Multicriteria-nested model to forecast classified traffic using low cost information.

Author(s)
Aldian, A. & Taylor, M.A.P.
Year
Abstract

The new version of HDM-4 highway development and management package needs traffic volumes of different types of vehicles (motorised and non-motorised). The HDM-4 uses an arithmetic growth rate to estimate traffic volume, which is suitable for short-term planning only and may be inconsistent with cost benefit analysis applied in the system. For the above reasons, a traffic count based model could be the most suitable model. On the other hand, traffic count based models are often criticised because of a lack of behavioural basis and policy insensitivity, so that it is possible to produce demand model that is inconsistent with the planning purpose. This paper introduces a structured traffic count based model that combines multicriteria analysis and the nested logit model. The combination could give a behavioural interpretation to the model and increase its policy sensitivity, produce a model that is consistent with the planning process and, most importantly, is capable of forecasting classified traffic. (Author/publisher) For the covering entry of this conference, please see ITRD abstract no. E210528.

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Publication

Library number
C 29095 (In: C 29076 CD-ROM) /71 /72 / ITRD E210547
Source

In: CAITR-2003 : [proceedings of the] 25th Conference of the Australian Institutes of Transport Research, University of South Australia, Transport Systems Centre, 3-5 December 2003, 12 p.

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