摘要
传统的交通需求回归模型通常假定模型参数为常数,这就造成模型不能反映不同研究对象之间的差异,针对这一问题提出了一种模型参数满足特定概率分布的交通需求模型,即随机参数交通需求模型,并基于遗传算法给出了模型的求解方法。通过案例分析可以看出,该模型是可行的,并且具有一定的实用价值。
In traditional transport demand model, the parameters are usually defined as constants, which leads to the result that the model can not reflect the differences of different study objects. Owing to the problem, this paper presents a transport demand model, whose parameters satisfies some given probability distributions, and develops the model solution method based on genetic algorithm. Finally, the case study indicates that the model is feasible, and has some practical values.
出处
《交通科技与经济》
2008年第1期106-109,共4页
Technology & Economy in Areas of Communications
关键词
交通需求模型
随机参数
遗传算法
transport demand model
random parameter
genetic algorithm
