CN107860395A - A kind of navigation programming method based on video monitoring - Google Patents
A kind of navigation programming method based on video monitoring Download PDFInfo
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- CN107860395A CN107860395A CN201711223469.1A CN201711223469A CN107860395A CN 107860395 A CN107860395 A CN 107860395A CN 201711223469 A CN201711223469 A CN 201711223469A CN 107860395 A CN107860395 A CN 107860395A
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- Prior art keywords
- navigation
- scheme
- requests
- traffic model
- terminal
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01C—MEASURING DISTANCES, LEVELS OR BEARINGS; SURVEYING; NAVIGATION; GYROSCOPIC INSTRUMENTS; PHOTOGRAMMETRY OR VIDEOGRAMMETRY
- G01C21/00—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00
- G01C21/26—Navigation; Navigational instruments not provided for in groups G01C1/00 - G01C19/00 specially adapted for navigation in a road network
- G01C21/34—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
- 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
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096805—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route
- G08G1/096811—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route where the route is computed offboard
- G08G1/096816—Systems involving transmission of navigation instructions to the vehicle where the transmitted instructions are used to compute a route where the route is computed offboard where the complete route is transmitted to the vehicle at once
-
- 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
- G08G1/0968—Systems involving transmission of navigation instructions to the vehicle
- G08G1/096833—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route
- G08G1/096838—Systems involving transmission of navigation instructions to the vehicle where different aspects are considered when computing the route where the user preferences are taken into account or the user selects one route out of a plurality
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- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Automation & Control Theory (AREA)
- Mathematical Physics (AREA)
- Navigation (AREA)
- Traffic Control Systems (AREA)
Abstract
The invention discloses a kind of navigation programming method based on video monitoring, including:S10:The navigation requests of receiving terminal, obtain start of a run and terminal in navigation requests;S20:According to the beginning and end of the stroke, some navigation schemes are built, obtain the monitor video of monitoring network in respective regions;S30:According to the monitor video, wagon flow and speed are analyzed, traffic model is built by regression analysis, prediction passes through the time required to each section;S40:Selection meets user preference, the most short section of total time-consuming, is configured to navigation programming scheme.The navigation way planned by this method, solves the instability problem in road condition data source, ensure that the navigation scheme for providing the user most hommization, ensure that programme reliability.
Description
Technical field
The present invention relates to navigation field, especially a kind of navigation programming method based on video monitoring.
Background technology
With the rapid development of economy, the continuous improvement of national income, the construction of capital construction, especially Traffic Net
In constantly improve and enrich, personally for, it is impossible to all remember all roads, for unknown road, typically pass through
When consulting map or inquiry passerby obtains route, but driving map can not possibly be being watched at any time, and the speed of road construction is inevitable
The speed published higher than map, map are also impossible to cover whole transportation networks.
Traditional navigation equipment, is updated the data by not timing, can cover existing transportation network substantially, so as to solve absolutely
Most of navigation problem.But the kind equipment does not possess the ability with reference to real-time road, meanwhile, do not possess personalization preferences route yet
The functions such as setting, the use habit of user is not instantly met.
With the development that the communication technology and big data calculate, communication navigation equipment or application based on internet, solve
The problem of above-mentioned access real-time road, but it obtains real-time road essentially by two schemes:1st, user/employee's active upload road
Condition information, or the acquisition of information real-time road condition information issued by traffic platform;2nd, backstage obtains user's positioning, is used by calculating
The situation of movement at family, the traffic in section where analyzing the user.For the 1st class, it is necessary to artificial active upload data, factor
Do not fixed according to source, cause result reliability not high;For the 2nd class, backstage obtains the situation of user's positioning, it is necessary to which user uses
The equipment or the application, the user source that data are provided just be present, if user will lose number without using such application or equipment
According to source.
The content of the invention
The goal of the invention of the present invention is:For above-mentioned problem, there is provided one kind is without user's active upload traffic
Data, based on the traffic analytical plan of existing monitoring network, so as to solve the navigation problem for user.
The technical solution adopted by the present invention is as follows:
A kind of navigation programming method based on video monitoring, including:
S10:The navigation requests of receiving terminal, obtain start of a run and terminal in navigation requests;
S20:According to the beginning and end of the stroke, the monitor video that network is monitored in respective regions is obtained;
S30:According to the monitor video, traffic model is built, prediction passes through the time required to each section;
S40:The most short section of total time-consuming is chosen, is configured to navigation programming scheme.
Such scheme, analysis is modeled to each possible scheme based on existing monitoring network, it is time-consuming most short so as to select
Scheme, on the one hand, upload data without user or obtain customer position information, solve the unfixed problem of data source, it is another
Aspect, by building traffic module, the traffic information of future time section can be predicted out, so as to ensure that the reliable of programme path
Property.
