During the last 20 years, many studies and experiences, keeping in account all factors playing an important role (salt quality, environment, infrastructures, etc.), have determined the best practices for deicing and snow clearing parameters. These procedures describe the best dosages and percentages for salt and brine, and those relating to real road conditions or forecasts, but the same road can, in fact, have a different morphology depending on the weather and actual road location all within a short time frame. These differences require the operator to intelligently manage the spreader, adjusting dosage, asymmetry, spread width, solid/liquid dosage, etc. meter by meter. With the advent of digital and later machine learning, the doors have opened to innovate production processes. Public works has benefited from it for several years, now winter road maintenance can also benefit from the latest technology.

At the conclusion of this session, participants will be better able to:

• Discuss the use of AI in winter snow and ice control applications.
• See how the latest technology using AI in snow and ice control applications can create a safer work environment for plow truck operators and safer and cleaner roads for citizens.
• Choose to use the latest technology that can result in a decrease in salt and brine usage, thus benefiting budgets and the environment.

Contributor/Source

Nicholas Ballas

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