CN109029481A - A kind of driving route optimization method - Google Patents
A kind of driving route optimization method Download PDFInfo
- Publication number
- CN109029481A CN109029481A CN201810687363.5A CN201810687363A CN109029481A CN 109029481 A CN109029481 A CN 109029481A CN 201810687363 A CN201810687363 A CN 201810687363A CN 109029481 A CN109029481 A CN 109029481A
- Authority
- CN
- China
- Prior art keywords
- traffic congestion
- route
- optimization method
- image
- traffic
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- 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
- G01C21/34—Route searching; Route guidance
- G01C21/3453—Special cost functions, i.e. other than distance or default speed limit of road segments
- G01C21/3492—Special cost functions, i.e. other than distance or default speed limit of road segments employing speed data or traffic data, e.g. real-time or historical
-
- 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
- G01C21/34—Route searching; Route guidance
- G01C21/3407—Route searching; Route guidance specially adapted for specific applications
- G01C21/3415—Dynamic re-routing, e.g. recalculating the route when the user deviates from calculated route or after detecting real-time traffic data or accidents
Abstract
A kind of driving route optimization method, the described method comprises the following steps: S1: positioning current location determines destination, transmitting line optimization request；S2: planning route；S3: it is obtained according to the image planned in the step S2 in line range；S4: analysis obtains image, judges whether there is traffic congestion section；S5: optimum line is selected according to the analysis result in the step S4.User can be realized the functions such as positioning, route search and route recommendation by line module, user can be directly viewable congested link and accident or red street lamp occurs, or vehicle excessively caused congestion, and the time of congestion can be probably predicted, anxiety degree can be reduced.Driving route optimization method of the invention, one side system can be according to real-time road condition informations, the preferred traffic route of planning department, more targetedly；In addition, user, which passes through, checks that the traffic information in traffic congestion section checks road conditions picture when there is traffic congestion section, the reason of traffic congestion can be analyzed and determined in time.
Description
Technical field
The present invention relates to urban traffic information service technology fields, and in particular to a kind of driving route optimization method.
Background technique
With the continuous improvement of people's quality of life, and vehicle price is more and more popular, and car ownership just constantly increases
Add, it is more and more big that this also directly results in urban highway traffic pressure.How the vehicle dredged road on is taken effective measures
, improve urban traffic environment, becomes an extremely urgent urgent problem.People's life bring shadow is given in traffic congestion
Sound is increasing.Rush hour on and off duty, can be such that driver feels at the urban district major trunk roads meeting congestion long period in many cities
Indignation and agitation, there are certain danger, and then increase traffic accident number.When blocking, vehicle must constantly add
Speed, brake not only increase the consuming of fuel, but also pollute environment.
It is universal with Internet application user with the development of internet technology, with the expansion and logistics of logistics kind class
Traditional logistics enterprise and traffic management mode, transportation service mode is transformed using Internet technology in the expansion of region,
Meet the transportation service amount being growing, promote transportation service quality, has become current traffic transport industry hair
The direction of exhibition, while with the development of society, the traffic congestion in city, which has become, influences urban development and people's normal life
Major issue.How existing city road network is made full use of to alleviate traffic pressure and become the weight that each city needs to solve
Want problem.
Auto-navigation system is the navigation signal that vehicle present position is received by navigation system antenna, and navigation signal is led to
It crosses coaxial line and is transferred to navigation host, realize the function of navigator fix.Currently, driver grasps periphery highway, city in time
The dynamic traffic situation of city's road etc. can show real-time road condition information by GPS positioning.Real-time road display function can be with
So that driver is dynamically checked road information in the process of moving, so that driver is effectively evaded the section of congestion, more accelerate
Speed arrives at the destination.
However, the display of existing real-time road, user can only substantially view congestion information, can not obtain and accurately gather around
Stifled presence states, especially when being in the road of congestion, due to can not know congestion ahead, at people
When the environment of a unknown result, it is more easier that people is allowed to generate anxiety.Another situation is that some sections may be very little
Accident cause to block up, may will soon dredge, but driver also check less than, other sections can only be selected away,
To influence stroke.
