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Integrated Microsimulation Modelling of Crowd and Subway Network Dynamics For Disruption Management Support.

机译：集成的人群和地铁网络动力学微观仿真建模，可为中断管理提供支持。

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摘要

In many large cities around the world, public transit networks have been carrying an ever-increasing burden of commuters. This has resulted in large movements of crowds in major transit hubs, and high levels of congestion in systems running near or at capacity. In such situations, service disruptions can negatively impact service and transit users well after they are resolved.;This dissertation presents Nexus, an innovative crowd dynamics and transit network simulation platform, that enables full simulation of all actors in the transit system and integrated dynamic transit assignment, while being both flexible and scalable to handle large-scale networks. Instead of developing new simulators for surface transit, trains and stations, Nexus enables interfacing of existing simulators together to form a network. An agent-based framework was overlaid to allow for responsive agents, while a virtual communication system permitted on-the-fly modifications to transit service operation.;With crowd behaviour in stations key to network performance, new models were constructed to better explain passenger behaviour at two critical locations. First, discrete choice models were developed of passenger choice of stairs versus escalators. Second, a simulation-based model of passenger behaviour on train platforms was developed using a diffusion-inspired approach and accounting for preferred waiting locations. Field data collected across several Toronto subway stations informed both models.;Finally, a proof-of-concept case study was conducted on the Toronto transit network. The impact of disruptions of various lengths at a key platform in the network was examined, and an illustrative example was conducted to show how the system could be used to test strategies to reduce impact on transit passengers.;Currently, transit agencies handle these disruption situations in an ad-hoc fashion. This is due to the lack of a tool capable of analyzing the network-level impacts of response strategies, especially with performance sufficient to handle large-scale systems. Existing tools are limited in their ability to accurately simulate all dynamic facets of the transit network, or model the behaviour of passengers following disruption events. As a result, they do not adequately capture the two-way interaction between crowds and mass transit service, or the complexities of train operation.
机译：在世界上许多大城市，公共交通网络日益增加了通勤者的负担。这导致主要交通枢纽中的人群大量流动，并且在接近或满负荷运行的系统中高度拥挤。在这种情况下，服务中断会对解决服务和运输用户产生负面影响。;本文介绍了Nexus，这是一种创新的人群动态和运输网络模拟平台，可对运输系统中的所有参与者进行全面模拟，并集成动态运输分配，同时既灵活又可扩展以处理大规模网络。 Nexus无需开发用于地面运输，火车和车站的新模拟器，而是可以将现有模拟器连接在一起以形成网络。覆盖了基于代理的框架，以允许响应的代理，而虚拟通信系统则允许即时修改中转服务运营。随着车站人群的行为是网络性能的关键，构建了新模型来更好地解释乘客的行为在两个关键位置。首先，开发了乘客选择楼梯与自动扶梯的离散选择模型。第二，使用基于扩散的方法并考虑了首选的等候位置，开发了基于模拟的列车平台乘客行为模型。跨多个多伦多地铁站收集的现场数据为这两种模型提供了参考。最后，在多伦多公交网络上进行了概念验证案例研究。检查了网络中关键平台上各种长度的中断所造成的影响，并进行了说明性示例，以显示该系统如何用于测试策略以减少对过境旅客的影响;当前，过境机构应对这些中断情况以临时的方式这是由于缺少能够分析响应策略对网络级影响的工具，尤其是其性能足以应付大规模系统的情况。现有工具在准确模拟公交网络的所有动态方面或模拟中断事件后乘客的行为方面的能力有限。结果，它们不能充分反映人群与公共交通服务之间的双向交互作用，也不能充分把握列车运行的复杂性。

著录项

  • 作者

    Srikukenthiran, Sivakrishna.;

  • 作者单位

    University of Toronto (Canada).;

  • 授予单位 University of Toronto (Canada).;
  • 学科 Civil engineering.;Transportation.
  • 学位 Ph.D.
  • 年度 2015
  • 页码 173 p.
  • 总页数 173
  • 原文格式 PDF
  • 正文语种 eng
  • 中图分类
  • 关键词

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