This study addresses the problem of calibrating utility-maximizing nested logit activity-based
travel demand model-systems. After estimation, it is common practice to use aggregate …

Traffic microsimulation models normally include a large number of parameters that must be
calibrated before the model can be used as a tool for prediction. A wave of methodologies …

The project aims to comprehensively model the activity-travel patterns of workers as well as
nonworkers in a household. The activity-travel system will take as input various land-use …

The development of integrated land use–transport model systems has long been of interest
because of the complex interrelationships between land use, transport demand, and …

Transport models inherit uncertainties due to a variety of assumptions, inputs and their
structural properties. With the increase in complexity of modern travel demand models, the …

By discussing statistical concepts in the context of transportation planning and operations,
Transportation Statistics and Microsimulation provides the necessary background for making …

In recognition of the expected benefits to transportation planning, a system for modelling
commercial movements is being developed in a joint effort involving the Cities of Edmonton …

Adverse weather conditions severely affect transportation networks. Decades of research
have been dedicated to analyzing these impacts and developing countermeasures to …

The most common travel demand model type is the trip‐based model, despite major
shortcomings due to its aggregate nature. Activity‐based models overcome many of the …

Recent advances in agent-based micro-simulation modeling have further highlighted the
importance of a thorough full synthetic population procedure for guaranteeing the correct …