CN106960584B - A kind of traffic control method and device of adaptive crossroad traffic signal lamp - Google Patents
A kind of traffic control method and device of adaptive crossroad traffic signal lamp Download PDFInfo
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Abstract
The invention discloses the traffic control methods and device of a kind of adaptive crossroad traffic signal lamp, method includes the following steps: step 1: the vehicle fleet size on each lane of real-time reception；Step 2: according to the vehicle fleet size on each lane, calculating the passage coefficient in each lane on current crossing, according to the passage coefficient magnitude and combination phase conflicts principle in each lane, determine the current sequence of current crossing phase；Step 3: the vehicle fleet size in lane is corresponded to according to the vehicle fleet size in lane in clearance phase and next crossing, the green time of phase where determining each lane successively determines the green time of each combinatorial phase, implement traffic control according to the current sequence of phase；The lasting accumulation of congestion can be slowed down under supersaturated traffic behavior, and preferentially evacuate the wagon flow in congestion direction, the extension of congestion has been effectively relieved, and can also effectively improve green time utilization rate in unsaturated state.
Description
Technical field
The invention belongs to traffic signalization field, in particular to a kind of traffic control of adaptive crossroad traffic signal lamp
Method and device.
Background technique
The Area Traffic Control System with good operational effect having now been developed in the world at present is seldom, including
Including TRANSYT, SCOOT, SCATS, it is concentrated mainly on a small number of developed countries such as Britain, the U.S., Australia.These traffic controls
System processed can obtain preferable operational effect, but not perfect, the pedestrian in urban road of domestic relevant traffic regulation in foreign countries
Vehicle cannot be well adapted for the current situation of traffic in China city often in uncontrollable hybrid state, external system,
The implementation result of the country is simultaneously imperfect.
In recent decades, artificial intelligence, theory of optimal control etc. apply in traffic zone coordinated control, obtain certain
Research achievement.But this kind of control method be applied in theory mature perfect road traffic system have it is relatively good
Effect, but for the actual road conditions in most cities, the control facility that these methods use is more, and system parameter input is more,
Practice cost is excessively high, and algorithm complexity is high, it is difficult to the variation of real-time response traffic flow.Such algorithm is in engineering reality
It is excessively complicated in, the requirement of engineering of actual traffic optimal control cannot be met well.
In the traffic control optimization of intersection, the mode of single spot optimization and the green wave control of main line is mostly used at present, it is above
Control mode has certain effect to the traffic optimization on some direction on some part or main line, but is difficult to promote road network entirety
Traffic efficiency, the case where particularly with the supersaturated magnitude of traffic flow, only considered local optimization may aggravate the feelings of traffic congestion
Condition.
Summary of the invention
The present invention provides the traffic control methods and device of a kind of adaptive crossroad traffic signal lamp, it is intended that
Overcome the problems, such as that road network entirety traffic efficiency is not high in the prior art.
A kind of traffic control method of adaptive crossroad traffic signal lamp, comprising the following steps:
Step 1: the vehicle fleet size on the current crossing of real-time reception and the adjacent lane next crossing Shang Ge；
Step 2: according to the vehicle fleet size on each lane, the passage coefficient in each lane on current crossing is calculated, according to each
The passage coefficient magnitude in lane simultaneously combines phase conflicts principle, determines the current sequence of current crossing phase；
Step 3: corresponding to the vehicle fleet size in lane according to the vehicle fleet size in lane in clearance phase and next crossing, determine every
The green time of phase where a lane successively determines the green time of each combinatorial phase according to the current sequence of phase, implements to hand over
Logical control；
Wherein, the passage coefficient in the lane current crossing Shang Ge is p:p=N × ((1-o)+e)；N indicates that current crossing is got on the bus
The queuing vehicle quantity in road, o indicate the lane occupancy ratio in same sex lane on next crossing adjacent with current road junction roadway, e table
Show lane green wave band coefficient；
NXVehicle number on expression next crossing adjacent with current road junction roadway on same sex lane
Amount, d indicate the average length of vehicle, and g indicates that the average spacing between vehicle, L indicate lane length.
