Study On Signal Control For Urban Intersection Based On Fuzzy Logic

With the economic development, the traffic demand continues to increase; urban trafficcongestion and a series of problems caused by this became more and more serious. Because of thecomplexity, strong nonlinear and randomness of the urban traffic, the traditional method for trafficcontrolling cannot meet the demands of traffic development any more. The development ofintelligent control technology provides an effective method for solving the urban traffic problems.In this paper, the fuzzy control theory is applied to the intersection signal timing controlsystem to analyze and research the urban traffic signal control, the control target is to reduce theaverage vehicle delay time for intersection control objectives, also analyze and research of theurban traffic signal control. At present, many researches is done on single intersection, this articleintroduces the design process of fuzzy control in traffic signal control and proves its validitythrough simulation. In real traffic, a large number of intersections are intertwined; however, theisolated single intersection control does not improve the efficiency of the whole transportationsystem. To improve the control effect, in this paper, on the basis of single intersection control, westudied the line control and regional control respectively based on fuzzy control.First of all, we do the fuzzy control research about the control of adjacent traffic intersection’straffic signals. In order to achieve the coordinated control between adjacent the intersections, thispaper designed a fuzzy controller which determined the green light’s delay by the amount ofqueuing vehicle, according to the relationship between the adjacent intersections calculated thereasonable phase difference, cycle and green ratio. At the same time, this paper also gives theprediction model of different directions of traffic intersection. The simulation results show that thiscontrol achieved the goals that the vehicle does not meet or meet fewer red lights in the process andthus reduce the delay time.Secondly, we do the fuzzy control research about the control of intersection’s traffic signal onparallel lines. The past research focused on the intersection or the lines themselves, with littleregard for the coordination and distribution which intersection bring to the two lines. This paperregard the two parallel lines and the intersection on one line as the objects, study about theintersection’s function of deployment and shunting for vehicle while reducing the vehicle delaytime. Due to the increase element of influence factors and the objects’ complexity, this paperdesigns a kind of two-stage fuzzy controller, the first stage fuzzy controller do the signal timing bythe amount of queuing vehicle, the second stage fuzzy controller correct the signal timing by thevehicle’s access rate on parallel lines. Simulation analysis shows that the two-stage fuzzy controller can achieve the purpose of reducing the vehicle’s average delay time and guiding the traffic.In the end, we do the fuzzy control research about the control of regional road network’s trafficsignals. Regional road network is based on the single intersection and trunk lines, coordinatedcontrol for them must analysis the coupling among intersections reasonably.This paper proposes anidea to divide the regional road network by echelon, let the different echelons run into thecoordinated control system, and design the two-stage fuzzy controller to correct the signals timingby the amount of vehicles in intersections, thus to realize the goal of reducing the vehicles’ overalldelay time in regions. Through simulation comparison, the method of the control is proved to beobviously effective.