In addition, present navigation system will not carry out line optimization according to road congestion information dynamic, there is certain limitation
Property, user experience is bad.
Summary of the invention
The purpose of the present invention is to provide a kind of driving route optimization methods, enable a driver to see congested link in real time
Scene image information, the more intuitive specific image information for observing traffic congestion, and be capable of providing the traffic route of optimization,
Congestion in road can be further reduced.
To solve the above-mentioned problems, the present invention provides a kind of driving route optimization method, the described method comprises the following steps:
S1: positioning current location determines destination, transmitting line optimization request；
S2: planning route；
S3: it is obtained according to the image planned in the step S2 in line range；
S4: analysis obtains image, judges whether there is traffic congestion section；
S5: optimum line is selected according to the analysis result in the step S4.
A kind of road conditions realtime analysis system, the decision-making system include:
Image collection module: it is communicated to connect for collecting road image information, and with background control module；
Background control module: the image information for collecting image collection module carries out data processing；
Line module: implement decision request for sending road conditions, and traffic information can be received, and display real-time judgment
As a result；
Wireless communication module: the image information for collecting image collection module is transmitted to background control module；And it will
Treated that data are transmitted to line module for background control module.
Described image obtains module for collecting road image information, can be image, is also possible to small video, Neng Gougen
Obtain the picture of road conditions at any time according to order.Described image obtains module and background control end is established and communicated to connect, and can will obtain
Image transmitting to background control module.The setting of image collection module, the image for being able to use family real time inspection to road conditions are believed
Breath, more intuitive understanding is to the reason of present road congestion.Driver when programme path or can encounter
The real time status of congestion in road is viewed when traffic congestion.
The background control module is the control centre of entire decision-making system, the image for collecting image collection module
Information carries out data processing；The data processing includes the collection of image and a series of analysis handles and screening, final to select
Suitable image is selected to check for user.
Area typically now, wireless network have all covered substantially, can be realized basic wireless telecommunications.It is described wireless
Communication module is used to the image information that image collection module is collected being transmitted to background control module；Further, backstage is controlled
Treated that data are transmitted to line module for molding block.The speed of wireless network transmissions is fast, and user can view backstage quickly
The data of control module transmission, therefore road conditions implementation decision-making system of the invention is easy to use, it is more convenient.
The line module for send road conditions implement decision request, driver by line module can be realized positioning,
The functions such as route search and route recommendation, and traffic information can be received, and display real-time judgment result；Driver can
The image information of background control system transmission is viewed by line module, by line module, user can be viewed in real time
Road conditions.
User arrives its current location by line module automatic positioning, while determining destination, and transmitting line optimization is asked
It asks to background control module.The background control module goes out reasonable line according to location information and destination locations information planning
Road, and control the image collection module in line range and obtain picture, and pictorial information is sent to using wireless communication module
Background control module.The background control module judges whether there is traffic congestion section according to image information analysis, if there is traffic congestion road
Programme path is sent to user according to preferred sequence if not having traffic congestion section by section, the preferential section for planning not traffic congestion
Module.
Driving route optimization method of the invention, one side system can be according to real-time road condition informations, and planning department is preferred
Traffic route, more targetedly；In addition, user, which passes through, checks that the traffic information in traffic congestion section is checked when there is traffic congestion section
Road conditions picture can analyze and determine the reason of traffic congestion in time, to further analyse whether to be suitble to walk this route, therefore more
It is convenient.
Further, in the step S2, plan that the quantity of route is 1~3.
Line information can be more easily checked for the ease of user, it is preferred that according to road conditions, by Background control
Module filters out 1~3 optimal programme path, pushes to line module.
Further, in the step S2, the method also includes what is be numbered according to the distance length of planning route
Step, number order is according to distance number consecutively from short to long.
Image information is obtained for the ease of background control module control image collection module, while according to user demand, it is right
Recommended line is successively numbered according to preferred sequence, and number order is according to distance number consecutively from short to long.
