通过多异构移动数据源间的语义互操作性实现智能城市交通管理
Intelligent Urban Traffic Management via Semantic Interoperability across Multiple Heterogeneous Mobility Data Sources
AI总结：
针对多异构移动数据源互操作性不足的问题，提出基于语义网技术的架构，通过多组件解决数据可发现性与标准化集成消费等挑战，在四个欧洲城市验证TANGENT方案并获用户反馈，助力智能交通管理。
摘要：
移动领域数据源的综合利用是为乘客、运输公司和当局提供增值服务的关键。实际上，多个利益相关者运营和维护不同类型的数据，但若干互操作性问题限制了其有效使用。本文提出一种由语义网技术支持的架构，以克服此类问题并促进为移动利益相关者开发集成解决方案。该方案由不同组件构成，解决从数据源可发现性到采用标准化数据格式的集成消费等数据互操作性挑战。我们报告了TANGENT解决方案在四个欧洲城市的实施与验证，该方案为多模式交通动态管理提供数据驱动工具。最后，我们讨论了用户测试该方案的反馈及开发过程中的经验教训。
英文摘要：
The integrated exploitation of data sources in the mobility domain is key to providing added-value services to passengers, transport companies and authorities. Indeed, multiple stakeholders operate and maintain different kinds of data but several interoperability issues limit their effective usage. In this paper, we present an architecture enabled by Semantic Web technologies to overcome such issues and facilitate the development of an integrated solution for mobility stakeholders. The proposed solution is composed of different components that address challenges for enabling data interoperability, from the findability of data sources to their integrated consumption adopting standardised data formats. We report on the implementation and validation in four European cities of the TANGENT solution enabling data-driven tools for the dynamic management of multimodal traffic. Finally, we discuss the feedback received by users testing the solution and the lessons learnt during its development.
机构、总结、中文摘要均由AI分析而来，可能存在错误，请以论文正文为准。
