Efficient transportation planning and management are critical for ensuring the smooth
operation of rail transit systems, particularly in urban areas with high passenger demand …

The COVID-19 pandemic has imposed a dramatic effect on the mobility habits of both
passengers and freight in the rail sector. Since the relaxation of COVID-19 restrictions …

This paper presents results from a case study of fare revenue prediction in public
transportation in Berlin using machine learning and time series analysis. Our work aims to …

Accurate prediction of public transit ridership is vital for efficient planning and management
of transit in rapidly growing urban areas in Canada. Unexpected increases in passengers …

Accurate transfer time prediction and future transfer time information are important for both
public transport operators and passengers. However, existing studies cannot effectively …

More highway built in the mountains in recent years, the driving risk in the tunnel group is
becoming a new issue. This paper analyzed the driving risk in the mountain highway tunnel …

ABSTRACT Automatic Train Operation (ATO) is well-known in urban railways and gets
increasing interest from mainline railways at present to improve capacity and punctuality. A …

In the data-rich but knowledge-poor domain of production management systems, the
utilization of machine learning (ML) for lead-time prediction has gained increasing attention …

Conventional demand-prediction methods predominantly rely on past user behaviors to
predict regular future transportation demands using acquired user preference data …

Efficient transportation planning and management are critical for ensuring the smooth
operation of rail transit systems, especially in urban areas with high passenger demands …