CN206147948U - Urban traffic control system - Google Patents

Urban traffic control system Download PDF

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CN206147948U
CN206147948U CN201621183705.2U CN201621183705U CN206147948U CN 206147948 U CN206147948 U CN 206147948U CN 201621183705 U CN201621183705 U CN 201621183705U CN 206147948 U CN206147948 U CN 206147948U
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traffic
crossing
urban
traffic control
local
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郑永春
周飞标
陈建苗
胡林
王燕
孙莉
章立杨
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Hangzhou Liai Intelligent Technology Co Ltd
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Hangzhou Liai Intelligent Technology Co Ltd
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Abstract

The utility model belongs to the technical field of intelligent transportation, concretely relates to urban traffic control system, including the traffic signal lamp at crossing, locate the local traffic control ware and the several camera at each crossing, traffic signal lamp is connected with local traffic control ware and carries out signal control, real -time traffic data information transmission that each camera will be gathered is local traffic control ware extremely, the local traffic control ware at each crossing carries out traffic control 0 with central connection of city traffic control, the utility model discloses an urban traffic control system system passes through data transmission and connects cooperation vehicle recognition cameras, gathers the real -time traffic status data information at each crossing in real time, optimizes the back to the traffic control at each crossing, concentrates the traffic signals at each crossing of coordinated control in real time, realizes urban traffic's optimal configuration.

Description

A kind of urban traffic control system
Technical field
This utility model belongs to technical field of intelligent traffic, and in particular to a kind of urban traffic control system.
Background technology
What the traffic light time of existing traffic control system substantially empirically set.The traffic control at current crossing Signal will not change real-time adjustment according to vehicle flowrate, and Jing often has the direction red light of car, and does not have the direction long-time green light of car; Or the vehicle in green light direction because junction ahead be red light, vehicle cannot move ahead, when hot, green light is converted, former green light direction Car is trapped in this crossing, and the car in present green light direction cannot be by the crossing, so as to further result in the crossing congestion.This reality Border road vehicle situation and the nonsynchronous situation of traffic control signal can increase stoppage of vehicle number of times and time, waste existing road Road resource, causes traffic congestion, increases energy resource consumption and waste gas discharge and pollutes environment.
To improve real road traffic and the nonsynchronous state of predetermined traffic control signal, some prosperity urban parts are handed over Monitor video is sent to traffic control center in peak period by path mouth, and dispatcher is according to the road vehicle feelings seen in video Condition, remote manual control red, the green light at several crossings;Or the traffic intersection having has traffic police in peak period and is manually referred to Wave.Its purpose is exactly to allow traffic control signal to be optimized adjustment according to the real time status of road.
But each crossing, daily twenty four hours have traffic police's floor manager to be difficult to.According to video dispatching Traffic also has many problems and difficulty, and especially there is thousands of photographic head in each city, even the monitoring at crossing Video is sent to control centre, does not also have so many dispatchers monitor video image at any time, and according to the vehicle feelings on video The control signal at each crossing of condition real-time adjustment.And, many traffic scheduling personnel are also impossible to mutually coordinated well, Zhi Nengju Portion optimizes monitored crossing, it is impossible to the traffic control signal in the whole city of real-time optimization.From the point of view of operating cost, photographic head is regarded Frequency transmitted data amount is very big, takes very high bandwidth, it is impossible to transmit by mobile phone wireless net, and the telecommunications for needing rental special is led to Road, operating cost are very high, the monitor video of so Multiple Intersections are passed to control centre unrealistic.Present traffic control situation base It is that red, green light switches according to fixed program in sheet, control centre simply monitors the traffic behavior of several critical junctions.
The content of the invention
For above-mentioned deficiency present in prior art, this utility model provides one kind and can make multiple traffic intersections in city Control signal the vehicle urban traffic control system synchronous with traffic signal can be realized according to road traffic state real-time adjustment System.
In order to reach above-mentioned utility model purpose, this utility model is employed the following technical solutions:
A kind of urban traffic control system, including crossing traffic light, located at the local traffic controller at each crossing With several photographic head, traffic light are connected with local traffic controller and carry out signal control, the reality that each photographic head will be gathered When traffic data information transmit to local traffic controller, local traffic controller and the urban traffic control center at each crossing connect Connect and carry out data transmission.Urban traffic control system system of the present utility model coordinates vehicle identification by data transfer connection Photographic head, the real-time traffic states data message at each crossing of Real-time Collection, after being optimized to the traffic control at each crossing, in real time The traffic signal for coordinating each crossing of control are concentrated, distributing rationally for urban transportation is realized.