Lane refers to the connatural lane of same direction, if it exists multiple same sexes and when runway, on multiple lanes
For vehicle fleet size average value as the vehicle fleet size on current lane, phase refers to the phase in only one clearance direction, lane and phase
Position is that correspondingly, combinatorial phase is the phase combination that single direction is let pass.
Further, the lane green time is t:
T=tSULT+NT×H
Wherein, tSULTIt indicates after becoming green light from red light, the time that vehicle launch is delayed, when H indicates saturation headstock
Away from, refer to vehicle in the case where being saturated traffic behavior, vehicle by vehicle length and convoy spacing apart from when required time；
NTIndicate the vehicle fleet size that plan of the corresponding phase of current lane in green time is let pass, NT=min (mque+
marr,macc)；
mqueIndicate the queuing vehicle quantity of current lane, marrThe vehicle that may be reached during indicating current lane green light,
Vehicle arriving amt according to a upper period estimated, maccIndicate the same sex corresponding with current lane lane on next crossing
Admissible vehicle fleet size,
Further, the vehicle m that may be reached during the green lightarr:
Wherein, t0For initial green light time, t0=tSULT+N0× H, N0For the vehicle number m being likely to be breached during setting green lightarr
The initial clearance vehicle fleet size obtained when=0, N0=min (mque,macc)；tredFor a red time length before current lane,
N indicates the vehicle fleet size reached in a preceding red time on current lane.
Further, the determination process of the green time of each current phase is as follows:
Step C0: calculating the passage coefficient of all phases, and be ranked up according to descending sequence, obtains phase row
Sequence queue；
Step C1 chooses the current maximum phase of coefficient as master phase M according to the current sequence of phase, meanwhile, from phase
In round-robin queue, select with master phase M matched two matched-phases Q1 and Q2, obtain combinatorial phase (M, Q1) and (M, Q2)；
Step C2, the biggish phase of lane coefficient is corresponded to using in matched-phase Q1 and Q2 as time phase Q, another
Alternately secondary phase Q ' calculates the difference (T of the lane green time where master phase M and time phaseM-TQ), if (TM-TQ) small
In defined minimum green time, then C2.1 is entered step, C2.2 is otherwise entered step；
Step C2.1 enables combinatorial phase green light let pass time T equal to TM, phase M and phase Q time of letting pass jointly are T, and
Phase M and phase Q are removed into out sequencing queue, enter step C3；
Step C2.2 enables combinatorial phase green light let pass time T equal to TQ, phase M and phase Q time of letting pass jointly are T, into
Enter step C2.3；
Step C2.3 calculates the green time T of alternative phase Q 'Q', by TMWith the difference (T of T in C2.2M- T) and TQ’
It compares, takes the larger value max ((TM- T), TQ') as combinatorial phase green light clearance time T ', phase M and phase Q ' are put jointly
The time span of row T ', and by M, Q, Q ' removal phase sequencing queue, enter step C3；
Step C3: judge whether lane phase sequencing queue is sky, and if it is empty, return step C0 restarts entirely to follow
Ring；If not empty, then the passage coefficient of all phases is recalculated, and the phase in current phase sequencing queue is carried out again
Sequence, returns again to step C1.
A kind of traffic control device of adaptive crossroad traffic signal lamp, comprising:
Receiving module, the traffic data for real-time reception from car-mounted terminal and crossing traffic signal pickup assembly；
Processing module for calculating the passage coefficient of each lane corresponding phase, and combines current phase principle, determines traffic
The current sequence of signal lamp and time；
Self-adaptive control module, the current sequence of the traffic lights for obtaining according to the processing module and time are raw
Traffic lights are controlled at the auto-adaptive controling signal of traffic lights, and based on the auto-adaptive controling signal.
Further, the processing module includes data capture unit, computing unit and allocation unit；
The data capture unit, for obtaining each lane from the traffic data acquired in receiving module in current phase
On vehicle fleet size；
The computing unit obtains the passage coefficient of each lane corresponding phase for the vehicle data according to each lane；
The allocation unit, for being led to according to the passage coefficient of each phase in lane to each phase in unit period
The distribution of row sequence and transit time.
