present, with the development of Domestic Automotive Industry and the raising of living standards of the people, automobile is increasingly entering general
Long and deep friendship between two families front yard, with the increase of car ownership, road get on the car it is more and more, congestion in road become urban transportation problem.
Municipal sector adopts to solve the problems, such as traffic congestion using in crossing installation camera to carry out traffic information
Collection, user can obtain the video information at different crossings by internet.On the one hand, since the real-time road at crossing can only be gathered
Information, it is impossible to know other positions traffic information on road, road conditions and situation of remote can not be shown to driver in time,
User is inconvenient to use;On the other hand, due to only being set at crossing, collection point is limited, coverage deficiency.
At the same time, airmanship has also obtained quick development.Current navigation is divided into two classes, one is in vehicle-mounted letter
Navigation software is installed in breath terminal, there are the problems such as of high cost, map rejuvenation is slow;The second is installation navigation is soft on smart mobile phone
Part, has the advantages that use cost is low, map rejuvenation is fast, there is also searching the problems such as star is slow, both navigation mode common problems
It is:
The information that navigation system provides in use is not inconsistent with actual conditions, and erroneous judgement is brought to user's traffic route;
User cannot understand the road conditions of driving route in real time, can not make anticipation in advance, can just see after only arriving nearby,
Due to missing opportunity, often it is forced to sink into congestion;The prediction of traffic route road conditions can not be provided.
Existing video and image-guidance patent of invention are investigated, concrete condition is as follows:
Patent " on-vehicle navigation apparatus and method (CN102278993 A) " solves the problems, such as:Run into no gps satellite letter
Number when, can more provide it is crucial judge with the path direction of real-time and height change, and have selected erroneous path in driver
When give a warning in time, avoid driver critical path bifurcation drive to mistake path.
Patent " a kind of onboard navigation system and method (CN103438894A) " solves the problems, such as:By to short distance, remote
Traffic jam and weather condition when journey is gone on a journey carry out distinguishing consideration, determine optimal path.
Patent " automatic navigator, the onboard navigation system based on smart mobile phone and its authentication method (CN
What is 103471599A) " solved is when location coordinate information directly being fed back to backstage by smart mobile phone and wireless communication technique,
The problem of driver's phonetic entry.
Patent " acquisition methods of air navigation aid and its system, car-mounted terminal and vehicle mounted guidance information (CN104061940A) "
What is solved is the problem of place that cannot be gone to needs in the case of no network be navigated.
Patent " a kind of combination onboard navigation system (CN 103791916A) based on MEMS inertial navigations " solves vehicle mounted guidance
System in the case of satellite-signal losing lock can still export accurate navigation information the problem of.
Patent " a kind of on-vehicle navigation apparatus (CN203615940U) " is by key switch, in car key insertion car key hole
Interior, on-vehicle navigation apparatus immediately turns on, and without operation bidirectional, saves the time.Instruction is gathered using speech pattern, less to drive
The manual operation for the person of sailing, ensure that the security of driver.
Patent " a kind of air navigation aid and system (CN104006821A) " is proposed and can filtered out from a plurality of navigation way
By the most light vehicle navigation route of air pollution degree, and then alleviate the shadow for the pollution that people drive suffered by during going on a journey
Ring, realize healthy trip.
Patent " onboard navigation system, the air navigation aid of real-time road and querying method (CN 104021695A) " is obtaining
The real-time road map on current vehicle periphery is taken, user can get around the section row of opposite congestion according to this real-time road map
Sail, so as to avoid wasting plenty of time wait the coast is clear.
Patent " a kind of real-time road navigation system (CN203825824U) based on cloud computing " passes through information acquisition terminal
Freezing sensor, survey mist sensor, video monitoring and meteorological satellite, obtain road real-time road condition information and be uploaded to high in the clouds vehicle
Road information platform, can give section real time information in front of driver in advance, it is enhanced your vigilance, judge in advance, subtract
Few traffic accident;And optimal planning driving path can be calculated according to road real-time condition, reduce congestion.
Its Patent " onboard navigation system, the air navigation aid of real-time road and querying method (CN 104021695A) " and
Patent " a kind of real-time road navigation system (CN203825824U) based on cloud computing " is solved the problems, such as with patent of the present invention
Some are similar, but in communication modes of system architecture, information source, the handling result of information and internal system etc. not
Together, Tables 1 and 2 is shown in concrete analysis.
1 Patent Reference's analytical table one of table
2 Patent Reference's analytical table two of table
The content of the invention
It is an object of the invention to for problem present in existing airmanship, there is provided a kind of method of image-guidance and
System, allows driver to know the image information in travel line in advance, easy to select optimal planning driving path, reduces congestion.
To realize purpose of the present invention, technical scheme provides a kind of road conditions image navigation method, if
Traffic information processing platform is put, supports that road conditions information is acquired, handled and distributed, supports on the basis of digital map navigation
On, according to real-time road condition information is obtained, select optimal driving route;The road conditions information gathering is gathered including roadside information
Equipment collection, board information terminal collection and smart mobile phone collection three classes, wherein roadside information's collecting device are divided into intelligent roadside
Collecting device and non intelligent roadside collecting device;When the traffic information refers to the ID of collecting device, sampling location coordinate, sampling
Between and image, video or vehicle fleet size information composition structure.
Moreover, roadside information's collecting device collection realizes that process is as follows,
1) after roadside information's collecting device starts, traffic information processing platform is registered to, obtains roadside information's collecting device
ID number and position coordinates, and roadside information collecting device is calibrated with the time of traffic information processing platform;
2) data acquisition relevant parameter is set;
3) time registration;
4) ID number, video are sent at traffic information by the video information that non intelligent roadside information's collecting device obtains in real time
Platform.
5) intelligent roadside information's collecting device possesses intelligent vehicle detection function, in real time by ID number, sampling time, vehicle number
Amount information is sent to traffic information processing platform, depends on pre-setting using time span, information of vehicles includes various vehicles
Type and its quantity.
Moreover, the board information terminal collection realization is as follows,
1) after board information terminal start, start wireless communication module, be registered to traffic information processing platform, obtain vehicle-mounted
The ID number of information terminal, and board information terminal is calibrated with the time of traffic information processing platform;
2) data acquisition relevant parameter is set;
3) time registration;
4) board information terminal presses the instruction of traffic information processing platform, starts image capture device, obtains vehicle front
Camera or vehicle rear camera, after compressed coding, in real time by the ID number of vehicle, the position coordinates of vehicle, the sampling time,
Video segment or picture are sent to traffic information processing platform;
5) position coordinates in vehicle travel process is obtained in real time;
6) movement velocity of vehicle is calculated;
7) when the movement velocity of vehicle starts Vehicle Speed, startup board information terminal less than pre-set sampling
On image capture device, vehicle front camera or vehicle rear camera are obtained, after compressed coding, in real time by vehicle
ID number, position coordinates, sampling time, video segment or picture are sent to traffic information processing platform;
8) when the movement velocity of vehicle gathers phase less than pre-set sampling startup Vehicle Speed, and with last time
Than if the movement of vehicle is more than or equal to Minimum sliding distance, in real time by the ID number of vehicle, position coordinates, sampling time, video
Fragment or picture are sent to traffic information processing platform;Otherwise, when the ID number of a transmission vehicle, sampling location coordinate and sampling
Between;
9) Vehicle Speed is started when the movement velocity of vehicle is optionally greater than pre-set sampling, by pre-set
Sampling time interval, the position coordinates of real-time collection vehicle, only sends the ID number of vehicle, sampling location coordinate and sampling time
Give traffic information processing platform.
