Multi objective Cycle Length Optimization Model and Solution

Abstract:

In view of the multi objective property of urban traffic signal control,the pater presents a multi objective cycle length optimization(MOCLO)model with the vehicle volume and the pedestrian number as the inputs and minimum vehicle,pedestrian delay and stops as the optimization objectives.Ant colony optimization algorthms are resorted to solving the MOCLO model and can approximate every part of Pareto optimal front uniformly.A case study show that MOCLO model can give better cycle length than F B method and ARRB method on the trade off among various objectives and the alternative solutions for all potential situations.

Key words:signal control; cycle length; multi objective optimization; ant colony optimization algorithms