Further, in the step S3, described image, which obtains, to be realized by the camera being arranged on street lamp.
Since common traffic congestion section is urban road or fastlink, and urban road or fastlink both sides all can
Street lamp is set, therefore camera need to be only mounted on street lamp.Since camera has the range of certain shooting, it is
Reduce the cost of whole system, the settable biggish camera of image pickup scope, then according to the coverage of camera, selection
Camera is arranged in spacing appropriate, therefore does not need to be configured on each street lamp, reduces cost.
Further, the analysis is realized by background control module, and the camera can be with background control module reality
Now communicate to connect.
Further, the camera shooting angle is towards road surface, enables the shooting road surface of camera maximum magnitude
Information.
Likewise, the camera of setting can be rotated as needed for the shooting road information of maximum magnitude, from
And the photo of multi-angle is shot, after artificial adjustment shooting angle, the camera can be automatically rotated to towards road surface
Direction.
Further, the line module is on-vehicle navigation apparatus and/or user mobile phone mobile terminal.
Vehicle mounted guidance cooperates electronic map to carry out using vehicle GPS (global positioning system), it can be conveniently and quasi-
It really tells driver to go to the most short or the fastest path of destination, is the good assistant of driver.The user utilizes vehicle-mounted
Navigation device can very convenient user check real-time road condition information, it is only necessary to use user terminal of the invention, the company of can be realized
It connects.Equally, user mobile phone mobile terminal can also be realized by software realizes connection with background control module.
Further, the analysis method in the step S4 the following steps are included:
C1: disjunctive programming route in numerical order；
C2: determine the section whether traffic congestion；
C3: if traffic congestion, continue to screen next programme path；If not traffic congestion, this route information is sent to user
End.
The background control module is responsible for the image that more image collection modules obtain and is analyzed, due to programme path it
Just every route is numbered afterwards, therefore the smaller route of serial number is preferentially analyzed.After choosing analysis circuit, according to
The image of acquisition carries out system-wide piecewise analysis, judges whether to block up, if without traffic congestion, it, will using the section as preferred section
The route is sent to line module, for users to use.When there is traffic congestion, background control system sends the image information of traffic congestion
To line module, and continue to screen next route, at the same judge the section whether traffic congestion.Successively carry out subsequent operation.If
There is traffic congestion in every section, then user can decide walking route in its sole discretion according to the image information in traffic congestion section.
Further, in the step C2, the determination method is vehicle spacing≤10m, and the length of this section of wagon flow is big
When >=50m, it is determined as traffic congestion.
The pictorial information of collection is carried out Macro or mass analysis by the background control system, according to shooting ratio, determine vehicle it
Between spacing, and then judge whether there is traffic congestion.The determination method is vehicle spacing≤10m, and the length of this section of wagon flow it is big >=
When 50m, it is determined as traffic congestion.Otherwise, it is determined that being smooth.
Further, in the step C3, further include by traffic congestion section image according to apart from destination distance by closely to remote
It is numbered, and the step of image information after number is sent to user terminal.
The traffic information in traffic congestion section is checked in order to facilitate user, the background control module can press traffic congestion section image
Image information after number by closely to being far numbered, and is sent to step user's root of user terminal with a distance from destination by range
The road conditions situation of the approximate distance arrived at the destination can be deduced according to the size of number, it is more targetedly, easy to use.
Beneficial effects of the present invention:
(1) user can be realized the functions such as positioning, route search and route recommendation by line module, and can connect
Receive traffic information, and display real-time judgment result；User can be directly viewable congested link and accident or red street lamp occurs,
Or vehicle excessively caused congestion, and the time of congestion can be probably predicted, anxiety degree can be reduced.
(2) driving route optimization method of the invention, one side system can be according to real-time road condition informations, and planning department is preferred
Traffic route, more targetedly；In addition, user, which passes through, checks that the traffic information in traffic congestion section is looked into when there is traffic congestion section
It sees road conditions picture, can analyze and determine the reason of traffic congestion in time, to further analyse whether to be suitble to walk this route, therefore more
Add conveniently.
