CN106056934A - Intelligent active traffic signal controller and control method - Google Patents
Intelligent active traffic signal controller and control method Download PDFInfo
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- CN106056934A CN106056934A CN201610633191.4A CN201610633191A CN106056934A CN 106056934 A CN106056934 A CN 106056934A CN 201610633191 A CN201610633191 A CN 201610633191A CN 106056934 A CN106056934 A CN 106056934A
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/08—Controlling traffic signals according to detected number or speed of vehicles
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- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0125—Traffic data processing
- G08G1/0129—Traffic data processing for creating historical data or processing based on historical data
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0141—Measuring and analyzing of parameters relative to traffic conditions for specific applications for traffic information dissemination
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/01—Detecting movement of traffic to be counted or controlled
- G08G1/0104—Measuring and analyzing of parameters relative to traffic conditions
- G08G1/0137—Measuring and analyzing of parameters relative to traffic conditions for specific applications
- G08G1/0145—Measuring and analyzing of parameters relative to traffic conditions for specific applications for active traffic flow control
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/081—Plural intersections under common control
-
- G—PHYSICS
- G08—SIGNALLING
- G08G—TRAFFIC CONTROL SYSTEMS
- G08G1/00—Traffic control systems for road vehicles
- G08G1/07—Controlling traffic signals
- G08G1/087—Override of traffic control, e.g. by signal transmitted by an emergency 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
Abstract
An Intelligent active traffic signal controller relates to the field of intelligent traffic control. The controller comprises a CPU core module, and an embedded multi-core process ARM Cortex-A9 in the series of i. MX 6QuadPlus is connected with a GPS signal reception module, a data communication module, a data flow collection and data IO module, a hot-pluggable signal output and fault yellow flashing module, a special service module and a PDA wireless handheld screen operation unit. The controller is compact in structure, simplified in lines, stable in performance, and capable of predicting traffic flow state rapidly and accurately, a jam point can be discovered and located timely, the traffic flow is controlled in a relatively unobstructed state, a control area is made unobstructed and ordered, and the intelligent active traffic signal controller with high cost performance and complete functions is provided for the fields of intelligent traffic control and management.
Description
Technical field
The present invention relates to a kind of intellectual traffic control field.
Background technology
At present, intelligent traffic signal lamp control system and technical field of intelligent traffic management are to intelligent traffic signal controller
Requirement more and more higher, the run signal that first has to aspire for stability controls scheduling feature, excellent including fixed cycle, single-point self induction, single-point
Change, single-point self adaptation；Secondly, exportable triggering signal or communication data drive crossing count-down device；Further, crossing stream can be received
Amount data are uploaded to command centre's server software, analyze for it；Finally, it is necessary to can also be taken over by command centre or crossing traffic police
Carry out duties control, and the induction information of induced screen can be forwarded.All of these, current controller is all based on crossing flow
Passively process related data, thus realize Self Adaptive Control traffic flow, reach the purpose afterwards controlled.But, crossing is handed over
Open position is the process of a Real-time and Dynamic, and passage can have state change not to the utmost over time, and once a crossing is handed over
Through-flow change, chain reaction can be caused immediately, directly result in association crossing and changes in flow rate occurs rapidly, if the most pre-
Survey and make pretreatment, quickly can form certain region or whole city large area is congested, thus cause relevant range traffic paralysis.
Owing to there is problems, in industry, many producers and research worker start to think deeply the crossing crossing congestion origin cause of formation,
Research crossing wagon flow dredges theory, the method seeking to solve crossing congestion.1. based on the solution that induction is theoretical, e.g., announce
" traffic control method the most dynamically induced by leggy saltus step and vehicle " number mentioned by CN104778845A gives from induction angle
Illustrating and try to alleviate crossing congestion problem, the method is only adapted to currently control the traffic flow of crossing corresponding road section and dredges,
And it is effective when in flow moderate or slightly must block up；2. the control system dredged based on local crossing, e.g., publication No.
