Dr. Bierlaire you are the best. I have been involved with SP studies for the past 34 years from Park and Ride , LRT , BRT , early or late start time ( peak spreading) , risk averse propensity at signalised junctions. having conducted over 30K SP surveys myself on the past 34 years I always have had questions and never found transparent answers concerning theory and estimation but you are a super start who explains leaving nothing un-answered. A Big Thanks
This video is super helpful, but there's one thing I'm still confused about. We have U_bus = V_bus + epsilon_C, so that the person is choosing max(V_car + epsilon_car, V_bus + epsilon_C + epsilon_bus), but at 12:00, you are computing P(car) as if the decision was max(V_car + epsilon_car, V_bus + epsilon_bus). What happened to epsilon_C? Do we cleverly construct epsilon_bus in such a way that epsilon_C + epsilon_bus ~ EV(0, mu)?
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Dr. Bierlaire you are the best. I have been involved with SP studies for the past 34 years from Park and Ride , LRT , BRT , early or late start time ( peak spreading) , risk averse propensity at signalised junctions. having conducted over 30K SP surveys myself on the past 34 years I always have had questions and never found transparent answers concerning theory and estimation but you are a super start who explains leaving nothing un-answered. A Big Thanks
Dr. Bierlaire, thank you so much for creating these videos - they are super helpful!
Great teacher. I am very happy that I found your great channel.
thank you for explaining the concept in simple terms. Really good video
Michel, you are an amazing teacher. Super well explained.
Wow, thank you!
Thank you sir. You are great !
Thank you, sir, can you make videos on sensitivity analysis in different modes using time or cost attribute. I have not found any coding there. thanks
This video is super helpful, but there's one thing I'm still confused about. We have U_bus = V_bus + epsilon_C, so that the person is choosing max(V_car + epsilon_car, V_bus + epsilon_C + epsilon_bus), but at 12:00, you are computing P(car) as if the decision was max(V_car + epsilon_car, V_bus + epsilon_bus). What happened to epsilon_C? Do we cleverly construct epsilon_bus in such a way that epsilon_C + epsilon_bus ~ EV(0, mu)?
please focus on error term