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

An accurate estimation of bus dwell time (BDT) is important as it directly influences the
prediction of vehicles' arrival times at bus stops and hence, the reliability of their services …

Arrival/Travel times for public transit exhibit variability on account of factors like seasonality,
dwell times at bus stops, traffic signals, travel demand fluctuation etc. The developing world …

This study aimed to develop travel time prediction models for transit buses to assist decision-
makers improve service quality and patronage. Six-months' worth of Automatic Vehicle …

Bus commercial speed is among the most influencing parameters of public transport quality
of service. Literature has highlighted many different factors that affect bus speed in different …

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 …

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 …

The goal of this study is to create a dynamic model that can accurately forecast the estimated
time of arrival of a bus at a specific bus stop using data obtained from the global positioning …

Accurate prediction of arrival time of buses is still a challenging problem in dynamically
varying traffic conditions especially under Indian traffic conditions. The present study …

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 …