I am a beginner in the domain of forecasting and I was wondering if such a problem could be solved with time series analysis :
given customer historical data of taxi pickups,along with the weather condition feature, is it possible to analyze their behavior on rainy days and predict their time to leave? (means at what time might a customer x picks up a taxi next time knowing that he went out at 6:42 am yesterday, 7:00 am two days ago, 6:00 am three days ago ...and so on )?
here's how the data looks like globally :
any guidance on how I can do this? is it a problem that can be tackled with time series? given that the problem here consists of predicting the time to leave, unlike their classic usage like sale forecasting and so on.
I would extremely appreciate any advice on methodologies implementing this.