Abstract Machine learning (ML) plays the core function to intellectualize the transportation
systems. Recent years have witnessed the advent and prevalence of deep learning which …

Artificial neural network (ANN) has acquired noticeable interest from the research
community to handle complex problems in Construction and Building engineering (CB). This …

Accurate and reliable travel time predictions in public transport networks are essential for
delivering an attractive service that is able to compete with other modes of transport in urban …

Provision of accurate bus arrival information is vital to passengers for reducing their
anxieties and waiting times at bus stop. This paper proposes models to predict bus arrival …

The prediction of bus arrival time is important for passengers who want to determine their
departure time and reduce anxiety at bus stops that lack timetables. The random forests …

Effective prediction of bus arrival time is central to many advanced traveler information
systems. This article presents support vector machines (SVM), a new neural network …

Accurate and real‐time travel time information for buses can help passengers better plan
their trips and minimize waiting times. A dynamic travel time prediction model for buses …

Given the increasing interest in real-time bus arrival information, producing reliable
estimation is essential to maximize the benefits of real-time systems. The primary objectives …

The accuracy of travel time information given to passengers plays a key role in the success
of any Advanced Public Transportation Systems (APTS) application. In order to improve the …

Public transport has become one of the major transport options, especially when it comes to
reducing motorized individual transport and achieving sustainability while reducing …