A combined stochastic user equilibrium model for simultaneous prediction of trip distribution and trip assignment on large-scale networks is developed.
提出了适用于大规模网络的组合随机用户平衡模型，能够同时预测出行分布和交通分配。
The traditional travel demand model usually bases itself on the od study survey and employs a 4-step modeling process including trip generation, trip distribution, mode choice and assignment.
传统的交通需求4阶段分析模型大多基于各类出行的起讫点调查(OD调查)，建立出行生成、出行分布、出行方式选择和流量分配的4阶段预测模式。
The paper proposes the detailed computing method aiming to improve the existing traffic assignment model based on the analysis of passenger trip chain.
以乘客出行链为分析单元对传统的交通分配模型进行改进，提出具体指标的详细计算方法。
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