Predictive model for rail freight flow.
Client
The problem
The aim of this project is to employ and leverage predictive modelling techniques to discern valuable insights that can guide decision-making processes and have a clear understanding of the port situation in terms of rail freight flows. The focus is on transforming the raw available data into actionable intelligence, facilitating the anticipation of meaningful outcomes for informed decision-making within the given context.
The solution
We are developing a comprehensive big data solution structured across four levels to fulfill the project requirements and needs.
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- Data analysis and pattern detection
- Delay prediction model
- Prediction Dashboard
- Rail Analytics Suite
The four levels of our solution include not only the raw data exploratory analysis with the detection of historic patterns and the development of the delay prediction model, but also visual representation of those activities as a Prediction Dashboard and a Rail Analytics Suite as a complete system.
