Modeling and simulation play an important role in transportation networks analysis. With the widespread use of personalized real-time information sources, the status of the simulation depends heavily on individual travelers reactions to the received information. As a consequence, it is relevant for the simulation model to be individual-centered, and agent-based simulation is the most promising paradigm in this context. Information is now personalized, and the simulations have to take into account the interaction of individually guided passengers. In this paper, we present a multiagent simulation model to observe and assess the effects of real-time information provision on the passengers in transit networks. These effects are measured by simulating several scenarios according to the ratio of connected passengers to a real-time information system. We represent the passengers and the vehicles as agents in the system. We analyze the simulated scenarios following their effect on the passengers travel times. The information provided to the connected passengers is based on a space-time representation of the transportation networks. Results show that real-time personalized information may have an increasingly positive impact on overall travel times following the increasing ratio of connected passengers. However, there is a ratio threshold after which the effect of real-time information becomes less positive.

中文翻译：

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公交网络实时乘客信息的多代理仿真

建模和仿真在交通网络分析中起着重要作用。随着个性化实时信息源的广泛使用，模拟的状态在很大程度上取决于个人旅行者对接收到的信息的反应。因此，模拟模型以个人为中心是相关的，基于代理的模拟是这种情况下最有前途的范式。信息现在是个性化的，模拟必须考虑到单独引导乘客的互动。在本文中，我们提出了一个多代理模拟模型来观察和评估实时信息提供对公交网络中乘客的影响。这些影响是通过根据连接的乘客与实时信息系统的比率模拟多个场景来衡量的。我们将乘客和车辆表示为系统中的代理。我们分析了模拟场景对乘客旅行时间的影响。提供给连接乘客的信息基于交通网络的时空表示。结果表明，随着连接乘客比例的增加，实时个性化信息可能对整体旅行时间产生越来越积极的影响。但是，存在一个比率阈值，在此阈值之后，实时信息的影响会变得不那么积极。结果表明，随着连接乘客比例的增加，实时个性化信息可能对整体旅行时间产生越来越积极的影响。但是，存在一个比率阈值，在此阈值之后，实时信息的影响变得不那么积极。结果表明，随着连接乘客比例的增加，实时个性化信息可能对整体旅行时间产生越来越积极的影响。但是，存在一个比率阈值，在此阈值之后，实时信息的影响变得不那么积极。