" control method of a kind of self adaptation smart city intelligent traffic signal " of CN104933876A is as long as this control method is based on this
The purpose reaching road dredging is dredged at crossing, ground, and the method can solve the problem at the smaller crossing of part vehicle flowrate, and
The problem that presently, there are is that crossing flow is the biggest in most of the time section, it is impossible to by directly adjusting the stream at current crossing
Amount reaches the purpose dredged；3. based on collaborative control system afterwards, e.g., " one has collaborative publication No. CN104064040A
Dredge the traffic signal control of function ", this invention present invention provides a kind of and has the collaborative traffic signalization dredging function
Machine, it is characterised in that: arrange semaphore at each crossing, the semaphore at multiple crossings is wireless with public by wireless communication interface
Net connection and communicate to connect each other, make in city road network relatedness Qiang Zi district, when key crossing generation traffic is gathered around
During plug, it is possible to make ambient signal machine Collaborative Control crossroads traffic light display state relieve traffic congestion, formed and control synergic agent afterwards
System, can solve the problem of traffic congestion under slight congestion status, if heavy congestion, Regional Traffic Flow is directly entered deadlock state
And cause without solving；4. based on centralized management mode solution, in fact and unrealistic, centralized management can be made overall planning traffic
Stream, however it is necessary that stable network, huge machine room, and crossing still needs to control to set based on single-chip microcomputer or embedded system leading portion
Standby, this this link of scheme cost can temporarily be not concerned with, and however as the increase of equipment, system fault probability increase becomes must
So.
Summary of the invention
The present invention provides a kind of compact conformation, circuit simplification, stable performance, the most precisely prediction wagon flow state, sends out in time
Now position congestion points, by Traffic flux detection a relatively smooth state, make control area present the order state that has a good transport and communication network,
High performance-price ratio and the intelligent active traffic signal control of perfect in shape and function is provided for Control and management through ITS field.
The present invention is achieved by the following technical solution: a kind of intelligent active traffic signal control, and it is main
Wanting technical characteristic is it by core cpu module, processes including i.MX 6QuadPlus series A RM Cortex-A9 embedded multi-core
Device connects gps signal receiver module, data communication module, data traffic collection and data I/O module, hot-swappable signal respectively
Output and fault Huang dodge device module, special special duty's module and PDA wireless handheld screen operating unit and constitute；
Described gps signal receiver module, GPS module be model be SKG17 chip, it by SKG17 chip connect MAX3232 connect
Mouth is constituted, and MAX3232 interface is RS232 serial signal output interface chip；
Described data communication module is connected 2 network communication interfaces by Wi-Fi data transmission module, 3G, 4G are wireless for reconnection
Mixed-media network modules mixed-media is constituted, and described 2 network communication interfaces, wherein mixed-media network modules mixed-media 1 uses low-power consumption LAN8710a network interface chip
For accessing Wi-Fi data transmission module, this module selects general module, its transmission duties control signal or traffic guidance letter
Number；Mixed-media network modules mixed-media 2 uses technical grade AR8035-AL, onboard standard RJ45 network interface 10/100M/1000M self adaptation, accesses
Light data network or 3G, 4G wireless network connect equipment, for system control and video data transmission；
Described data traffic collection and data I/O module, described module has flow collection module, CAN interface to become with I/O interface；Stream
Amount gathers module and uses STM32F107 processor, supports network and the input of RS485 data, and native system supports maximum 12 road videos
Flow collection camera unit；The data that CAN interface receives from flow collection module are transmitted to the main process of ARM Cortex-A9
Device completes data analysis work；I/O interface is formed the GIO interface of primary processor by two parts and system is extended by GM8164
Port has 64 I/O ports, 32 input ports and 32 output ports altogether, and all input ports all complete isolation with really with EL817
Insurance system safety；Vehicle is had no signal to export also by optocoupler EL817 to make vehicle flowrate to TTL detection port by 32 output ports
Quantity statistics and self induction use；
The output of described hot-swappable signal and fault Huang dodge device module, this module by signal output module can by Wi-Fi or
The wireless communications mode extensions such as Zigbee, it is connected yellow sudden strain of a muscle controller, light color output and countdown respectively by chip 65HVD3082
Signaling module is constituted；
Described special special duty's module and PDA wireless handheld screen operating unit, this unit PDA part realizes semaphore parameter, special
Special duty's module is then responsible for receiving simple hand-held remote signal by 433Mhz or 315Mhz wireless module and is realized crossing duties commander
Function.
The control method of a kind of intelligent active traffic signal control, first builds the city friendship merging many algorithms
Through-flow forecast model and assignment of traffic Controlling model, then on the basis of Controlling model, history in first input area before issuing
Flow information is trained, and then opens crossing flow real time input data interface, join domain network, forms organic autonomous control
The signal of system controls and induction issue system, and this system is reserved with command centre and controls interface, communication protocol module support module
Heavy duty intercalation model, compatible various protocols platform, slitless connection can be realized with center comprehensive platform.
