Bus transit is a crucial component of transportation networks, especially in urban areas. Bus
agencies must enhance the quality of their real-time bus travel information service to serve …

An important factor that discourages patrons from using bus systems is the long and
uncertain waiting times. Therefore, accurate bus travel time prediction is important to …

Accurate prediction of bus delays improves transit service delivery and can potentially
increase passenger use and satisfaction. To date, models developed for predicting bus …

The prediction of bus single‐trip time is essential for passenger travel decision‐making and
bus scheduling. Since many factors could influence bus operations, the accurate prediction …

This study focuses on developing and evaluating predictive models for bus travel times
adaptable to any transit network, or to new roadway segments without prior travel time data …

An accurate and reliable arrival time prediction of buses to the next bus stops is a valuable
tool for both passengers and operators. Existing studies have some limitations in bus travel …

In recent years, deep learning models proved their ability to solve complex problems in the
areas such as computer vision and natural language processing, and are receiving a lot of …

In the public transportation domain, accurate estimation of travel times helps to manage rider
expectations as well as to provide a powerful tool for transportation agencies to coordinate …

Timely and accurate prediction of bus passenger flow plays a crucial role in uncovering real‐
time traffic demand, presenting an essential and formidable challenge in the realm of bus …

Travel time data is an important factor for evaluating the performance of a public transport
system. In terms of time and space within the nature of uncertainty, bus travel time is …