Preferably, the local traffic controller includes traffic optimization processing module, and traffic optimization processing module is used to connect Receive the real time traffic data information of the several photographic head collection on crossing, and real time traffic data information is carried out processing and Coding.When local traffic controller and the communication disruption at urban traffic control center, or when being arranged to independent operating state, The traffic optimization processing module can be according to the optimization aim of the crossing setting and parameters optimization, according to the real-time traffic at the crossing After situation is optimized computing, the state of each traffic light is drawn, then according to optimum results, control corresponding traffic lights, Realize the optimization of the crossing traffic.
Preferably, the local traffic controller also includes standard network interface, and standard network interface is for by photographic head The real time traffic data information transfer of collection is to the traffic optimization processing module.Ensure the steady of real time traffic data information transfer Qualitative and reliability.
Preferably, the local traffic controller also include traffic signal management module, traffic signal management module according to The operation that traffic optimization processing module controls the traffic light to the real time traffic data information result being optimized.It is real The automatization of the working procedure conversion of existing traffic light.
Preferably, the real time traffic data information includes the species of vehicle, quantity, position and traveling on each track of road The quantity of pedestrian in speed, and footpath.Real time traffic data information facilitates whole city in being included in vehicle and pedestrian The centralized optimization of city's traffic.
Preferably, to carry out data centrally through mobile phone wireless net with urban traffic control defeated for the local traffic controller Send.Real-time adjustment traffic signal, coordinate each crossing traffic so that control signal is synchronous with road traffic.
Preferably, the urban traffic control center includes standard Wide Area Network interface, traffic optimization module and traffic behavior Display module, the standard Wide Area Network interface are connected with the local traffic controller at each crossing and transmit real time traffic data letter Breath, and by real time traffic data information conveyance to traffic optimization module, traffic optimization module is passed through with traffic behavior display module Traffic monitoring LAN connects.By traffic intersection unified allocation of resources of the urban traffic control center to whole city, improve city Traffic.
Compared with prior art, beneficial effect is this utility model:
(1) this utility model urban traffic control system is made many using image recognition technology and mobile phone wireless net transmission technology The traffic control signal at individual crossing can be according to the automatic real-time adjustment of the vehicle condition of all directions vehicle so that city road Red, green light and vehicle synchronous, reduce dwell times and the time of vehicle as far as possible, make full use of existing path resource;
(2) from for the angle of practical operation, it is not Traffic Surveillance Video due to what is transmitted in this utility model, but it is simple Single road vehicles and the Realtime Statistics of pedestrian, for describing various types of vehicles quantity, desired data amount seldom, can Transmitted using mobile phone wireless net, it is not necessary to rent telecommunications designated lane, greatly reduce enforcement difficulty and operating cost.
(3) this utility model urban traffic control system is intelligent, saves substantial amounts of human and material resources and financial resources.
Description of the drawings
Fig. 1 is the structural representation at a crossing in this utility model embodiment 1.
Fig. 2 is the structural representation for connecting urban traffic control center in this utility model embodiment 2 through mobile phone wireless net Figure.
Fig. 3 is the internal structure schematic diagram of the local traffic controller in this utility model embodiment 2.
Fig. 4 is the internal structure schematic diagram at urban traffic control center in this utility model embodiment 2.
Fig. 5 is the schematic diagram that vehicle identification photographic head recognizes vehicle in this utility model embodiment 2.
Fig. 6 is the schematic diagram of current city traffic control signal and virtual condition step-out.
Fig. 7 is the schematic diagram of control signal and vehicle synchronous in this utility model embodiment 2.
Fig. 8 is another schematic diagram of 2 control signal of this utility model embodiment and vehicle synchronous.
Fig. 9 is another schematic diagram of 2 control signal of this utility model embodiment and vehicle synchronous.
Figure 10 is another schematic diagram of 2 control signal of this utility model embodiment and vehicle synchronous.
Figure 11 is another schematic diagram of 2 control signal of this utility model embodiment and vehicle synchronous.
Figure 12 is another schematic diagram of 2 control signal of this utility model embodiment and vehicle synchronous.
Figure 13 is another schematic diagram of 2 control signal of this utility model embodiment and vehicle synchronous.
Specific embodiment
Explanation is further described to the technical solution of the utility model below by specific embodiment.
Embodiment 1:
The urban traffic control system of the present embodiment, by taking a crossing in urban road as an example, as shown in figure 1, including Four groups of traffic light 1, several vehicle identification photographic head 2 and local traffic controllers 3, local traffic controller 3 pass through mobile phone Wireless network 4 is connected with urban traffic control center and carries out data information transfer.
Vehicle identification photographic head 2, each traffic direction are at least a set of, installed in the direction that crossing is entered in the face of vehicle, right Image on road is processed, according to vehicle feature recognition and count the vehicle class in each track on road, quantity, traveling speed Pedestrian information on degree and current location and footpath, then passes through netting twine according to 802.3 agreement of standard IEEE statistical data Access local traffic controller 3;By netting twine, vehicle identification photographic head 2 realizes that POE obtains electricity from local traffic controller 3 simultaneously Power is supported.
