Simulation-Based Multiobjective Evolutionary Approach for Traffic Signal Design
نویسندگان
چکیده
The traffic signal design problem is a typical multiobjective optimization problem. In this research, a simulation-based multiobjective evolutionary approach for traffic signal design problems is proposed. This approach has a robust advantage that the numerical simulators and the optimization solvers can be changed and used easily for other applications. In this research, it combined the NSGA-II with a microscopic traffic simulator, CORSIM, to solve the traffic signal optimization problem with multiple objectives. A road network which has 17 nodes, 30 links and 3 signal intersections is demonstrated for the numerical example. The Pareto front of optimal compromise solutions can provide the trade-off information between different objectives to decision makers.
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