(3) user can check the image collection module of target position according to number, and it is more convenient to use to be able to use family, energy
Enough images for more targetedly checking required position.
Detailed description of the invention
Fig. 1 is a kind of traffic route optimization method of the present embodiment.
Fig. 2 is the method schematic diagram that present invention analysis obtains image.
Specific embodiment
To keep the purposes, technical schemes and advantages of the invention implemented clearer, below in conjunction in the embodiment of the present invention
Attached drawing, technical solution in the embodiment of the present invention is further described in more detail.In the accompanying drawings, identical from beginning to end or class
As label indicate same or similar element or element with the same or similar functions.Described embodiment is the present invention
A part of the embodiment, instead of all the embodiments.The embodiments described below with reference to the accompanying drawings are exemplary, it is intended to use
It is of the invention in explaining, and be not considered as limiting the invention.Based on the embodiments of the present invention, ordinary skill people
Member's every other embodiment obtained without making creative work, shall fall within the protection scope of the present invention.Under
Face is described in detail the embodiment of the present invention in conjunction with attached drawing.
Embodiment 1
A kind of driving route optimization method as shown in Figure 1, the described method comprises the following steps:
S1: positioning current location determines destination, transmitting line optimization request；
S2: planning route；
S3: it is obtained according to the image planned in the step S2 in line range；
S4: analysis obtains image, judges whether there is traffic congestion section；
S5: optimum line is selected according to the analysis result in the step S4.
Further, in the step S2, plan that the quantity of route is 1~3.
Further, in the step S2, the method also includes what is be numbered according to the distance length of planning route
Step, number order is according to distance number consecutively from short to long.
Further, in the step S3, described image, which obtains, to be realized by the camera being arranged on street lamp.
Further, in the step S4, it is described analysis by background control module realization, the camera can with it is rear
Platform control module realizes communication connection.
Further, as shown in Fig. 2, analysis method in the step S4 the following steps are included:
C1: disjunctive programming route in numerical order；
C2: determine the section whether traffic congestion；
C3: if traffic congestion, continue to screen next programme path；If not traffic congestion, this route information is sent to user
End.
Further, in the step C2, the determination method is vehicle spacing≤10m, and the length of this section of wagon flow is big
When >=50m, it is determined as traffic congestion.
Further, in the step C3, further include by traffic congestion section image according to apart from destination distance by closely to remote
It is numbered, and the step of image information after number is sent to user terminal.
Embodiment 2
The present embodiment is being further described for driving route optimization method of the present invention.
When user needs a certain destination, user arrives its current location by line module automatic positioning, while really
Determine destination, and transmitting line optimization request is to background control module.The background control module is according to location information and purpose
Location information cooks up reasonable route, and controls the image collection module in line range and obtain picture, and picture is believed
Breath is sent to background control module using wireless communication module.The background control module judges whether according to image information analysis
There is traffic congestion section, if there is traffic congestion section, the preferential section for planning not traffic congestion, if not having traffic congestion section, according to preferably
Programme path is sent to line module by sequence.
The background control module is responsible for the image that more image collection modules obtain and is analyzed, due to programme path it
Just every route is numbered afterwards, therefore the smaller route of serial number is preferentially analyzed.After choosing analysis circuit, according to
The image of acquisition carries out system-wide piecewise analysis, judges whether to block up, if without traffic congestion, it, will using the section as preferred section
The route is sent to line module, for users to use.When there is traffic congestion, background control system sends the image information of traffic congestion
To line module, and continue to screen next route, at the same judge the section whether traffic congestion.Successively carry out subsequent operation.If
There is traffic congestion in every section, then user can decide walking route in its sole discretion according to the image information in traffic congestion section.
The pictorial information of collection is carried out Macro or mass analysis by the background control system, according to shooting ratio, determine vehicle it
Between spacing, and then judge whether there is traffic congestion.The determination method is vehicle spacing≤10m, and the length of this section of wagon flow it is big >=
When 50m, it is determined as traffic congestion.Otherwise, it is determined that being smooth.
