In this paper, we analyse the specific behaviour of passengers in personal transport
commuting to work or school during the COVID-19 pandemic, based on a sample of …

Forecasting counts data in transportation areas can enrich passenger information for public
transport passengers, who may thus better plan their trips. Moreover, forecasting with …

Focusing on bottleneck of express package delivery in rural regions, this study proposes a
new potential solution, namely, Collaboration of Delivery and Sale (CDS), which integrates …

Football (soccer) stocks are substantially subject to investor sentiment stemming from
football fields. Evaluating sentiment functions help us understand how investors interpret …

In recent decades, there has been substantial population growth, leading to a higher volume
of vehicles on the roadways. This has contributed to traffic congestion issues, affecting not …

In surface mining, blasting is the most common and economical method for rock excavation
and fragmentation. Nevertheless, the ground vibration caused by blasting is the major …

A crucial role in the BRT transportation system's planning, development, and operation is the
prediction of passenger numbers. Using time-series data, it is necessary to develop careful …

Process data are generally subjected to noise during the measuring, transmission and
processing procedures, which may lead to the deterioration and even failure of the process …

The objective of this research is to compare supervised learning algorithms in rural and
urban areas. Road accidents have become a major concern and the main cause of mortality …

Emerging electric powertrain technology applied to motor vehicles, together with recent
technological advances in battery technology and electric motor design, has significantly …