Rural Transit Systems Explore, Benefit from Data Sharing
- Date: 10/07/2024
Transit providers in rural areas are experimenting with data-sharing technology to improve services, by introducing modern features like trip planning…
To plan and execute transportation projects, agencies will need to leverage data in new and sophisticated ways. Using artificial intelligence (AI), machine learning, predictive modeling, data analytics and other advanced data science tools, transportation agencies can develop innovative solutions that help them more easily visualize and understand data, model and predict complex interactions, improve reporting, and optimize investments and infrastructure funding.
While the prospect of building out technology and processes to support data science programs may sound daunting, purpose-built hardware and prepackaged data science software stacks can get data science teams and remote workers up and running within days. These future-proof solutions are secure by design and built to accommodate ever-growing data sets and high-speed processing requirements. Using these tools, transportation organizations will have a solid foundation for moving forward with data science programs that give them the insights they need to turn their vision — and their investments — into solutions that will serve communities and improve quality of life now and for generations to come.
Have more mobility news that we should be reading and sharing? Let us know! Reach out to Sage Kashner (kashner@ctaa.org).
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