Intersection Signal Management Based on Multi-Objective Optimization and Decision

Aiming at solving the multi-objective signal timing optimization and decision making problem for isolated intersections, a multi-objective optimization and decision making integration method is proposed in this paper. Firstly, a multi-objective optimization signal management model is established. Then multi-objective optimization algorithm Hyper-volume Estimation Algorithm (HypE) is used to obtain the signal timing described as Pareto set, and an improved method for uncertain multi-attribute decision problem in which attribute weights are set as interval numbers is proposed to select the satisfactory solution from the Pareto set. Simulation results show that compared with entropy weight method and Technique for Order Preference by Similarity to an Ideal Solution (TOPSIS) method, the proposed method not only can balance the tradeoff between preference demand of decision-makers and objective evaluation information, but also improve comprehensive traffic efficiencies effectively. Moreover, in comparison with the classical Australian Road Research Board (ARRB) and Highway Capacity Manual (HCM) method, the proposed multi-objective optimization and decision making method proposed brings better control effects.