可持续城区交通控制中心与人工智能

IF 2.4 Q3 COMPUTER SCIENCE, INFORMATION SYSTEMS

Information (Switzerland) Pub Date : 2023-10-21 DOI:10.3390/info14100581

Francis Marco Maria Cirianni, Antonio Comi, Agata Quattrone

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引用次数: 1

摘要

将人工智能(AI)应用于动态移动管理可以支持实现效率和可持续性目标。人工智能可以帮助实时建模替代的移动系统场景(通过在很短的时间内处理来自异构来源的大数据)，并通过比较类似背景下的现象来识别网络和服务配置，以及支持实施管理需求的措施，以实现可持续目标。本文通过基于新兴技术和人工智能的IT(信息技术)框架对场景进行了深入分析，以支持可持续和合作的数字移动。因此，定义了基于人工智能的移动控制中心的功能体系结构，并给出了在中大型城市中实现的过程。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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Mobility Control Centre and Artificial Intelligence for Sustainable Urban Districts

The application of artificial intelligence (AI) to dynamic mobility management can support the achievement of efficiency and sustainability goals. AI can help to model alternative mobility system scenarios in real time (by processing big data from heterogeneous sources in a very short time) and to identify network and service configurations by comparing phenomena in similar contexts, as well as support the implementation of measures for managing demand that achieve sustainable goals. In this paper, an in-depth analysis of scenarios, with an IT (Information Technology) framework based on emerging technologies and AI to support sustainable and cooperative digital mobility, is provided. Therefore, the definition of the functional architecture of an AI-based mobility control centre is defined, and the process that has been implemented in a medium-large city is presented.

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来源期刊

Information (Switzerland) Computer Science-Information Systems

CiteScore

6.90

自引率

0.00%

发文量

515

审稿时长

11 weeks