CN108053668A - Stop-light based on Internet of Things passes through computing system - Google Patents
Stop-light based on Internet of Things passes through computing system Download PDFInfo
- Publication number
- CN108053668A CN108053668A CN201711362177.6A CN201711362177A CN108053668A CN 108053668 A CN108053668 A CN 108053668A CN 201711362177 A CN201711362177 A CN 201711362177A CN 108053668 A CN108053668 A CN 108053668A
- Authority
- CN
- China
- Prior art keywords
- stop
- light
- module
- road condition
- green light
- 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
- 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
- G08G1/09623—Systems involving the acquisition of information from passive traffic signs by means mounted on the vehicle
-
- 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
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Mathematical Physics (AREA)
- Engineering & Computer Science (AREA)
- Radar, Positioning & Navigation (AREA)
- Remote Sensing (AREA)
- Traffic Control Systems (AREA)
- Navigation (AREA)
Abstract
The present invention provides a kind of stop-light based on Internet of Things and passes through computing system,Including onboard navigation system,The onboard navigation system includes electronic map data unit,GPS positioning unit and display unit,The electronic map data unit includes electronic map data module,Stop-light dispaly state duration statistics module and electronic map range finder module,The GPS positioning unit draws the range data between stop-light and vehicle nearest in the path that onboard navigation system plans in electronic map data module by electronic map range finder module measurement,The range data is inputted to traffic indicating lamp display mode duration statistics module,Speed per hour section of the vehicle by nearest stop-light is shown by display unit,The system has calculated the speed interval that count needed for traffic lights,The speed interval calculated makes reference to driver,It is possible to prevente effectively from driver occurs making a dash across the red light when crossing traffic light intersection and that brings to a halt happens,Fuel-economizing.
Description
Technical field
The present invention relates to stop-lights in onboard navigation system more particularly to vehicle mounted guidance to pass through computing system.
Background technology
The red light duration and long green light time of each traffic light intersection are fixed, and vehicle can only see surplus in the process of moving
Remaining long green light time or remaining red light duration, the vehicle in traveling can not correctly estimate whether current driving speed can be by next
Traffic lights, when failing to pass through crossing after often giving it the gun, green light has become red light, at this moment has to suddenly touch on the brake, this feelings
The generation of condition was both dangerous, also lossy to vehicle.So in order to which driver is allowed to understand when passing through traffic light intersection
Solve within how many code is that can not go, by traffic lights, to devise based on Internet of Things by the phychology having a try by next traffic lights
Stop-light pass through computing system.
The content of the invention
Goal of the invention:In order to overcome the deficiencies in the prior art, the present invention provides a kind of traffic based on Internet of Things
For indicator light by computing system, having calculated need to be by the vehicle speed range of next traffic light intersection, oil-saving safety.
Technical solution:To achieve the above object, technical scheme is as follows:
Computing system, including onboard navigation system, the onboard navigation system are passed through based on the stop-light of Internet of Things
Including electronic map data unit, GPS positioning unit and display unit, the electronic map data unit includes electronic map number
Lead to according to module, stop-light dispaly state duration statistics module and electronic map range finder module, the GPS positioning unit
Cross electronic map range finder module measurement draw in the path that onboard navigation system is planned in electronic map data module it is nearest
Range data between stop-light and vehicle, the range data are inputted to traffic indicating lamp display mode duration statistics
Module shows speed per hour section of the vehicle by nearest stop-light by display unit.
Further, the stop-light dispaly state duration statistics module is united including the current green light end time
Count module, next green light opening time statistical module and next green light end time statistical module, the electronic map ranging mould
The signal output part of block is green with current green light end time statistical module, next green light opening time statistical module and next time respectively
Lamp end time statistical module signal input part connects.
Further, the current green light end time statistical module, next green light opening time statistical module and next time
The signal output part of green light end time statistical module and the signal input part of display unit connect, and vehicle is shown by display unit
By the minimum speed per hour of nearest stop-light or speed per hour section, the residue that current green light terminates is shown by display unit
The time that the time and next green light that time, next green light are opened terminate.
Further, this automobile-used family automobile data recorder system and the automobile-used family automobile data recorder systems of Fei Ben are further included, it is described
This automobile-used family automobile data recorder system includes local road condition acquiring unit, and non-automobile-used family automobile data recorder system includes strange land road
Condition collecting unit, the local road condition acquiring unit and strange land road condition acquiring unit are by the local road condition data collected and strange land
Road condition data is transmitted to information platform storage.
Further, all road condition data collection that the local road condition acquiring unit and strange land road condition acquiring unit collect
Conjunction is stored to information platform, and onboard navigation system obtains all road condition datas and carries out processing analysis, draws optimum programming path.