The concrete rate-determining steps of control method is as follows:
The first step: the section comprised in statistical regions and crossing, arranges key crossing, edge critical path according to crossing distribution
Mouth and core section.Wherein, key crossing is regional center position, and four direction flow is the biggest, and circumferential distribution has
Hospital, market or the crossing of government bodies' unit；Edge key crossing refers to that tide flow stream significantly enters intersection, city；Core
Wit section refers to the section that traffic flow is intensive.The semaphore that the present invention relates to can collect flow letter in being installed to crossing, region automatically
Breath, distinguishes key crossing, edge key crossing and core section.
Second step: input area section and crossing history motor vehicle flow half an hour, 1 hour statistic fluid in 12 months in the past
Amount, this part can use history to gather flow, it is also possible to is automatically collected by the semaphore being installed in region；
3rd step: analysis of history car flow information, accordingly division signals scheduled basis period, this part is related to semaphore root by patent
Automatically analyze according to changes in flow rate situation, lane occupancy ratio situation；
4th step: statistics is turned left, kept straight on, history of turning right wagon flow situation, distributes all directions number of track-lines, and according to turning right, turning left, directly
Driving traffic conditions determines enforcement canalization scheme, distributes track；
5th step: using Webster algorithm to calculate basis timing, comprehensive conflict point control method adjusts timing parameter, last shape
Crossing is become to send timing scheme；
6th step: trail run obtains current real-time flows amount, uses time slip-window Time Series Forecasting Methods, in conjunction with data fusion
Technology realizes the prediction to next cycle wagon flow；
7th step: the vehicle flowrate data generated according to forecast model, uses and optimizes particle model, uses and adjusts particle model middle school
Practising the adaptive learning factor floating algorithm of the factor, this algorithm uses the fuzzy algorithmic approach of Theory of Automatic Control to realize Studying factors
Self adaptation dynamically adjusts, it is achieved adjusting in real time automatically of timing information, thus reach this section, mesh that this access connection traffic flow is dredged
's.
8th step: by this section, the data stream analytic statistics in addition at crossing, by 5 minutes, 30 minutes, 60 minutes vehicle flowrates
This intersection annunciator of information currently runs split or timing information sends the semaphore that the present invention relates to association crossing for it
Use；Receive other association crossing simultaneously and the present invention relates to data on flows and the lamp state information that semaphore sends over, the most micro-
Adjust the timing information of this controller；If running into crossing heavy congestion situation, adjusting phase place release manner in real time, entrance is blocked up
The wagon flow in region shields outside this region；
9th step: flow information and crossing, link flow state, current crossing residue red light number of seconds and green light number of seconds are distributed to
Inducible system is for third-party platform or APP software；
Tenth step: idle crossing signals automatic majorization function, once crossing flow is less than setting flow threshold, system start-up timing
Device starts flow low time-out countdown, and countdown is with computation of Period, and more than 2 cycles, system is automatically into low discharge signal lights
Scheduling method, crossing realizes self induction pattern, and system is run and (is traditionally arranged to be the 1/2 of normal cycle, the cycle minimum dispatching cycle
It is about 60 seconds), it is achieved shortened by the crossing vehicle waiting time, reduce the carbon emission amount increased because of waiting.
11st step: semaphore receives crossing vehicle solicited message, analyzing judgement is independently to process or be reported to commander
Center, autonomous processes which kind of request then analyzes be, being provided with white list vehicle in native system (can be by command centre or permission
APP adds, revises and delete) and emergency list (fire alarm, 120 first aids, severe traffic accidents are sued and laboured), once detect this
Class vehicle, semaphore can let pass the signal that correspondence direction arrives, and allows the orderly safety of feature vehicle；
12nd step: continue waiting for receiving the control instruction of command centre.
The present invention will provide the Consumer's Experience of close friend to client, and this device is reliable and stable, it is possible to effective acquisition flow information
And analyzed for this device independently, it is provided to associated apparatus as signal dispatching reference simultaneously.Can Real-time Feedback road
Mouthful traffic or receive fixed request to command centre, is provided that and remains to third-party platform flow the most accurately and signal
Remaining time data.The semaphore that this invention relates to collaborative work each other, is greatly improved traffic flow in system.Whole system
Police strength will be saved for traffic department, make original contribution for society's environmental protection.Semaphore and system that this invention relates to are pacified
Debug examination simple operation, user-friendly use.
