A queue management model for oversaturated networks

Due to the significant population growth in metropolitan and the happening of catastrophic natural disasters and man-made disasters in recent decades, the traffic condition is becoming more and more complicated in the urban areas. It should be more emphasized on the traffic control and queue management under oversaturated situation. In under-saturated traffic conditions, the objective is to minimize the network total delays. The traffic can go through downstream intersections without having to stop. Under oversaturated traffic conditions, the objective is different, and the objective would be to maximize the system throughput. This research proposes a mathematical formulation to describe traffic control problems under over-saturated traffic conditions and the objective is to maximize the network throughput. Several issues, including ALINEA, Store-and-Forward and urban traffic control strategies issue are discussed and concepts in the constraints. Numerical experiments are conducted to illustrate the efficiency of queue management control under oversaturated networks. In the experiments, network performance is simulated through DynaTAIWAN, a simulation-assignment model.