Seyedshahab Esmaeilnejad

• University of Calgary

We investigate traveler preference heterogeneity for high occupancy toll (HOT) roads in Calgary, Canada. We employ a set of latent class discrete choice models that allows for within-class heterogeneity to be captured. This is the first use of latent class models to understand lane choice along a freeway with managed lanes. The use of a latent clas...

The paper introduces a new framework for analysis of complex urban rail transit networks based on generalized passenger costs. We have developed a robust framework for the long-term planning and modeling of rail transit networks that are idealized in a radio-centric form. The model is used to compare the performance of different rail transit networ...