The COVID-19 pandemic has disrupted society as we knew it in a variety of ways, with
especially severe impacts on low-income households. Even before COVID-19, Metro Boston …

With a few exceptions, public transport ridership around the world has been hit hard by the
COVID-19 pandemic. Travellers are now likely to adapt their behaviour with a focus on …

Public transport is considered as one of the most suitable candidates to benefit from
autonomous driving technologies. In this research, we develop a mathematical modeling …

Public transport is one of the most disrupted sectors of the COVID-19 pandemic with
reported ridership drops up to 90% in majorly affected countries. As many government …

Overcrowding is a major phenomenon affecting travel experience in urban public transport,
whose negative impacts can be potentially mitigated with real-time crowding information …

COVID-19 has brought severe disruption and demand suppression to mobility, especially to
public transport (PT). A key challenge now is to restore trust that PT is safe again. This paper …

Urban public transportation agencies sometimes have to operate mixing vehicles of different
sizes on their routes, due to resource limitations or historical reasons. Services with different …

Most crowding measures in public transportation are usually aggregated at a service level.
This type of aggregation does not help to analyze microscopic behavior such as exposure …

A common problem in public transport systems is bus bunching, characterized by a negative
feedback loop between service headways, number of boarding passengers and dwell times …

Overcrowding has become a big challenge for public transport systems, affecting
passengers' travel experience. At the same time, service supply is often underutilized due to …