This paper outlines a new approach to reducing car use in order to address environmental concerns. The individual action programme, known as travel blending, aims to encourage individuals to choose a mixture, or blend, ...

One of the difficulties in the development of artificial neural network (ANN) models is that, unlike statistical modelling where estimates of sample size can be initially computed, the number of samples or observations ...

One of the challenges in using field data for the development of neural network incident detection models is to be able to train models that can handle the noisy nature of the loop detector data. The noise in the ...

This paper provides an example of how TDM could be applied in Australia with particular reference to university campuses. After considering the different characteristics of Australian university campuses in general, ...

Common measures of performance of incident detection algorithms are detection rate, false alarm rate and mean time-todetect. These measures are not independent and it is therefore necessary to determine the underlying ...

Travel demand management (TDM) addresses the problems of energy consumption and pollution associated with increased motor vehicle use through strategies focused on improving asset utilisation, physical restraint, pricing, ...

Vic Roads Drive Time is an operational ITS system that dynamically calculates travel times on Melbourne freeways and conveys them to motorists in real time on roadside Changeable Message Signs. While the system has ...

Students undertaking a final year elective subject in Transportation Planning at Monash University in Melbourne, Australia, were given the opportunity to work on a practical project for which there was an interested ...