Artificial Intelligence


Harnessing the utility of Artificial Intelligence (AI) to improve the decision-making process.

At TRABUS, we’re using predictive analytics, resource optimization and enhanced signal processing to develop AI-enabled capabilities that will increase the affordability, effectiveness, speed and safety of doing business and conducting operations.

Predictive Analytics

By applying mathematical models to data from disparate sources we can build data assets that forecast future events.

With RISE, we’ve created an AI-enabled capability that collects and analyzes relevant navigation information to generate better navigation predictions, forecast river traffic congestion and optimize tow configurations—all improving the voyage planning process that transports our nation’s commodities throughout the U.S. inland waterways.

Using machine learning, deep learning and data visualization, we are transforming the river industry into a culture of data-driven decision-making.

Resource Optimization

At TRABUS, we use prescriptive analytics and decision support systems to help clients gain insight from their business data to optimize resources allocation—man, machine and treasure. We blend data science and prescriptive analytics to make complex decisions not so complex anymore.   

For RISE, our resource optimization calculations have resulted in improved cargo vessel load optimization, better machine maintenance planning and optimal commodity intermodal transportation decision-making.

Enhanced Signal Processing

Enhance signal processing (ESP) techniques have advanced rapidly in recent years and have many applications in the field of artificial intelligence. In software algorithm development, techniques have evolved from adaptive signal processing into machine learning, neural networks and as artificial intelligence. TRABUS engineers are using enhanced detection of frequency hopped signals; real-time image enhancement through multi-frame blind deconvolution; and enhanced detection of unknown wideband signals to improve signal processing. This ESP technique can analyze, measure, modify and manipulate any signal in the digital domain and increase the signal’s efficiency or performance.


Industry Focused Innovations

A state-of-the-art information-sharing solution developed for the U.S. inland waterways. Using predictive analytics tools, machine learning and data visualization, the River Information Services Enterprise (RISE) is transforming the river industry into a culture of data-driven decision-making.