Recently, even the road industry has been involved in an evolutionary process, inspired by the novel ‘Industry 4.0’. This transition moves the attention towards big-data and Internet of Things concepts, determining novel data flows and relevant management efforts. In smart roads, modern instrumented vehicles and networks of sensors will provide frequent helpful measures (traffic, weather, condition, accidents, mechanical performance, etc.), with reduced efforts and costs. However, this process is currently at the preliminary phases and several issues raise. Since the management and elaboration of huge amounts of data represent a relevant novel issue, in this study, an original web platform for collection and analysis of road performance data is proposed. This platform can acquire and process several data classes and support maintenance activity planning. This paper focuses on pavement maintenance, to provide a reliable decision support tool for road agencies, alternatively feedable by modern survey equipment and, in future, widespread sensors (when effective smart road sensors are installed on the main highways). The platform has been tested, in a preliminary form, on an existing motorway, considering high-performance survey systems data, with interesting and positive results.

中文翻译：

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道路测量和维护信息管理网络平台：迈向智能道路管理系统的第一步

最近，在小说“工业 4.0”的启发下，甚至道路行业也参与了演变过程。这种转变将注意力转移到大数据和物联网概念上，确定了新的数据流和相关的管理工作。在智能道路中，现代仪表车辆和传感器网络将提供频繁的有用措施（交通、天气、状况、事故、机械性能等），同时减少工作量和成本。然而，这个过程目前处于初步阶段，并提出了几个问题。由于海量数据的管理和细化是一个相关的新问题，因此在本研究中，提出了一个用于收集和分析道路性能数据的原始网络平台。该平台可以获取和处理多个数据类别并支持维护活动计划。本文重点关注路面维护，为道路机构提供可靠的决策支持工具，或者由现代测量设备和未来广泛使用的传感器（当在主要高速公路上安装有效的智能道路传感器时）提供支持。该平台已在现有高速公路上进行了初步测试，并考虑了高性能调查系统数据，并取得了有趣和积极的结果。