Advanced data analytics: Real-time demand calibration/prediction
This project aims to improve travel demand calibration and accuracy of 24 hour/ 7 days network simulation models for any hour of any day.
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.
Role of heterogeneity in active travellers’ injury severity analysis
This PhD research will develop and apply advanced econometric models in estimating injury severity models for active travellers.
CAVs: Barriers and opportunities for people with disability
The iMOVE project Australia’s Public Transport Disability Standards and CAVs project has been completed, and final reports are available for download.
Empirical modelling of traffic states and route choice behaviour
In this PhD project data analytics on Bluetooth trajectories and traffic states will be applied to empirically estimate the assignment matrix for the network.
Government initiatives to support women in the transport sector
This project will identify the barriers to women entering & progressing within the transport sector workforce, & audit/evaluate government initiatives in this area.
Advanced driver state monitoring system
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.
MaaS and PT integration: Focus on vulnerable travellers
This PhD project will focus on smart adoption of MaaS with the purpose of providing vulnerable travellers with equitable mobility services.
Low-cost IoT-based solution for tracking and monitoring of freight
Development/delivery of a low-cost IoT-based system for live tracking & condition monitoring of freight consignments across multiple carriers & transport modes.
Seafarer training for autonomous shipping: Needs & challenges
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.
The TRavel, Environment and Kids (TREK) Study: 15 years on
This project aims to update and expand the TRavel, Environment and Kids study (TREK) conducted in Perth in 2005.
Transport predictive solution Stage 2: AI and real-time simulation
This project will offer a real-time decision support tool for traffic operations centres to predict network congestion, and evaluate the possible responses.
Frictionless ticketing for public transport accessibility
This project explores new/emerging technologies offering a true frictionless ticketing experience across multiple modes for disabled public transport customers.
Co-operative eco-driving system for mixed traffic on urban roads
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.
Development and use of cooperative perception for CAVs
Cooperative perception is an emerging and promising technology for CAVs. Its further development has been the focus of a recently completed iMOVE project.
Evaluating urban freight impacts via sustainable alternatives
This PhD project proposes an urban distribution model based on the combination of a logistics platform and a network of Mobile Depots that use light vehicles.
Electric vehicles: Supporting uptake, investigating smart charging
This PhD project looks to investigate how EV owners use and charge their vehicles, and more broadly, Australian consumers’ willingness to purchase an EV.