Beneficial effect
The present invention provides the traffic control method and device of a kind of adaptive crossroad traffic signal lamp, this method include with
Lower step: step 1: the vehicle fleet size on the current crossing of real-time reception and the adjacent lane next crossing Shang Ge；Step 2: foundation
Vehicle fleet size on each lane calculates the passage coefficient in each lane on current crossing, the passage coefficient magnitude according to each lane
And phase conflicts principle is combined, determine the current sequence of current crossing phase；Step 3: the vehicle number according to lane in clearance phase
Amount corresponds to the vehicle fleet size in lane with next crossing, the green time of phase where determining each lane, suitable according to phase passage
Sequence successively determines the green time of each combinatorial phase, implements traffic control；Using the vehicle fleet size on lane, and calculate each vehicle
The passage coefficient of road corresponding phase generates the traffic control scheme at current crossing, can slow down under supersaturated traffic behavior and gather around
Stifled lasting accumulation, and the wagon flow in congestion direction is preferentially evacuated, the extension of congestion has been effectively relieved.Also can in unsaturated state
Enough effectively improve green time utilization rate.
Detailed description of the invention
Fig. 1 is phase twin nuclei schematic diagram；
Fig. 2 is the flow diagram of the method for the invention；
Fig. 3 is the topological structure schematic diagram for emulating road network；
Fig. 4 is the lower maximum queue length contrast schematic diagram of supersaturation；
Fig. 5 is the lower averagely queue length schematic diagram of supersaturation；
Fig. 6 is journey time schematic diagram.
Specific embodiment
Below in conjunction with attached drawing and example, the present invention is described further.
As shown in Fig. 2, a kind of traffic control method of adaptive crossroad traffic signal lamp, comprising the following steps:
Step 1: the vehicle fleet size on the current crossing of real-time reception and the adjacent lane next crossing Shang Ge；
Step 2: according to the vehicle fleet size on each lane, the passage coefficient in each lane on current crossing is calculated, according to each
The passage coefficient magnitude in lane simultaneously combines phase conflicts principle, determines the current sequence of current crossing phase；
Phase conflicts principle is obtained from the phase twin nuclei schematic diagram in Fig. 1.
Step 3: corresponding to the vehicle fleet size in lane according to the vehicle fleet size in lane in clearance phase and next crossing, determine every
The green time of phase where a lane successively determines the green time of each combinatorial phase according to the current sequence of phase, implements to hand over
Logical control；
Wherein, the passage coefficient in the lane current crossing Shang Ge is p:p=N × ((1-o)+e)；N indicates that current crossing is got on the bus
The queuing vehicle quantity in road, o indicate the lane occupancy ratio in same sex lane on next crossing adjacent with current road junction roadway, e table
Show lane green wave band coefficient；
NXVehicle number on expression next crossing adjacent with current road junction roadway on same sex lane
Amount, d indicate the average length of vehicle, and g indicates that the average spacing between vehicle, L indicate lane length.
Lane refers to the connatural lane of same direction, if it exists multiple same sexes and when runway, on multiple lanes
For vehicle fleet size average value as the vehicle fleet size on current lane, phase refers to the phase in only one clearance direction, lane and phase
Position is that correspondingly, combinatorial phase is the phase combination that single direction is let pass.
The lane green time is t:
T=tSULT+NT×H
Wherein, tSULTIt indicates after becoming green light from red light, the time that vehicle launch is delayed, when H indicates saturation headstock
Away from, refer to vehicle in the case where being saturated traffic behavior, vehicle by vehicle length and convoy spacing apart from when required time；
NTIndicate the vehicle fleet size that plan of the corresponding phase of current lane in green time is let pass, NT=min (mque+
marr,macc)；
mqueIndicate the queuing vehicle quantity of current lane, marrThe vehicle that may be reached during indicating current lane green light,
Vehicle arriving amt according to a upper period estimated, maccIndicate the same sex corresponding with current lane lane on next crossing
Admissible vehicle fleet size,
Further, the vehicle m that may be reached during the green lightarr:
Wherein, t0For initial green light time, t0=tSULT+N0× H, N0For the vehicle number m being likely to be breached during setting green lightarr
The initial clearance vehicle fleet size obtained when=0, N0=min (mque,macc)；tredFor a red time length before current lane,
N indicates the vehicle fleet size reached in a preceding red time on current lane.
