Smart Urban Mobility Management project: a concrete step towards more sustainable and connected communities

M. D’Apuzzo, Giuseppe Cappelli, S. Buzzi, V. Nicolosi
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Abstract

Global events in recent years have shown how, for both small and large communities, it is important to ensure mobility of people and goods safer and more respectful of environmental balance. The “Smart Urban Mobility Management” (S.U.M.Ma) Project is designed in this direction. The pilot project, which takes place into the Municipality of Artena, aims to design and test highly innovative tools such as drones, H-D (High Definition) smart cameras, IoT (Internet of Things) Sensors on 5G network and AI (Artificial Intelligence) tools, by integrating environmental datasets, information systems and local databases and taking into account the mobility of traffic flows, the energy efficiency and the control of environmental parameters. In this paper, the general structure of the system architecture has been presented, and the traffic model of the Municipality of Artena has been developed and preliminarily calibrated, with “surrogate” flows. Furthermore, the algorithms for the post-processing of the traffic flows and real-time updating of the traffic model have been introduced. Although the project is still in the closing phase, the results obtained so far show that the proposed system is easily replicable in other Municipalities and it could be an effective tool for the increasingly green and smart management of modern communities.
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智慧城市交通管理项目:朝着更加可持续和互联的社区迈出的具体一步
近年来的全球事件表明,无论对大小社区来说,确保人员和货物的流动性更安全、更尊重环境平衡是多么重要。“智慧城市交通管理”(s.u.m.a a)项目就是在这个方向上设计的。该试点项目在Artena市进行,旨在通过整合环境数据集、信息系统和本地数据库,并考虑到交通流量的移动性、能源效率和环境参数的控制,设计和测试高度创新的工具,如无人机、H-D(高清)智能摄像头、5G网络上的IoT(物联网)传感器和AI(人工智能)工具。本文提出了系统架构的总体结构,并开发了Artena市的交通模型,并对其进行了初步校准,其中包含“代理”流。此外,还介绍了交通流的后处理和交通模型的实时更新算法。虽然该项目仍处于收尾阶段,但迄今为止获得的结果表明,所提出的系统很容易在其他城市复制,并且可以成为现代社区日益绿色和智能管理的有效工具。
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