Public transport service reliability is crucial for all stakeholders, including users, operators,
and society. Bus bunching, where two or more buses on the same route travel closely …

Big data from smartphone applications are enabling travel behavior studies at an
unprecedented scale. In this paper, we examine pedestrian route choice preferences in San …

Autonomous mobility on demand systems (AMODS) are predicted to face a bright future for
providing convenient individual mobility. Yet, increasing the occupancy rate of AMODS by …

This paper presents a data fusion method to infer the origin and destination zones of transit
trips from smart card data. The fusion framework has disaggregate mixed multinomial logit …

Objectives The burgeoning field of individual level crime location choice research has
required increasingly large datasets to model complex relationships between the attributes …

This paper proposes a fuzzy logic mode choice model combined with a Delphi method to
extract inference rules, representing the evaluation processes performed by experts. The …

The effectiveness of user-oriented traffic routing applications to mitigate traffic congestion in
Intelligent Transportation Systems depends on their degree of adoption, which usually …

Use of the multinomial logit (MNL) functional form is widespread in transportation and land
use demand modeling. As the state-of-the-art evolves away from aggregate forecasting and …

This paper aims to deeply analyze the regularity of residents' daily activity-travel behaviors
to help traffic management departments predict travel demand and evaluate transportation …

In traffic assignment a key role is played by the path choice that simulate the path chosen by
users in relation to the perceived costs. Various models are proposed in literature in order to …