Moreover, the smart mobile phone collection realization is as follows,
1) start smart mobile phone image capture module, be registered to traffic information processing platform;The ID number of smart mobile phone is obtained,
And smart mobile phone is calibrated with the time of traffic information processing platform;
2) data acquisition relevant parameter is set;
3) time registration;
4) position coordinates in smart mobile phone motion process is obtained in real time;
5) movement velocity of computational intelligence mobile phone;
6) when the movement velocity of smart mobile phone starts translational speed less than pre-set sampling, prompting user starts intelligence
The image capture device of mobile phone, by the direction of the scope of camera covering vehicle traveling, after compressed coding, in real time by intelligent hand
ID number, position coordinates, sampling time, video segment or the picture of machine are sent to traffic information processing platform, are to send picture also
It is that video segment depends on pre-setting, the time span of video segment, which also depends on, to be pre-set;
7) when the movement velocity of smart mobile phone gathers phase less than pre-set sampling startup translational speed, and with last time
Than if the movement of smart mobile phone is more than or equal to Minimum sliding distance, in real time by the ID number of smart mobile phone, position coordinates, sampling
Time, video segment or picture are sent to traffic information processing platform;Otherwise, ID number, the sampling location of smart mobile phone are only sent
Coordinate and sampling time;
8) translational speed is started when the movement velocity of smart mobile phone is optionally greater than pre-set sampling, by pre-set
Sampling time interval, gathers the position coordinates of smart mobile phone, only by the ID number of smart mobile phone, sampling location coordinate and sampling in real time
Time is sent to traffic information processing platform.
Moreover, the processing of road conditions information is included to the information from roadside information's collecting device, from on-vehicle information
The information of terminal collection and the information processing gathered from smart mobile phone form corresponding road conditions letter according to the content received respectively
Cease list,
1) coordinate information according to road path, from having been formed in all kinds of traffic information lists, extracts on every road
The collection point of information, based on the traffic information of these collection points, in the application of the traffic information of three classes collecting device, road
The weight highest for the traffic information that side collecting device obtains, traffic information processing platform calculate, are formed the real-time road of every road
Condition information, and be stored in the database of traffic information processing platform;
2) coordinate information according to road path, from established all kinds of traffic information lists, analyzes adjacent road road
Different degrees of blocking, the influence to periphery adjacent road, meter occur for the mutual influence relation of condition, particularly a road
The movement velocity of vehicle in adjacent road, congestion distance, Congestion Level SPCC traffic flow character parameter are calculated, and is stored in traffic information
In the database of processing platform;
3) traffic information processing platform calculates every road road traffic flow characteristic parameter daily at different moments and every
The road traffic flow characteristic parameter of road daily, weekly, monthly, annual, and it is stored in the database of traffic information processing platform
In;
4) road traffic flow characteristic parameter of the traffic information processing platform according to every road daily at different moments, there is provided road
The prediction of road road conditions;
5) all kinds of traffic informations of acquisition are sent to other maps and navigation system by traffic information processing platform, map and
Navigation system is corrected using all kinds of traffic informations and is optimized map and navigation information.
Moreover, the distribution of road conditions information includes inquiry and navigation,
The distribution of traffic information during inquiry, realization is as follows,
1) when user is in the path of input inquiry on the map of board information terminal, relevant parameter is sent to road conditions letter
Processing platform is ceased, the real-time traffic information of this paths is sent to board information terminal by traffic information processing platform, is used
Family browses the real-time road condition information of this paths;
2) when user is in the path of input inquiry on the map of smart mobile phone, relevant parameter is sent at traffic information
The real-time traffic information of this paths is sent to on-vehicle information by platform, traffic information processing platform, and user browses this
The real-time road condition information of paths;
3) other existing maps and navigation system is supported to obtain the data of traffic information processing platform, to provide inquiry clothes
Business;
The distribution of traffic information during navigation, realization is as follows,
1) in board information terminal digital map navigation, user inputs beginning and end, obtains planning driving path, roadway is passed through
After being sent into traffic information processing platform, the real-time traffic information of this paths is automatically transmitted to by traffic information processing platform
Board information terminal, user browse the real-time road condition information of this paths;As discovery can not provide the real-time road of this paths
During information, traffic information processing platform will be according to statistical information, and the predicting road conditions made issue board information terminal, and remind note
Anticipate user;
2) moved with vehicle such as smart mobile phone, during using digital map navigation, after inputting beginning and end, obtain roadway
Footpath, smart mobile phone is by roadway after being sent into traffic information processing platform, and traffic information processing platform is by the real-time of this paths
Traffic information is sent to smart mobile phone, and user browses the real-time road condition information of this paths;As found that this can not be provided
During the real-time road condition information of path, traffic information processing platform will be according to statistical information, and the predicting road conditions made issue smart mobile phone,
And point out user;If in the process of moving, user has found traffic jam, reselects planning driving path.
3) other existing maps and navigation system is supported to obtain the data of traffic information processing platform, to provide navigation clothes
Business.
The present invention also provides a kind of road conditions image-guidance system, including at road conditions information gathering equipment, traffic information
Platform and traffic information receiving device, the road conditions information gathering equipment, it is whole to be divided into roadside information's collecting device, on-vehicle information
End and smart mobile phone three classes, wherein roadside information's collecting device are divided into intelligent roadside collecting device and the collection of non intelligent roadside is set
Standby, non intelligent roadside collecting device and board information terminal, smart mobile phone realize collection image, position coordinates and time letter
Breath, intelligent roadside collecting device directly acquire vehicle fleet size information.
Moreover, traffic information processing platform, unification is carried out for road conditions information gathering equipment and traffic information receiving device
ID is numbered and management;When unified school is carried out to road conditions information collecting device and traffic information receiving device;According to the information of input,
Real-time road condition information is provided;The distribution and prediction service of traffic information are provided;Generate the road of every road daily at different moments
Daily, weekly, monthly, the annual road traffic flow characteristic parameter of traffic flow character parameter and every road is simultaneously preserved.
Moreover, traffic information receiving device, including board information terminal, smart mobile phone and other map navigation systems,
Realize from traffic information processing platform and obtain traffic information.
Moreover, roadside information's collecting device is connected by wired or wireless network with traffic information processing platform, vehicle-mounted letter
Breath terminal and smart mobile phone are connected by wireless network with traffic information processing platform, traffic information processing platform by wired or
Wireless network is connected with other map navigation systems.
