- Network operations research needs
- Freight industry research needs
This overall purpose of this project is to provide unique experimental data on the effects of exposure to and trial of a SAEV on older people’s attitudes, intentions, and behaviours relating to SAEV use.
For transport planners and government transport agencies, the uncertainties of emerging technologies and changing trends challenge conventional transportation decision-making, both for long- and short-term planning. The purpose of this project is to adapt key existing planning tools, guidelines and frameworks to account for uncertainty of changing trends and emerging technologies. This will enable the Transport Portfolio of WA to better manage transport infrastructure investment risks.
The project will investigate alternative vehicle detection technologies for traffic signal control and smart freeway operations through a comparative desktop analysis and field trials of shortlisted technologies at two locations (intersection and freeway). This research will be used to inform decisions on future traffic network investments, primarily through the future enhanced detection installation business case and delivery strategy, particularly for future smart freeway projects.
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The project will improve the interactions between urban transport and land use systems, especially at the level of individual decision makers (households and enterprises). It will approach this through the provision of advanced econometric support in a practical implementation of a bid-rent model structure and parameter estimation as part of a newly established land use model. This will produce robust and high-quality household and business activity inputs to transport modelling.
This is necessary to facilitate the understanding of impacts of new and emerging transport technologies and behaviour changes (including the effects of autonomous vehicles, shared vehicle ownership, shared car driving and ride-sharing, and voluntary household behavioural change), enabling the land use model to better estimate behavioural responses through the incorporation of location choices of households and business.
This research will contribute to providing an enhanced understanding of:
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