Local traffic controller 3, including traffic optimization processing module, the module is received on each road on the crossing The traffic statistics real time data of multiple vehicle identification photographic head 2, and after data are processed and encoded, by mobile phone wireless net Transmit to urban traffic control center, while can also receive the traffic control data of urban traffic control central transmission, control should The traffic signal at crossing, realize that centralized Control is coordinated in the optimization of multiple crossing traffics.When local traffic controller 3 is being handed over city The communication disruption of logical control centre, or when being arranged to independent operating state, can be according to the optimization aim of the crossing setting And parameters optimization, it is optimized after computing according to the real-time traffic condition at the crossing, draws the state of each traffic light, then According to the corresponding red, green time of optimum results control, the optimization of the crossing traffic is realized.
Embodiment 2:
As shown in Figure 2 and Figure 3, the urban traffic control system of the present embodiment is applied on the urban road at four crossings, is led to Crossing mobile phone wireless network and a central controlled scheme schematic diagram being realized with urban traffic control center, each crossing configuration one is local Controller 5 and several vehicle identification photographic head, the vehicle identification photographic head at each crossing gather all directions car on correspondence crossing respectively The quantity of vehicle and pedestrian on road, current location and travel speed.Local controller 5 includes standard network interface, vehicle The traffic statistics real-time Data Transmission at each crossing of identification camera collection is to traffic optimization processing module;Traffic optimization processes mould After communication protocol packing of the block traffic statistics real time data according to urban traffic control center 7, mobile phone wireless router is sent to; After the router is packed the data for receiving according to mobile phone wireless fidonetFido, by the mobile phone of mobile phone wireless net Base Transmitter 6 Wireless network is sent to urban traffic control center 7, then the traffic control signal of all directions received from city control centre 7 State, according to the communication protocol of existing traffic signal manager, encodes traffic control signal, is then sent to traffic signal pipe Reason module;The traffic signal management module controls the equipment such as corresponding traffic light according to the state of control signal.
As shown in figure 4, the internal structure schematic diagram at the urban traffic control center of the present embodiment, including standard wide area network connects Mouthful, the statistical data for receiving each crossing that the local traffic controller from multiple crossings is sent sends into traffic optimization module, according to The priority at each crossing is arranged, and the traffic control signal of corresponding intersection is optimized and controlled to the real-time traffic at each crossing; Then the traffic monitoring LAN of city control centre, and the position according to the vehicle and pedestrian for receiving and the speed of service are accessed Statistical traffic data, construct current traffic condition illustraton of model, at the same access traffic behavior display controller, be sent to control in The heart shows wall, so that monitoring personnel monitors traffic;Monitor on LAN can monitor each crossing current state and Optimized Operation result, adjusts the configuration parameter at each crossing, according to actual needs can be with the control signal at real-time adjustment crossing.Each road The real time traffic data of mouth is stored into historical data base, is that road traffic optimization module learns so as to further improve Optimized model Foundation is provided.
As shown in figure 5, the schematic diagram of the recognized vehicle condition of a road vehicle identification camera of the present embodiment. Labelling 1 to 10 represents the road vehicle that vehicle identification photographic head is recognized in the diagram.Wherein labelling 1., 2., 3., 4., 6., 8., 10. the vehicle of institute's labelling represents usual car;5. little buses are represented;7. represent full-sized bus;9. represent big Lorry;It can be seen that vehicle identification photographic head identifies that 8. a car turns right, behind have a truck 9. 10. travelled on right-turn lane with 25 kilometers per hour with a car, respectively apart from 20 meters and 50 meters of crossing;There is a car 4. 5. with one little bus is waited in straight way, has a car 6. with full-sized bus 7. with 10 kilometers per hour of speed Degree is close to crossing in straight way, respectively away from 25 meters and 35 meters of crossing;There are two cars 1., 2. wait on left changing lane, it is another 3. car is close to crossing, 40 meters of distance with 15 kilometers of speed per hour on left changing lane.
As shown in fig. 6, representing current city traffic control signal and the nonsynchronous result of vehicle-state.When crossing A by North orientation south to green light when, due to crossing B north-to-south direction red lights, many stoppage of vehicles between crossing A and crossing B by On the track of north orientation south, cause the car of the north-to-south direction of crossing A move ahead and be trapped in crossing A.When crossing A is by east orientation When west is to green light, blocked by the vehicle being detained by north orientation south originally, it is impossible to by crossing, cause path resource to waste.
