Special Issue: “Applications of Big Data in Public Transportation Systems”

Key Points

• The aim is to highlight and summarize the contributions of five papers on big data applications in public transportation systems.
• Reviewed five scientific papers on big data applications in public transportation.
• Analyzed methodologies and findings presented in the papers.
• Identified common themes and innovative approaches to traffic management.
• Showcases various applications of big data in enhancing public transport efficiency.
• Highlights successful case studies from different geographical contexts.
• Illustrates the potential for predictive modeling to improve traffic management.

Abstract