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anstosa avatar anstosa commented on May 20, 2024

Yeah the delay number could be more sophisticated. Here's my proposal for a first step for building a predictive model here:

  • Create the model on a nightly basis by pulling all sailing for a given weekly slot for the last 1-2 months (e.g. Saturday at 10:30am or Sunday at 9:30pm)
  • Calculate the average delta in departure delays between the previous slot and the current one (e.g. +11mins or -4mins)
  • Forecast delays by adding the current actual delay for the vessel to average delay delta for that weekly sailing slot

from ferry.fyi.

mileserickson avatar mileserickson commented on May 20, 2024

I'd add: a first principles approach might be based on something like:
(1) It takes crossing_time to load pedestrians, untie, cross, and dock, and unload pedestrians.
(2) Before we can leave on our next trip, we need to unload n_unload cars at a rate of unload_rate per minute.
(3) We also need to load min(capacity, n_waiting) cars at a rate of load_rate per minute.

So the forecast additional delay and/or schedule recovery rate can be directly tied to the forecast vehicle loads.

from ferry.fyi.

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