Time series outlier / anomaly detection

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I have traffic speed time series data for each day of the week over several months, with data samples about every 30 seconds. I'd like to find periods of time (subsequences) where the speed is much slower than usual. Any recommendations for algorithms that would be well suited to this problem? Thanks

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