From the above with from the point of view of system, gathered using roadside information's collecting device, board information terminal and smart mobile phone
Image, coordinate position, time, after the processing of traffic information processing platform, form the real-time road condition information per paths, are easy to
User's direct viewing, avoids the prior art, the information provided in use existing for product and actual conditions from not being inconsistent, to use
The problem of family traffic route brings erroneous judgement, allows user to understand the traffic information of planning driving path in real time, makes anticipation in advance.Also may be used
To provide data for other maps and navigation system, more accurate, more intuitively navigation and inquiry service is provided to the user.
Brief description of the drawings
Fig. 1 is the system overview flow chart of the embodiment of the present invention;
Fig. 2 is roadside information's collecting device collection traffic information flow chart of the embodiment of the present invention;
Fig. 3 is the board information terminal collection traffic information flow chart of the embodiment of the present invention;
Fig. 4 is the smart mobile phone collection traffic information flow chart of the embodiment of the present invention;
Fig. 5 is the traffic information processing platform process chart of the embodiment of the present invention.
Fig. 6 is the system schematic figure of the embodiment of the present invention.
Embodiment
It is an object of the invention to for problem present in existing airmanship, there is provided a kind of method of image-guidance and
System, allows driver to know the image information in route of travel in advance, easy to select optimal planning driving path, reduces congestion.
With reference to the accompanying drawings and embodiments, the present invention is described in detail.
The present invention proposes that road conditions information is acquired, handled and distributed, and supports on the basis of digital map navigation, root
According to real-time road condition information is obtained, optimal driving route is selected;The road conditions information gathering includes roadside information's collecting device
Collection, board information terminal collection and smart mobile phone collection three classes, wherein roadside information's collecting device are divided into intelligent roadside collection
Equipment and non intelligent roadside collecting device;The traffic information refer to the ID of collecting device, sampling location coordinate, the sampling time and
The structure of image, video or vehicle fleet size information composition.
Referring to Fig. 6, the embodiment of the present invention provides a kind of image-guidance system, including road conditions information gathering equipment, road for this
The condition information processing platform and traffic information receiving device.
Road conditions information gathering equipment:The equipment of acquisition time, position and image information, including roadside information's collecting device,
Support the board information terminal and smart mobile phone of Image Acquisition;
Traffic information processing platform:Complete road conditions information gathering equipment and traffic information receiving device ID Unified number and
Management;According to the information of input, there is provided real-time road condition information;The distribution and prediction service of traffic information are provided;Generate every road
The daily at different moments road traffic flow characteristic parameter in road and every road daily, weekly, monthly, annual road traffic flow it is special
Sign parameter is simultaneously preserved.Traffic information receiving device:Traffic information, including vehicle-mounted letter are obtained from traffic information cloud processing platform
Cease terminal, smart mobile phone and other digital map navigation equipment;
Roadside information's collecting device is connected by wired or wireless network with traffic information processing platform, board information terminal
It is connected with smart mobile phone by wireless network with traffic information processing platform, traffic information processing platform passes through wired or wireless net
Network is connected with other map navigation systems.
Traffic information processing platform can use one or more servers to realize.Roadside information's collecting device can utilize city
The existing equipment of traffic system, including non intelligent roadside information's collecting device (all kinds of video monitoring equipments) and intelligent roadside information
Collecting device (monitoring device with intelligent vehicle identification), these equipment can provide software development kit SDK, for opening below
Hair uses, and those skilled in the art can set according to the method for the present invention and realize.Board information terminal and smart mobile phone utilize user
Equipment.
The collection of road conditions information in systems in practice, can be single roadside information's collecting device, on-vehicle information
Terminal and smart mobile phone, also regard any combination of three of the above collecting device as.
A kind of method for image-guidance that embodiment provides, as shown in Figure 1, including:
Step 1, the collection of road conditions information;
Step 2, the processing of road conditions information;
Step 3, the distribution of road conditions information;
Traffic information refers to ID, position coordinates, time and the image of collecting device or the structure of vehicle fleet size information composition
Body;
On the basis of digital map navigation, according to real-time road condition information is obtained, optimal driving route is selected.
The information gathering of road conditions in step 1, is divided into the collection of roadside information's collecting device, board information terminal collection
Three classes are gathered with smart mobile phone, wherein roadside information's collecting device is divided into intelligent roadside collecting device and the collection of non intelligent roadside is set
It is standby.Mainly obtain position coordinates, the ID number of collection point of real-time sampled point, sampling time, video or pictorial information, below
Three types are divided to illustrate:
The collection of roadside information's collecting device, its process are as follows:
1) after roadside information's collecting device starts, traffic information processing platform is registered to, obtains roadside information's collecting device
ID number and position coordinates, and roadside information collecting device is calibrated with the time of traffic information processing platform;
2) data acquisition relevant parameter is set;
3) time registration;
4) ID number, video are sent at traffic information by the video information that non intelligent roadside information's collecting device obtains in real time
Platform.
5) intelligent roadside information's collecting device possesses intelligent vehicle detection function, in real time by ID number, sampling time, vehicle number
Amount information is sent to traffic information processing platform, depends on pre-setting using time span, information of vehicles includes various vehicles
Type and its quantity.
As shown in Fig. 2, the step 11 of embodiment includes roadside information's collecting device collection information process, for the ease of system
The convenience of management, involved in step 11 to the setting of relevant parameter can be set by traffic information processing platform, have
Body gatherer process is as follows:
Step 111, after roadside information's collecting device starts, traffic information processing platform is registered to, roadside information is obtained and adopts
Collect the ID number and position coordinates of equipment;All equipment ID numbers are unique in systems, in the present embodiment to not going the same way
Condition information collecting device and traffic information receiving device are classified, and location coordinate information as referred to herein refers to longitude and latitude;
Step 112, roadside information collecting device is calibrated with the time of traffic information processing platform;In guarantee system
Time it is accurate, reduce the deviation of system time;
Step 113, the heartbeat frequency of registration of roadside information's collecting device is set;It is general that 60s is set, handled by traffic information
Platform is managed collectively;
Step 114, the parameter of data acquisition modes (video or information of vehicles) is set, is sent after can so determining collection
The data type of road conditions processing platform, video is sent if non intelligent roadside collecting device, is sent out if the collecting device of intelligent roadside
Send vehicle data information;
Step 115, sampling time interval parameter is set;It is managed collectively by traffic information processing platform;
Step 116, registered by the heartbeat frequency of registration of setting to traffic information processing platform;
Step 117, when the sampling time then, if non intelligent roadside collecting device, is sent in real time by ID number and video
Traffic information processing platform;
Step 118, when the sampling time then, if intelligent roadside collecting device, in real time by ID number, sampling time, vehicle
Quantity information is sent to traffic information processing platform, depends on pre-setting using time span, information of vehicles includes various cars
Type and its quantity.
