Using real-time data to preserve Aussie berries in transit
This PhD project aims to explore how berry supply chain decision-makers may use real-time data and make in-transit interventions to preserve quality.
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.
Working from Home: Revising metro strategic transport models
What will be required for strategic transport system models used by State governments under various Working from Home futures?
Urban freight: Optimising loading/unloading bays
Development of simulation/optimisation framework to generate the trade-offs derived from the interaction of the optimal number and location of loading bays.
Autonomous mobile lockers for city logistics
A study in the introduction of a new pickup and delivery technology, Autonomous Mobile Lockers, into an existing city logistics network.
Vehicular network architecture using the 5G standard
This PhD research concentrates on the development of an ad hoc vehicular network architecture using the PC5 interface of the LTE standard.
Transformative commercial urban delivery solutions
This research aims to identify and evaluate new solutions for commercial urban deliveries to meet the demand of last-mile and surging e-commerce markets.
Econometrics, land use inputs, and strategic transport models
This project’s aim is to improve the households & business land use activity inputs to transport modelling provided by a spatial econometric land use model.
Risks in blockchain-integrated container shipping systems
The aim of the project is to investigate the situation of Container Shipping Operational Risk upon the application of blockchain technology in the industry.
Macroscopic Fundamental Diagram: Measuring flow and density
Research into a network-wide approach to identify critical links and estimate the Macroscopic Fundamental Diagram using flow and density measurements.
Demand management/estimation in large-scale traffic networks
Development of demand management & estimation tools for large-scale traffic networks, incorporating macroscopic fundamental diagram-based traffic dynamics.
Multimodal operation of smart intersections
A PhD research project aiming to build a model/platform using real-time feeds of all mode movements from smart intersections to optimise signal control.
Evaluating loading dock capacity in new developments
Development of an improved and reliable methodology for forecasting demand to establishing loading dock requirements in new developments.
The business of Mobility as a Service: A project update
An update on our project, ‘MaaS business models: Lessons for operators and regulators’, along with a downloadable report.
Optimising signal control in CAV and VRU mixed environments
A research project exploring how traffic controls can be optimised to accommodate both legacy and autonomous vehicles, plus vulnerable road users.
Sydney MaaS trial is midway through
iMOVE’s Sydney MaaS trial has been running for some months, and today an interim report on the project has been released.
Enhanced vehicle detection at traffic signals and on smart freeways
A project looking at vehicle detection technologies for traffic signal control and smart freeway operations, using comparative analysis and field trials.