The analysis of extensive vehicle location data in an urban bus system requires an efficient
data-driven method so that its output can be used to improve both the information and …

Providing transport users and operators with accurate forecasts on travel times is
challenging due to a highly stochastic traffic environment. Public transport users are …

To effectively manage and control public transport operations, understanding the various
factors that impact bus arrival delays is crucial. However, limited research has focused on a …

With the significant updates of location-acquisition technologies, there are more spatial-
temporal trajectory data available. Spatial-temporal stream plays a crucial role in the …

The concept of Smart Cities is a trend in large cities. Intelligent Transportation Systems)
plays an essential role in providing accurate information on bus travel times. It improves the …

Providing expected time of arrival (ETA) information to passengers/operators with the help of
the latest technologies is reported as a way to improve the effectiveness of the public …

Accurate transit arrival time prediction is a critical factor for improving the quality of transit
services. A significant factor that can affect transit arrival times is the other vehicles traveling …

In maritime logistics, accurately predicting the Estimated Time of Arrival (ETA) of vessels is
pivotal for optimizing port operations and the global supply chain. This study proposes a …

Autonomous vehicles utilize a large amount of data from Machine Learning, Neural
networks, Image recognition systems for building the techniques that can drive …

Accurate bus travel time prediction in real-time is challenging, as numerous factors such as
fluctuating travel demand, incidents, signals, bus stops, dwell times, and seasonal variations …