Space-time Resource Optimization Method Of Intersections Based On Dynamic Lane Grouping

The contradiction between the rapid growth of the number of vehicles and the limited space of urban roads has caused a series of traffic problems.As important nodes of urban roads,the operating efficiency of signalized intersections largely determines the operating status of urban traffic.The traffic demand of signalized intersections is different in both time and space dimensions,which leads to a low utilization of spacetime resources at signalized intersections under traditional control conditions.Most existing traffic control strategies use traffic signals to control the transit time and sequence of conflicting traffic flows.It is difficult to cope with the fluctuations of traffic demand,and the utilization of space-time resources of intersections is low.In order to meet more complicated traffic demand scenarios and improve the operating efficiency of intersections,this paper studies the optimization method of time-space resources of intersections based on dynamic lane grouping.Firstly,this paper studies the characteristics of space-time resources allocation at signalized intersections.Under the preset traffic conditions,the characteristics of traffic signal control and dynamic lane grouping methods under the conditions of total traffic demand and turning traffic demand are analyzed.The differences between the two control methods for space-time resource optimization and their applicable traffic conditions are found.Based on research conclusions,this paper analyzes the complementary effects of the two control methods on the optimization of space-time resources.The feasibility analysis and the study of the benefits of collaborative control between two control methods are included.The research results show that the traffic signal control and dynamic lane grouping methods are complementary in scope of benefits and applicable conditions.The collaborative control of them can effectively improve the utilization of space-time resources,increase the ability to cope with complex traffic demand conditions,and improve the operating efficiency of intersections.Secondly,the method of space-time resource optimization of dynamic lane grouping under isolated intersections is studied.It considers the traffic demand,road channelization,and traffic signal conditions required for dynamic lane operation,and the optimization goals and strategies of space-time resources for dynamic lanes are studied.Considering the differences between intersection channelization and traffic signals,an optimization model for isolated intersections based on nonlinear integer programming is proposed,and the solution method is included.In addition,the method of switching the scheme is studied to solve the problem of scheme transition in practical engineering applications.Then,the space-time resource optimization method of dynamic lanes under the condition of arterial coordination is studied.Based on the research results of traditional arterial coordinated control theories and dynamic lane control methods,the feasibility of the application of dynamic lanes under arterial coordination conditions is analyzed,and the optimization goals and control strategies of dynamic lanes under arterial coordination conditions are proposed.Based on the consideration of the delay of mainline vehicles and the coordination of green wave bandwidth,a multi-objective genetic algorithm dynamic lane coordination model is established,and the application method of the model under the condition of mainline coordination is given.Finally,the cases of the space-time resource optimization methods based on dynamic lane intersections under the isolated intersections and arterial coordination conditions are analyzed.In the cases of isolated intersections,the application benefits of dynamic lanes under the conditions of heavy turning traffic flow and bus priority are studied.The results show that the proposed model can significantly reduce vehicle delays in heavy left-turn and right-turn traffic conditions,and increase the priority of public transit under specific traffic conditions.The analysis of arterial coordination case shows that the proposed method can effectively reduce vehicle delays and increase the green bandwidth,which improves the ability of coordination.