There is much debate concerning the applicability of IVHS to
public transport improvements. In particular, Computerised
Public Transport Management Systems (CPTMS) are being seen
by many as the answer to some of the ...
This working paper contains the collected papers presented at the
19th Conference of the Australian Institutes of Transport Research
hosted by the Institute of Transport Studies Monash University
between 24th and 26th ...
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, ...
This paper reports the results of an exploratory investigation
into the demand for packaged travel. Traditional models of
travel demand tend to adopt a simple specification of “price”
as a uni-dimensional construct. ...
With a “middle class” of 200 million people in a large country where travel
between the major population centres by surface transport can be arduous, India
has a potentially large domestic airline market. In the post-World ...
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 ...
Privatisation and corporatisation strategies are part of an ongoing
microeconomic reform program aimed at commercialising and
raising efficiency in the public sector. Within this ethos, ownership
and efficiency are ...
Taplin, John H. E.; Hensher, David A.; Smith, Brett(1997-08)
Travel price and time elasticities are increasingly being derived from discrete
choice models of the multinomial or nested logit form. These elasticities are then
applied to obtain predictions of changes in travel demand ...
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 ...