This presentation introduces the use of cutting-edge artificial intelligence (AI) techniques for facilitating snow and ice removal. The basics and use of key techniques like convolutional neural network, transformer, and reinforcement learning will be introduced in an easy-to-understand way. In particular, we will show the application of such techniques for various aspects of typical winter maintenance operations including prediction of road surface condition, autonomous decision-making based on data, and evaluation of winter operation efficiency. All of these will be delivered as a tour to an open-source web-based app, which has been developed via a research project sponsored by the Federal Highway Administration (FHWA). The audience will be offered interactive hands-on experience during the session. Professionals from FHWA are also expected to join the session. Proficiency Level: Advanced Evaluation Link: https://www.surveymonkey.com/r/TBBLWZH

By attending this session, participants will be better able to:
• Summarize the possible use of artificial intelligence (AI) techniques in winter maintenance.
• Demonstrate the use of AI for facilitating their daily snow and ice removal jobs.
• Communicate with domain experts and government officials about the needs, developments, use, and promotion of winter maintenance tools boosted with AI and data.

Contributor/Source

Hossein Tavakoli-Researcher, Muchun Liu-Graduate Research Assistant, Yuhao Ren, Zhen (Leo) Liu-Associate Professor of Civil and Environmental Engineering

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