The objective of this project is to develop a sound methodology to measure share of high-speed travel on roads with a minimum safety rating of 3 stars.
Download the three final reports from iMOVE’s ‘Improved network performance prediction through data-driven analytics and simulation’ project.
Professor David Hensher looks at how new technologies and business models might be best-used to achieve the aim(s) of reducing traffic congestion.
The report from IMOVE’s first completed project, the MaaS and On-Demand Transport Consumer Research & Report, has been published.
The traditional model of road ownership will be under pressure over the next 15 years. How do we ensure that any changes are equitable and safe?
This project aims to improve the ability of road authorities to predict network performance in the short-term using data-driven analytics and to estimate the impact of automated vehicles (AVs) in longer-term predictions.
Professor David Hensher discusses whether shared transport options will indeed reduce congestion, and the roles of autonomous vehicles and public transport in the new mobility ecosystem.
In the first of a series of six articles, Professor David Hensher, Director of the University of Sydney, outlines the opportunities, and the challenges, of new transport technologies and business models in the fight against traffic congestion.