The traffic information in traffic congestion section is checked in order to facilitate user, the background control module can press traffic congestion section image
Image information after number by closely to being far numbered, and is sent to step user's root of user terminal with a distance from destination by range
The road conditions situation of the approximate distance arrived at the destination can be deduced according to the size of number, it is more targetedly, easy to use.
Embodiment of above is only used to illustrate the technical scheme of the present invention and not to limit it, although referring to the above preferable embodiment party
Formula describes the invention in detail, those skilled in the art should understand that, it can be to technical solution of the present invention
It modifies or equivalent replacement should not all be detached from the spirit and scope of technical solution of the present invention.Those skilled in the art can also be at this
Other variations etc. are done in spirit and are used in design of the invention, without departing from technical effect of the invention.These
The variation that spirit is done according to the present invention, all should be comprising within scope of the present invention.
Claims (8)
1. a kind of driving route optimization method, which is characterized in that the described method comprises the following steps:
S1: positioning current location determines destination, transmitting line optimization request；
S2: planning route；
S3: it is obtained according to the image planned in the step S2 in line range；
S4: analysis obtains image, judges whether there is traffic congestion section；
S5: optimum line is selected according to the analysis result in the step S4.
2. optimization method according to claim 1, which is characterized in that in the step S2, plan that the quantity of route is 1 ~ 3
Item.
3. optimization method according to claim 2, which is characterized in that in the step S2, the method also includes bases
Distance length the step of being numbered of planning route, number order is according to distance number consecutively from short to long.
4. optimization method according to claim 1, which is characterized in that in the step S3, described image acquisition is to pass through
What the camera being arranged on street lamp was realized.
5. optimization method according to claim 4, which is characterized in that in the step S4, the analysis is controlled by backstage
Molding block realizes that the camera can be realized with background control module and be communicated to connect.
6. optimization method according to claim 5, which is characterized in that the analysis method in the step S4 includes following step
It is rapid:
C1: disjunctive programming route in numerical order；
C2: determine the section whether traffic congestion；
C3: if traffic congestion, continue to screen next programme path；If not traffic congestion, this route information is sent to user terminal.
7. optimization method according to claim 6, which is characterized in that it is characterized in that, in the step C2, the judgement
Method is vehicle spacing≤10m, and the length of this section of wagon flow it is big >=50m when, be determined as traffic congestion.
8. optimization method according to claim 6, which is characterized in that further include by traffic congestion section figure in the step C3
As according to apart from destination distance by closely to being far numbered, and the step of image information after number is sent to user terminal.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810687363.5A CN109029481A (en) | 2018-06-28 | 2018-06-28 | A kind of driving route optimization method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810687363.5A CN109029481A (en) | 2018-06-28 | 2018-06-28 | A kind of driving route optimization method |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109029481A true CN109029481A (en) | 2018-12-18 |
Family
ID=65520819
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810687363.5A Pending CN109029481A (en) | 2018-06-28 | 2018-06-28 | A kind of driving route optimization method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109029481A (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110057377A (en) * | 2019-05-28 | 2019-07-26 | 深圳市子瑜杰恩科技有限公司 | Method for path navigation and Related product |
| CN110473421A (en) * | 2019-09-23 | 2019-11-19 | 鞠青松 | Intelligent transportation navigation system based on 5G communication network |
| CN113283272A (en) * | 2020-02-20 | 2021-08-20 | 百度在线网络技术（北京）有限公司 | Real-time image information prompting method and device for road congestion and electronic equipment |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014170474A1 (en) * | 2013-04-17 | 2014-10-23 | Tomtom Development Germany Gmbh | Routing engine |
