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The effect of information uncertainty in road transportation systems

机译:信息不确定性对道路运输系统的影响

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Developments in Intelligent Transportation Systems (ITS), navigation devices and traffic sensors make it possible for traffic participants to not just access real time information regarding the traffic situation but, at the same time, also provide data back to the transportation system. This creates a feedback loop that can have significant consequences on the system performance in terms of total average travel time. In the current paper, the effect that different types of information inaccuracy can have on the system performance is investigated. The different sources of inaccuracy are categorised into there groups: sparsity of data sources, collection and presentation inaccuracy. Subsequently, an agent-based microscopic traffic simulation is used to explore the effects that each type of inaccuracy can have on the transportation system. Experiments reveal certain interesting observations. Firstly, less than 20% of the traffic participants need to be data sources for optimal system performance. It was also discovered that lower precision of information presented to participants is sufficient and, in certain cases, better for system performance. This can have important implications on how information is displayed on navigation devices. (C) 2016 Published by Elsevier B.V.
机译:智能交通系统(ITS),导航设备和交通传感器的发展使交通参与者不仅可以访问有关交通状况的实时信息,而且还可以将数据提供回交通系统。这会形成一个反馈回路,就总平均行程时间而言,这可能会对系统性能产生重大影响。在本文中,研究了不同类型的信息不准确对系统性能的影响。误差的不同来源分为以下几类:数据源的稀疏性,收集和表示的误差。随后,基于代理的微观交通模拟被用于探索每种类型的不准确性对运输系统的影响。实验揭示了一些有趣的发现。首先,只有不到20%的流量参与者需要数据源才能获得最佳的系统性能。还发现,呈现给参与者的信息的较低精度就足够了,并且在某些情况下,对于系统性能而言更好。这可能对导航设备上信息的显示方式产生重要影响。 (C)2016由Elsevier B.V.发布

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