Further, all road condition data collection that the local road condition acquiring unit and strange land road condition acquiring unit collect
Conjunction is stored to information platform, if the onboard navigation system obtains the main line that user specifies in all road condition datas in path planning
Condition data carry out processing analysis, draw optimum programming path.
Advantageous effect:Advantages of the present invention is as follows:
1st, effective generation that must reduce the event made a dash across the red light unintentionally ensure that peace of the driver when counting traffic lights
Entirely, to a certain extent, driver is allowed to know whether possibly through playing the purpose of fuel-economizing.
It 2nd, can by counting the real-time road data of confluence analysis local road condition acquiring unit and strange land road condition acquiring unit
To draw an optimal path planning according to traffic at that time.
Description of the drawings
Attached drawing 1 is structure diagram of the present invention.
Specific embodiment
The present invention is further described below in conjunction with the accompanying drawings.
As shown in Figure 1, it is described including onboard navigation system based on the stop-light of Internet of Things by computing system
Onboard navigation system includes electronic map data unit, GPS positioning unit and display unit, the electronic map data unit bag
Electronic map data module, stop-light dispaly state duration statistics module and electronic map range finder module are included, it is described
GPS positioning unit draws what onboard navigation system was planned in electronic map data module by electronic map range finder module measurement
Range data in path between nearest stop-light and vehicle, the range data are inputted to traffic indicating lamp display mode
Duration statistics module shows speed per hour section of the vehicle by nearest stop-light by display unit.
The stop-light dispaly state duration statistics module include current green light end time statistical module, under
Secondary green light opening time statistical module and next green light end time statistical module, the signal of the electronic map range finder module are defeated
Outlet respectively with current green light end time statistical module, next green light opening time statistical module and next green light end time
Statistical module signal input part connects.The electronic map range finder module measures out onboard navigation system in electronic map data mould
Range data in the path planned on block between nearest stop-light and vehicle, the range data measured and current green light
End time, next green light opening time, next green light end time calculate, obtain vehicle by nearest stop-light when
Fast section.And vehicle is shown by the minimum speed per hour of nearest stop-light or speed per hour section by display unit, by aobvious
Show the time that remaining time, next green light that unit shows that current green light terminates open and the time that next green light terminates.
Embodiment 1:If electronic map range finder module measures what onboard navigation system was planned in electronic map data module
Range data in path between nearest stop-light and vehicle is 100 meters, and the current green light end time is 5 seconds, and next time is green
The lamp opening time is 10 seconds, and the next green light end time is 15 seconds, understands that current road segment speed limit is 80,000 by GPS positioning unit
M/h, then the speed per hour section shown on display unit is 72~80,000 ms/h and 24~36,000 ms/h, and is worked as
The preceding green light end time is 5 seconds, and the next green light opening time is 10 seconds, and the next green light end time was simultaneously displayed on aobvious for 15 seconds
Show on unit.
Embodiment 2:If distance is 100 meters, the current green light end time is 2 seconds, and the next green light opening time is 7 seconds, under
The secondary green light end time is 12 seconds, understands that current road segment speed limit is 80,000 ms/h by GPS positioning unit, then display is single
The speed per hour section shown in member is 30~52,000 ms/h, since 100 meters divided by the 2 seconds speed drawn are 180,000 ms/h,
Beyond 80,000 ms/h of speed is limited, so system is not considered, so the speed interval that display unit is shown is 30~52
Thousand ms/h, and the current green light end time is 2 seconds, the next green light opening time is 7 seconds, and the next green light end time is
It is simultaneously displayed on display unit within 12 seconds.
Embodiment 3:If distance is 100 meters, the current green light end time is 0 second, and the next green light opening time is 5 seconds, under
The secondary green light end time is 20 seconds, understands that current road segment speed limit is 80,000 ms/h by GPS positioning unit, then display is single
The speed per hour section shown in member is 18~72,000 ms/h, and the current green light end time is 0 second, when next green light is opened
Between for 5 seconds, the next green light end time was simultaneously displayed on for 20 seconds on display unit.
Embodiment 4:If distance is 100 meters, the current green light end time is 0 second, and the next green light opening time is 2 seconds, under
The secondary green light end time is 15 seconds, understands that current road segment speed limit is 80,000 ms/h by GPS positioning unit, then display is single
The minimum speed per hour shown in member is 24,000 ms/h, and the current green light end time is 0 second, and the next green light opening time is 2
Second, the next green light end time was simultaneously displayed on for 15 seconds on display unit.
