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)?
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
Thank you sir. You are great !
Michel, you are an amazing teacher. Super well explained.
Wow, thank you!
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