遗传算法在均衡交通分配模型中的应用  

Applications of genetic algorithm in traffic equilibrium assignment

作　　者：翟长旭[1] 张和平 潘艳荣[3] 

机构地区：[1]重庆市城市交通规划研究所,重庆400020 [2]珠海市公路局香洲分局,广东珠海519000 [3]重庆交通学院,重庆400074

出　　处：《重庆交通学院学报》2006年第1期107-109,共3页Journal of Chongqing Jiaotong University

摘　　要：均衡交通分配模型虽具有结构严谨、结果合理等优点,就目前而言却因为变量多、维数大导致无法很好的求解,从而影响其在实际交通规划中的应用.为了提高交通分配预测的准确性,解决均衡交通分配的求解问题,本文将遗传算法(GA)应用到其中.最后通过一个简例,并利用Matlab的GA工具箱进行编程求解,证明了该方法用于求解均衡交通分配模型的可行性.Although the traffic equilibrium assignment model has the precise structure and rational result. But the model can not be solved commendably because of the more variable and large dimension at present; thereby the application in real traffic planning is put down. In order to improve the veracity of the forecasting model, and settle the problem of solving, this paper applies the Genetic Algorithm to the model. Finally specialize a simple example, and then solve the problem in virtue of the GA toolbox of Matlab, which arguing this means of solving traffic assignment is feasible.

关 键 词：交通规划 均衡交通分配 遗传算法 MATLAB 

分 类 号：U491[交通运输工程—交通运输规划与管理]