The objective of this study is to provide a better understanding of the potential of using
Artificial Intelligence (AI) to improve Public Transport (PT), by reviewing research literature …

Network-based systems are at the core of our everyday life. Whether it is electronic
networking, electricity grids or transportation, users expect the networks to function properly …

Regarding tools and systems from artificial intelligence (AI), chat-based ones from the area
of generative AI have become a major focus regarding media coverage. ChatGPT and …

Machine learning (ML) solutions have been proposed to make public transportation more
attractive. Works that employ ML in bus transportation focus on various problems, such as …

Bunching affects both public transport users and operators adversely. It increases waiting
time at stops and onboard, reduces travel speed and comfort, costs more, and substantially …

To analyze inherent and diverse patterns within line-based public transport daily delay
occurrences, we introduce a data-driven exploratory analysis focused on the spatial …

Real-time control strategies deal with the day's dynamics in bus rapid transit systems. This
work focuses on minimizing the number of buses of the same line cruising head-to-tail or …

The evolution of headways (time intervals between consecutive vehicles) is an important
performance indicator of public transportation systems. In this paper, we develop a data …

Resumen Citlali Maryuri Olvera Toscano. Candidato para obtener el grado de Doctora en
Ingenierıa de Sistemas. Universidad Autónoma de Nuevo León. Facultad de Ingenierıa …