Accompanying drawing illustrates:
Fig. 1 is intelligent active traffic signal control device operation principle block diagram；
The intelligent active traffic signal control structure drawing of device of Fig. 2；
Fig. 3 is control method flow chart；
Fig. 4 applied topology of the present invention structure chart；
Fig. 5 hardware configuration；
Fig. 6 software architecture diagram.
Detailed description of the invention:
As shown in Figure 1 and Figure 2, this controller uses hot-swappable module design structure, and master chip uses technical grade multinuclear ARM
Cortex-A9 framework, dominant frequency is up to 800MHz, and technical grade temperature width, when time synchronized uses school, GPS+ Big Dipper dual mode satellite location
Module, supports that Wi-Fi, 3G or 4G Wireless Network, exclusive band certification wireless remote control duties control subsystem, display operation
PDA supports 5/7 technical grade capacitance touch screens；The output of LED large-size screen monitors induction information supported by this controller, and telecommunication flow information is issued
Interface, vehicle accident collection return interface, electronic police, monitoring linkage interface；Traffic flow data sampling interface；Reserved electronics is alert
Examine administrative unit interface.Control method relates to a kind of active flow-control and guidance model, and this model includes following functions mould
Block: in region, saturated traffic flow parameter acquisition module, historical traffic are collected and analyze module, real-time traffic acquisition module, traffic
Stream prediction module, crossing from cooperative module, induction information release module, traffic behavior reporting module, real-time command receiver module,
Network security detection and processing module, system self-adaption scheduler module and signal controller fundamental functional modules.
In Fig. 2, each modular structure and function describe
1 is gps signal receiver module, and SKG17 is GPS module, and MAX3232 is RS232 serial signal output interface chip.
2 is data communication module, and this controller is provided with 2 network communication interfaces, and mixed-media network modules mixed-media 1 uses low-power consumption
LAN8710a network interface chip is used for accessing Wi-Fi data transmission module, and this module selects general module, and it transmits duties control
Signal processed or traffic guidance signal；Mixed-media network modules mixed-media 2 uses technical grade AR8035-AL, onboard standard RJ45 network interface 10/
100M/1000M self adaptation, incoming light ray data network or 3G, 4G wireless network connect equipment, for system control and video counts
According to transmission.
3 is data traffic collection and data I/O module, and this module is made up of flow collection module, CAN interface and I/O interface.
Flow collection module uses STM32F107 processor, supports network and the input of RS485 data, and native system supports that maximum 12 tunnels regard
Frequently flow collection camera unit；The data that CAN interface receives from flow collection module are transmitted to the main place of ARM Cortex-A9
Reason device completes the work such as data analysis；I/O interface is formed the GIO interface of primary processor by two parts and system is expanded by GM8164
The port of exhibition has 64 I/O ports, 32 input ports and 32 output ports altogether, and all input ports all complete isolation with EL817
To guarantee security of system.Vehicle is had no signal to export also by optocoupler EL817 to make car to TTL detection port by 32 output ports
Flow quantity statistics and self induction use.
4 is core cpu module, including i.MX 6QuadPlus series A RM Cortex-A9 embedded multi-core processor, work
Industry level temperature width, it is ensured that the stability of annunciator system；Could support up 12 serial data interfaces, wherein 4 RS485 interfaces, 8
RS232 interface；Supporting band touch screen 8 liquid crystal display screen, touch screen supports capacitance plate and touch screens；Supporting 1 road CAN interface, this connects
Mouth is for the access of vehicle flowrate data acquisition module；1 road SD card interface is used for storing semaphore parameter, supports that hot plug updates letter
Number protocol.
5 are the output of hot-swappable signal and fault Huang dodges device module, this module by signal output module can by Wi-Fi or
The wireless communications mode extensions such as Zigbee, this controller signals light color and countdown signal acquiescence support Wi-Fi mode transmission,
At a distance more than 200 meters.This pattern is without increasing the control model of any complexity, because module carries correction module, wireless
In the case of signal step-out, may be configured as yellow sudden strain of a muscle or continue original cycle, sustained fault dodges pattern more than 3s automatically into Huang.
6 is special special duty's module and PDA wireless handheld screen operating unit, and this unit PDA part mainly realizes semaphore ginseng
Number, special special duty's module is then responsible for receiving simple hand-held remote signal by 433Mhz or 315Mhz wireless module and is realized crossing duty
Business command function.
This controller realizes intelligence and actively controls the traffic flow in management and control region, processes mould including advanced flow collection
Block, composite communication transport module, extension system access module, induction information output module, active analysis integrated treatment module, net
Network secure processing module and the Signalized control of semaphore indispensability, countdown control, Lane use control functional module.