Further, S40 is specially:
S401:Obtain the preference information carried in the navigation requests;
S402:Selection meets the most short section of the total time-consuming of the preference information, is configured to navigation programming scheme.
The program carries out route planning according to user preference information, so as to ensure that when meeting user's request, cooks up
Preferred plan.
Further, S20 is specially:
S201:According to the beginning and end of the stroke, at least one navigation scheme is built;
S202:The monitor video that network is monitored along road of at least one navigation scheme is obtained respectively.
Monitor video is obtained according to navigation requests, so as to obtain useful monitor video, effectively reduces and is entered based on video
The data amount of calculation of row modeling, there is provided planning speed, ensure that the stability of scheme.
Further, S30 is specially:
S301:According to the monitor video, wagon flow and speed are analyzed;
S302:According to the wagon flow and speed, traffic model is built;
S303:According to the traffic model, predict by the time required to each section.
Traffic model is built by wagon flow speed, ensure that the goodness of fit of model and actual traffic road conditions, and then ensure that
The reliability of prediction data.
Further, S10 is specially:
S101:The navigation requests of receiving terminal, obtain the beginning and end of the stroke carried in the navigation requests;Judge navigation
Whether starting point is included in request, if not including starting point, perform S102;
S102:The geographical position of terminal is obtained according to the navigation requests, starting point is used as using the geographical position.
By terminal location starting point by default, so as to save the time that user inputs starting point, meanwhile, it is strange for reaching
Situation of the area without knowing self-position, is applicable very much.
Preferably, at least one of S201 navigation schemes, for the navigation scheme recorded according to navigation history.
The program calls historical navigation data, so as to effectively meet the use of user by recording the drive recorder of user
Custom, while also save the navigation programming time.
Preferably, S303 is:According to the traffic model, predict respectively by least one navigation scheme institute
Take time.
By the contrast to some routes of pre-planning, so as to filter out preferred plan, and then Consumer's Experience is improved.
Preferably, preference information includes:The preferential preference of time priority preference, distance, the preferential preference of high speed/non-high-speed or
Through at least one in rest point.It is the place that user plans to pass through through rest point.
Preferably, S302 builds traffic model by regression analysis.
Further, global positioning information, the gateway information for accessing internet or the entrance of terminal are carried in navigation requests
The identification information of internet.By sending Location Request to location Based service device LBS service device, end is carried in the request
The global positioning information at end, the gateway information for accessing internet or the identification information for entering internet, receive the anti-of LBS service device
Feedforward information, you can realize the positioning to terminal.
In summary, by adopting the above-described technical solution, the beneficial effects of the invention are as follows:
By the navigation programming scheme based on monitoring network of the present invention, solve the instability problem in road condition data source,
The utilization ratio of monitoring network is improved simultaneously, without building new monitoring device, saves construction cost.Further, navigate number
Set according to comprising user preference, so as to ensure that the navigation scheme for providing the user most hommization.Further, by building traffic mould
Type, the traffic of future time period is predicted, ensure that programme reliability, so as to improve Consumer's Experience.
Brief description of the drawings
Examples of the present invention will be described by way of reference to the accompanying drawings, wherein:
Fig. 1 is the flow chart of the navigation programming method based on video monitoring.
Embodiment
All features disclosed in this specification, or disclosed all methods or during the step of, except mutually exclusive
Feature and/or step beyond, can combine in any way.
This specification(Including any accessory claim, summary)Disclosed in any feature, unless specifically stated otherwise,
Replaced by other equivalent or with similar purpose alternative features.I.e., unless specifically stated otherwise, each feature is a series of
An example in equivalent or similar characteristics.
As shown in figure 1, present embodiment discloses a kind of navigation programming method based on video monitoring, including:
S10:The navigation requests of receiving terminal, obtain start of a run and terminal in navigation requests;
S20:According to the beginning and end of the stroke, the monitor video that network is monitored in respective regions is obtained;
S30:According to the monitor video, traffic model is built, prediction passes through the time required to each section;
S40:The most short section of total time-consuming is chosen, is configured to navigation programming scheme.
Further, above-mentioned S10 is specially:
S101:The navigation requests of receiving terminal, obtain the beginning and end of the stroke carried in the navigation requests;Judge navigation
Whether starting point is included in request, if not including starting point, perform S102;
S102:The geographical position of terminal is obtained according to the navigation requests, starting point is used as using the geographical position.
