This paper introduces a multi-dimensional continuous activity scheduling choice modeling
framework. The paper is focused on modeling the joint choice of arrival to an activity and …

Destination and departure time choices are interrelated decisions that affect urban travel
demand estimation. Most previous studies ignore this interrelation and assume that these …

In this thesis, we propose a novel algorithm for stochastic routing optimized for autonomous
vehicles. The key idea of stochastic routing is to include information on travel time reliability …

The purpose of this study is to introduce a more flexible joint distribution for a probit model
with more than two equations, or a so-called SUR probit model. The main idea of the …

The mixed-logit model is a flexible tool in transportation choice analysis, which provides
valuable insights into inter and intra-individual behavioural heterogeneity. However …

Drilling activity produces a significant amount of road traffic through unpaved and paved
local roads. Because oil production is an important contributor to the local economy in the …

Traditional methods for travel demand estimation are often built on socioeconomic and
travel information. The information required to conduct such studies is costly and rarely …

Climate change adaptations by farmers are usually analysed with multinomial choice
models, which ignore heterogeneity and 'mixing'across alternatives and individuals …