The determination process of the green time of each current phase is as follows:
Step C0: calculating the passage coefficient of all phases, and be ranked up according to descending sequence, obtains phase row
Sequence queue；
Step C1 chooses the current maximum phase of coefficient as master phase M according to the current sequence of phase, meanwhile, from phase
In round-robin queue, select with master phase M matched two matched-phases Q1 and Q2, obtain combinatorial phase (M, Q1) and (M, Q2)；
Step C2, the biggish phase of lane coefficient is corresponded to using in matched-phase Q1 and Q2 as time phase Q, another
Alternately secondary phase Q ' calculates the difference (T of the lane green time where master phase M and time phaseM-TQ), if (TM-TQ) small
In defined minimum green time, then C2.1 is entered step, C2.2 is otherwise entered step；
Step C2.1 enables combinatorial phase green light let pass time T equal to TM, phase M and phase Q time of letting pass jointly are T, and
Phase M and phase Q are removed into out sequencing queue, enter step C3；
Step C2.2 enables combinatorial phase green light let pass time T equal to TQ, phase M and phase Q time of letting pass jointly are T, into
Enter step C2.3；
Step C2.3 calculates the green time T of alternative phase Q 'Q', by TMWith the difference (T of T in C2.2M- T) and TQ’
It compares, takes the larger value max ((TM- T), TQ') as combinatorial phase green light clearance time T ', phase M and phase Q ' are put jointly
The time span of row T ', and by M, Q, Q ' removal phase sequencing queue, enter step C3；
Step C3: judge whether lane phase sequencing queue is sky, and if it is empty, return step C0 restarts entirely to follow
Ring；If not empty, then the passage coefficient of all phases is recalculated, and the phase in current phase sequencing queue is carried out again
Sequence, returns again to step C1.
A kind of traffic control device of adaptive crossroad traffic signal lamp, comprising:
Receiving module, the traffic data for real-time reception from car-mounted terminal and crossing traffic signal pickup assembly；
Processing module for calculating the passage coefficient of each lane corresponding phase, and combines current phase principle, determines traffic
The current sequence of signal lamp and time；
Self-adaptive control module, the current sequence of the traffic lights for obtaining according to the processing module and time are raw
Traffic lights are controlled at the auto-adaptive controling signal of traffic lights, and based on the auto-adaptive controling signal.
Further, the processing module includes data capture unit, computing unit and allocation unit；
The data capture unit, for obtaining each lane from the traffic data acquired in receiving module in current phase
On vehicle fleet size；
The computing unit obtains the passage coefficient of each lane corresponding phase for the vehicle data according to each lane；
The allocation unit, for being led to according to the passage coefficient of each phase in lane to each phase in unit period
The distribution of row sequence and transit time.
Example one
With road network shown in Fig. 3 for example, being equipped with crossing A, crossing is B downstream, and A to B is straight trip.Between AB away from
From being 200 meters, waiting the vehicle number from A to B is 20, currently has 10 vehicles, the crossing B vehicle on the Through Lane of A to B
Currently corresponding signal lamp is green in road, and remaining time is 30 seconds (tgreen=30s).If average speed is 10 meters when normally travel
(v per secondavg=10m/s), average length of car is 4.5 meters (d=4.5m), and it is 2 meters (g=2m) that average traffic, which is lined up spacing,.
The green wave band coefficient kept straight on to the crossing B at the crossing A is calculated first, by formulaMeter
It calculates,
Calculate the crossing A to the crossing B Through Lane lane occupancy ratio, by formulaIt calculates,
The key coefficient for calculating crossing A to crossing B straight trip phase, is calculated by formula p=N × ((1-o)+e),
P=20 × ((1-0.325)+0.5)=23.5.That is the key coefficient of crossing A to crossing B straight trip phase.
The key coefficient calculation method of other phases is identical.
According to the phase that the sequence of the key coefficient of all phases and previous cycle had been let pass, next stage is determined
Two phases let pass.Clearance phase is determined according to algorithm flow.
After determining clearance phase, clearance green time is calculated.
Illustrate the calculation method of green time below.