As shown in fig. 7, representing that the present embodiment urban traffic control system coordinates the schematic diagram of urban road crossing traffic.It is false in figure If the road of North and South direction is major urban arterial highway, optimization aim is that the time of staying of the vehicle on major trunk roads is most short.Shape in figure State is represented:There is a car group being close to crossing A on the track of north-to-south direction, traffic optimization controller predicted vehicle is reached The time at crossing, interrupt transmeridional vehicle in advance so that same crossing A is not just stopped by the vehicle in north orientation south.And now, by The vehicle in south orientation north is fewer, then allows simultaneously by north orientation south and the vehicle pass-through by north orientation east.In the vehicle group by north orientation south Before not reaching crossing B, crossing B and C allow the vehicle of east-west direction to pass through.
As shown in figure 8, representing that the present embodiment urban traffic control system coordinates another schematic diagram of urban road crossing traffic. Traffic control state according to Fig. 7.After by the car group in north orientation south by crossing A, crossing B is being close to.Hand in city Transmeridional vehicle on the B of crossing is stopped by logical control system in time, allows car group not stop directly by crossing B.Now, crossing A By track no vehicle of turning left in north orientation east, vehicle from south to north is then allowed to pass through crossing A.Gone back by the car group in north orientation south Crossing C is not reached, continues to allow the transmeridional vehicle of crossing C to pass through.
As shown in figure 9, representing that the present embodiment urban traffic control system coordinates another schematic diagram of urban road crossing traffic. Traffic control state according to Fig. 8.After crossing B has been passed through by the car group in north orientation south, crossing C is being close to.Hand over Transmeridional vehicle on the C of crossing is stopped by logical control optimization system in time, allows car group not stop directly by crossing C.Allow simultaneously Che Quntong crossings C from south to north.Now, B vehicles from south to north in crossing are fewer, then allow and passed through by the vehicle in north orientation east Crossing B.
As shown in Figure 10, represent that the present embodiment urban traffic control system coordinates another signal of urban road crossing traffic Figure.Traffic control state according to Fig. 9.When having passed through crossing A by the car group in north orientation south, crossing A allows transmeridional car Pass through.Now, car group from south to north also passes through crossing C.When vehicle reaches crossing B, traffic controller stops in advance Only by the vehicle in north orientation east, allow car group smoothly with crossing B.
As shown in figure 11, represent that the present embodiment urban traffic control system coordinates another signal of urban road crossing traffic Figure.Traffic control state according to Figure 10.When car group from south to north has passed through crossing C, crossing C allows by north orientation east Vehicle passes through.Now car group from south to north is already close to crossing A, the transmeridional cars of traffic optimization system preparation stopping crossing A .
As shown in figure 12, represent that the present embodiment urban traffic control system coordinates another signal of urban road crossing traffic Figure.Traffic control state according to Figure 11.When car group from south to north reaches crossing A, by the southern car group of north orientation By crossing A and crossing B, then crossing traffic optimization system allow crossing A from south to north and by the vehicle pass-through in south orientation west, together When allow the East and West direction vehicle pass-through of crossing B.Now car group from south to north has passed through crossing C, and traffic optimization system allows by north Southwards and by the vehicle pass-through in north orientation east.
As shown in figure 13, represent that the present embodiment urban traffic control system coordinates another signal of urban road crossing traffic Figure.Traffic control state according to Figure 12.When car group by north orientation south and from south to north has passed through crossing A, crossing B With crossing C, these crossings allow East and West direction vehicle by crossing, complete control week of the leading vehicle by these three crossings Phase.
It is simple traffic that above-mentioned urban traffic control system coordinates the schematic diagram of urban road crossing traffic, actual feelings Condition is more complicated, and the traffic intersection in whole city is a lot, needs substantial amounts of optimization computing.However, these optimization computings are needed Foundation can obtain the real-time traffic states data at each crossing in time in traffic control center, can grasp each crossing in time, respectively On the basis of the vehicle and pedestrian's quantity of direction lane.