S20 is specially:
S201:According to the beginning and end of the stroke, at least one navigation scheme is built;
S202:The monitor video that network is monitored along road of at least one navigation scheme is obtained respectively.
S30 is specially:
S301:According to the monitor video, wagon flow and speed are analyzed;
S302:According to the wagon flow and speed, traffic model is built;
S303:According to the traffic model, predict by the time required to each section.
S40 is specially:
S401:Obtain the preference information carried in the navigation requests;
S402:Selection meets the most short section of the total time-consuming of the preference information, is configured to navigation programming scheme.
The present embodiment specifically discloses the preferred scheme of above-described embodiment:
At least one of S201 navigation schemes, for the navigation scheme recorded according to navigation history.
S303 is:According to the traffic model, predict respectively by least one navigation scheme required time.
Above-mentioned preference information includes:The preferential preference of time priority preference, distance, the preferential preference of high speed/non-high-speed or stop over
At least one of in point.
S302 builds traffic model by regression analysis.
The global positioning information of terminal, the gateway information of access internet are carried in navigation requests or enters internet
Identification information.By sending Location Request to location Based service device LBS service device, the whole world of terminal is carried in the request
Location information, the gateway information for accessing internet or the identification information for entering internet, the feedback information of LBS service device is received,
The positioning to terminal can be achieved.
The invention is not limited in foregoing embodiment.The present invention, which expands to, any in this manual to be disclosed
New feature or any new combination, and disclose any new method or process the step of or any new combination.
Claims (10)
1. a kind of navigation programming method based on video monitoring, it is characterized in that, including:
S10:The navigation requests of receiving terminal, obtain start of a run and terminal in navigation requests;
S20:According to the beginning and end of the stroke, the monitor video that network is monitored in respective regions is obtained;
S30:According to the monitor video, traffic model is built, prediction passes through the time required to each section;
S40:The most short section of total time-consuming is chosen, is configured to navigation programming scheme.
2. the method as described in claim 1, it is characterized in that, the S40 is specially:
S401:Obtain the preference information carried in the navigation requests;
S402:Selection meets the most short section of the total time-consuming of the preference information, is configured to navigation programming scheme.
3. the method as described in claim 1, it is characterized in that, the S20 is specially:
S201:According to the beginning and end of the stroke, at least one navigation scheme is built;
S202:The monitor video that network is monitored along road of at least one navigation scheme is obtained respectively.
4. method as claimed in claim 3, it is characterized in that, the S30 is specially:
S301:According to the monitor video, wagon flow and speed are analyzed;
S302:According to the wagon flow and speed, traffic model is built;
S303:According to the traffic model, predict by the time required to each section.
5. the method as described in claim 1-4 is any, it is characterized in that, the S10 is specially:
S101:The navigation requests of receiving terminal, obtain the beginning and end of the stroke carried in the navigation requests;Judge navigation
Whether starting point is included in request, if not including starting point, perform S102;
S102:The geographical position of terminal is obtained according to the navigation requests, starting point is used as using the geographical position.
6. method as claimed in claim 3, it is characterized in that, at least one of described S201 navigation schemes, it is according to navigation
The navigation scheme that history is recorded.
7. method as claimed in claim 4, it is characterized in that, the S303 is:According to the traffic model, predict respectively logical
The time required to crossing at least one navigation scheme.
8. method as claimed in claim 2, it is characterized in that, the preference information includes:Time priority preference, distance are preferentially inclined
Good, the preferential preference of high speed/non-high-speed or through at least one in rest point.
9. the method as described in claim 4 or 7, it is characterized in that, the S302 builds traffic model by regression analysis.
10. method as claimed in claim 5, it is characterized in that, carried in the navigation requests terminal global positioning information,
Access the gateway information of internet or enter the identification information of internet.