The collection of board information terminal, its process are as follows:
1) after board information terminal start, start wireless communication module, be registered to traffic information processing platform, obtain vehicle-mounted
The ID number of information terminal, and board information terminal is calibrated with the time of traffic information processing platform;
2) data acquisition relevant parameter is set;
3) time registration;
4) board information terminal can start image capture device by the instruction of traffic information processing platform, obtain vehicle
Front camera (shooting direction is consistent with headstock) or vehicle rear camera (shooting direction and headstock are unanimously opposite), it is compressed
After coding, the ID number of vehicle, the position coordinates of vehicle, sampling time, video segment or picture are sent to traffic information in real time
Processing platform;
5) position coordinates in vehicle travel process is obtained in real time;
6) movement velocity of vehicle is calculated;
7) when the movement velocity of vehicle starts Vehicle Speed, startup board information terminal less than pre-set sampling
On image capture device, obtain vehicle front camera (shooting direction is consistent with headstock) or vehicle rear camera (image
Direction is unanimously opposite with headstock), after compressed coding, in real time by the ID number of vehicle, position coordinates, sampling time, video segment
It is to send picture or video segment depending on pre-setting or picture is sent to traffic information processing platform, video segment
Time span, which also depends on, to be pre-set;
8) when the movement velocity of vehicle gathers phase less than pre-set sampling startup Vehicle Speed, and with last time
Than if the movement of vehicle is more than or equal to Minimum sliding distance, in real time by the ID number of vehicle, position coordinates, sampling time, video
Fragment or picture are sent to traffic information processing platform;Otherwise, when the ID number of a transmission vehicle, sampling location coordinate and sampling
Between;
9) Vehicle Speed is started when the movement velocity of vehicle is optionally greater than pre-set sampling, by pre-set
Sampling time interval, the position coordinates of real-time collection vehicle, only sends the ID number of vehicle, sampling location coordinate and sampling time
Give traffic information processing platform.
As shown in figure 3, the step 12 of embodiment includes board information terminal collection information process, the transmission of information is divided into two
Kind, one is traffic information processing platform directly requires board information terminal to directly transmit;The second is meet relevant parameter condition,
Board information terminal uploads information.Due to being by wireless network chain between board information terminal and traffic information processing platform
Connect, from the point of view of flow is saved, video acquisition generally also gathers video segment, and the size of fragment is generally 10s or so,
If vehicle movement be less than a certain distance, also without image information sampling and transmission for the ease of system administration side
Just, involved in step 12 to the setting of relevant parameter can be set by traffic information processing platform, step 12 is specific
Process it is as follows:
Step 121, after board information terminal start, wireless communication module is started;Traffic information processing platform is registered to, is obtained
Take the ID number of board information terminal;
Step 122, board information terminal is calibrated with the time of traffic information processing platform;
Step 123, heartbeat frequency of registration is set;
Step 124, the parameter of data acquisition modes (video or picture) is set, to determine to send video information or picture
Information;
Step 125, sampling time interval parameter is set;
Step 126, the duration parameters of video segment are set;
Step 127, sampling is set to start Vehicle Speed parameter;
Step 128, set and restart sampled distance parameter;
Step 129, Minimum sliding distance parameter is set;
Step 12a, is registered by the heartbeat frequency of registration of setting to traffic information processing platform;
Step 12b, obtains the position coordinates in vehicle travel process in real time;
Step 12c, when it is picture to set acquisition mode, board information terminal can be by the finger of traffic information processing platform
Order, starts image capture device, obtains vehicle front camera (shooting direction is consistent with headstock) or vehicle rear camera (is taken the photograph
Image space is to unanimously opposite with headstock), after compressed encoding, in real time by the ID number of vehicle, sampling location coordinate, sampling time, picture
It is sent to traffic information processing platform.
Step 12d, when it is video to set acquisition mode, board information terminal can be by the finger of traffic information processing platform
Order, starts image capture device, obtains vehicle front camera (shooting direction is consistent with headstock) or vehicle rear camera (is taken the photograph
Image space is to unanimously opposite with headstock), after compressed encoding, in real time by the ID number of vehicle, sampling location coordinate, sampling time, video
Fragment is sent to traffic information processing platform.
Step 12e, calculates the movement velocity of vehicle, and when specific implementation can use the prior art;
Step 12f, starts Vehicle Speed when setting movement velocity of the acquisition mode for picture, vehicle to be less than sampling,
And compared with last time samples, the displacement distance of vehicle is more than or equal to Minimum sliding distance, starts the image on board information terminal
Collecting device, obtains vehicle front camera (shooting direction is consistent with headstock) or vehicle rear camera (shooting direction and car
Head is opposite), after compressed encoding, the ID number of vehicle, sampling location coordinate, sampling time, picture are sent to traffic information in real time
Processing platform;
Step 12g, starts Vehicle Speed when setting movement velocity of the acquisition mode for picture, vehicle to be less than sampling,
And compared with last time samples, the displacement distance of vehicle is less than Minimum sliding distance, the ID number of a transmission vehicle, position coordinates and adopt
The sample time gives traffic information processing platform;
Step 12h, starts Vehicle Speed when setting movement velocity of the acquisition mode for video, vehicle to be less than sampling,
And compared with last time samples, the displacement distance of vehicle is more than or equal to Minimum sliding distance, starts the image on board information terminal
Collecting device, obtains vehicle front camera (shooting direction is consistent with headstock) or vehicle rear camera (shooting direction and car
It is first cause it is opposite), after compressed encoding, the ID number of vehicle, sampling location coordinate, sampling time, video segment are sent in real time
Traffic information processing platform;Step 12i, starts vehicle when setting movement velocity of the acquisition mode for video, vehicle less than sampling
Travel speed, and compared with last time samples, the displacement distance of vehicle is less than Minimum sliding distance, the ID number of a transmission vehicle, position
Put coordinate and sampling time and give traffic information processing platform;
Step 12j, starts Vehicle Speed, by advance when the movement velocity of vehicle is optionally greater than pre-set sampling
The sampling time interval of setting, the position coordinates of real-time collection vehicle, only by the ID number of vehicle, sampling location coordinate and sampling when
Between be sent to traffic information processing platform.
When it is implemented, it can first judge whether that the movement velocity of vehicle is less than pre-set sampling and starts vehicle traveling
Speed, if otherwise performing step 12j when sampling time interval reaches,
If then judging whether that it is picture to set acquisition mode,
It is whether the displacement distance for then judging vehicle is less than Minimum sliding distance, is then to perform step 12g, otherwise performs
12f;
Otherwise judge whether the displacement distance of vehicle is less than Minimum sliding distance, be then to perform step 12h, otherwise perform
12i。
The collection of smart mobile phone, its process are as follows:
1) start smart mobile phone image capture module, be registered to traffic information processing platform;The ID number of smart mobile phone is obtained,
And smart mobile phone is calibrated with the time of traffic information processing platform;
2) data acquisition relevant parameter is set;
3) time registration;
4) position coordinates in smart mobile phone motion process is obtained in real time;
5) movement velocity of computational intelligence mobile phone;
6) when the movement velocity of smart mobile phone starts translational speed less than pre-set sampling, prompting user starts intelligence
The image capture device of mobile phone, by the direction of the scope of camera covering vehicle traveling, after compressed coding, in real time by intelligent hand
ID number, position coordinates, sampling time, video segment or the picture of machine are sent to traffic information processing platform, are to send picture also
It is that video segment depends on pre-setting, the time span of video segment, which also depends on, to be pre-set;
7) when the movement velocity of smart mobile phone gathers phase less than pre-set sampling startup translational speed, and with last time
Than if the movement of smart mobile phone is more than or equal to Minimum sliding distance, in real time by the ID number of smart mobile phone, position coordinates, sampling
Time, video segment or picture are sent to traffic information processing platform;Otherwise, ID number, the sampling location of smart mobile phone are only sent
Coordinate and sampling time;
8) translational speed is started when the movement velocity of smart mobile phone is optionally greater than pre-set sampling, by pre-set
Sampling time interval, gathers the position coordinates of smart mobile phone, only by the ID number of smart mobile phone, sampling location coordinate and sampling in real time
Time is sent to traffic information processing platform.Smart mobile phone is generally integrated with camera, when it is implemented, those skilled in the art
Video acquisition module can be set according to the above aspect.
