CN205609020U - Green wavestrip of dynamic self -adapting intelligence signal controlling ware - Google Patents
Green wavestrip of dynamic self -adapting intelligence signal controlling ware Download PDFInfo
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- CN205609020U CN205609020U CN201620241001.XU CN201620241001U CN205609020U CN 205609020 U CN205609020 U CN 205609020U CN 201620241001 U CN201620241001 U CN 201620241001U CN 205609020 U CN205609020 U CN 205609020U
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Abstract
The utility model discloses a green wavestrip of dynamic self -adapting intelligence signal controlling ware, include: adopt the network transmission device to connect vehicle information processor, analysis processes ware, signal system central server and traffic signal light control ware in proper order, vehicle information processor includes that positional information acquires the module and the route acquires the module, the analysis processes ware includes velocity analysis unit, prediction model and green ripples control module, positional information acquire module, route acquire the module all with the velocity analysis unit connection, prediction model is connected with velocity analysis unit, green ripples control module respectively, the signal system central server is connected with green ripples control module, traffic signal light control ware respectively. The utility model discloses the time that obtains the vehicle and reach all crossings in the stroke route can be foreseeed to well analysis processes ware, again by the signal system central server to adjusting between time measuring in advance to the vehicle can be improved and in the current effect of green wavestrip, the green ripples phase of letting pass is avoided leading to missing because of the speed of a motor vehicle is too high, low excessively.
Description
Technical field
This utility model relates to monitoring field, particularly relates to a kind of dynamic self-adapting green wave band intelligent traffic controller.
Background technology
The control of urban intersection signal green ripple generally refers to the coordination control in major trunk roads between several continuous intersection traffic signals, purpose is to make traveling coordinate the vehicle of the crossing controlled at major trunk roads, can not meet red light or meet red light less and pass through each crossing in this coordinated control system.From the point of view of the light color of each crossing of controlled turnpike road, green light forms green ripple to moving ahead just as wave, and our this coordinating control of traffic signals mode is called that " green wave band " controls.Had " green wave band ", then it preferentially keeps unimpeded wagon flow, it is possible to " blocking by nothing " by its road control area, reduce the time of staying at crossing as far as possible.Certainly, " green wave band " is mainly also to ensure that the unimpeded of certain traffic flow.
Current Green Wave Tape System obtains the average running time in a certain section by automatic or manual way, then the phase contrast of adjacent intersection semaphore is set, make the vehicle by average speed traveling when arriving at next crossing, this crossing enters the green light clearance phase place in certain direction (along green wave band direction) just, thus directly passes through without stopping.
But, it it is not every driver average speed that can know certain green wave paths section in time, the most also it is difficult to travel according to the speed close or equal to systemic presupposition, too high or too low speed all may lead to miss green ripple and let pass the cycle, so that the current effect of green wave band is had a greatly reduced quality.
Utility model content
In view of this, this utility model provides this utility model and provides a kind of dynamic self-adapting green wave band intelligent traffic controller, solves because of excessive velocities or leads to miss green ripple the most slowly and let pass the technical problem of phase.The technical solution of the utility model is achieved in that
A kind of dynamic self-adapting green wave band intelligent traffic controller, including: use vehicle information processor, analysis processor, signaling system central server and traffic light controller that network transmission device connects successively；
Described vehicle information processor includes position information acquisition module and route acquiring module；
Described analysis processor includes velocity analysis unit, prediction module and green ripple control module；
Described position information acquisition module, described route acquiring module are all connected with described velocity analysis unit；
Described prediction module is connected with described velocity analysis unit, described green ripple control module respectively；
Described signaling system central server is connected with described green ripple control module, described traffic light controller respectively.
Preferably, described position information acquisition module includes GPS device and positional information transmitting device.
Preferably, described network transmission device is high wideband video cloud network or uses 3G or 4G communication network to form wireless VPN mobile communication private network, or utilizes WIFI wireless bridge.
The beneficial effects of the utility model are:
The dynamic self-adapting green wave band intelligent traffic controller that this utility model provides, analysis processor can be according to the vehicle position information acquired and stroke route, prediction obtains vehicle and arrives the time at all crossings in stroke route, by signaling system central server, predicted time is adjusted again, it is thus possible to improve the vehicle current effect at green wave band, it is to avoid lead to miss green ripple because speed is too high, too low and let pass the phase.
