This paper presents a novel microscopic modelling framework for bicycle flow operations. The modelling principles are based on similar principles successfully applied in our previous work on pedestrian and vessel flow. The main contributions of the paper are in the extension towards modelling cyclists that has not been proposed in literature before, and in the insights gained by simulation with the model using different scenarios, showing how the model outcomes depend on the modelling choices and parameters.

The generalisation entails two major changes compared to our previous pedestrian model. First of all, the model does justice to the kinematics of cyclists. Contrary to pedestrians, cyclist are more restricted in their movement. The model approximates these restrictions by considering speed and movement direction and changes therein. Secondly, the model includes different strategies (cooperative, zero-acceleration, demon opponent) in its underlying game-theoretical framework, and allows including traffic rules. This allows us to model different attitudes towards risk representing different types of cyclists.

The (qualitative) insights gained by application of the model pertain to one-on-one interactions between cyclists and the impact of the strategy assumptions and parameter choices on those interactions as well as on the collective phenomena that occur in the cyclist flow and their sensitivity to parameters (reflecting the extent of the prediction horizon, the level of anisotropy, and the relative importance of keeping the desired path). With respect to the collective phenomena, we look at efficiency and self-organised patterns.

We conclude that the model acts in a plausible manner. While we do not aim to show empirical validity, we see that the qualitative behaviour of one-on-one interactions is plausible if compared to experimental or field data. We also observe plausible collective patterns, including forms of self-organisation under specific parameter settings. The latter is not trivial given the fundamental differences in bicycle and pedestrian flow.

本文提出了一种新颖的自行车流动操作微观建模框架。建模原理基于在先前关于行人和船只流量的工作中成功应用的相似原理。本文的主要贡献在于扩展了以前文献中未提出的建模自行车手的知识，以及通过使用不同场景对模型进行仿真所获得的见解，显示了模型结果如何取决于建模选择和参数。

与我们之前的行人模型相比，泛化带来了两个主要变化。首先，该模型对骑自行车的人的运动学具有公义性。与行人相反，骑车人的行动受到更多限制。该模型通过考虑速度和运动方向及其变化来近似这些限制。其次，该模型在其潜在的博弈论框架中包含不同的策略（合作，零加速，恶魔对手），并允许包含交通规则。这使我们可以对代表不同类型骑自行车者的风险态度采取不同的态度。

通过应用该模型获得的（定性）见解与骑车人之间的一对一互动以及策略假设和参数选择对这些互动以及骑车人流动中发生的集体现象及其敏感性的影响有关。参数（反映预测范围的程度，各向异性的程度以及保持所需路径的相对重要性）。关于集体现象，我们看效率和自组织模式。

我们得出结论，该模型以合理的方式起作用。虽然我们不打算显示经验有效性，但我们发现，与实验数据或现场数据相比，一对一相互作用的定性行为是合理的。我们还观察到合理的集体模式，包括在特定参数设置下的自组织形式。考虑到自行车和行人流量的根本差异，后者并不重要。