中文摘要：

针对城市有轨电车运行环境复杂、列车运行调整存在众多约束条件、求解难度大等问题,提出虚站台概念,在此基础上建立了优化的列车运行调整模型。引入免疫系统中的免疫记忆特性和抗体浓度抑制思想,采用免疫粒子群算法对此模型进行求解,并以海珠区环岛新型城市有轨电车实验段数据进行仿真。结果表明,在引入虚站台概念基础上,采用免疫粒子群算法能够有效地解决城市有轨电车运行调整问题,并且其优化能力优于遗传算法。

英文摘要：

Aiming at the problems of complex running environment of city tram,numerous constraint conditions and huge search space on train operation adjustment,this paper proposed the virtual platform,basing on which an optimized mathematic model of operation adjustment was established. By introducing the idea of the immune memory and the antibody concentration inhibition mechanism of the immune system,it used the immune particle swarm optimization algorithm to solve the model. Basing on the data from the test line of Haizhu city trams,it conducted the simulation. The result shows that the immune particle swarm optimization algorithm with virtual platform is able to solve the problems in city tram operation adjustment,and is more efficient than GA algorithm.