| CN105632186A (en) * | 2016-03-11 | 2016-06-01 | 博康智能信息技术有限公司 | Method and device for detecting vehicle queue jumping behavior |
| CN106448226A (en) * | 2016-09-06 | 2017-02-22 | 深圳市索菱实业股份有限公司 | Cloud control navigator system for reporting road conditions in real time |
| CN107560626A (en) * | 2016-06-30 | 2018-01-09 | 上海博泰悦臻网络技术服务有限公司 | Traffic information obtains the method and system and its guider and server of prompting |
| CN107621267A (en) * | 2017-09-05 | 2018-01-23 | 上海博泰悦臻网络技术服务有限公司 | A kind of navigation method and system, car-mounted terminal based on road conditions camera |
-
2018
- 2018-06-28 CN CN201810687363.5A patent/CN109029481A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014170474A1 (en) * | 2013-04-17 | 2014-10-23 | Tomtom Development Germany Gmbh | Routing engine |
| CN105632186A (en) * | 2016-03-11 | 2016-06-01 | 博康智能信息技术有限公司 | Method and device for detecting vehicle queue jumping behavior |
| CN107560626A (en) * | 2016-06-30 | 2018-01-09 | 上海博泰悦臻网络技术服务有限公司 | Traffic information obtains the method and system and its guider and server of prompting |
| CN106448226A (en) * | 2016-09-06 | 2017-02-22 | 深圳市索菱实业股份有限公司 | Cloud control navigator system for reporting road conditions in real time |
| CN107621267A (en) * | 2017-09-05 | 2018-01-23 | 上海博泰悦臻网络技术服务有限公司 | A kind of navigation method and system, car-mounted terminal based on road conditions camera |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN110057377A (en) * | 2019-05-28 | 2019-07-26 | 深圳市子瑜杰恩科技有限公司 | Method for path navigation and Related product |
| CN110473421A (en) * | 2019-09-23 | 2019-11-19 | 鞠青松 | Intelligent transportation navigation system based on 5G communication network |
| CN113283272A (en) * | 2020-02-20 | 2021-08-20 | 百度在线网络技术（北京）有限公司 | Real-time image information prompting method and device for road congestion and electronic equipment |
| CN113283272B (en) * | 2020-02-20 | 2022-09-27 | 百度在线网络技术（北京）有限公司 | Real-time image information prompting method and device for road congestion and electronic equipment |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN100576282C (en) | Be used to provide the method and apparatus of the transport information of the sub-road that comprises road | |
| CN102903237B (en) | Device and method for traffic management service | |
| CN109029481A (en) | A kind of driving route optimization method | |
| CN105825684A (en) | Smart city cloud street lamp system | |
| US8078391B2 (en) | Road traffic information communicating system and method | |
| CN106384517A (en) | Traffic signal control method based on visual sensing, apparatus and system thereof | |
| CN101436346A (en) | Traffic intelligent management system and method | |
| CN102339532A (en) | Intelligent traffic information service system based on Internet of things and method | |
| US20220262128A1 (en) | Information processing device, information processing method, and information processing program | |
| CN109658692A (en) | Signalized control method, apparatus, equipment and storage medium based on ad hoc network | |
| KR101508136B1 (en) | System for collecting of traffic information, revision device of valid sampling and method for revision of valid sampling | |
| CN111314651A (en) | Road condition display method and system based on V2X technology, V2X terminal and V2X server | |
| JP2004046404A (en) | Vehicle location notification device | |
| CN104252778A (en) | Traffic information collecting, processing and publishing method, device and system | |
| CN111311942A (en) | Road condition display method and system based on V2X technology, V2X terminal and V2X server | |
| KR20020043264A (en) | Interactive Road Information System | |
| CN103956059A (en) | Method, device and system for identifying road conditions of traffic light road junctions | |
| KR20090090049A (en) | Apparatus and method for real-time traffic information service | |
| CN104167105A (en) | Vehicle-mounted crossing signal indicating instrument | |
| CN111429723B (en) | Communication and perception data fusion method based on road side equipment | |
| CN108961746A (en) | A kind of road conditions realtime analysis system and determination method | |
| US7480560B2 (en) | Self-measuring automotive traffic | |
| CN107730890B (en) | Intelligent transportation method based on traffic flow speed prediction in real-time scene | |
| KR100667476B1 (en) | System And Method For Transportation Information Service Using Digital Multimedia Broadcasting | |
| JPH10320685A (en) | Traffic information system |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20181218 |