Research On Variable Lane Control Of Signalized Intersections

At present,the group development of some cities and the single layout of land use have caused tidal traffic phenomenon in some of the city’s roads in the early and late peak hours,resulting in serious congestion in certain sections and intersections.The tidal traffic phenomenon can lead to the uneven distribution of traffic flow at the intersection entrance,which leads to congestion at the intersection.The intersection is a node in the urban road network,which has a critical impact on the urban road network.Therefore,reasonable control measures at the intersection are essential to maintain the smooth flow of the urban road network.Generally,the management and optimization methods of intersections have two aspects: signal timing optimization and road infrastructure improvement.When the signal timing optimization cannot alleviate the congestion at the intersection,the road infrastructure needs to be improved,including the marking line and the number of lanes,isolation and other aspects.However,road infrastructure is usually used to improve the cost and time.Therefore,a simple and effective optimization measure should be sought to optimize the intersection while maintaining the original physical state of the road.As a flexible traffic management measure,the variable guidance lane adjusts the lane properties by adding some road infrastructure without changing the physical state of the road,and adjusting the lane properties according to the specific situation of the traffic flow distribution ratio at the intersection.Improve the utilization of road resources at intersections and ease congestion at intersections.Based on the characteristics of uneven distribution of traffic flow at intersections generated by tidal traffic phenomena,this paper optimizes the control methods of the same direction and reverse variable guidance lanes at signalized intersections.This paper first summarizes the research status of variable guidance lane control and optimization at home and abroad,and shows the significance of the variable guidance lane at the intersection and the inadequacies of the research status.Secondly,it analyzes the causes of the tidal traffic phenomenon and the specific characteristics of the tidal traffic phenomenon,and shows that the uneven distribution of traffic flow caused by the tidal traffic phenomenon can lead to the congestion of the intersection,and then proposes the distribution characteristics of different traffic flows.A method of setting the same direction and reverse variable direction of the lane at the intersection to alleviate the congestion at the intersection.After that,the setting conditions and control methods of the same direction variable guide lane are analyzed.Based on the dynamic control idea,the dynamic control system of the same direction variable guide lane is established.The detector and the setting method of the induced signal light are studied and studied.A multi-objective optimization model of signal timing is established by judging the threshold of the variable-direction lane attribute conversion threshold and the signal phase design and signal timing calculation method of the intersection.Then the conditions and control methods of the reverse variable guide lane are analyzed,and the dynamic control system of the reverse variable guide lane is established.The detection and control methods of the detector and the induction signal are studied,and the reverse variable guidance lane opening is studied.The method of judging the closing threshold and the phase design and timing adjustment method of the intersection signal under the condition of tidal traffic phenomenon are analyzed.Finally,based on the understanding of the example intersection,the effect of setting the same direction and reverse variable guidance lanes at the intersection and the effect of the signal timing multi-objective optimization model are analyzed by VISSIM simulation,which shows that the example intersection is more suitable for setting.The effectiveness of the inverse variable steering lane and signal timing multi-objective optimization model.