This controller will provide the Consumer's Experience of close friend to client, and this device is reliable and stable, it is possible to effective acquisition flow is believed
Breath is also analyzed for this device independently, is provided to associated apparatus as signal dispatching reference simultaneously.Can Real-time Feedback
Crossing traffic situation or receive fixed request to command centre, is provided that to third-party platform flow and signal the most accurately
Remaining time data.The semaphore that this controller relates to collaborative work each other, is greatly improved traffic flow in system.Whole
System will save police strength for traffic department, make original contribution for society's environmental protection.Semaphore that this invention relates to and be
System installation and debugging simple operation, user-friendly use.
As it is shown on figure 3, its innovation of control method that this patent relates to is first to build the city friendship merging many algorithms
Through-flow forecast model and assignment of traffic Controlling model, then on the basis of Controlling model, history in first input area before issuing
Flow information is trained, and then opens crossing flow real time input data interface, join domain network, forms organic autonomous control
The signal of system controls and induction issue system, and this system is reserved with command centre and controls interface, communication protocol module support module
Heavy duty intercalation model, compatible various protocols platform, slitless connection can be realized with center comprehensive platform.
Urban traffic flow forecast model that patent of the present invention relates to and assignment of traffic Controlling model, based on nearest 12 monthly calendars
History vehicle flowrate, pedestrian, bicycle flow information, divide the period, it is determined whether needs canalization wagon flow, distributes track, calculates base
Plinth split completes basis timing；Using and optimize Short-time Traffic Flow Forecasting Methods vehicle flowrate situation in short-term in prediction future, reference changes
Entering the related algorithm principles such as type particle optimized algorithm, creatively merge the advantage of above-mentioned each algorithm, formed in the present invention is pre-
Survey and control algolithm.Concrete crossing is implemented, volume forecasting is as follows with traffic signalization process:
1. the section comprised in statistical regions and crossing, according to crossing distribution arrange key crossing, edge key crossing and
Core section.Wherein, key crossing is regional center position, and four direction flow is the biggest, circumferential distribution have hospital,
Market or the crossing of government bodies' unit；Edge key crossing refers to that tide flow stream significantly enters intersection, city；Core road
Section refers to the section that traffic flow is intensive.The semaphore that the present invention relates to can collect flow information in being installed to crossing, region automatically,
Distinguish key crossing, edge key crossing and core section.
2. input area section and crossing history motor vehicle flow half an hour, 1 hour statistic flow in 12 months in the past, should
Part can use history to gather flow, it is also possible to is automatically collected by the semaphore being installed in region；
3. analysis of history car flow information, accordingly division signals scheduled basis period, this part is related to semaphore according to stream by patent
Amount situation of change, lane occupancy ratio situation have automatically analyzed；
4. statistics turn left, keep straight on, history of turning right wagon flow situation, distribute all directions number of track-lines, and according to turn right, left-hand rotation, straightgoing vehicle
Traffic conditions determines enforcement canalization scheme, distributes track；
5. using Webster algorithm to calculate basis timing, comprehensive conflict point control method adjusts timing parameter, eventually forms crossing
Send timing scheme；
6. trail run obtains current real-time flows amount, uses time slip-window Time Series Forecasting Methods, in conjunction with Data fusion technique
Realize the prediction to next cycle wagon flow；
7. according to forecast model generate vehicle flowrate data, use optimize particle model, use adjust particle model learning because of
The adaptive learning factor floating algorithm of son, this algorithm uses the fuzzy algorithmic approach of Theory of Automatic Control to realize the adaptive of Studying factors
Should dynamically adjust, it is achieved adjusting in real time automatically of timing information, thus reach this section, purpose that this access connection traffic flow is dredged.
8. by this section, the data stream in addition analytic statistics at crossing, by 5 minutes, 30 minutes, 60 minutes information of vehicle flowrate this
Intersection annunciator currently runs split or timing information sends the semaphore that the present invention relates to association crossing for it；With
Time receive other association crossing and the present invention relates to data on flows and the lamp state information that semaphore sends over, finely tune this control in good time
The timing information of device；If running into crossing heavy congestion situation, adjusting phase place release manner in real time, the car of congestion regions will be entered
Stream shielding is outside this region；
9. flow information and crossing, link flow state, current crossing residue red light number of seconds and green light number of seconds are distributed to induction
System is for third-party platform or APP software；
10. idle crossing signals automatic majorization function, once crossing flow is less than setting flow threshold, and system start-up intervalometer is opened
The low time-out countdown of beginning flow, countdown is with computation of Period, and more than 2 cycles, system is dispatched automatically into low discharge signal lights
Pattern, crossing realizes self induction pattern, and system runs minimum dispatching cycle, and (being traditionally arranged to be the 1/2 of normal cycle, the cycle is about
60 seconds), it is achieved shortened by the crossing vehicle waiting time, reduce the carbon emission amount increased because of waiting.