As shown in figure 4, the smart mobile phone video acquisition information process that step 13 includes in embodiment, the information of smart mobile phone
Collection is different with the collection of roadside information's collecting device and board information terminal, and roadside information's collecting device and on-vehicle information are whole
The direction of the camera of the video acquisition at end is fixed, and the direction of the video acquisition camera of smart mobile phone and angle are not
Definite, relatively good effect in order to obtain, can prompt the scope of user's camera will cover traffic, in order to protect user
Privacy, not by the way of being directly acquired from traffic information processing platform, only provide user's active upload mode.Step 13
Gatherer process it is as follows:
Step 131, start smart mobile phone video acquisition module, be registered to traffic information processing platform;Obtain smart mobile phone
ID number;
Step 132, smart mobile phone is calibrated with the time of traffic information processing platform;
Step 133, heartbeat frequency of registration is set;
Step 134, the parameter of data acquisition modes (video or picture) is set;
Step 135, the duration parameters of video segment are set;
Step 136, sampling is set to start smart mobile phone movement velocity parameter, i.e. sampling starts travel speed;
Step 137, set and restart sampled distance and sampling time interval parameter;
Step 138, Minimum sliding distance parameter is set;
Step 139, the location coordinate information of smart mobile phone is obtained in real time;
Step 13a, the movement velocity of computational intelligence mobile phone;
Step 13b, starts travel speed when setting movement velocity of the acquisition mode for picture, smart mobile phone to be less than sampling,
And compared with last time samples, the displacement distance of smart mobile phone is more than or equal to Minimum sliding distance, prompts user by the side of camera
To the direction of covering vehicle traveling, start the image capture device on smart mobile phone, obtain camera (shooting direction and terrain vehicle
Travel direction is consistent) signal, after compressed encoding, in real time by the ID number of smart mobile phone, sampling location coordinate, sampling time, figure
Piece is sent to traffic information processing platform;
Step 13c, starts travel speed when setting movement velocity of the acquisition mode for picture, smart mobile phone to be less than sampling,
And compared with last time samples, the displacement distance of smart mobile phone is less than Minimum sliding distance, ID number, the sampling of smart mobile phone are only sent
Position coordinates and sampling time give traffic information processing platform;
Step 13d, starts travel speed when setting movement velocity of the acquisition mode for video, smart mobile phone to be less than sampling,
And compared with last time samples, the displacement distance of smart mobile phone is more than or equal to Minimum sliding distance, prompts user by the side of camera
To the direction of covering vehicle traveling, start the image capture device on smart mobile phone, obtain camera (shooting direction and terrain vehicle
Travel direction is consistent) signal, after compressed encoding, in real time by the ID number of smart mobile phone, sampling location coordinate, the sampling time, regard
Frequency fragment is sent to traffic information processing platform;
Step 13e, starts travel speed when setting movement velocity of the acquisition mode for video, smart mobile phone to be less than sampling,
And compared with last time samples, the displacement distance of smart mobile phone is less than Minimum sliding distance, ID number, the sampling of smart mobile phone are only sent
Position coordinates and sampling time give traffic information processing platform;
Step 13f, starts travel speed, by advance when the movement velocity of smart mobile phone is optionally greater than pre-set sampling
The sampling time interval of setting, gathers the position coordinates of smart mobile phone, only by the ID number of smart mobile phone, sampling location coordinate in real time
Traffic information processing platform is sent to the sampling time.
As shown in figure 5, step 2 includes traffic information processing platform processing traffic information process, mainly there are step 21 road conditions
The initialization of the information processing platform, step 22 are received from roadside information's collecting device, board information terminal and smart mobile phone
The processing of information and step 23 traffic information, specific process are as follows:
Step 21, the initialization of traffic information processing platform, including:
Step 211, at the beginning of can carrying out road condition acquiring information when carrying out the Initialize installation of parameter in advance, such as being embodied
The setting of beginningization parameter, the setting of the related initiation parameter of traffic information processing, traffic information distribute the setting of initiation parameter
And the setting of traffic information storing initial parameter;
Step 212, the Unified number and management of road conditions information gathering equipment and traffic information receiving device ID;
Traffic information processing platform handles road conditions information collecting device and traffic information receiving device with traffic information flat
The time of platform is calibrated.
Step 22, to the processing procedure from collecting device information, the information of step 221 roadside information's collecting device is included
Processing, the information processing of step 222 board information terminal and the information processing of step 223 smart mobile phone;
Step 221, it is as follows comprising the information process from roadside information's collecting device:
Step 2211, what is received such as traffic information processing platform is video, carries out intelligent vehicle detection, obtains vehicle number
Measure information and form an ID, sampling location coordinate, sampling time and information of vehicles traffic information list;;
Step 2212, what is received such as traffic information processing platform is vehicle fleet size information, also forms ID, a sample bits
Put coordinate, sampling time information of vehicles and traffic information list;
Step 222, it is as follows comprising the information process gathered from board information terminal:
Step 2221, what is such as received is video segment, forms an ID, sampling location coordinate, sampling time and video
The traffic information list of fragment;
Step 2222, what is such as received is picture, forms the road of an ID, sampling location coordinate, sampling time and picture
Condition information list;
Step 2223, the existing video such as received has picture again, then when forming an ID, sampling location coordinate, sampling
Between and video segment/picture traffic information list, and be stored in the database of traffic information processing platform.
Step 223, it is as follows comprising the information process gathered from smart mobile phone:
Step 2231, what is such as received is video segment, forms an ID, sampling location coordinate, sampling time and video
The traffic information list of fragment;
Step 2232, what is such as received is picture, forms the road of an ID, sampling location coordinate, sampling time and picture
Condition information list;
Step 2233, the existing video such as received has picture again, then when forming an ID, sampling location coordinate, sampling
Between and video segment/picture traffic information list, and be stored in the database of traffic information processing platform.
Step 23, including traffic information processing procedure it is as follows:
Step 231, the coordinate information according to road path, from having been formed in all kinds of traffic information lists, extracts every
The collection point of information on road, based on the traffic information of these collection points, traffic information processing platform calculates, forms every
The real-time road condition information of road.
