With prospective applications ranging from improving the understanding of the daily and
seasonal dynamics of noise exposure to raising public awareness of the associated health …

The emergence of smart cities is set to transform transportation systems by leveraging real‐
time traffic data streams to monitor urban dynamics. This complements traditional …

As the need for sustainable transportation solutions grows, public bicycle sharing (PBS)
becomes increasingly important in urban transportation system design. Public bicycle …

This paper presents a new simulation-based approach to address the stochastic Dynamic
Traffic Assignment (DTA) problem, focusing on large congested networks and dynamic …

This paper presents a simulation-based optimization framework for city-scale real-time
estimation and calibration of dynamic demand models by focusing on disaggregated …

Purpose The research aims at finding out the extent to which such urban transformation
projects—in terms of their design components and aspects—contribute to providing big data …

This study proposes a method to extract driving signals from audio signals by eliminating
non-driving noises through noise reduction techniques. The proposed methodology utilizes …

The COVID-19 pandemic triggered a seismic shift in global commuting and travel habits,
ushering in significant changes in transportation demand. These alterations in travel …

The World Health Organization aims to cut traffic-related accidents by 50% as part of its
2030 Agenda for Sustainable Development. It is possible to observe the movement of …