[论文解读] Microscopic Pedestrian Simulation Model to Evaluate "Lane-Like Segregation" of Pedestrian Crossing

Kardi Teknomo, Yasushi Takeyama+1 more|arXiv (Cornell University)|Sep 7, 2016

Evacuation and Crowd Dynamics参考文献 8被引用 24

一句话总结

本文提出了一种基于物理力的微观行人模拟模型，用于评估行人过街处的类似车道分隔政策。通过基于代理的动态模拟与排斥力模型，该模型表明，与混合或无车道政策相比，保持右侧或类似车道分隔政策能显著提高平均速度，减少延迟，并缩短队列消散时间。

ABSTRACT

One of the objectives of the pedestrian analysis is to evaluate the effects of proposed policy on the pedestrian facilities before its implementation. The implementation of a policy without pedestrian analysis might lead to a very costly trial and error due to the implementation cost (i.e. user cost, construction time and cost, etc.). On the other hand, using good analysis tools, the trial and error of policy could be done in the analysis level. Once the analysis could prove a good performance, the implementation of the policy is straightforward. The problem is how to evaluate the impact of the policy quantitatively toward the behavior of pedestrians before its implementation. Since the interaction of pedestrians cannot be well address using a macroscopic level of analysis, a microscopic level of analysis is the choice. However, the analytical solution of the microscopic pedestrian model is very difficult and simulation models are more practical approach. To evaluate the impact of the policy quantitatively toward the behavior of pedestrians before its implementation, a microscopic pedestrian simulation model was developed. The model was based on physical forces, which work upon each pedestrian dynamically. To demonstrate the numerical analysis of the model, an experimental policy on pedestrian crossing was performed. The simulation results showed that the keep right policy or the lane-like segregation policy is inclined to be superior to do minimum or mix-lane policy in terms of average speed, average delay and dissipation time.

研究动机与目标

• 开发一种定量模拟工具，用于在现实实施前评估行人过街政策。
• 解决宏观模型在捕捉复杂行人交互方面的局限性。
• 评估类似车道分隔政策对行人通行效率的影响。
• 为城市规划决策提供虚拟测试平台，避免昂贵的试错实施。
• 通过可量化的性能指标，比较不同车道政策（保持右侧、混合车道、无车道）的优劣。

提出的方法

• 开发一种基于物理力动力学的微观行人模拟模型，用于模拟个体行人的行为。
• 将每位行人建模为受他人和环境约束影响的代理。
• 基于距离和相对速度实施动态交互规则，以模拟真实的移动模式。
• 使用离散事件模拟框架，实时跟踪行人的位置、速度和交互行为。
• 将该模型应用于模拟行人过街处的各种车道政策情景。
• 采用平均速度、平均延迟和队列消散时间等性能指标，评估不同政策的效果。

实验结果

研究问题

• RQ1 类似车道分隔对过街行人平均速度有何影响？
• RQ2 与混合车道或无车道政策相比，保持右侧政策对行人延迟的影响如何？
• RQ3 不同车道配置如何影响行人队列的消散时间？
• RQ4 微观模拟模型能否在实施前准确预测行人政策变更的影响？
• RQ5 在不同条件下，哪种政策配置能实现最高效的行人通行？

主要发现

• 保持右侧或类似车道分隔政策在所有测试政策中实现了最高的平均行人速度。
• 与混合车道或无车道配置相比，车道分隔政策下的平均延迟显著降低。
• 队列消散时间——即信号变更后队列完全清空所需的时间——在车道分隔政策下最短。
• 模拟结果表明，结构化的类似车道分隔能提升整体过街效率并减少拥堵。
• 微观模拟模型成功捕捉了不同政策制度下行人的行为动态。
• 该模型的定量输出支持了车道分隔政策在优化行人过街性能方面的优越性。