This thesis describes the design and development process of a real-time web dashboard for the integrated monitoring of city infrastructures, with Bari serving as a case study. The aim of this work, developed during an internship at TECSEN (company that deals with the development of Intelligent Transportation Systems), is to provide a dynamic visualization platform that enables relevant authorities to quickly respond to service disruptions in city infrastructure. After introducing the SMACS platform and its modular components, the thesis details the data collection from various devices, such as traffic sensors and MOSYS devices, and the ingestion of external data sources like GTFS. The processed data, managed using Java modules, was then displayed using a web application developed in Angular. Key Performance Indicators (KPIs) like traffic levels, bus delays, and crowding were visualized in a clear and actionable way, offering a powerful tool for city administrators to ensure infrastructure efficiency and timely responses to critical events. The project highlights the integration of a robust Java-based backend for data processing, combined with a flexible and interactive frontend in Angular, resulting in a scalable and user-friendly monitoring solution.
La presente tesi illustra il processo di progettazione e sviluppo di una dashboard web per il monitoraggio integrato delle infrastrutture della città, con Bari come caso di studio. Questo progetto è stato sviluppato durante un tirocinio presso TECSEN (azienda che si occupa di progettazione di Intelligent Transportation Systems) con l’obiettivo di creare una piattaforma che permetta agli enti competenti di monitorare in tempo reale lo stato delle infrastrutture cittadine, consentendo interventi rapidi in caso di anomalie o criticità. Dopo un’introduzione alla piattaforma SMACS, vengono descritti i vari moduli che la compongono, con particolare attenzione ai dispositivi installati (sensori del traffico e dispositivi MOSYS) e ai dati acquisiti esternamente tramite il protocollo GTFS. Successivamente, viene trattata l’elaborazione di tali dati tramite moduli Java, fino alla loro visualizzazione attraverso un’applicazione web sviluppata in Angular. La dashboard consente la visualizzazione di indicatori chiave di performance (KPI), come i livelli di traffico, i ritardi dei mezzi pubblici e il grado di affollamento, fornendo così uno strumento essenziale per garantire l’efficienza operativa delle infrastrutture urbane.
Monitoraggio Integrato delle Infrastrutture Cittadine: il Caso di Bari
BOLZONELLA, ALVISE
2023/2024
Abstract
This thesis describes the design and development process of a real-time web dashboard for the integrated monitoring of city infrastructures, with Bari serving as a case study. The aim of this work, developed during an internship at TECSEN (company that deals with the development of Intelligent Transportation Systems), is to provide a dynamic visualization platform that enables relevant authorities to quickly respond to service disruptions in city infrastructure. After introducing the SMACS platform and its modular components, the thesis details the data collection from various devices, such as traffic sensors and MOSYS devices, and the ingestion of external data sources like GTFS. The processed data, managed using Java modules, was then displayed using a web application developed in Angular. Key Performance Indicators (KPIs) like traffic levels, bus delays, and crowding were visualized in a clear and actionable way, offering a powerful tool for city administrators to ensure infrastructure efficiency and timely responses to critical events. The project highlights the integration of a robust Java-based backend for data processing, combined with a flexible and interactive frontend in Angular, resulting in a scalable and user-friendly monitoring solution.File | Dimensione | Formato | |
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https://hdl.handle.net/20.500.12608/73759