Predictive analytics utilizing machine learning algorithms play a pivotal role in various
domains, including the profiling of carbon dioxide (CO2) emissions. This research paper …

Predicting future urban health status is significant in terms of identifying urban diseases and
urban planning. Current studies have focused on using machine learning and deep learning …

Reliable traffic flow forecasting is paramount in Intelligent Transportation Systems (ITS) as it
can effectively improve traffic efficiency and social security. Its vital challenge is to effectively …

Financial data forecasting is conducive to get a better understanding of the future economic
situation. Recently, variational mode decomposition (VMD) is introduced into the field of …

With the advent of the Internet of Things (IoT), it has become possible to have a variety of
data sets generated through numerous types of sensors deployed across large urban areas …

Abstract Accurate prediction of Public Transport (PT) mobility is important for intelligent
transportation. Nowadays, mobility data have become increasingly available with the …

Buses are one of the important parts of public transport system. To provide accurate
information about bus arrival and departure times at bus stops is one of the main parameters …

With the rapid expansion of sensor technologies and wireless network infrastructure,
research and development of traffic associated applications, such as real-time traffic maps …

Transportation plays a key role in today's economy. Hence, intelligent transportation systems
have attracted a great deal of attention among research communities. There are a few …

Abstract Predictions on Public Transport (PT) ridership are beneficial as they allow for
sufficient and cost-efficient deployment of vehicles. On an operational level, this relates to …