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