Traffic flow in major urban roads is affected by several factors. It is often interrupted by
stochastic conditions, such as traffic lights, road conditions, number of vehicles on the road …

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 …

This paper presents a comprehensive review of research studies related to the application of
artificial neural networks (ANNs) to public transportation (PT) since 2000. PT applications …

Accurate travel-time prediction of public transport is essential for reliable journey planning in
urban transportation systems. However, existing studies on bus travel-/arrival-time prediction …

Multiple regression models are estimated to analyse bus travel times in an urban network.
We identify variables that have a significant influence on the variation of bus travel time, and …

Public transport buses have uncertainties associated with its arrival/travel times, due to
several factors such as signals, dwell times at bus stops, seasonal variations, fluctuating …

The accuracy of Bus Traveler Information Systems (BTIS) depends on several factors such
as accuracy of the input data, speed of data transfer, data quality control and performance of …

The steady growth in population, motorization and demand causes great traffic problems,
mainly in large metropolitan areas. Transport authorities focus on more effective utilization of …

New services and applications within vehicular environments employ multiple wireless
communication systems, within a heterogeneous network framework. In this context …

Train timetables and operations are defined by the train running time in sections, dwell time
at stations, and headways between trains. Accurate estimation of these factors is essential to …