Adreani, L.; Bellini, P.; Bilotta, S.; Bologna, D.; Collini, E.; Fanfani, M.; Nesi, P. Smart City Scenario Editor for General What-If Analysis. Sensors2024, 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.
Adreani, L.; Bellini, P.; Bilotta, S.; Bologna, D.; Collini, E.; Fanfani, M.; Nesi, P. Smart City Scenario Editor for General What-If Analysis. Sensors2024, 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.
Engineering, Transportation Science and Technology
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