Preprint Article Version 1 Preserved in Portico This version is not peer-reviewed

Smart City Scenario Editor for General What-if Analysis

Lorenzo Adreani
,
Pierfrancesco Bellini
ORCID logo ,
Stefano Bilotta
ORCID logo ,
Daniele Bologna
,
Enrico Collini
ORCID logo ,
Marco Fanfani
ORCID logo ,
Paolo Nesi
* ORCID logo
Version 1 : Received: 20 February 2024 / Approved: 20 February 2024 / Online: 20 February 2024 (14:46:02 CET)

A peer-reviewed article of this Preprint also exists.

Adreani, L.; Bellini, P.; Bilotta, S.; Bologna, D.; Collini, E.; Fanfani, M.; Nesi, P. Smart City Scenario Editor for General What-If Analysis. Sensors 2024, 24, 2225. Adreani, L.; Bellini, P.; Bilotta, S.; Bologna, D.; Collini, E.; Fanfani, M.; Nesi, P. Smart City Scenario Editor for General What-If Analysis. Sensors 2024, 24, 2225.

Abstract

Nowadays cities, due to the increasing urbanization, are facing challenges spanning on multiple domains as mobility, energy, environment, etc. Big data gathered from legacy systems, from geographic information systems, operators, and Internet of Things technologies can be exploited to provide insights to assess the current status of a city, the possibility to perform what-if analysis to observe the impact of possible changes. The few available solutions for formal scenario definition and analysis are limited to single domain analysis and provide proprietary formats and tools. Therefore, in this paper, we present a novel scenario model and editor integrated into the open-source Snap4City.org platform to define general processing and what-if scenarios in order to carry out analysis on different domains. The proposed solution responds to a series of identified requirements and implements NGSIv2 compliant data models and formal description of the urban context. As a case of study, a traffic congestion analysis is provided, confirming the validity and usefulness of the proposed solution.

Keywords

Smart City; Dashboard; What-If analysis; Scenario editor

Subject

Engineering, Transportation Science and Technology

Copyright: This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.

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