بهینه سازی متغیر تاخیر با استفاده از نظریه شوک موج در یک تقاطع غیر اشباع

Signal optimization is one of the most crucial problems in the traffic flow theory. Delay at signalized intersections is the main component of travel time in urban transportation networks. This paper investigates an analytical approach based on the shockwave theory to estimate the delay of each vehicle joining the queue, and minimize the total delay and delay variability at an undersaturated intersection. The optimizations are carried out for an intersection with and without loss time and are formulated as convex programs. The global optimal cycle length and splits are attained to minimize the delay variability.