Preferably, in the application of the traffic information of three classes collecting device, the traffic information of roadside collecting device acquisition
Weight highest, traffic information processing platform calculate, form the real-time road condition information of every road, and are stored in traffic information processing
In the database of platform.Present invention further propose that preferable computational methods are as follows:
As having roadside information's collecting device, board information terminal and smart mobile phone collection traffic information on this road, with
The weight coefficient of machine initialization roadside information collecting device, board information terminal and smart mobile phone collection traffic information, sets road
The weight of the condition correction factor on the way of the road traffic capacity, wherein roadside information's collecting device is maximum.It is each by what is constantly obtained
Class traffic information, adjusts all kinds of collecting device information weights, obtain all kinds of collecting devices on this road obtain traffic informations and
The actual capacity of the corresponding correction factor of condition on the way and road, extracts road condition acquiring information and the road is clear, road blocks up
The real-time road condition informations such as plug, stemming length, transit time[1,2,3]And dependency relation.
As there was only board information terminal or smart mobile phone collection traffic information, random initializtion on-vehicle information on this road
The weight coefficient of terminal and smart mobile phone collection traffic information, sets the condition correction factor on the way of road passage capability.Pass through
All kinds of traffic informations constantly obtained, adjust all kinds of collecting device information weights, obtain all kinds of collecting devices on this road and obtain
Traffic information and the actual capacity of the corresponding correction factor of condition on the way and road are obtained, extracts road condition acquiring information and road
The real-time road condition informations such as unobstructed, road congestion, stemming length, transit time and dependency relation.There are traffic information for all information
In the database of processing platform.
Refer to the prior art, such as document:
[1] Zhang Qisen, Zhang Yaping road passage capabilities analysis People's Transportation Press, 2002.122
[2] Wang Dianhai traffic flow theories People's Transportation Press 2002.20
[3] Ma Jianming is built in honor, appoints Feitian etc. to solve traffic capacity Beijing University of Technology journal using Traffic Flow Simulation Models
2001.27(1):4
Especially, using the position of smart mobile phone collection, time, traffic information processing platform may determine that smart mobile phone is
It is no to be moved with vehicle, moved if in vehicle, the information and on-vehicle information of the collection of this smart mobile phone
The data merging treatment of terminal collection;Otherwise, the information and the data of roadside information's collecting device of the collection of this smart mobile phone
Merging treatment.
Step 232, the coordinate information according to road path, from established all kinds of traffic information lists, analysis is adjacent
Different degrees of blocking occurs for the mutual influence relation of road conditions, particularly a road, to periphery adjacent road
Influence, calculate the movement velocity of vehicle in adjacent road (region), congestion distance, Congestion Level SPCC traffic flow character ginseng
Number, and be stored in the database of traffic information processing platform;
Step 233, traffic information processing platform calculates the road traffic flow characteristic parameter of every road daily at different moments
And every road daily, weekly, monthly, annual road traffic flow characteristic parameter (the road is clear, road congestion, stemming length,
Transit time etc.), and be stored in the database of traffic information processing platform;
Step 234, road traffic flow characteristic parameter of the traffic information processing platform according to every road daily at different moments,
The prediction of road conditions is provided.
Prediction implementation refers to the prior art, such as:
[1] Zhang Qisen, Zhang Yaping road passage capabilities analysis People's Transportation Press, 2002.122
[2] Wang Dianhai traffic flow theories People's Transportation Press 2002.20
[3] Ma Jianming is built in honor, appoints Feitian etc. to solve traffic capacity Beijing University of Technology journal using Traffic Flow Simulation Models
2001.27(1):4
Step 235, traffic information processing platform all kinds of traffic informations of acquisition can also be sent to other maps and
Navigation system, map and navigation system can be corrected using all kinds of traffic informations and be optimized map and navigation information.
Step 3, the image information of traffic route road conditions is distributed, is divided into two classes of inquiry and navigation.It is also thin to inquire about class subdivision
It is divided into board information terminal inquiry and smart mobile phone inquiry, navigation type is subdivided into board information terminal navigation and smart mobile phone is led
Boat, below illustrates all kinds of processes;
Step 31, board information terminal query process is;As user on the map of board information terminal input inquiry
During path, relevant parameter (starting point, time and destination etc.) is sent to traffic information processing platform, traffic information processing is flat
The real-time road condition information of this paths is sent to board information terminal by platform, and user browses the real-time road condition information of this paths
(collection source, the source of video segment/picture are represented with different marks).
Step 32, the query process of smart mobile phone is:When user is in the path of input inquiry on the map of smart mobile phone,
Relevant parameter is sent to traffic information processing platform, traffic information processing platform sends the real-time road condition information of this paths
To on-vehicle information, user browses the real-time road condition information of this paths, and (collection source, the source of video segment/picture are with different
Identify to represent).
Step 33, the process comprising board information terminal navigation is as follows:
Step 331, during the navigation of in-use automotive information carrying breath terminal map, after inputting beginning and end, planning driving path is determined;
Step 332, by roadway after being sent into traffic information processing platform, traffic information processing platform is by this paths
Real-time road condition information is sent to board information terminal, and user browses real-time road condition information (collection source, the piece of video of this paths
The source of section/picture is represented with different marks);
Step 333, when such as finding that this paths does not have traffic information, traffic information processing platform will be pre- according to statistical information
The road conditions of survey issue board information terminal, and point out user;If in the process of moving, find traffic jam, reselect
Planning driving path.
Step 34, the process comprising smart mobile phone navigation is as follows:
Step 341, as smart mobile phone is moved with vehicle, during using digital map navigation, after inputting beginning and end, determine
Planning driving path;Step 342, for smart mobile phone by roadway after being sent into traffic information processing platform, traffic information processing platform will
The real-time road condition information of this paths is sent to smart mobile phone, and user browses the real-time road condition information of this paths, and (collection source, regard
The source of frequency fragment/picture is represented with different marks);
Step 343, when such as finding that this paths does not have traffic information, traffic information processing platform will be pre- according to statistical information
The road conditions of survey issue smart mobile phone, and point out user;If in the process of moving, find traffic jam, reselect driving
Path.
From the above with from the point of view of system, gathered using roadside information's collecting device, board information terminal and smart mobile phone
Video segment or picture, after traffic information processing platform, form the real-time road condition information per paths, avoid existing product
The problem of existing information provided in use is not inconsistent with actual conditions, erroneous judgement is brought to user's traffic route, allows use
Family can understand the traffic information of planning driving path in real time, make anticipation in advance.
When it is implemented, flow of the present invention can realize automatic running in the form of software.
It is emphasized that embodiment of the present invention is illustrative, rather than it is limited, therefore the present invention is simultaneously
The embodiment described in embodiment is not limited to, it is every to be drawn by those skilled in the art's technique according to the invention scheme
Other embodiment, also belong to the scope of protection of the invention.
Claims (10)
- A kind of 1. road conditions image navigation method, it is characterised in that:Traffic information processing platform is set, is supported to road conditions Information is acquired, handles and distributes, and supports on the basis of digital map navigation, and according to real-time road condition information is obtained, selection is optimal Driving route;The road conditions information gathering includes the collection of roadside information's collecting device, board information terminal collection and intelligence Mobile phone gathers three classes, and wherein roadside information's collecting device is divided into intelligent roadside collecting device and non intelligent roadside collecting device;Institute State traffic information and refer to the ID of collecting device, sampling location coordinate, sampling time and image, video or vehicle fleet size information composition Structure.
