The increasing demand for transportation due to population growth has led to traffic congestion, increased travel time, and traffic accidents. Smart road systems that leverage advanced technologies such as IoT, AI, and big data analytics have emerged as promising solutions to optimize transportation efficiency and sustainability. This thesis focuses on the analysis of IT infrastructure requirements for a smart road communication system deployed by ANAS SpA, which uses Decentralised Environmental Notification Messages (DENM) and Cooperative Awareness Message (CAM) messages to communicate with vehicles. The study areas are the A91 and SS51 highways, where assumptions are made based on traffic flow data and message frequency to estimate the number of messages generated per day by connected vehicles. The study considers the future growth of connected vehicles to provide strategic insights for the development of a storage system to store and process messages. Each message has a storage space of 5kb, and the study highlights the need for a large infrastructure to store, read, and extract insights from the messages. The analysis provides critical information to support strategic decision-making on the development of an IT infrastructure for the smart road communication system. The findings of this thesis have significant implications for policymakers, transportation planners, and engineers, emphasizing the importance of investing in IT infrastructure to support the deployment of smart road systems. This study also provides a foundation for future research on IT infrastructure requirements for smart road systems, paving the way for the development of more sophisticated and effective solutions to address the challenges of transportation in the future.
La crescente domanda di trasporto a causa della crescita della popolazione ha portato a congestione del traffico, aumento del tempo di percorrenza e incidenti stradali. I sistemi stradali intelligenti che sfruttano tecnologie avanzate come IoT, AI e analytics big data sono emersi come soluzioni promettenti per ottimizzare l'efficienza e la sostenibilità dei trasporti. Questa tesi si concentra sull'analisi dei requisiti dell'infrastruttura IT per un sistema di comunicazione Smart Road implementato da ANAS SpA, che utilizza messaggi Decentralised Environmental Notification Message (DENM) e Cooperative Awareness Message (CAM) per comunicare con i veicoli. Le aree di studio sono le autostrade A91 e SS51, dove vengono fatte delle ipotesi basate sui dati di flusso del traffico e sulla frequenza dei messaggi per stimare il numero di messaggi generati al giorno dai veicoli connessi. Lo studio considera la crescita futura dei veicoli connessi per fornire informazioni strategiche per lo sviluppo di un sistema di archiviazione per memorizzare e processare i messaggi. Ogni messaggio ha uno spazio di archiviazione di 5kb, e lo studio evidenzia la necessità di un'ampia infrastruttura per archiviare, leggere ed estrarre informazioni dai messaggi. L'analisi fornisce informazioni critiche per supportare la presa di decisioni strategiche sullo sviluppo dell'infrastruttura IT per il sistema di comunicazione Smart Road. I risultati di questa tesi hanno significative implicazioni per i policy maker, i pianificatori dei trasporti e gli ingegneri, sottolineando l'importanza di investire nell'infrastruttura IT per supportare l'implementazione dei sistemi stradali intelligenti. Questo studio fornisce inoltre una base per ricerche future sui requisiti dell'infrastruttura IT per i sistemi stradali intelligenti, aprendo la strada allo sviluppo di soluzioni più sofisticate ed efficaci per affrontare le sfide dei trasporti in futuro.
Smart roads data exchange analysis
Sirigireddy, Manjith Kumar Reddy
2022/2023
Abstract
The increasing demand for transportation due to population growth has led to traffic congestion, increased travel time, and traffic accidents. Smart road systems that leverage advanced technologies such as IoT, AI, and big data analytics have emerged as promising solutions to optimize transportation efficiency and sustainability. This thesis focuses on the analysis of IT infrastructure requirements for a smart road communication system deployed by ANAS SpA, which uses Decentralised Environmental Notification Messages (DENM) and Cooperative Awareness Message (CAM) messages to communicate with vehicles. The study areas are the A91 and SS51 highways, where assumptions are made based on traffic flow data and message frequency to estimate the number of messages generated per day by connected vehicles. The study considers the future growth of connected vehicles to provide strategic insights for the development of a storage system to store and process messages. Each message has a storage space of 5kb, and the study highlights the need for a large infrastructure to store, read, and extract insights from the messages. The analysis provides critical information to support strategic decision-making on the development of an IT infrastructure for the smart road communication system. The findings of this thesis have significant implications for policymakers, transportation planners, and engineers, emphasizing the importance of investing in IT infrastructure to support the deployment of smart road systems. This study also provides a foundation for future research on IT infrastructure requirements for smart road systems, paving the way for the development of more sophisticated and effective solutions to address the challenges of transportation in the future.| File | Dimensione | Formato | |
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Smart Road Data Exchange Analysis.pdf
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Descrizione: Smart road data exchange analysis performed at ANAS Spa using Python for data science application to estimate the infrastructure capacity.
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https://hdl.handle.net/10589/211927