The optimized algorithm of simplified traffic model is as follows:
Assume on a certain major trunk roads, there is three central controlled crossing A, B and C, each crossing has hand over vertical with major trunk roads respectively The road of fork, four points of abbreviation four corners of the world direction, has straight trip, left and right to turn track respectively.To simplify traffic model, it is assumed that red light Allow to turn right, each track in these three crossings and vehicle have same priority configuration.Below with the model at one of crossing As a example by, calculate the total losses that each track red light at the crossing is caused.Assume:
The priority of certain period car is Pc, and buses priority is Pb, and lorry priority is Pt, and Pedestrians priority level is Pp;
Rainy priority parameter Pr (from fine day I to the rainy day Ⅹ), the priority parameter Ps that snows (accumulated snow Ⅹ from fine day I to road);
Lane priority level is respectively RPew (east → west), RPes (east → south), RPwe (west → east), RPwn (west → north), RPsn (south → north), RPsw (south → west), RPns (north → south) and RPne (north → east);
Road green time is respectively TGLew (east → west), TGLes (east → south), TGLwe (west → east), TGLwn (west → north), TGLsn (south → north), TGLsw (south → west), TGLns (north → south) and TGLne (north → eastern);
Road red time is respectively TRLew (east → west), TRLes (east → south), TRLwe (west → east), TRLwn (west → north), TRLsn (south → north), TRLsw (south → west), TRLns (north → south) and TRLne (north → eastern);
Road yellow time is respectively TYLew (east → west), TYLes (east → south), TYLwe (west → east), TYLwn (west → north), TYLsn (south → north), TYLsw (south → west), TYLns (north → south) and TYLne (north → eastern);
Under normal circumstances during green light vehicle from static to by the average speed VGew at crossing (east → west), VGes (east → South), VGwe (western → east), VGwn (west → north), VGsn (south → northern), VGsw (south → west), VGns (north → south) and VGne are (northern → east);
Identify in certain moment footpath across road people quantity be NPn (t) (Zebra crossing north side), NPs (t)( Zebra crossing southern side), NPe (t) (Zebra crossing east side), NPw (t) (Zebra crossing west side);
Identify that the car quantity on each track in certain moment one of crossing is NCew (t) (east → west), NCes (t) (east → south), NCwe (t) (west → east), NCwn (t) (west → north), NCsn (t) (south → north), NCsw (t) (south → west), NCns (t) (north → south), NCne (t) (north → east);
Identify that buses quantity on certain moment each track is NBew (t) (east → west), NBes (t) (east → south), NBwe (t) (west → east), NBwn (t) (west → north), NBsn (t) (south → north), NBsw (t) (south → west), NBns (t) (north → South), NBne (t) (north → east);
Identify that lorry quantity on certain moment each track is NTew (t) (east → west), NTes (t) (east → south), NTwe (t) (west → east), NTwn (t) (west → north), NTsn (t) (south → north), NTsw (t) (south → west), NTns (t) (north → south) NTne (t) (north → east);
Identify that vehicle on certain moment each track is VDew (t) { ... } (east → west) to the distance vector at crossing, VDes (t) { ... } (east → south), VDwe (t) { ... } (west → east), VDwn (t) { ... } (west → north), VDsn (t) { ... } (south → North), VDsw (t) { ... } (south → west), VDns (t) { ... } (north → south), VDne (t) { ... } (north → east);
Identify that the car speed vector on certain moment each track is VSew (t) { ... } (east → west), VSes (t) { ... } (east → south), VSwe (t) { ... } (west → east), VSwn (t) { ... } (west → north), VSsn (t) { ... } (south → north), VSsw (t) { ... } (south → west), VSns (t) { ... } (north → south), VSne (t) { ... } (north → east);
Based on the parameter that arrangement above and vehicle identification counting statistics go out, each track moment t stop in the crossing is calculated single The loss of position time dt:
Wew (t) dt=RPew × (Pp × Pr × Ps × (NPe (t)+NPw (t))+Pc × NCew (t)+Pb × NBew (t)+ Pt×NTew(t));
Wherein:
Wew (t) is the loss that driving vehicle is caused because of stop from the east to the west of certain moment t;
RPew is the priority parameters for sailing track from east to west into;
Pr is rainy day priority parameters;
Ps is snowy day priority parameters;
NPe (t) is the total number of persons that the two-way pedestrian in certain moment north and south is waited on the horse line of east side;
NPw (t) is the total number of persons that the two-way pedestrian in certain moment north and south is waited on the horse line of west side;
Pc is car priority parameters;
NCew (t) is the car sum for travelling from the east to the west at certain moment;
Pb is buses priority parameters;
NBew (t) is the buses sum for travelling from the east to the west at certain moment;
Pt is lorry priority parameters;
NTew (t) is the lorry sum for travelling from the east to the west at certain moment;
The loss that other track moment t stops unit interval dt can equally be calculated:
Wes (t) dt=RPes × (Pp × Pr × Ps × (NPe (t)+NPs (t))+Pc × NCes (t)+Pb × NBes (t)+ Pt×NTes(t));
Wwe (t) dt=RPwe × (Pp × Pr × Ps × (NPw (t)+NPe (t))+Pc × NCwe (t)+Pb × NBwe (t)+ Pt×NTwe(t));
Wwn (t) dt=RPwn × (Pp × Pr × Ps × (NPw (t)+NPn (t))+Pc × NCwn (t)+Pb × NBwn (t)+ Pt×NTwn(t));
Wsn (t) dt=RPsn × (Pp × Pr × Ps × (NPs (t)+NPn (t))+Pc × NCsn (t)+Pb × NBsn (t)+ Pt×NTsn(t));
Wsw (t) dt=RPsw × (Pp x Pr x Ps x (NPs (t)+NPw (t))+Pc x NCsw (t)+Pb x NBsw (t)+Pt x NTsw(t));
Wns (t) dt=RPns × (Pp × Pr × Ps × (NPn (t)+NPs (t))+Pc x NCns (t)+Pb × NBns (t) +Pt×NTns(t));
Wne (t) dt=RPne × (Pp × Pr × Ps × (NPn (t)+NPe (t))+Pc × NCne (t)+Pb × NBne (t)+ Pt×NTne(t));
Based on above-mentioned formula, it can be deduced that the loss that the crossing east is caused to western red time:
Wherein:
TWew (TRLew) is the total losses caused when east-west direction red light;
TRLew be east to west to red time;
Wew be east to west to loss;
Likewise it is possible to draw the loss that all directions red time is caused:
According to above formula, it can be deduced that the crossing moment, when red time is respectively TRLew, TRLes, TRLwe, Total losses when TRLwn, TRLsn, TRLsw, TRLns, TRLne:
If the traffic intersection period is according to the minimum optimization principles of total losses, then calculate total losses it is minimum when, respectively The time of direction red light, for controlling the traffic signal at crossing, can be achieved with the purpose of stoppage of vehicle total time minimum.
