The potential applications of artificial neural networks (ANNs) to intelligent vehicle-highway
systems (IVHS) are evaluated, and the extent of use and the position of ANNs in future IVHS …

The increased interest in artificial neural networks (ANNs) seen in government and private
research as well as business and industry has included relatively little activity in …

This chapter provides a perspective on the development of the application of artificial
intelligence to traffic and transport, based on an overview of over 1000 items of the literature …

One of the major requirements of advanced traveler information systems (ATISs) is a
mechanism to estimate link travel times. This article examines the use of an artificial neural …

University of Vermont t the turn of the 21st century, transportation professionals face
challenges of increasing complexity. Transportation professionals are asked to meet the …

Providing transportation system operators and travelers with accurate travel time information
allows them to make more informed decisions, yielding benefits for individual travelers and …

The purpose of this article is to acquaint the reader with a wide variety of IVHS projects that
are in various stages of planning, demonstration, or actual operation around the world. The …

The artificial neural network (ANN) is one advance approach to freeway travel time
prediction. Various studies using different inputs have come to no consensus on the effects …

Fundamental to the operation of most Intelligent Vehicle-Highway System (IVHS) projects
are advanced systems for surveillance, control and management of integrated freeway and …

It is a well–known fact that difficulties are generally encountered when mathematical
modelling is performed on vehicle systems and subsystems that are inherently non–linear …