Based on the stop-light of Internet of Things by computing system, this automobile-used family automobile data recorder system and Fei Ben are further included
Automobile-used family automobile data recorder system, described automobile-used family automobile data recorder system include local road condition acquiring unit, local road conditions
Collecting unit refers to gather road conditions and traffic lights letter on the path that onboard navigation system is planned in electronic map data module
Breath;Non- automobile-used family automobile data recorder system includes strange land road condition acquiring unit, and strange land road condition acquiring unit refers to that acquisition is referring to
The road conditions and traffic lights information that other users in a fixed panel region collect on the path that it is travelled.The local road conditions
The local road condition data collected and strange land road condition data are transmitted to information platform by collecting unit and strange land road condition acquiring unit
Storage.
The local road condition acquiring unit and all road condition data set for collecting of strange land road condition acquiring unit store to
Information platform, onboard navigation system obtain all road condition datas and carry out processing analysis, draw optimum programming path, vehicle mounted guidance system
The traffic lights that system is collected according to local road condition acquiring unit and strange land road condition acquiring unit show duration case and crowded
Situation carries out statistical analysis, selects one relatively time-consuming short, the optimal path of not congestion;Or onboard navigation system obtains planning
Several road condition datas that user specifies in all road condition datas in path carry out processing analysis, draw optimum programming path, user
The path data do not specified will not be analyzed.Such as when on and off duty, from the home to the selectable general routes of company with regard to two, that
User need to only analyze the road conditions on this two paths, fast and effective to select an optimal path.
Based on the stop-light of Internet of Things by the method for computing system, step is as follows:
Step 1:Division electric map module is multiple electronic map data submodules;Such as the map of Chaoyang District, Beijing City
Module can be divided into the multiple subareas such as A, B, C, D domain.
Step 2:The correspondence electronic map data submodule residing for vehicle is determined by GPS positioning unit;
Step 3:GPS positioning unit draws onboard navigation system in electronic map number by electronic map range finder module measurement
According to the range data between stop-light and vehicle nearest in the path planned on submodule;
Step 4:Range data is inputted to preceding green light end time statistical module, next green light opening time statistical module
With next green light end time statistical module;
Step 5:Vehicle is shown by the minimum speed per hour of nearest stop-light or speed per hour section by display unit, with
And remaining time, the time that next time, green light was opened and the time that green light next time terminates that currently green light terminates.
The above is only the preferred embodiment of the present invention, it should be pointed out that:For the ordinary skill people of the art
For member, various improvements and modifications may be made without departing from the principle of the present invention, these improvements and modifications also should
It is considered as protection scope of the present invention.
Claims (6)
1. the stop-light based on Internet of Things passes through computing system, it is characterised in that:It is described vehicle-mounted including onboard navigation system
Navigation system includes electronic map data unit, GPS positioning unit and display unit, and the electronic map data unit includes electricity
Sub- map datum module, stop-light dispaly state duration statistics module and electronic map range finder module, the GPS determine
Bit location draws the path that onboard navigation system plans in electronic map data module by electronic map range finder module measurement
In range data between nearest stop-light and vehicle, the range data, which is inputted to traffic indicating lamp display mode, to be continued
Time statistical module shows speed per hour section of the vehicle by nearest stop-light by display unit.
2. the stop-light based on Internet of Things passes through computing system according to claim 1, it is characterised in that:The traffic
Indicating lamp display mode duration statistics module includes current green light end time statistical module, next green light opening time system
Count module and next green light end time statistical module, the signal output part of the electronic map range finder module respectively with it is current green
Lamp end time statistical module, next green light opening time statistical module and next green light end time statistical module signal input
End connection.
3. the stop-light according to claim 2 based on Internet of Things passes through computing system, it is characterised in that:It is described to work as
The letter of preceding green light end time statistical module, next green light opening time statistical module and next green light end time statistical module
The signal input part of number output terminal and display unit connects, and shows that vehicle passes through nearest stop-light by display unit
Minimum speed per hour or speed per hour section show the time that remaining time, next green light that current green light terminates open by display unit
The time terminated with next green light.
4. the stop-light according to claim 1 based on Internet of Things passes through computing system, it is characterised in that:It further includes
This automobile-used family automobile data recorder system and the automobile-used family automobile data recorder systems of Fei Ben, described automobile-used family automobile data recorder system bag
Local road condition acquiring unit is included, non-automobile-used family automobile data recorder system includes strange land road condition acquiring unit, the local road conditions
The local road condition data collected and strange land road condition data are transmitted to information platform by collecting unit and strange land road condition acquiring unit
Storage.
5. the stop-light according to claim 4 based on Internet of Things passes through computing system, it is characterised in that:Described
All road condition data set that ground road condition acquiring unit and strange land road condition acquiring unit collect are stored to information platform, vehicle-mounted to lead
Boat system obtains all road condition datas and carries out processing analysis, draws optimum programming path.