If the signal lamp red light duration in the crossing A to the crossing B straight trip direction is 40 seconds (tred=40s), during red light into
Entering the crossing A waits vehicle of the straight trip to the crossing B to have 5, if saturation headway is 2.2 seconds each cars (H=2.2s/veh), opens
Dynamic delay is 5 seconds (tSULT=5s)
Estimate the crossing A to the crossing B the open ended vehicle fleet size of Through Lane, be by formulaIt calculates,Initial clearance vehicle fleet size is by formula N=min (mque+marr,macc) calculate, this
When set the vehicle fleet size that may be reached during green light as 0 (marr=0) and N0=min (20+0,20.77)=20, it is initial to let pass
Vehicle number is 20.
Initial clearance green time is by formula t0=tSULT+N0× H is calculated, t0=5s+20 × 2.2s=49s.
The vehicle fleet size that may be reached during estimating green lightThen according to public affairs
Formula N=min (mque+marr,macc) calculate the vehicle fleet size to be let pass of determination, N=min (20+6.125,20.77)=20.77.
Finally by formula t=tSULT+ N × H calculates determining green time t=5s+20.77 × 2.2s=50.694s, and four
House five enter green time be 51 seconds.
The method for illustrating to distribute clearance phase green time as an example below.If minimum green time is 15 seconds (Tmni=
15s)。
In step C1, being located at the phase that in sequencing queue and key coefficient ranked first is [south to north straight trip], then with
Matched secondary phase be [south turn left to west] and [north to south straight trip].If the two time phase is all located in sequencing queue, and
The key coefficient of the key coefficient ratio [north to south straight trip] of [turning left to west in south] is big.Then master phase M is [south to north straight trip], secondary phase
Position Q is [turning left to west in south], and another secondary phase Q ' is [north to south straight trip].
By step C2, for example, calculated 50 seconds (T of master phase M green timeM=50s), secondary phase Q green time is
30 seconds (TQ=30s), TM-TQ=50s30-20s=s < 15nTim=s is obtained, should carry out step C2.2, master phase M in next step
Clearance green time is 30 seconds (T=T jointly with secondary phase QQ=30s), step C2.3 is arrived after 30 seconds, clearance phase is main phase
Position M and another secondary phase Q ', if being at this time 25 seconds (T according to the clearance green time of the calculated Q ' of green time calculation methodQ'
=25s), by the formula T'=max (T in step C2.3M-T,TQ') T'=max (50s-30s, 25s)=25s is calculated, it will
M, Q, Q ' sequencing queue is removed out, and master phase M and another secondary phase Q ' are let pass 15 seconds.Step C3 is carried out after 15 seconds, is sentenced
Whether disconnected sequencing queue is sky, if it is sky, restarts new round circulation to step C0, if being not sky, arrives step C1.
Emulation testing is carried out using the VISSIM traffic simulation software of German PTV company, and is programmed by the COM of VISSIM
Interface connects Microsoft .net development platform and carries out control algorithm design and exploitation.
For the interaction for fully considering intersection group, the emulation road network of design one, Fig. 3 merely illustrates emulation road network
The road of topological structure, actual emulation road network is arranged and does not have such high symmetry.Wagon flow is driven into from road network surrounding, root
Different vehicle flowrates are designed according to different traffic to be emulated.Flow design includes supersaturation, low saturation and in short-term peak stream
Three kinds of amount.It is 5 seconds that the start-up lost time time, which is arranged, and saturation headway is 2.2s/veh (veh :), and minimum green time is arranged
It is 15 seconds, maximum green time is 60 seconds, and other parameters use VISSIM default setting.
When evaluating crossing, the evaluation data at 1,2,3, No. 4 four crossing are chosen.Simulation time is 0-4200 seconds,
Vehicle needs a period of time to enter road network when VISSIM emulation starts, it is difficult to accurate simulation actual conditions, so 0-600 seconds are commenting
Do not consider when valence, with 600 seconds for statistics time interval.Emulation basic parameter is VISSIM default setting.
It is provided with queue length detector at each crossing when emulating herein, and chooses upper left corner S point for detection starting point, at random
Choosing tetra- points of A, B, C, D is detection terminal, required when arriving separately at four terminals from the vehicle of S point for detecting
Journey time.Adaptive algorithm is evaluated to the control effect of congestion with this, and join for main evaluation index with queue length herein
According to journey time parser to the promotion effect of whole road network operational efficiency.
