Yes, especially when historical data is available. Machine learning models can identify patterns that are difficult to capture with manual rules. For example, they may learn how a specific district responds to certain combinations of snowfall, temperature, and ice conditions. However, a good dataset is essential. Without enough historical examples, a simple rule-based approach may actually perform better and be easier to explain to users.