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Predictabilityf some thoughts on modeling

机译:可预测性关于建模的一些想法

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Dynamic traffic management (DTM) is the management of traffic streams and of the demand for traffic. Real-time data are essential for correct information to drivers and for control of traffic. Not every variable can be measured directly, so models are necessary to calculate missing information or to predict the future state of the network. This paper follows a top down approach. It starts with the policy context. The different DTM-tools considered are grouped according to their effect either on travel demand, modal split or a specific travel mode. Some recent developments are watched with respect to transport research laboratories. We argue that an emphasis should be laid upon a neat development architecture. For this reason we will pay attention to the traffic model FLEXSYT The strong point of this model is the use of a traffic control language which allows for the investigation of any type of control for any type of network. Finally we discuss predictability. It is important to identify what can be predicted reasonably and what not.
机译:动态流量管理(DTM)是对流量和流量需求的管理。实时数据对于为驾驶员提供正确的信息和控制交通至关重要。并非可以直接测量每个变量,因此必须使用模型来计算丢失的信息或预测网络的未来状态。本文遵循自上而下的方法。它从策略上下文开始。根据对旅行需求,模式拆分或特定旅行模式的影响,将考虑的不同DTM工具分组。在运输研究实验室方面,最近的一些发展受到关注。我们认为应该强调整洁的开发体系结构。因此,我们将关注流量模型FLEXSYT。该模型的优点是使用流量控制语言,该语言可用于调查任何类型的网络的任何类型的控制。最后,我们讨论可预测性。重要的是要确定可以合理预测的内容和不能合理预测的内容。

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