Traffic Evaluation in supersaturated situation
The link entry flow being arranged in supersaturated situation is 800, is maximum under fixed timing and self adaptive control below
Queue length, the comparison of average queue length are as shown in Figure 4 and Figure 5 respectively.It is lined up in situation map, abscissa is simulation time
Section has the data queued at 1,2,3,4 four crossing, similarly hereinafter respectively in each period.
The effect of optimization of adaptive algorithm is investigated according to emulation period and crossing respectively, period effect of optimization refers to specific time period
Under, the queue length effect of optimization average value at four crossings, crossing effect of optimization refers to that the effect of optimization of the crossing all periods is flat
Mean value.
The supersaturated effect of optimization of lower queue length period (%) of table 1
2 supersaturation of table is lower to be lined up queue crossing effect of optimization (%)
The severity that congestion peak time vehicle is accumulated when maximum queue length is able to reflect magnitude of traffic flow supersaturation is put down
Equal queue length reflects the whole congestion of traffic in a period of time.From the number of maximum queue length and average queue length
According to chart as can be seen that under supersaturated traffic behavior, self-adaptation control method proposed in this paper effectively controls gathering around for vehicle
It is stifled, particularly with the 3rd crossing, adjustment of the fixed timing since signal lamp cannot be made according to the actual situation, unreasonable shunting
Cause to be lined up and accumulate, forms serious traffic congestion, and adaptive algorithm then preferably inhibits congestion and has evacuated.
Low saturation and the Traffic Evaluation in the case of peak flow in short-term
Link entry flow is 200 under low saturated conditions, and the flow input in the case of peak flow is random by program in short-term
It generates, flow is stepped up according to the time period to 800 from mean value 400, then gradually reduces again.The obtained optimization effect of simulation result
Fruit is as shown in Table 3 and Table 4.
The low saturation of table 3 and queue length period effect of optimization average under peak flow in short-term
The low saturation of table 4 and queue length crossing effect of optimization average under peak flow in short-term
As can be seen from tables 3 and 4 that adaptive traffic control algorithm not only can effectively inhibit to gather around in supersaturated situation
Stifled, in low saturation and peak flow in short-term, adaptive algorithm equally has positive effect to the improvement of vehicle queue,
Effect of optimization is generally 30% or more.The generation for phenomena such as avoiding sky under low flow condition, gradually increases in vehicle flowrate
In the process, the flexible allocation that can be also let pass by each crossing to vehicle flowrate, reduces road network and a possibility that heavy congestion occurs.
Whole road grid traffic status evaluation
Queue length can effectively reflect the situation of traffic congestion, but for driver and conductor, and journey time is practical
Most concerned data when trip, are the emulation data of four journey time statistics routes below, these routes contain emulation road
Most intersection in net, can reflect the traffic condition of whole road network.
5 journey time effect of optimization of table
Horizontal axis indicates each measurement circuit in Fig. 6, and the bar chart of every route from left to right respectively indicates supersaturated flow, short
When peak flow, the travel time data under low saturation volume.The simulation experiment result shows under self adaptive control each route
Journey time is shortened, and journey time averagely reduces 32%, and part route reduces 50% or more, i.e. journey time
There is half when timing controlled.It can thus be seen that self-adaptation control method effectively improves while controlling traffic congestion
The effective rate of utilization of road network entirety traffic traffic efficiency and green time.
The above embodiments are merely illustrative of the technical scheme of the present invention and are not intended to be limiting thereof, although referring to above-described embodiment pair
The present invention is described in detail, it should be understood by those ordinary skilled in the art that: still can be to of the invention specific
Embodiment is modified or replaced equivalently, and without departing from any modification of spirit and scope of the invention or equivalent replacement,
It is intended to be within the scope of the claims of the invention.
