Based on the introduction to neural network principle, two methods of solving free train schedule and traffic flow prediction in transportation system with neural network are analyzed.
在简要介绍神经网络原理的基础上，分析了采用神经网络解决交通系统中空车调度及交通流预测的原理及方法。
However, the existing network equilibrium assignment approach has less considered the influence of the taxi service on urban transportation in the mixed urban traffic network.
但是，现有的交通网络均衡分配方法较少考虑城市混合交通网络中出租车运营对城市交通的影响。
Compared with two modes network, the stochastic-flow traffic network is more suitable for describing the transportation system in the real life.
与二态网络相比，随机流量交通网络更适于描述现实生活中的交通系统。
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