In actual applications, the traffic control model loss equation of the above can simplify under certain condition, as follows, it is assumed that The time span of green light can at least allow certain moment t when last enter track car pass through crossing;And with main green light when Between length be the cycle, but the time period can be segmented to track of turning left (or Through Lane) and head-on Through Lane (or car of turning left Road);The time of all directions amber light is determined according to weather at that time and the busy situation of road, is normal in a traffic signal cycles Number.Under the following conditions, total road loss is calculated respectively, minima is found, and traffic signal just can be according to the condition hypothesis Time control:
1st, the main green light in direction from east to west, green time is TGLew, and yellow time is TYLew:
TRLew=0;
TGLew>Max(VDew(t){...})/(Average(VSew(t){...})+VGew);
TRLwe+TYLwe+TRLes+TYLes=TGew+TYew;
TRLwn=TGLew+TYLew;
TRLsn=TGLew+TYLew;
TRLsw=TGLew+TYLew;
TRLns=TGLew+TYLew;
TRLne=TGLew+TYLew;
Wherein:
Max (VDew (t) { ... }) be from east to west on track at the moment with a distance from a farthest car of crossing, It is exactly the distance of last car;
Average (VSew (t) { ... }) be the moment from east to west on track vehicle average overall travel speed.
2nd, from east orientation south to main green light, green time is TGLes, and yellow time is TYLes:
TRLes=0;
TGLes>Max(VDes(t){...})/(Average(VSes(t){...})+VGes);
TRLew+TYLew+TRLwn+TYLwn=TGes+TYes;
TRLwe=TGLes+TYLes;
TRLsn=TGLes+TYLes;
TRLsw=TGLes+TYLes;
TRLns=TGLes+TYLes;
TRLne=TGLes+TYLes;
Wherein:
Max (VDes (t) { ... }) be by east orientation south track at the moment with a distance from a farthest car of crossing, It is exactly the distance of last car;
Average (VSes (t) { ... }) is average overall travel speed of the moment by vehicle on the track of east orientation south.
3rd, the main green light in direction from west to east, green time is TGLwe, and yellow time is TYLwe:
TRLwe=0;
TGLwe>Max(VDwe(t){...})/(Average(VSwe(t){...})+VGwe);
TRLew+TYLew+TRLwn+TYLwn=TGwe+TYwe;
TRLwe=TGLwe+TYLwe;
TRLsn=TGLwe+TYLwe;
TRLsw=TGLwe+TYLwe;
TRLns=TGLwe+TYLwe;
TRLne=TGLwe+TYLwe;
Wherein:
Max (VDwe (t) { ... }) be from west to east on track at the moment with a distance from a farthest car of crossing, It is exactly the distance of last car;
Average (VSwe (t) { ... }) be the moment from west to east on track vehicle average overall travel speed.
4th, by the western main green light in direction northwards, green time is TGLwn, and yellow time is TYLwn:
TRLwn=0;
TGLwn>Max(VDwn(t){...})/(Average(VSwn(t){...})+VGwn);
TRLwe+TYLwe+TRLes+TYLes=TGwn+TYwn;
TRLew=TGLwn+TYLwn;
TRLsn=TGLwn+TYLwn;
TRLsw=TGLwn+TYLwn;
TRLns=TGLwn+TYLwn;
TRLne=TGLwn+TYLwn;
Wherein:
Max (VDwn (t) { ... }) be by west northwards on track at the moment with a distance from a farthest car of crossing, It is exactly the distance of last car;
Average (VSwe (t) { ... }) is average overall travel speed of the moment by vehicle on west northwards track.
