Big Data Management for Sustainable Transportation

Alfasi, Tawfiq Anbia Bilez (2023) Big Data Management for Sustainable Transportation. [Laurea magistrale], Università di Bologna, Corso di Studio in Civil engineering [LM-DM270], Documento full-text non disponibile
Il full-text non è disponibile per scelta dell'autore. (Contatta l'autore)


Sustainable transportation is a critical component of global efforts to address climate change and promote sustainable development. In addition to environmental concerns, the transportation sector also faces challenges related to safety and efficiency. According to the World Health Organization, approximately 1.35 million people die each year due to road traffic accidents (World Health Organization, 2021). Additionally, transportation systems are often plagued by congestion and inefficiencies, leading to wasted time and resources. By utilizing big data analytics, transportation organizations can address these challenges by optimizing transportation systems, reducing congestion, and enhancing public transportation systems. The use of big data management in transportation has grown in recent years due to the exponential growth in data generated by transportation systems. According to a report by McKinsey Company, the global transportation sector generates over 10 petabytes of data per year, with this figure projected to grow rapidly in the coming years. This data includes information on traffic patterns, energy consumption, and emissions, among other things. By utilizing big data analytics, transportation organizations can gain insights into this data, leading to enhanced decision-making, improved efficiency, and reduced environmental impact. Thus, big data management has the potential to transform the transportation industry by addressing challenges related to sustainability, safety, and efficiency. By providing insights into transportation patterns, energy consumption, and emissions, transportation organizations can enhance decision-making and reduce their environmental impact. However, there are also several challenges that must be addressed to implement big data management solutions successfully. By addressing these challenges, transportation organizations can ensure that transportation remains a vital and sustainable component of modern society.

Tipologia del documento
Tesi di laurea (Laurea magistrale)
Autore della tesi
Alfasi, Tawfiq Anbia Bilez
Relatore della tesi
Correlatore della tesi
Corso di studio
Ordinamento Cds
Parole chiave
Big Data,Sustainable Transportation,5V’s,Internet of Things
Data di discussione della Tesi
20 Luglio 2023

Altri metadati

Gestione del documento: Visualizza il documento