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Intelligent data drives key transport decisions

机译:智能数据驱动关键运输决策

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摘要

The FREEFLOW project aims to change our approach to transport data, by using it to generate what we call transport intelligence. Currently traffic authorities are collecting more (and better) data about our transport networks, such as journey times but users need to often know what the data actually means and what they should do about it. This is true for individual travellers and service suppliers as well as network operators and travel information providers.However, present techniques for handling data are often insufficient to help actively manage transport. Instead, users and managers often just react to network problems. Both the travelling public and those responsible for managing networks want new intelligence to help them make better decisions - instead of being told about a queue, drivers want to know how to avoid it and network managers want to know how to control it.
机译:FREEFLOW项目旨在通过使用它生成所谓的运输智能来改变我们的运输数据方法。当前,交通管理部门正在收集关于我们的运输网络的更多(更好)数据,例如出行时间,但用户需要经常知道数据的实际含义和应对措施。这对于单个旅行者和服务提供商以及网络运营商和旅行信息提供商而言都是正确的。但是,当前的数据处理技术通常不足以帮助主动管理运输。相反,用户和管理人员通常只是对网络问题做出反应。旅途中的公众和负责网络管理的人们都希望获得新的情报,以帮助他们做出更好的决策-驾驶员不必知道如何排队,而希望知道如何避免排队,而网络管理员则想知道如何控制它。

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  • 来源
    《Traffic engineering & control》 |2011年第8期|p.340-346|共7页
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  • 收录信息 美国《工程索引》(EI);
  • 原文格式 PDF
  • 正文语种 eng
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