5th, the main green light in direction from south to north, green time is TGLsn, and yellow time is TYLsn:
TRLsn=0;
TGLsn>Max(VDsn(t){...})/(Average(VSsn(t){...})+VGsn);
TRLns+TYLns+TRLsw+TYLsw=TGsn+TYsn;
TRLew=TGLsn+TYLsn;
TRLes=TGLsn+TYLsn;
TRLwe=TGLsn+TYLsn;
TRLws=TGLsn+TYLsn;
TRLne=TGLsn+TYLsn;
Wherein:
Max (VDsn (t) { ... }) be from south to north on track at the moment with a distance from a farthest car of crossing, It is exactly the distance of last car;
Average (VSsn (t) { ... }) be the moment from south to north on track vehicle average overall travel speed.
6th, from south orientation west to main green light, green time is TGLsw, and yellow time is TYLsw:
TRLsw=0;
TGLsw>Max(VDsw(t){...})/(Average(VSsw(t){...})+VGsw);
TRLsn+TYLsn+TRLne+TYLne=TGsw+TYsw;
TRLew=TGLsw+TYLsw;
TRLes=TGLsw+TYLsw;
TRLwe=TGLsw+TYLsw;
TRLwn=TGLsw+TYLsw;
TRLns=TGLsw+TYLsw;
Wherein:
Max (VDsw (t) { ... }) be by the western track of south orientation at the moment with a distance from a farthest car of crossing, It is exactly the distance of last car;
Average (VSsw (t) { ... }) is average overall travel speed of the moment by vehicle on the western track of south orientation.
7th, the main green light of north-to-south direction, green time are TGLns, and yellow time is TYLns:
TRLns=0;
TGLns>Max(VDns(t){...})/(Average(VSns(t){...})+VGns);
TRLsn+TYLsn+TRLne+TYLne=TGns+TYns;
TRLew=TGLns+TYLns;
TRLes=TGLns+TYLns;
TRLwe=TGLns+TYLns;
TRLwn=TGLns+TYLns;
TRLsw=TGLns+TYLns;
Wherein:
Max (VDns (t) { ... }) be by north orientation south track at the moment with a distance from a farthest car of crossing, It is exactly the distance of last car;
Average (VSns (t) { ... }) is average overall travel speed of the moment by vehicle on the track of north orientation south.
8th, from north orientation east to main green light, green time is TGLne, and yellow time is TYLne:
TRLne=0;
TGLne>Max(VDne(t){...})/(Average(VSne(t){...})+VGne);
TRLns+TYLns+TRLsw+TYLsw=TGne+TYne;
TRLew=TGLne+TYLne;
TRLes=TGLne+TYLne;
TRLwe=TGLne+TYLne;
TRLwn=TGLne+TYLne;
TRLsn=TGLne+TYLne;
Wherein:
Max (VDne (t) { ... }) be by north west track at the moment with a distance from a farthest car of crossing, It is exactly the distance of last car;
Average (VSne (t) { ... }) is average overall travel speed of the moment by vehicle on north west track.
The minimal losses under the conditions of the above eight are calculated respectively, then finds out loss minimum inside this 8 conditions, be exactly According to the optimization traffic control time of minimum total losses.
After the completion of each controlling cycle, the priority of all directions road is done and is once adjusted.The track priority in green light direction Initial set value is reset to, the track priority in red light direction increases according to setting rule, i.e. the track that the time of grade is longer is excellent First level is higher, and not so the few track of vehicle may not have the chance of green light.Such as this cycle from east to west side and from west to east Direction green light, then the lane priority level of next cycle is adjusted to respectively:
RPew=RPew_Init;
RPwe=RPwe_Init;
RPes=RPes+RPes_Delta;
RPwn=RPwn+RPwn_Delta;
RPsn=RPsn+RPsn_Delta;
RPse=RPse+RPse_Delta;
RPns=RPns+RPns_Delta;
RPne=RPne+RPne_Delta;
The optimum results at other crossings can be calculated with same method.Then according to multiple crossing total losses are minimum Principle, draws the result of global optimization, and according to the time of each belisha beacon, by mobile phone wireless net, controls each road respectively The traffic signal of mouth.
However, the result of optimization is not necessarily actual traffic control, some limits must be added according to the situation at each crossing The red light of fixed condition, such as all directions is accumulative no more than certain value, is converted into green light more than rear next cycle;Limit green The cumulative time of lamp is no more than certain value;If the vehicle of green light Way out can not pass through because of road ahead congestion, it will Automatically avoid direction green light.
Above description is only the simple case of a simplified crossing traffic Optimized model, also has many limit in actual enforcement Fixed condition and Exception handling.And model itself also can be modified according to the situation at each crossing.Such as, some crossings are wished Backbone is unimpeded, and the priority in track can be adjusted according to the travel speed of vehicle on track, allows direction green light chance to increase, So that driving vehicle is not stopped as early as possible by crossing, improve crossing and be open to traffic rate.