6. the stop-light according to claim 4 based on Internet of Things passes through computing system, it is characterised in that:Described
All road condition data set that ground road condition acquiring unit and strange land road condition acquiring unit collect are stored to information platform, the vehicle
It carries several road condition datas that user specifies in all road condition datas in navigation system acquisition path planning and carries out processing analysis, draw
Optimum programming path.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711362177.6A CN108053668A (en) | 2017-12-18 | 2017-12-18 | Stop-light based on Internet of Things passes through computing system |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201711362177.6A CN108053668A (en) | 2017-12-18 | 2017-12-18 | Stop-light based on Internet of Things passes through computing system |
Publications (1)
Publication Number | Publication Date |
---|---|
CN108053668A true CN108053668A (en) | 2018-05-18 |
Family
ID=62133359
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201711362177.6A Pending CN108053668A (en) | 2017-12-18 | 2017-12-18 | Stop-light based on Internet of Things passes through computing system |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN108053668A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110827564A (en) * | 2019-11-18 | 2020-02-21 | 英业达科技有限公司 | Intelligent driving indication display system and method for traffic indication device |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1828226A (en) * | 2005-09-28 | 2006-09-06 | 佛山市顺德区瑞图万方科技有限公司 | Real-time traffic information system and its navigation method |
CN204680214U (en) * | 2015-06-12 | 2015-09-30 | 苏州三体智能科技有限公司 | Stop-light based on Internet of Things passes through computing system |
CN104966407A (en) * | 2015-06-12 | 2015-10-07 | 苏州三体智能科技有限公司 | Traffic-light passing-calculation system and method based on Internet of Things |
CN105702072A (en) * | 2016-04-07 | 2016-06-22 | 潍坊科技学院 | IoT-based traffic and transportation system |
-
2017
- 2017-12-18 CN CN201711362177.6A patent/CN108053668A/en active Pending
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN1828226A (en) * | 2005-09-28 | 2006-09-06 | 佛山市顺德区瑞图万方科技有限公司 | Real-time traffic information system and its navigation method |
CN204680214U (en) * | 2015-06-12 | 2015-09-30 | 苏州三体智能科技有限公司 | Stop-light based on Internet of Things passes through computing system |
CN104966407A (en) * | 2015-06-12 | 2015-10-07 | 苏州三体智能科技有限公司 | Traffic-light passing-calculation system and method based on Internet of Things |
CN105702072A (en) * | 2016-04-07 | 2016-06-22 | 潍坊科技学院 | IoT-based traffic and transportation system |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN110827564A (en) * | 2019-11-18 | 2020-02-21 | 英业达科技有限公司 | Intelligent driving indication display system and method for traffic indication device |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN104966407B (en) | Stop-light based on Internet of Things passes through computing system and method | |
CN109520744B (en) | Driving performance testing method and device for automatic driving vehicle | |
EP3028913B1 (en) | Apparatus and method for determining an advised driving speed | |
CN105718750B (en) | A kind of prediction technique and system of vehicle driving trace | |
CN106297342B (en) | It is a kind of in advance, the alarm set and method of real-time prompting traffic lights information | |
JP6380274B2 (en) | Navigation device for autonomous vehicles | |
JP5482827B2 (en) | Traffic index calculation device, method and computer program | |
CN102136190B (en) | Dispatching management system and method for event emergency response of urban bus passenger transport | |
CN101739824B (en) | Data fusion technology-based traffic condition estimation method | |
KR20060126554A (en) | Traffic information calculation device, traffic information calculation method, traffic information display method, and traffic information display device | |
US20090319171A1 (en) | Route Guidance System and Route Guidance Method | |
CN103903468A (en) | Time early-warning method for traffic jam and device thereof | |
JP2013149154A (en) | Driving model creating device and driving model creating method, drive evaluating device and drive evaluating method, and drive support system | |
CN103745595A (en) | Method and system for analyzing road condition information, vehicle-mounted terminal and road condition analysis server | |
CN107274672A (en) | Signalized intersections bicycle delay time at stop method of estimation based on gps data | |
CN112734242B (en) | Availability analysis method and device of vehicle running track data, storage medium and terminal | |
CN103018754A (en) | Turning distinguishing method based on GPS (Global Position System) data | |
CN103632540A (en) | An urban main road traffic operation information processing method based on floating vehicle data | |
CN106251621A (en) | Wisdom traffic control system and method | |
CN104750963A (en) | Intersection delay time estimation method and device | |
CN107218946A (en) | The Forecasting Methodology and device of travel route | |
CN106384524A (en) | System of assisting driver to determine whether to pass through traffic light intersection based on navigation and method thereof | |
CN105783928A (en) | Intelligent vehicle-mounted GPS | |
CN204680214U (en) | Stop-light based on Internet of Things passes through computing system | |
CN105241472A (en) | Vehicle running mileage counting method and device based on OBD vehicle speed |
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 | ||
WD01 | Invention patent application deemed withdrawn after publication | ||
WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20180518 |