Accompanying drawing explanation
In order to be illustrated more clearly that this utility model embodiment or technical scheme of the prior art, the accompanying drawing used required in embodiment or description of the prior art will be briefly described below, apparently, accompanying drawing in describing below is only embodiments more of the present utility model, for those of ordinary skill in the art, on the premise of not paying creative work, it is also possible to obtain other accompanying drawing according to these accompanying drawings.
Fig. 1 is the workflow diagram of this utility model dynamic self-adapting green wave band intelligent traffic controller.
In figure:
1, vehicle information processor；101, position information acquisition module；102, route acquiring module；2, analysis processor；201, velocity analysis unit；202, prediction module；203, green ripple control module；3, signaling system central server；4, traffic light controller.
Detailed description of the invention
Below in conjunction with the accompanying drawing in this utility model embodiment, the technical scheme in this utility model embodiment is clearly and completely described, it is clear that described embodiment is only a part of embodiment of this utility model rather than whole embodiments.Based on the embodiment in this utility model, the every other embodiment that those of ordinary skill in the art are obtained under not making creative work premise, broadly fall into the scope of this utility model protection.
As shown in Figure 1, a kind of dynamic self-adapting green wave band intelligent traffic controller that this utility model provides, including: use vehicle information processor 1, analysis processor 2, signaling system central server 3 and traffic light controller 4 that network transmission device connects successively；Described vehicle information processor 1 includes position information acquisition module 101 and route acquiring module 102；Described analysis processor 2 includes velocity analysis unit 201, prediction module 202 and green ripple control module 203；Described position information acquisition module 101, described route acquiring module 102 are all connected with described velocity analysis unit 201；Described prediction module 202 is connected with described velocity analysis unit 201, described green ripple control module 203 respectively；Described signaling system central server 3 is connected with described green ripple control module 203, described traffic light controller 4 respectively.
In technique scheme, vehicle information processor 1 is for obtaining positional information and the stroke route of vehicle；Wherein vehicle information processor 1 includes position information acquisition module 101 and route acquiring module 102, and position information acquisition module 101 is for obtaining the positional information of vehicle, and route acquiring module 102 is for obtaining the stroke route of vehicle.
Analysis processor 2 is according to the vehicle position information acquired and stroke route, obtain vehicle and arrive the time at all crossings in stroke route, it is thus possible to make the time unlatching signal lights that signaling system central server 3 obtains according to analysis processor 2, it is simple to form green wave band；Wherein analysis processor 2 includes velocity analysis unit 201, prediction module 202 and green ripple control module 203, velocity analysis unit 201 can obtain the travel speed of vehicle according to the positional information of vehicle and stroke route analytical calculation, prediction module 202 predicts that according to the travel speed of vehicle obtaining vehicle arrives the time at all crossings, green ripple control module 203 arrives the time at all crossings according to vehicle such that it is able to provide the driving conditions blocked by nothing for vehicle.
The order that signaling system central server 3 sends according to green ripple control module 203, coordinated the time of signal lights change.
Traffic light controller 4 is according to the coordination order of signaling system central server 3, the change of control signal lamp.
The operation principle of the dynamic self-adapting green wave band intelligent traffic controller that this utility model provides: the position information acquisition module 101 in vehicle information processor 1 obtains the positional information of vehicle, and route acquiring module 102 obtains the stroke route of vehicle；And above-mentioned information is passed to velocity analysis unit 201, velocity analysis unit 201 obtains the travel speed of vehicle according to vehicle position information and stroke route analytical calculation；The travel speed prediction vehicle of the vehicle that prediction module 202 is sent according to velocity analysis unit 201 arrives the time at the crossing of all processes, and is sent to green ripple control module 203；Green ripple control module 203 provides at all crossings for vehicle and blocks by nothing information；And passing it to signaling system central server 3, this server adjusts the time of signal lights change further according to monitoring, the information of vehicles obtained；And it being sent to traffic light controller 4, this controller control signal lamp again changes, and then forms green wave band.
In the present embodiment, position information acquisition module 101 includes GPS device and positional information transmitting device, and GPS device is for obtaining the positional information of vehicle, and positional information transport module is for passing to velocity analysis unit 201 by the positional information of vehicle.
In the present embodiment, in order to improve information transfer rate, network transmission device is high wideband video cloud network or uses 3G or 4G communication network to form wireless VPN mobile communication private network, or utilizes WIFI wireless bridge.
