Authors: Dr. Anjali Verma, Prof. Raghavendra Rao
Abstract: In the rapidly evolving landscape of urbanization and digital transformation, transportation systems have become a focal point for innovation and optimization. The advent of Big Data has introduced unprecedented opportunities to monitor, evaluate, and enhance transportation performance in real time. This paper explores the role of Big Data in optimizing transportation system performance through the integration of data analytics, machine learning, and intelligent transportation systems. It delves into the technological infrastructure supporting Big Data, its key applications in transportation planning and management, as well as the challenges and limitations hindering full-scale implementation. Furthermore, the paper outlines future directions and strategic frameworks for utilizing Big Data to build smarter, safer, and more sustainable transport systems for the next generation.
Keywords: Big Data, Transportation Performance, Data Analytics, Intelligent Transportation Systems, Predictive Modeling, Urban Mobility, Smart Infrastructure, Traffic Management
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