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 …

Transportation is an indispensable activity for the socio-economic development of countries.
However, it is one of the most energy consuming and polluting activities and its …

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 …

In this paper, two hypotheses are explored linking urban characteristics to the spatial
structure of warehouses:(i) the location of warehouses (central places or peripheral areas) is …

Using big data in supply chain management (SCM) has the potential to have a significant
impact on the industry in general and international transportation in particular. Big data have …

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 …

To further evolve urban quality of life, this paper explores the potential of crowdsensing and
crowdsourcing in the context of smart cities. To aid urban planners and residents in …

Public transit agencies have amassed substantial data through on-board and off-board
sensors over the years. While data collection was the primary focus, there is now a shift …

The use of public transport data has evolved rapidly over the past decades. Indeed, the
availability of diverse data sources and advances in analytics have led to a greater …

This paper presents a method for extracting transit performance metrics from a General
Transit Feed Specification's Real-Time (GTFS-RT) component and aggregating them to …