15h30 - 15h55
A bike route choice model using recursive logit
We estimate a bike route choice model based on GPS observations in a real network using recursive logit. Our contributions are: i) numerical estimation results revealing cyclists’ preferences, ii) simulation of bike traffic on network’s links and comparison with observed counts, iii) development of bike accessibility measure from the model.
15h55 - 16h20
Diesel or/and battery electric vehicles: Which mixed technology fleet for city logistics?
Operational constraints are often mentioned as the most critical barrier to the adoption of battery electric vehicles (BEVs) in city logistics. By means of a fleet size and mix vehicle routing problem with time windows adapted to BEVs, we investigate the type of environment where BEVs are the most suited.
16h20 - 16h45
On the value iteration method for recursive route choice models
This talk concerns the use of the value iteration method for estimating recursive route choice models, which are dynamic discrete choice models without discount factor. We establish conditions for the existence of a fixed point solution, and for the convergence of the value iteration method. We also derive the Newton-Kantorovich iterations and develop a switching strategy that allows to quickly solve the value functions for real networks.