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CN201711223469.1A CN107860395A (en) | 2017-11-29 | 2017-11-29 | A kind of navigation programming method based on video monitoring |
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Cited By (3)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111089600A (en) * | 2018-10-24 | 2020-05-01 | 上海博泰悦臻网络技术服务有限公司 | Route planning method, mobile terminal, server and route planning system |
CN114613146A (en) * | 2022-05-12 | 2022-06-10 | 湖北车安达信息科技有限公司 | Intelligent driving method and device based on big data |
CN114927001A (en) * | 2022-04-19 | 2022-08-19 | 天津二建建筑工程有限公司 | Video monitoring method, system, intelligent terminal and storage medium |
Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030083813A1 (en) * | 2001-10-31 | 2003-05-01 | Samsung Electronics Co., Ltd. | Navigation system for providing real-time traffic information and traffic information processing method by the same |
CN101075376A (en) * | 2006-05-19 | 2007-11-21 | 北京微视新纪元科技有限公司 | Intelligent video traffic monitoring system based on multi-viewpoints and its method |
CN102147971A (en) * | 2011-01-14 | 2011-08-10 | 赵秀江 | Traffic information acquisition system based on video image processing technology |
CN102840867A (en) * | 2011-06-21 | 2012-12-26 | 歌乐株式会社 | Route searching system and method based on commonly used route |
CN103674043A (en) * | 2012-09-26 | 2014-03-26 | 鸿富锦精密工业(深圳)有限公司 | Vehicle navigation system and method |
CN104197947A (en) * | 2014-09-04 | 2014-12-10 | 百度在线网络技术(北京)有限公司 | Route recommendation method and system |
CN104567897A (en) * | 2013-10-16 | 2015-04-29 | 大陆汽车投资(上海)有限公司 | Road condition forecast combined path planning method and navigation device |
CN104821080A (en) * | 2015-03-02 | 2015-08-05 | 北京理工大学 | Intelligent vehicle traveling speed and time predication method based on macro city traffic flow |
CN105608918A (en) * | 2016-03-31 | 2016-05-25 | 宇龙计算机通信科技(深圳)有限公司 | Road condition information monitoring method and system |
CN105913664A (en) * | 2016-06-29 | 2016-08-31 | 肖锐 | Traffic flow monitoring and predicting system |
CN105976616A (en) * | 2016-07-29 | 2016-09-28 | 林玉峰 | Analysis method of traffic event monitoring model based on traffic data |
CN107144286A (en) * | 2016-03-01 | 2017-09-08 | 阿里巴巴集团控股有限公司 | Air navigation aid and device |
-
2017
- 2017-11-29 CN CN201711223469.1A patent/CN107860395A/en not_active Withdrawn
Patent Citations (12)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US20030083813A1 (en) * | 2001-10-31 | 2003-05-01 | Samsung Electronics Co., Ltd. | Navigation system for providing real-time traffic information and traffic information processing method by the same |
CN101075376A (en) * | 2006-05-19 | 2007-11-21 | 北京微视新纪元科技有限公司 | Intelligent video traffic monitoring system based on multi-viewpoints and its method |
CN102147971A (en) * | 2011-01-14 | 2011-08-10 | 赵秀江 | Traffic information acquisition system based on video image processing technology |
CN102840867A (en) * | 2011-06-21 | 2012-12-26 | 歌乐株式会社 | Route searching system and method based on commonly used route |
CN103674043A (en) * | 2012-09-26 | 2014-03-26 | 鸿富锦精密工业(深圳)有限公司 | Vehicle navigation system and method |
CN104567897A (en) * | 2013-10-16 | 2015-04-29 | 大陆汽车投资(上海)有限公司 | Road condition forecast combined path planning method and navigation device |
CN104197947A (en) * | 2014-09-04 | 2014-12-10 | 百度在线网络技术(北京)有限公司 | Route recommendation method and system |
CN104821080A (en) * | 2015-03-02 | 2015-08-05 | 北京理工大学 | Intelligent vehicle traveling speed and time predication method based on macro city traffic flow |
CN107144286A (en) * | 2016-03-01 | 2017-09-08 | 阿里巴巴集团控股有限公司 | Air navigation aid and device |
CN105608918A (en) * | 2016-03-31 | 2016-05-25 | 宇龙计算机通信科技(深圳)有限公司 | Road condition information monitoring method and system |
CN105913664A (en) * | 2016-06-29 | 2016-08-31 | 肖锐 | Traffic flow monitoring and predicting system |
CN105976616A (en) * | 2016-07-29 | 2016-09-28 | 林玉峰 | Analysis method of traffic event monitoring model based on traffic data |
Non-Patent Citations (1)
Title |
---|
阎利军,杨忠振: "《公交导向开发策略及其在大连市的应用》", 30 September 2008, 大连海事大学出版社 * |
Cited By (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN111089600A (en) * | 2018-10-24 | 2020-05-01 | 上海博泰悦臻网络技术服务有限公司 | Route planning method, mobile terminal, server and route planning system |
CN114927001A (en) * | 2022-04-19 | 2022-08-19 | 天津二建建筑工程有限公司 | Video monitoring method, system, intelligent terminal and storage medium |
CN114927001B (en) * | 2022-04-19 | 2023-09-26 | 天津二建建筑工程有限公司 | Video monitoring method, system, intelligent terminal and storage medium |
CN114613146A (en) * | 2022-05-12 | 2022-06-10 | 湖北车安达信息科技有限公司 | Intelligent driving method and device based on big data |
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Application publication date: 20180330 |