Intelligent scheduling and optimisation system: a big data-cloud framework for adaptive urban traffic management

Key Points

• The research aims to develop a framework for optimizing urban traffic management using big data technologies.
• Developed an intelligent scheduling system
• Utilized a cloud framework for data processing
• Integrated big data analytics for traffic flow assessment
• Demonstrated improved traffic flow efficiency
• Enhanced adaptability in traffic management strategies
• Indicated potential for reduced congestion and travel times

Abstract