REVIEW OF HEAVY VEHICLE TRAFFIC MODELLING
Road tonnages moved overall in Australia are increasing at 4% per year whereas interstate road freight is increasing at 5% per year. On the other hand, there are growing concerns about the adverse environmental impacts of commercial vehicle traffic. Heavy vehicle traffic also contributes to pavement deterioration. Heavy vehicle movements need to be forecasted for planning at local level/site level, corridor and metropolitan level. Freight travel demand model will help identify needs and deficiencies in the freight transportation system. Accurate forecasts of heavy vehicle traffic are important for policy development. This paper has two components. Firstly, it includes a literature review of the issues involved in freight transport and past modelling practices on heavy vehicle traffic including state-of-the-art techniques. Secondly, an analysis of results of recently completed roadside interview survey of trucks with respect to trip distribution phase. (a) For the covering entry of this conference, please see ITRD abstract no. E208315.
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Corporate Authors:
QUEENSLAND, DEPARTMENT OF MAIN ROADS. TECHNICAL TRAINING SOLUTIONS
GPO BOX 1412
BRISBANE, QUEENSLAND Australia 4001 -
Authors:
- RAVINDRAN, R
- CHANDRA, E
- Publication Date: 2002
Language
- English
Media Info
- Features: References;
- Pagination: 25 p.
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Serial:
- ROAD SYSTEM AND ENGINEERING TECHNOLOGY FORUM, 2002, BRISBANE, QUEENSLAND, AUSTRALIA
- Publisher: QUEENSLAND, DEPARTMENT OF MAIN ROADS. TECHNICAL TRAINING SOLUTIONS
Subject/Index Terms
- TRT Terms: Conferences; Demand; Environment; Forecasting; Freight transportation; Heavy vehicles; Mathematical models; Questionnaires; Travel; Trip generation
- Geographic Terms: Australia
- ITRD Terms: 8006: Australia; 8525: Conference; 285: Demand (econ); 2455: Environment; 132: Forecast; 1112: Freight transport; 663: Generated traffic; 9147: Interview; 698: Journey; 1236: Lorry; 6473: Mathematical model
- Subject Areas: Data and Information Technology; Freight Transportation;
Filing Info
- Accession Number: 00963745
- Record Type: Publication
- Source Agency: ARRB
- Files: ITRD, ATRI
- Created Date: Oct 3 2003 12:00AM