A Reference Architecture for Data-Driven Intelligent Public Transportation Systems

IF 4.6 Q2 COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE
Franca Rocco Di Torrepadula;Sergio Di Martino;Nicola Mazzocca;Paolo Sannino
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引用次数: 0

Abstract

Smart cities include complex ICT ecosystems, whose definition requires the cooperation of several software systems. Among them, Intelligent Public Transportation Systems (IPTS) aim to effectively exploit public transit resources. Still, adopting an IPTS is non-trivial. Off-the-shelf IPTS are often tied to specific technologies and, thus, not easy to integrate within existing software ecosystems. Moreover, despite IPTS introduce several peculiar issues, there is a lack of domain-specific reference architectures, which would significantly ease the work of practitioners. To fill this gap, starting from the experience gained with the Hitachi Rail company in deploying a large-scale IPTS, we identify a set of requirements for IPTS, and propose a domain-specific reference architecture, compliant with these requirements, whose primary objective is facilitating and standardizing the design of IPTS, by providing guidelines to IPTS designers. Consequently, it eases also the interoperability among different IPTSs. As an example of an IPTS obtainable from the architecture, we present a solution currently deployed by Hitachi in a major Italian city. Still, being independent from the specific considered urban scenario, the architecture can be easily instantiated in different cities with similar needs. Finally, we discuss some research challenges which should be further investigated in this domain.
数据驱动型智能公共交通系统参考架构
智能城市包括复杂的信息和通信技术生态系统,其定义需要多个软件系统的合作。其中,智能公共交通系统(IPTS)旨在有效利用公共交通资源。然而,采用 IPTS 并非易事。现成的 IPTS 通常与特定技术绑定,因此不容易集成到现有的软件生态系统中。此外,尽管 IPTS 引入了一些特殊问题,但缺乏针对特定领域的参考架构,这将大大减轻从业人员的工作。为了填补这一空白,我们从日立铁路公司部署大规模 IPTS 的经验出发,确定了 IPTS 的一系列要求,并提出了符合这些要求的特定领域参考架构,其主要目的是通过为 IPTS 设计人员提供指导,促进 IPTS 的设计并使之标准化。因此,它还能简化不同 IPTS 之间的互操作性。我们以日立公司目前在意大利某大城市部署的 IPTS 为例,介绍该架构。尽管如此,由于独立于所考虑的特定城市场景,该架构可以很容易地在具有类似需求的不同城市中实施。最后,我们讨论了该领域应进一步研究的一些挑战。
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CiteScore
5.40
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