Smart traffic pattern learning enables logistics operators to use machine-learning algorithms to identify recurring congestion patterns, peak-hour effects, and network bottlenecks from telematics data and historical traffic records.
Source: https://www.ibm.com/blogs/internet-of-things/smart-traffic-pattern-learning
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