Mobility Control Centre and Artificial Intelligence for Sustainable Urban Districts-Reference-Cited by-同舟云学术

Mobility Control Centre and Artificial Intelligence for Sustainable Urban Districts

Published:2023-10-21 Issue:10 Volume:14 Page:581
ISSN:2078-2489
Container-title:Information
language:en
Short-container-title:Information

Author:

Cirianni Francis Marco Maria¹^ORCID,Comi Antonio²^ORCID,Quattrone Agata¹

Affiliation:

1. Department of Civil, Environmental and Mechanical Engineering, University Mediterranea, 89100 Reggio Calabria, Italy

2. Department of Enterprise Engineering, University of Rome Tor Vergata, 00133 Rome, Italy

Abstract

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.

Publisher

MDPI AG

Subject

Information Systems

Link

https://www.mdpi.com/2078-2489/14/10/581/pdf

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