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Exploring synergy relationships between telematic services and functionalities using cluster analysis

机译:使用聚类分析探索远程信息处理服务和功能之间的协同关系

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摘要

A method for assessing potential synergies among different sets of transport telematic services (TTSs) is suggested. An Intelligent Transport System enhances transport by delivering one or more TTSs. The ability to deliver multiple TTSs to address a wide range of stakeholder needs is gaining momentum, not only from a marketing perspective but also from a technological perspective. The total cost of TTSs can be reduced if they share functionalities (i.e., sub-services provided by telematic systems). We show how this synergy can be assessed with the help of clustering methods. Knowledge about possible synergies of functionalities is useful in the (re)design and eventual deployment of TTSs, especially when the underlying telematic systems are able to support multiple TTSs. To adapt the clustering method for this purpose, we suggest a mathematical formulation of synergy among functionalities of TTSs. By applying the method to a set of 32 TTSs, we obtain a cluster formation of these TTSs according to their synergy measures. Overall, the results suggest that the joint implementation of TTSs targeted toward some problem domains can lead to significant cost savings, for example, Road User Charging, Infrastructure Repair and Maintenance, and Information on the Transport of extra large goods for the management of road transport infrastructure.
机译:建议一种用于评估不同组的远程交通服务(TTS)之间潜在协同作用的方法。智能运输系统通过交付一个或多个TTS来增强运输。提供多种TTS来满足广泛的利益相关者需求的能力不仅从营销角度而且从技术角度来看都在迅速发展。如果TTS共享功能(即,远程信息处理系统提供的子服务),则可以降低其总成本。我们展示了如何借助聚类方法评估这种协同作用。有关功能的可能协同作用的知识在TTS的(重新)设计和最终部署中很有用,尤其是当底层远程信息处理系统能够支持多个TTS时。为了使聚类方法适合于此目的,我们提出了TTS功能​​之间协同作用的数学公式。通过将该方法应用于一组32个TTS,我们根据它们的协同措施获得了这些TTS的簇形成。总体而言,结果表明针对某些问题领域的TTS的联合实施可以节省大量成本,例如,道路使用者收费,基础设施维修和保养以及用于道路运输管理的超大型货物运输信息基础设施。

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