11. semaphores receive crossing vehicle solicited message, and analyzing judgement is independently to process or be reported to command centre, from
It is that main process is then analyzed for which kind of request, is provided with white list vehicle and (can be added by the APP of command centre or permission in native system
Add, revise and delete) and emergency list (fire alarm, 120 first aids, severe traffic accidents are sued and laboured), such car once detected
, semaphore can be let pass the signal that correspondence direction arrives, and allows the orderly safety of feature vehicle；
Continue waiting for receiving the control instruction of command centre.
The control method that this patent relates to can implement function such as:
1. active area flow tracking and issue
The most active intersection signal control adjusts and reports
3. come in and go out city congestion analysis and dredge
4. actively crossing state is issued
5. active obtaining crossing vehicle demand
6. crossing lamp state scheduling idle optimization
As shown in Figure 4, patent of the present invention application is controlled and system for traffic guiding by municipal intelligent traffic signal, during system is by commanding
The heart, induction information issue APP interface, controller of the present invention three part composition.Command centre passes through fiber optic network Wi-Fi/3G/4G
Network contacts with this intelligent active traffic signal control, and the controller owing to the present invention relates to is a relatively independent master
Body, associates in region and can mutually exchange motor vehicle flow, pedestrian's data on flows and traffic in feasible region between fixed controller
Flowable state balances；Signal controller involved in the present invention can actively send induction information to induce interface, it is also possible to reception from
The information inquiry of induction APP interface；Induction information is according to section in region and crossing traffic stream information real-time update, to driver
There is provided effective with vehicle supervision department, meet induction prompting and the decision data of anticipated demand.Controller carries on display
Also/the information such as unimpeded of blocking up of correspondence can be shown.The innovation of native system is while receiving command centre's control to fill
The active feature of the intelligent active traffic signal control of the present invention is waved in distribution, is automatically performed traffic flow spontaneous recovery merit in region
Can, coordinate each section, the traffic flow at each crossing is dredged；Semaphore has data acquisition interface based on Wi-Fi and obtains through car
APP request；Actively connect traffic guidance interface platform and report crossing state；Push crossing status information to guidance information
APP interface and command centre；When supporting special duties task, police service vehicle information reporting function.
Such as Fig. 5, Fig. 6, system scheduling module, it is responsible for the collaborative work of each module of system, rational allocation system resource.
Data are transmitted, and by RJ-45 and RS-232 data-interface, use fiber optic network/3G/4G communication module amendment system
Parameter or upload the dependent instruction assigning command centre.
GPS information processing module, obtains GPS relevant information, extracts the time related information that this device needs.
Flow collection and pretreatment module, by video car flow amount server, microwave traffic flow detector, earth induction wagon flow
The vehicle flowrate data message of amount detector output, accesses vehicle Flow Detection by RS-485 serial line interface or RJ-45 network interface
Service module carries out pretreatment through CAN transmission to primary processor ARM Cortex-A9 embedded multi-core processor.
System configuration module, configuration signal controller essential information, general packet network parameter, serial communication interface parameter,
System signal output board parameter, count-down device parameter, period essential information etc..
According to historical traffic and present flow rate, flow analysis and prediction, predict that following short-term traffic flow information is supplied to actively
Formula signal coordinating and control module.
Active signal is coordinated and is controlled, and receives the information provided from flow analysis prediction module, basic according to system
Parameter is set and according to active control algolithm automatic synchronization and controls transport information.
Induction information processes and output, the data letter provided with control module with prediction module and coordination according to flow analysis
Breath, generates crossing induction information and exports to our company's special LED large-size screen monitors, Lane use control module and area to be transferred control module.
Crossing wagon flow and signal condition feedback, the number provided with control module with prediction module and coordination according to flow analysis
It is believed that breath, synthesis section, crossing vehicle flowrate, signal condition feed back to command centre or third party APP interface software.
Crossing duties or special car request service, receive crossing duties instruction, command centre's instruction, and key of the present invention can
Receive crossing special vehicle APP spy and take request, dispatch current belisha beacon instruction state and state is submitted to crossing wagon flow
With signal condition feedback module for command centre or third party's APP software.
