Recently, the smart city has evolved as a global model and several institutions have adopted
this concept to facilitate the citizens with the comfort and quality of life exploiting the progress …

Forecasting Spatio-Temporal processes has been attracting a great deal of interest within
the research community. In this context, there is an increasing trend of proposing and …

The human‐computer interaction has become inevitable in digital world. HCI helps humans
to incorporate technology to resolve even their day‐to‐day problems. The main objective of …

Bus Dwell Time (BDT) is a vital and most important contributing part of Bus Travel Time
(BTT). Forecasting BDT is key for applications that predict the arrival time of buses at bus …

Spatio–temporal forecasting is a challenging task that requires modeling complex
interactions between multiple time series. While graph-based models have emerged as …

Evaluating the performance of public transportation, such as bus lines for example, is a
major issue for Public Transportation operators. To be able to integrate specific and local …

Public transit service is a sustainable and eco-friendly alternative for commuting, and
promoting its usage is the need of the day. An understanding of the variability of travel time …

Analysing bus travel time is essential for providing valuable information to users for effective
journey planning. This study aimed to analyse bus travel time in Klang Valley, Malaysia …