This PhD project will analyse archived GTFS data to identify significant inefficient road designs and exemplary designs for optimising performance
Overviews, progress reports, and general info for research and development projects carried out by iMOVE and its partners, in the areas of: Intelligent Transport Systems, Freight and Logistics, and Personal and Public Mobility.
This research will focus on enhanced depiction of pedestrian and active mode interactions with vehicular traffic across a variety of road infrastructure scenarios.
This PhD research aims to investigate new methods for managing urban congestion and reducing emissions through innovative transport pricing policies.
This project aims to improve travel demand calibration and accuracy of 24 hour/ 7 days network simulation models for any hour of any day.
This PhD research will develop and apply advanced econometric models in estimating injury severity models for active travellers.
The iMOVE project Australia’s Public Transport Disability Standards and CAVs project has been completed, and final reports are available for download.
In this PhD project data analytics on Bluetooth trajectories and traffic states will be applied to empirically estimate the assignment matrix for the network.
This project will identify the barriers to women entering & progressing within the transport sector workforce, & audit/evaluate government initiatives in this area.
This PhD project aims to develop a system with a data-driven human driver behaviour model that can help detect the attention level of drivers.
This PhD project will focus on smart adoption of MaaS with the purpose of providing vulnerable travellers with equitable mobility services.
Development/delivery of a low-cost IoT-based system for live tracking & condition monitoring of freight consignments across multiple carriers & transport modes.
This project will look at views and perceptions of seafarers’ challenges and training requirements as a critical driver of ITS in the autonomous shipping domain.
This project aims to update and expand the TRavel, Environment and Kids study (TREK) conducted in Perth in 2005.
This project will offer a real-time decision support tool for traffic operations centres to predict network congestion, and evaluate the possible responses.
This project explores new/emerging technologies offering a true frictionless ticketing experience across multiple modes for disabled public transport customers.
The objective of this PhD study is to develop an eco-driving system for a mixed traffic consisting of CAVs and human-driven vehicles (HVs) on urban roads.