- 2. road conditions image navigation method according to claim 1, it is characterised in that:Roadside information's collecting device is adopted Collection realizes that process is as follows,1) after roadside information's collecting device starts, traffic information processing platform is registered to, obtains the ID of roadside information's collecting device Number and position coordinates, and roadside information collecting device is calibrated with the time of traffic information processing platform;2) data acquisition relevant parameter is set;3) time registration;4) it is flat to be sent to traffic information processing by the video information that non intelligent roadside information's collecting device obtains in real time for ID number, video Platform.5) intelligent roadside information's collecting device possesses intelligent vehicle detection function, in real time by ID number, sampling time, vehicle fleet size letter Breath is sent to traffic information processing platform, depends on pre-setting using time span, information of vehicles includes various type of vehicle And its quantity.
- 3. road conditions image navigation method according to claim 1, it is characterised in that:The board information terminal collection is real Now as follows, 1) after board information terminal start, start wireless communication module, be registered to traffic information processing platform, obtain vehicle-mounted The ID number of information terminal, and board information terminal is calibrated with the time of traffic information processing platform;2) data acquisition relevant parameter is set;3) time registration;4) board information terminal presses the instruction of traffic information processing platform, starts image capture device, obtains vehicle front shooting Head or vehicle rear camera, after compressed coding, in real time by the ID number of vehicle, the position coordinates of vehicle, sampling time, video Fragment or picture are sent to traffic information processing platform;5) position coordinates in vehicle travel process is obtained in real time;6) movement velocity of vehicle is calculated;7) start Vehicle Speed when the movement velocity of vehicle is less than pre-set sampling, start on board information terminal Image capture device, obtains vehicle front camera or vehicle rear camera, after compressed coding, in real time by the ID of vehicle Number, position coordinates, sampling time, video segment or picture be sent to traffic information processing platform;8) Vehicle Speed is started when the movement velocity of vehicle is less than pre-set sampling, and compared with last time gathers, such as The movement of fruit vehicle is more than or equal to Minimum sliding distance, in real time by the ID number of vehicle, position coordinates, sampling time, video segment Or picture is sent to traffic information processing platform;Otherwise, the ID number of a transmission vehicle, sampling location coordinate and sampling time;9) Vehicle Speed is started when the movement velocity of vehicle is optionally greater than pre-set sampling, by pre-set sampling Time interval, the position coordinates of real-time collection vehicle, is only sent to road by the ID number of vehicle, sampling location coordinate and sampling time The condition information processing platform.
- 4. road conditions image navigation method according to claim 1, it is characterised in that:The smart mobile phone collection is realized such as Under,1) start smart mobile phone image capture module, be registered to traffic information processing platform;The ID number of acquisition smart mobile phone, and with Smart mobile phone is calibrated in the time of traffic information processing platform;2) data acquisition relevant parameter is set;3) time registration;4) position coordinates in smart mobile phone motion process is obtained in real time;5) movement velocity of computational intelligence mobile phone;6) when the movement velocity of smart mobile phone starts translational speed less than pre-set sampling, prompting user starts smart mobile phone Image capture device, by the direction of the scope of camera covering vehicle traveling, after compressed coding, in real time by smart mobile phone ID number, position coordinates, sampling time, video segment or picture are sent to traffic information processing platform, are to send picture or regard Frequency fragment depends on pre-setting, and the time span of video segment, which also depends on, to be pre-set;7) translational speed is started when the movement velocity of smart mobile phone is less than pre-set sampling, and compared with last time gathers, such as The movement of fruit smart mobile phone is more than or equal to Minimum sliding distance, in real time by the ID number of smart mobile phone, position coordinates, the sampling time, Video segment or picture are sent to traffic information processing platform;Otherwise, only send the ID number of smart mobile phone, sampling location coordinate and Sampling time;8) translational speed is started when the movement velocity of smart mobile phone is optionally greater than pre-set sampling, by pre-set sampling Time interval, gathers the position coordinates of smart mobile phone, only by the ID number of smart mobile phone, sampling location coordinate and sampling time in real time It is sent to traffic information processing platform.
- 5. according to the 1 or 2 or 3 or 4 road conditions image navigation method of claim, it is characterised in that:Road conditions information Processing include to the information from roadside information's collecting device, from board information terminal collection information and from intelligent hand The information processing of machine collection forms corresponding traffic information list according to the content received respectively,1) coordinate information according to road path, from having been formed in all kinds of traffic information lists, extracts information on every road Collection point, based on the traffic information of these collection points, in the application of the traffic information of three classes collecting device, roadside is adopted Collect the weight highest for the traffic information that equipment obtains, traffic information processing platform calculates, formed the real-time road letter of every road Breath, and be stored in the database of traffic information processing platform;2) coordinate information according to road path, from established all kinds of traffic information lists, analyzes adjacent road road conditions phase Different degrees of blocking occurs for the influence relation between mutually, particularly a road, and the influence to periphery adjacent road, calculates The movement velocity of vehicle in adjacent road, congestion distance, Congestion Level SPCC traffic flow character parameter, and it is stored in traffic information processing In the database of platform;3) traffic information processing platform calculates the road traffic flow characteristic parameter and every road of every road daily at different moments Daily, road traffic flow characteristic parameter weekly, monthly, annual, and be stored in the database of traffic information processing platform;4) road traffic flow characteristic parameter of the traffic information processing platform according to every road daily at different moments, there is provided Road The prediction of condition;5) all kinds of traffic informations of acquisition are sent to other maps and navigation system, map and navigation by traffic information processing platform System is corrected using all kinds of traffic informations and is optimized map and navigation information.
- 6. according to the 1 or 2 or 3 or 4 road conditions image navigation method of claim, it is characterised in that:Road conditions information Distribution include inquiry and navigation,The distribution of traffic information during inquiry, realization is as follows,1) when user is in the path of input inquiry on the map of board information terminal, relevant parameter is sent at traffic information The real-time traffic information of this paths is sent to board information terminal by platform, traffic information processing platform, and user is clear Look at the real-time road condition information of this paths;2) when user is in the path of input inquiry on the map of smart mobile phone, it is flat that relevant parameter is sent to traffic information processing The real-time traffic information of this paths is sent to on-vehicle information by platform, traffic information processing platform, and user browses this road The real-time road condition information in footpath;3) other existing maps and navigation system is supported to obtain the data of traffic information processing platform, to provide inquiry service;The distribution of traffic information during navigation, realization is as follows,1) in board information terminal digital map navigation, user inputs beginning and end, obtains planning driving path, by roadway through being sent into After traffic information processing platform, the real-time traffic information of this paths is automatically transmitted to vehicle-mounted by traffic information processing platform Information terminal, user browse the real-time road condition information of this paths;As discovery can not provide the real-time road condition information of this paths When, traffic information processing platform will be according to statistical information, and the predicting road conditions made issue board information terminal, and point out use Family;2) moved with vehicle such as smart mobile phone, during using digital map navigation, after inputting beginning and end, obtain planning driving path, Smart mobile phone is by roadway after being sent into traffic information processing platform, and traffic information processing platform is by the real-time traffic of this paths Traffic information is sent to smart mobile phone, and user browses the real-time road condition information of this paths;As found that this paths can not be provided During real-time road condition information, traffic information processing platform will be according to statistical information, and the predicting road conditions made issue smart mobile phone, and carry Wake up and pay attention to user;If in the process of moving, user has found traffic jam, reselects planning driving path.3) other existing maps and navigation system is supported to obtain the data of traffic information processing platform, to provide navigation Service.
