Abstract The implementation of Intelligent Transportation Systems (ITS) as a part of smart
mobility is crucial for solving the current problems of the transportation industry. The setting …

Spatiotemporal analysis of passenger mobility patterns provides valuable information
regarding the travel behaviour of passengers at different spatial and temporal scales …

The insight into origin–destination (OD) demand patterns aids transport planners in making
the public transit system more efficient and attractive. This may encourage individuals to shift …

A reliable prediction model is critical for the public transit system to keep it periodically
updated. However, it is a challenging task to develop a model of high precision when there …

A well-planned Intelligent Transport System (ITS), is the need of the hour for solving the
problem of excessive traffic and unacceptable travel durations in public transit systems …

Rainfall prediction plays a pivotal role in agricultural planning, water resource management,
and disaster preparedness, particularly in regions like Mizoram, India, where rainfall …

Rainfall prediction is a major issue in climatological studies because it is connected with
human life and the economy. Unpredicted and extreme rainfall events is a major concern in …

This article addresses the possibility of improving the traditional bus passenger demand
forecasting models by leveraging additional data from relevant big data systems and …

In the era of big data, the exponentially increasing data volume and emerging technical tools
have put forward new requirements for enterprise information management. Therefore, it is …

Since the first confirmed case of COVID-19 in March 2020, the Indonesian government was
trying to prevent its spread by social restrictions. The study aimed to forecast the effect of …