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Investigate methods of using headway as an input to the prediction of dwell times. #74
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Working on this on branch tc_issue_72. Trying Recursive least-squares (RLS) from smile (http://haifengl.github.io/smile) to prediction dwell times. The input to this is (headway,dwell time). |
Running test against route 66 MBTA, which is one of their higher frequency routes. |
Based on guidance from @simonberrebi I am trying (headway, log10(dwell time)) as the input to RLS. |
This shows that there is no bias in this prediction method and the spread of prediction error grows consistently with horizon and is well contained. Based on this I am going to merge the related pull request. This change will not effect the default prediction method. I had this run for a number of weeks against MBTA route 66. |
Merged. |
…otstrap_implementation Updated Trip RunTimes Report with the new design utilizing Bootstrap_380
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