The foregoing is only preferred embodiment of the present utility model; not in order to limit this utility model; all within spirit of the present utility model and principle, any modification, equivalent substitution and improvement etc. made, within should be included in protection domain of the present utility model.
Claims (3)
1. a dynamic self-adapting green wave band intelligent traffic controller, it is characterized in that, including, use vehicle information processor (1), analysis processor (2), signaling system central server (3) and traffic light controller (4) that network transmission device connects successively；
Described vehicle information processor (1) includes position information acquisition module (101) and route acquiring module (102)；
Described analysis processor (2) includes velocity analysis unit (201), prediction module (202) and green ripple control module (203)；
Described position information acquisition module (101), described route acquiring module (102) are all connected with described velocity analysis unit (201)；
Described prediction module (202) is connected with described velocity analysis unit (201), described green ripple control module (203) respectively；
Described signaling system central server (3) is connected with described green ripple control module (203), described traffic light controller (4) respectively.
2. dynamic self-adapting green wave band intelligent traffic controller as claimed in claim 1, it is characterised in that described position information acquisition module (101) includes GPS device and positional information transmitting device.
3. dynamic self-adapting green wave band intelligent traffic controller as claimed in claim 1, it is characterized in that, described network transmission device is high wideband video cloud network or uses 3G or 4G communication network to form wireless VPN mobile communication private network, or utilizes WIFI wireless bridge.
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| CN201620241001.XU CN205609020U (en) | 2016-03-28 | 2016-03-28 | Green wavestrip of dynamic self -adapting intelligence signal controlling ware |
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| CN201620241001.XU CN205609020U (en) | 2016-03-28 | 2016-03-28 | Green wavestrip of dynamic self -adapting intelligence signal controlling ware |
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Cited By (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108074392A (en) * | 2016-11-11 | 2018-05-25 | 杭州海康威视系统技术有限公司 | Apparatus control method and its system |
| CN111462476A (en) * | 2019-01-22 | 2020-07-28 | 上海宝康电子控制工程有限公司 | Method for realizing green wave effect inspection and prediction based on neural network algorithm under TensorFlow framework |
| IT201900020544A1 (en) | 2019-11-07 | 2021-05-07 | Andrea Serravezza | ADAPTIVE TRAFFIC LIGHT SYSTEM FOR CITY TRAFFIC REDUCTION |
| CN113129607A (en) * | 2019-12-31 | 2021-07-16 | 维布络有限公司 | Method and system for reducing road congestion |
| CN115100882A (en) * | 2022-06-23 | 2022-09-23 | 绿波速度(浙江)科技有限公司 | Green wave traffic control device and method |
| CN115223377A (en) * | 2022-07-07 | 2022-10-21 | 绿波速度(浙江)科技有限公司 | Green wave vehicle speed calculation method and device |
-
2016
- 2016-03-28 CN CN201620241001.XU patent/CN205609020U/en active Active
Cited By (9)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN108074392A (en) * | 2016-11-11 | 2018-05-25 | 杭州海康威视系统技术有限公司 | Apparatus control method and its system |
| CN108074392B (en) * | 2016-11-11 | 2020-11-10 | 杭州海康威视系统技术有限公司 | Equipment control method and system thereof |
| CN111462476A (en) * | 2019-01-22 | 2020-07-28 | 上海宝康电子控制工程有限公司 | Method for realizing green wave effect inspection and prediction based on neural network algorithm under TensorFlow framework |
| IT201900020544A1 (en) | 2019-11-07 | 2021-05-07 | Andrea Serravezza | ADAPTIVE TRAFFIC LIGHT SYSTEM FOR CITY TRAFFIC REDUCTION |
| WO2021090118A1 (en) | 2019-11-07 | 2021-05-14 | Serravezza Andrea | Adaptive traffic light system for reducing city traffic |
| CN113129607A (en) * | 2019-12-31 | 2021-07-16 | 维布络有限公司 | Method and system for reducing road congestion |
| CN113129607B (en) * | 2019-12-31 | 2023-11-24 | 维布络有限公司 | Method and system for reducing road congestion |
| CN115100882A (en) * | 2022-06-23 | 2022-09-23 | 绿波速度(浙江)科技有限公司 | Green wave traffic control device and method |
| CN115223377A (en) * | 2022-07-07 | 2022-10-21 | 绿波速度(浙江)科技有限公司 | Green wave vehicle speed calculation method and device |
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