- A kind of 7. road conditions image-guidance system, it is characterised in that:It is flat including road conditions information gathering equipment, traffic information processing Platform and traffic information receiving device, the road conditions information gathering equipment, be divided into roadside information's collecting device, board information terminal and Smart mobile phone three classes, wherein roadside information's collecting device are divided into intelligent roadside collecting device and non intelligent roadside collecting device, non- Roadside collecting device and board information terminal, the smart mobile phone of intelligence realize collection image, position coordinates and temporal information, intelligence Roadside collecting device directly acquire vehicle fleet size information.
- 8. road conditions image-guidance system according to claim 7, it is characterised in that:Traffic information processing platform, is used for Road conditions information gathering equipment and traffic information receiving device carry out unified ID numberings and management;To road conditions information collecting device and road When condition information receiving device carries out unified school;According to the information of input, there is provided real-time road condition information;The distribution of traffic information is provided Serviced with prediction;Generate every road road traffic flow characteristic parameter daily at different moments and every road daily, weekly, often The moon, annual road traffic flow characteristic parameter are simultaneously preserved.
- 9. road conditions image-guidance system according to claim 7, it is characterised in that:Traffic information receiving device, including Board information terminal, smart mobile phone and other map navigation systems, realize from traffic information processing platform and obtain traffic information.
- 10. road conditions image-guidance system according to claim 7, it is characterised in that:Roadside information's collecting device passes through Wired or wireless network is connected with traffic information processing platform, and board information terminal and smart mobile phone pass through wireless network and road conditions The information processing platform is connected, and traffic information processing platform is connected by wired or wireless network with other map navigation systems.
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Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101286267A (en) * | 2008-05-30 | 2008-10-15 | 同济大学 | Wireless ad hoc network traffic navigation system and method based on multi-source data |
CN101325004A (en) * | 2008-08-01 | 2008-12-17 | 北京航空航天大学 | Method for compensating real time traffic information data |
CN101777253A (en) * | 2009-12-24 | 2010-07-14 | 戴磊 | Real-time road condition acquiring, analyzing and back-feeding and intelligent transportation integrated service system |
CN102201163A (en) * | 2011-04-12 | 2011-09-28 | 北京世纪高通科技有限公司 | Information processing method based on RDS-TMC |
CN102542801A (en) * | 2011-12-23 | 2012-07-04 | 北京易华录信息技术股份有限公司 | Traffic condition prediction system fused with various traffic data and method |
CN104535073A (en) * | 2014-12-31 | 2015-04-22 | 北京赛维安讯科技发展有限公司 | Road condition information display device and method and vehicle navigation system and method |
CN106558230A (en) * | 2016-12-30 | 2017-04-05 | 深圳天珑无线科技有限公司 | Road condition information acquisition method and device |
-
2017
- 2017-11-14 CN CN201711125315.9A patent/CN107945509A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN101286267A (en) * | 2008-05-30 | 2008-10-15 | 同济大学 | Wireless ad hoc network traffic navigation system and method based on multi-source data |
CN101325004A (en) * | 2008-08-01 | 2008-12-17 | 北京航空航天大学 | Method for compensating real time traffic information data |
CN101777253A (en) * | 2009-12-24 | 2010-07-14 | 戴磊 | Real-time road condition acquiring, analyzing and back-feeding and intelligent transportation integrated service system |
CN102201163A (en) * | 2011-04-12 | 2011-09-28 | 北京世纪高通科技有限公司 | Information processing method based on RDS-TMC |
CN102542801A (en) * | 2011-12-23 | 2012-07-04 | 北京易华录信息技术股份有限公司 | Traffic condition prediction system fused with various traffic data and method |
CN104535073A (en) * | 2014-12-31 | 2015-04-22 | 北京赛维安讯科技发展有限公司 | Road condition information display device and method and vehicle navigation system and method |
CN106558230A (en) * | 2016-12-30 | 2017-04-05 | 深圳天珑无线科技有限公司 | Road condition information acquisition method and device |
Cited By (14)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN108922242A (en) * | 2018-06-05 | 2018-11-30 | 宁波金洋化工物流有限公司 | The preventative tracking of harmful influence haulage vehicle and control platform |
CN109461308A (en) * | 2018-11-22 | 2019-03-12 | 东软睿驰汽车技术(沈阳)有限公司 | A kind of information filtering method and image processing server |
WO2020135590A1 (en) * | 2018-12-29 | 2020-07-02 | 北京辰安科技股份有限公司 | Internet map-based method and device for acquiring video ahead, and rescue vehicle |
CN109493614A (en) * | 2018-12-30 | 2019-03-19 | 江苏迪纳数字科技股份有限公司 | It is a kind of with real-time video real-time road monitoring and methods of exhibiting |
CN109738923A (en) * | 2019-03-18 | 2019-05-10 | 腾讯科技(深圳)有限公司 | A kind of traffic navigation method and apparatus and system |
CN111754766A (en) * | 2019-03-29 | 2020-10-09 | 本田技研工业株式会社 | Information acquisition device |
CN110276947A (en) * | 2019-06-05 | 2019-09-24 | 中国科学院深圳先进技术研究院 | A kind of traffic convergence analysis prediction technique, system and electronic equipment |
CN110213548A (en) * | 2019-07-01 | 2019-09-06 | 南京派光智慧感知信息技术有限公司 | A kind of track train driving behavior comprehensive monitoring alarming method for power |
CN111815945A (en) * | 2019-12-17 | 2020-10-23 | 北京嘀嘀无限科技发展有限公司 | Image acquisition method and device for congested road section, storage medium and electronic equipment |
CN114143497A (en) * | 2020-08-12 | 2022-03-04 | ***通信有限公司研究院 | State monitoring method, device and system for municipal administration management object and storage medium |
CN113077647A (en) * | 2021-03-30 | 2021-07-06 | 深圳市慧鲤科技有限公司 | Parking lot navigation method and device, electronic equipment and storage medium |
CN113077647B (en) * | 2021-03-30 | 2022-05-27 | 深圳市慧鲤科技有限公司 | Parking lot navigation method and device, electronic equipment and storage medium |
CN114973725A (en) * | 2022-04-19 | 2022-08-30 | 安徽皖通科技股份有限公司 | Information service system based on perception of Internet of things |
CN114819220A (en) * | 2022-05-05 | 2022-07-29 | 西宁市交通运输局 | Road transport government affair safety supervision and management method |
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