CPS-based rolling optimization control model for single intersection signal
To improve the traffic efficiency at single intersections using modern information technology,a roll-ing optimization control architecture for the single intersection signal was developed based on the cyber-physi-cal systems(CPS)by comprehensively considering the characteristics and functions of the CPS.A layered modeling approach and framework for optimizing signal control at intersections was proposed to describe the intersection states at different levels.A CPS-based layered rolling optimization model was constructed for real-time signal optimization in different traffic environments using the expected average delay per unit time for ve-hicles and the weighted queue length ratio as the optimization objectives,respectively.A real-time interactive simulation environment based on SUMO and Python was established for conducting case studies on three traffic scenarios including unsaturated,oversaturated,and varying saturation states.The results show that compared with Transyt,Synchro,Webster,induction control,and traffic carrying capacity methods,the proposed model achieves better control effects.The average vehicle delay and the average queue length can be decreased by 43.75％and 16.05％at most,respectively.The overflow time can be extended by 37.93％at most.
万方数据
维普
