WizRD is a flexible and extensible platform developed within the MUSA project to support personalized and context‑aware services in urban environments. It integrates heterogeneous data sources and enables the development of applications that combine user preferences with contextual information such as weather, traffic, and road conditions. Its modular architecture supports functionalities like user profiling, route simulation, and interactive data visualization, making it suitable for both user‑oriented services and urban planning. An initial use case focused on personalized pedestrian navigation, offering routes tailored to individual preferences such as safety, comfort, or accessibility. A second use case demonstrates the platform’s potential for urban planning, using data visualization and analysis to guide infrastructure placement and to identify effective locations for advertisement billboards based on target groups.
Maltagliati, J., Leporati, A., Micucci, D. (2025). WizRD: An Interactive Data Analysis Platform for Urban Environments. Intervento presentato a: Italian Conference on ICT for Smart Cities & Communities (I-CiTies 2025), Gaeta, Italia.
WizRD: An Interactive Data Analysis Platform for Urban Environments
Jacopo Maltagliati;Alberto Leporati;Daniela Micucci
2025
Abstract
WizRD is a flexible and extensible platform developed within the MUSA project to support personalized and context‑aware services in urban environments. It integrates heterogeneous data sources and enables the development of applications that combine user preferences with contextual information such as weather, traffic, and road conditions. Its modular architecture supports functionalities like user profiling, route simulation, and interactive data visualization, making it suitable for both user‑oriented services and urban planning. An initial use case focused on personalized pedestrian navigation, offering routes tailored to individual preferences such as safety, comfort, or accessibility. A second use case demonstrates the platform’s potential for urban planning, using data visualization and analysis to guide infrastructure placement and to identify effective locations for advertisement billboards based on target groups.| File | Dimensione | Formato | |
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Maltagliati-2025-I CiTies-prepint.pdf
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