Improving access and usability of large amounts of traffic data

What is it about?

Transportation research generates large amounts of data, which can be difficult to manage, analyze, and visualize. In this study, we focus on improving how we handle and explore data related to a specific experiment. By using a specialized database designed for time-series data, we were able to make the data easier to access and analyze. This allows researchers to quickly see overall trends in the data while also being able to zoom in for detailed insights when needed. Our work aims to provide a model that can be applied to other transportation and research projects in the future.

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Photo by Joey Kyber on Unsplash

Photo by Joey Kyber on Unsplash

Why is it important?

This work is unique because it addresses the specific challenges of managing big data in transportation research, a timely topic given the increasing complexity of city traffic and the rise of connected vehicles. As cities evolve and face more significant traffic issues, being able to efficiently analyze transportation data is essential for developing better traffic management solutions and improving overall transportation systems. Our research could lead to faster insights and decisions, benefiting not only researchers but also policymakers and urban planners. By making technical findings accessible to a broader audience, we hope to inspire further innovation and collaboration in this critical field.

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