Claims (7)
1. an intelligent active traffic signal control, it is characterised in that it is by core cpu module, including i.MX
6QuadPlus series A RM Cortex-A9 embedded multi-core processor connects gps signal receiver module, data communication mould respectively
Block, data traffic collection and data I/O module, hot-swappable signal output and fault Huang dodge device module, special special duty's module and
PDA wireless handheld screen operating unit is constituted.
2. a kind of intelligent active traffic signal control as claimed in claim 1, it is characterised in that described gps signal
Receiver module, GPS module be model be SKG17 chip, it by SKG17 chip connect MAX3232 interface constitute, MAX3232 connects
Mouth is RS232 serial signal output interface chip.
3. a kind of intelligent active traffic signal control as claimed in claim 1, it is characterised in that described data are led to
Letter module is connected 2 network communication interfaces by Wi-Fi data transmission module, reconnection 3G, 4G wireless network module is constituted, described
2 network communication interfaces, wherein mixed-media network modules mixed-media 1 uses low-power consumption LAN8710a network interface chip for accessing Wi-Fi data
Transport module, this module selects general module, its transmission duties control signal or traffic guidance signal；Mixed-media network modules mixed-media 2 uses work
Industry level AR8035-AL, onboard standard RJ45 network interface 10/100M/1000M self adaptation, incoming light ray data network or 3G, 4G
Wireless network connects equipment, for system control and video data transmission.
4. a kind of intelligent active traffic signal control as claimed in claim 1, it is characterised in that described data traffic
Gathering and data I/O module, described module has flow collection module, CAN interface to become with I/O interface；Flow collection module uses
STM32F107 processor, supports network and the input of RS485 data, and native system supports maximum 12 road video flow acquisition camera
Unit；The data transmission that CAN interface receives from flow collection module completes data analysis to ARM Cortex-A9 primary processor
Work；The port that I/O interface is formed the GIO interface of primary processor by two parts and system is extended by GM8164 has 64 IO altogether
Mouthful, 32 input ports and 32 output ports, all input ports all complete isolation to guarantee security of system with EL817；32
Individual output port also by optocoupler EL817 vehicle had no signal export to TTL detection port make vehicle flowrate quantity statistics and from
Sensing uses.
5. a kind of intelligent active traffic signal control as claimed in claim 1, it is characterised in that described hot-swappable
Signal output and fault Huang dodge device module, and this module by signal output module can be by wireless communications modes such as Wi-Fi or Zigbee
Extension, it is connected yellow controller, light color output and the countdown signaling module of dodging respectively and constitutes by chip 65HVD3082.
6. a kind of intelligent active traffic signal control as claimed in claim 1, it is characterised in that described special special duty
Module and PDA wireless handheld screen operating unit, this unit PDA part realizes semaphore parameter, and special special duty's module is then responsible for logical
Cross the simple hand-held remote signal of 433Mhz or 315Mhz wireless module reception and realize crossing duties command function.
The control method of a kind of intelligent active traffic signal control the most as claimed in claim 1, it is characterised in that this
First method builds urban traffic flow forecast model and the assignment of traffic Controlling model merging many algorithms, then at Controlling model
On the basis of, before issuing, in first input area, historical traffic information is trained, and then opens crossing flow real time input data
Interface, join domain network, the signal forming organic Autonomous Control controls and induction issue system, and this system is reserved with in commander
Heart control interface, communication protocol module support module heavy duty intercalation model, compatible various protocols platform, can be with center comprehensive platform
Realize slitless connection；
The concrete rate-determining steps of control method is as follows:
The first step: the section comprised in statistical regions and crossing, arranges key crossing, edge critical path according to crossing distribution
Mouth and core section；Wherein, key crossing is regional center position, and four direction flow is the biggest, and circumferential distribution has
Hospital, market or the crossing of government bodies' unit；Edge key crossing refers to that tide flow stream significantly enters intersection, city；Core
Wit section refers to the section that traffic flow is intensive；The semaphore that the present invention relates to can collect flow letter in being installed to crossing, region automatically
Breath, distinguishes key crossing, edge key crossing and core section；
Second step: input area section and crossing history motor vehicle flow half an hour, 1 hour statistic flow in 12 months in the past,
This part can use history to gather flow, it is also possible to is automatically collected by the semaphore being installed in region；