The urban traffic control method of the present embodiment, comprises the steps:Vehicle on vehicle identification photographic head identification road Species, quantity, position and travel speed, the vehicle and pedestrian's data on classified statistic all directions track, then count these Data are sent to urban traffic control center through mobile phone wireless net.Collect the data at each multiple crossings in urban traffic control center Afterwards, according to these statistical datas, according to road and the priority of various vehicles, and the optimization aim of the period, optimize each bar The control signal of road, then after control signal is packed by stipulations, by the mobile phone wireless local friendship for being dealt into corresponding intersection off the net Ventilating controller, controls the traffic signal of all directions.
And than that described above, in addition it is also necessary to explanation is " one embodiment ", " another reality spoken of in this manual Apply example ", " embodiment " etc., referring to the specific features with reference to the embodiment description, structure or feature, to be included in the application general In at least one embodiment of including property description.In the description multiple places occur statement of the same race be not necessarily refer to it is same Embodiment.Furthermore, it is understood that when describing specific features, structure or a feature with reference to any embodiment, to be advocated is Realize that with reference to other embodiment this feature, structure or feature also fall in the range of this patent.
Although reference be made herein to multiple explanatory embodiments of this patent are described to this patent, however, it is to be understood that Those skilled in the art can be designed that a lot of other modifications and embodiment, and these modifications and embodiment will fall in this Shen Please be within disclosed spirit and spirit.More specifically, in the range of disclosure, drawings and claims, can Various modifications and improvement are carried out with the building block and/or layout to theme composite configuration.Except to building block and/or layout The modification and improvement for carrying out is outer, and to those skilled in the art, other purposes also will be apparent.

Claims (7)

1. a kind of urban traffic control system, it is characterised in that traffic light including crossing, located at the local friendship at each crossing Ventilating controller and several photographic head, traffic light are connected with local traffic controller and carry out signal control, and each photographic head will The real time traffic data information transfer of collection is to local traffic controller, local traffic controller and the urban transportation control at each crossing Center processed connects and carries out data transmission.
2. urban traffic control system according to claim 1, it is characterised in that the local traffic controller includes handing over Logical optimization processing module, traffic optimization processing module are used for the real-time traffic number for receiving the several photographic head collections on crossing It is believed that breath, and real time traffic data information is processed and encoded.
3. urban traffic control system according to claim 2, it is characterised in that the local traffic controller also includes Standard network interface, standard network interface is for the real time traffic data information transfer that gathers photographic head to the traffic optimization Processing module.
4. the urban traffic control system according to Claims 2 or 3, it is characterised in that the local traffic controller is also Including traffic signal management module, traffic signal management module is entered to real time traffic data information according to traffic optimization processing module Row optimization result and control the operation of the traffic light.
5. the urban traffic control system according to claim 1 or 2 or 3, it is characterised in that the real time traffic data letter Breath includes the quantity of pedestrian in the species of vehicle, quantity, position and travel speed, and footpath on each track of road.
6. the urban traffic control system according to claim 1 or 2 or 3, it is characterised in that the local traffic controller Data conveying is carried out centrally through mobile phone wireless net with urban traffic control.
7. urban traffic control system according to claim 1, it is characterised in that the urban traffic control center includes Standard Wide Area Network interface, traffic optimization module and traffic behavior display module, the sheet at the standard Wide Area Network interface and each crossing Ground traffic controller connects and transmits real time traffic data information, and by real time traffic data information conveyance to traffic optimization mould Block, traffic optimization module are connected by traffic monitoring LAN with traffic behavior display module.
CN201621183705.2U 2016-10-28 2016-10-28 Urban traffic control system Active CN206147948U (en)

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Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106448193A (en) * 2016-10-28 2017-02-22 杭州利艾智能科技有限公司 Urban traffic control system and method
CN108230700A (en) * 2017-12-29 2018-06-29 上海大汉三通无线通信有限公司 A kind of method for controlling traffic signal lights, system and traffic control system
CN110556000A (en) * 2018-06-04 2019-12-10 义硕智能股份有限公司 Artificial intelligence traffic detection system
TWI712012B (en) * 2018-06-04 2020-12-01 義碩智能股份有限公司 Artificial intelligence traffic detection system
CN114067558A (en) * 2021-08-22 2022-02-18 刘智和 Intelligent network for controlling traffic of each intersection in city by adopting internet

Cited By (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106448193A (en) * 2016-10-28 2017-02-22 杭州利艾智能科技有限公司 Urban traffic control system and method
CN108230700A (en) * 2017-12-29 2018-06-29 上海大汉三通无线通信有限公司 A kind of method for controlling traffic signal lights, system and traffic control system
CN110556000A (en) * 2018-06-04 2019-12-10 义硕智能股份有限公司 Artificial intelligence traffic detection system
TWI712012B (en) * 2018-06-04 2020-12-01 義碩智能股份有限公司 Artificial intelligence traffic detection system
CN114067558A (en) * 2021-08-22 2022-02-18 刘智和 Intelligent network for controlling traffic of each intersection in city by adopting internet

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