Complexity, dynamics and mutability are basic characteristics of pedestrian evacuation. However, most models for pedestrian traffic still lack an explanatory mechanism of the individual choice process. This study concerns a cell transmission model (CTM) for pedestrian traffic. But we focus on a new issue, namely, how to illustrate the decision-making process of each individual pedestrian. The decision field theory (DFT), a cognitive model to capture the deliberation process in decision making, is introduced to the cell transmission model and an extended dynamic pedestrian flow assignment model based on DFT and CTM is proposed. Pedestrian attitudes towards distance and crowdedness are considered and the individual preferences of pedestrians in the dynamic decision-making for the evacuation process are explored. Numerical studies show that the initial pedestrian distributions can have an effect on the evacuation process and different individual preferences of pedestrians will lead to different pedestrian choices. Even in the same cell, pedestrians’ route and exit choices may be different. Furthermore, some interesting phenomena can be observed, which illustrate that the preference reversals can be depicted in our model.

复杂性，动态性和可变性是行人疏散的基本特征。但是，大多数行人交通模型仍缺乏个体选择过程的解释机制。这项研究涉及行人交通的小区传输模型（CTM）。但是，我们专注于一个新问题，即如何说明每个行人的决策过程。将决策场理论（DFT）作为一种捕获决策过程中决策过程的认知模型，引入到小区传输模型中，并提出了一种基于DFT和CTM的扩展动态行人流分配模型。考虑了行人对距离和拥挤的态度，并探讨了在疏散过程的动态决策中行人的个人偏好。数值研究表明，初始行人分布会对疏散过程产生影响，不同的行人个人偏好会导致不同的行人选择。即使在同一单元中，行人的路线和出口选择也可能不同。此外，可以观察到一些有趣的现象，这些现象说明可以在我们的模型中描述偏好逆转。