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Agent-Based Traffic Operator Training Environments for Evacuation Scenarios

机译:基于主体的疏散场景交通操作员培训环境

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摘要

Realistic simulation environments play a vital role in the effective training of traffic controllers to respond to large-scale events such as natural disasters or terrorist threats. BAE SYSTEMS is developing a training environment that comprises of: a physical traffic control centre environment, a3D visualisation and a traffic behaviour model. In this paper, we describe how an agent-based approach has been essential in the development of the traffic operator training environment, especially for constructing the required behavioural models. The simulator has been applied to an evacuation scenario, for which an agent-based model has been developed which models a variety of relevant driver evacuation behaviours. These unusual behaviours have been observed occurring in real-life evacuations but to date have not been incorporated in traffic simulators. In addition, our agent-based approach includes flexibility within the simulator to respond to the variety of decisions traffic controllers can make, as well as achieving a strong degree of control for the scenario manager.
机译:逼真的模拟环境在有效培训交通管制员以应对大规模事件(例如自然灾害或恐怖威胁)方面发挥着至关重要的作用。 BAE SYSTEMS正在开发一种培训环境,其中包括:物理交通控制中心环境,a3D可视化和交通行为模型。在本文中,我们描述了基于代理的方法如何在交通操作员培训环境的开发中必不可少,特别是对于构建所需的行为模型而言。该模拟器已应用于疏散场景,为此开发了基于代理的模型,该模型对各种相关的驾驶员疏散行为进行了建模。这些异常行为已在实际疏散中观察到,但迄今为止尚未纳入交通模拟器中。此外,我们基于代理的方法还包括模拟器内的灵活性,以响应流量控制器可以做出的各种决定,并为场景管理器实现强大的控制能力。

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