3rd step: analysis of history car flow information, accordingly division signals scheduled basis period, this part is related to semaphore root by patent
Automatically analyze according to changes in flow rate situation, lane occupancy ratio situation；
4th step: statistics is turned left, kept straight on, history of turning right wagon flow situation, distributes all directions number of track-lines, and according to turning right, turning left, directly
Driving traffic conditions determines enforcement canalization scheme, distributes track；
5th step: using Webster algorithm to calculate basis timing, comprehensive conflict point control method adjusts timing parameter, last shape
Crossing is become to send timing scheme；
6th step: trail run obtains current real-time flows amount, uses time slip-window Time Series Forecasting Methods, in conjunction with data fusion
Technology realizes the prediction to next cycle wagon flow；
7th step: the vehicle flowrate data generated according to forecast model, uses and optimizes particle model, uses and adjusts particle model middle school
Practising the adaptive learning factor floating algorithm of the factor, this algorithm uses the fuzzy algorithmic approach of Theory of Automatic Control to realize Studying factors
Self adaptation dynamically adjusts, it is achieved adjusting in real time automatically of timing information, thus reach this section, mesh that this access connection traffic flow is dredged
's；
8th step: by this section, the data stream analytic statistics in addition at crossing, by 5 minutes, 30 minutes, 60 minutes information of vehicle flowrate
This intersection annunciator currently runs split or timing information sends the semaphore that the present invention relates to association crossing for it；
Receive other association crossing simultaneously and the present invention relates to data on flows and the lamp state information that semaphore sends over, finely tune this control in good time
The timing information of device processed；If running into crossing heavy congestion situation, adjusting phase place release manner in real time, congestion regions will be entered
Wagon flow shields outside this region；
9th step: flow information and crossing, link flow state, current crossing residue red light number of seconds and green light number of seconds are distributed to
Inducible system is for third-party platform or APP software；
Tenth step: idle crossing signals automatic majorization function, once crossing flow is less than setting flow threshold, system start-up timing
Device starts flow low time-out countdown, and countdown is with computation of Period, and more than 2 cycles, system is automatically into low discharge signal lights
Scheduling method, crossing realizes self induction pattern, and system is run and (is traditionally arranged to be the 1/2 of normal cycle, the cycle minimum dispatching cycle
It is about 60 seconds), it is achieved shortened by the crossing vehicle waiting time, reduce the carbon emission amount increased because of waiting；
11st step: semaphore receives crossing vehicle solicited message, analyzing judgement is independently to process or be reported to command centre,
It is that autonomous process is then analyzed for which kind of request, is provided with white list vehicle and (can be added by the APP of command centre or permission in native system
Add, revise and delete) and emergency list (fire alarm, 120 first aids, severe traffic accidents are sued and laboured), such car once detected
, semaphore can be let pass the signal that correspondence direction arrives, and allows the orderly safety of feature vehicle；
12nd step: continue waiting for receiving the control instruction of command centre.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN201465303U (en) * | 2009-06-25 | 2010-05-12 | 杭州普乐科技有限公司 | Solar traffic signal machine crossing control system with infrared communication interface |
| US20110043378A1 (en) * | 2008-02-06 | 2011-02-24 | Hatton Traffic Management Ltd | Traffic control system |
| US20120326890A1 (en) * | 2011-06-27 | 2012-12-27 | Brad Cross | Signal Light Priority System Utilizing Estimated Time of Arrival |
| CN203204843U (en) * | 2013-04-24 | 2013-09-18 | 杭州普乐科技有限公司 | Wireless handheld traffic signal secret service control device |
| CN203759877U (en) * | 2014-03-18 | 2014-08-06 | 西安翔迅科技有限责任公司 | Network type intelligent traffic signal controller |
-
2016
- 2016-08-04 CN CN201610633191.4A patent/CN106056934B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20110043378A1 (en) * | 2008-02-06 | 2011-02-24 | Hatton Traffic Management Ltd | Traffic control system |
| CN201465303U (en) * | 2009-06-25 | 2010-05-12 | 杭州普乐科技有限公司 | Solar traffic signal machine crossing control system with infrared communication interface |
| US20120326890A1 (en) * | 2011-06-27 | 2012-12-27 | Brad Cross | Signal Light Priority System Utilizing Estimated Time of Arrival |
| CN203204843U (en) * | 2013-04-24 | 2013-09-18 | 杭州普乐科技有限公司 | Wireless handheld traffic signal secret service control device |
| CN203759877U (en) * | 2014-03-18 | 2014-08-06 | 西安翔迅科技有限责任公司 | Network type intelligent traffic signal controller |
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