Claims (4)
1. a kind of traffic control method of adaptive crossroad traffic signal lamp, which comprises the following steps:
Step 1: the vehicle fleet size on the current crossing of real-time reception and the adjacent lane next crossing Shang Ge；
Step 2: according to the vehicle fleet size on each lane, the passage coefficient in each lane on current crossing is calculated, according to each lane
Passage coefficient magnitude and combine phase conflicts principle, determine the current sequence of current crossing phase；
Step 3: corresponding to the vehicle fleet size in lane according to the vehicle fleet size in lane in clearance phase and next crossing, determine each vehicle
The green time of phase where road successively determines the green time of each combinatorial phase, implements traffic control according to the current sequence of phase
System；
Wherein, the passage coefficient in the lane current crossing Shang Ge is p:p=N × ((1-o)+e)；N indicates lane on current crossing
Queuing vehicle quantity, o indicate the lane occupancy ratio in same sex lane on next crossing adjacent with current road junction roadway, e expression vehicle
Road green wave band coefficient；
NXVehicle fleet size on expression next crossing adjacent with current road junction roadway on same sex lane, d
Indicate the average length of vehicle, g indicates that the average spacing between vehicle, L indicate lane length.
2. the method according to claim 1, wherein the lane green time is t:
T=tSULT+NT×H
Wherein, tSULTIt indicates after becoming green light from red light, the time that vehicle launch is delayed, H indicates saturation headway, is
Refer to vehicle in the case where be saturated traffic behavior, vehicle pass through vehicle length and convoy spacing apart from when required time；
NTIndicate the vehicle fleet size that plan of the corresponding phase of current lane in green time is let pass, NT=min (mque+marr,
macc)；
mqueIndicate the queuing vehicle quantity of current lane, marrThe vehicle that may be reached during indicating current lane green light, foundation
The vehicle arriving amt in a upper period estimated, maccIndicate that the same sex corresponding with current lane lane can connect on next crossing
The vehicle fleet size received,
3. according to the method described in claim 2, it is characterized in that, the vehicle m that may be reached during the green lightarr:
Wherein, t0For initial green light time, t0=tSULT+N0× H, N0For the vehicle number m being likely to be breached during setting green lightarrWhen=0
Obtained initial clearance vehicle fleet size, N0=min (mque,macc)；tredFor a red time length before current lane, n is indicated
The vehicle fleet size reached in a preceding red time on current lane.
4. according to the method in claim 2 or 3, feature is in the determination process of the green time of each current phase is as follows:
Step C0: calculating the passage coefficient of all phases, and be ranked up according to descending sequence, obtains phase sequence team
Column；
Step C1 chooses the current maximum phase of coefficient as master phase M according to the current sequence of phase, meanwhile, from phase loop
In queue, select with master phase M matched two matched-phases Q1 and Q2, obtain combinatorial phase (M, Q1) and (M, Q2)；
Step C2 corresponds to the biggish phase of lane coefficient using in matched-phase Q1 and Q2 as time phase Q, another conduct
Alternative phase Q ', calculates the difference (T of the lane green time where master phase M and time phaseM-TQ), if (TM-TQ) it is less than rule
Fixed minimum green time, then enter step C2.1, otherwise enter step C2.2；
Step C2.1 enables combinatorial phase green light let pass time T equal to TM, phase M and phase Q time of letting pass jointly are T, and by phase
Position M and phase Q remove out sequencing queue, enter step C3；
Step C2.2 enables combinatorial phase green light let pass time T equal to TQ, phase M and phase Q let pass the time for T, into step jointly
Rapid C2.3；
Step C2.3 calculates the green time T of alternative phase Q 'Q', by TMWith the difference (T of T in C2.2M- T) and TQ' do ratio
Compared with taking the larger value max ((TM- T), TQ') let pass time T ' as combinatorial phase green light, phase M and phase Q ' are let pass T ' jointly
Time span, and by M, Q, Q ' remove phase sequencing queue, enter step C3；
Step C3: judge whether lane phase sequencing queue is sky, and if it is empty, return step C0 restarts entirely to recycle；If
It is not sky, then recalculates the passage coefficient of all phases, and resequence to the phase in current phase sequencing queue,
Return again to step C1.
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| CN109003452A (en) * | 2018-08-29 | 2018-12-14 | 广东工业大学 | A kind of optimal control method of regional traffic |
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| CN110111588A (en) * | 2019-04-18 | 2019-08-09 | 佛山职业技术学院 | A kind of traffic lamp control method and control system |
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| CN110728840A (en) * | 2019-10-22 | 2020-01-24 | 宋海南 | Traffic control method and intelligent navigation system |
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| CN114299729B (en) * | 2021-12-06 | 2022-12-02 | 江苏航天大为科技股份有限公司 | Signal control method, system and computer storage medium based on intelligent traffic |
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