The present invention provides a
simulation optimization method for
bus lanes based on a proxy-assisted
evolutionary algorithm, which comprises the following steps: S1, establishing a road
network simulation model and an optimization
mathematical model; S2, collecting initial
simulation samples of decision variables based on Latin
hypercube sampling; S3, establishing a proxy model of the
simulation model by using the initial simulation samples; S4, obtaining an optimized solution set of decision variables by using an
evolutionary algorithm assisted by the proxy model; S5, selecting the most
ideal solution from the optimized solution set based on the proxy
model integration method and the sample jackknife method; S6, substituting the most
ideal solution into the simulation model for
verification and updating the proxy model. Compared with the prior art, the simulation model of the present invention, as an evaluation tool for optimization schemes, can simulate the dynamic evolution process of the
traffic system; ② Based on the simulation model and the optimization
algorithm, a quantitative optimization scheme for
bus lanes in the road network can be obtained; ③ Using the proxy model to replace some expensive calculations that need to be completed by the simulation model reduces the computational amount of simulation optimization.