50 iMOVE projects underway
We’ve talked about other project number milestones along the journey (see below), but this week we reached the half-century, with 50 projects published. There’s more in the works, and more we’re ready to hit the publish button on, but for now, let’s raise our bat to the crowd, quietly bask in the achievement(s), and push on to the century.
In case you missed the story so far, then:
If you’d like to see a full list of iMOVE projects up and running, visit the List of iMOVE Projects page.
Click on any of the 10 projects below, listed from oldest to latest, to find out more about each of the 10 projects and their scope, and which of our partners are involved in each project.
Autonomous mobile lockers for city logistics
A little like something from a sci-fi film, this PhD project considers a system consisting of couriers working with Autonomous Mobile Lockers (AML) that visit the couriers in the field and transfer parcels to and from the depot. It will also propose a mathematical model to determine the best tours of the AMLs, together with the number of depots required.
This project is being supervised by Professor Michael Bell of the University of Sydney.
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Urban freight: Optimising loading/unloading bays
This project focuses on one type of on-street, freight-dedicated, parking infrastructure: Loading / Unloading bays. It will develop a simulation/optimisation framework to generate the operational and environmental trade-offs derived from the interaction of the optimal number and location of the L/U bays with varying traffic conditions, illegal parking, and the simulation of the decision-making process of freight carriers.
This project is being supervised by Dr Roberto Perez-Franco of Deakin University, and the student is Juan Esteban Muriel Villegas.
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Working from Home: Revising metro strategic transport models
Truly a project for these very times! Working from Home (WFH) has become the new way of working for many in the workforce. What will be required for strategic transport system models used by State governments under various Working from Home futures? This project aims to investigate.
Participants on this project are the Department of Transport and Main Roads (Queensland), and the University of Sydney via the Institute of Transport and Logistics Studies. Research on this project is being led by Professor David Hensher.
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Using real-time data to preserve Aussie berries in transit
How can decision-makers use real-time data about transit conditions and location to make in-transit interventions that help preserve the quality of berries in Australian supply chains? Let’s help out this particular supply chain, and find out!
This project is being supervised by Dr Roberto Perez-Franco of Deakin University, and the student is Rubén Rendón Benavides.
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HD maps for automated driving – literature review
Want driverless cars? Then you’re going to need good maps! This project will carry out a literature review on the subject of map creation, monitoring and maintenance to facilitate automated driving. The outcome of this project is expected to inform the scope of further study on the matter.
Participants on this project are the Department of Transport and Main Roads (Queensland), QUT, and RACQ. Lead researcher on the project is QUT’s Professor Michael Milford.
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Fixed-wing drones and small package delivery
Long-range and endurance package delivery systems have the potential to become part of the mainstream postal systems in the future. This project investigates a novel method of using a long tether and a medium fixed-wing drone to deliver multiple packages at various weights.
This project is being supervised by Dr Matthew Marino at RMIT University, and the student is Samuel Ord.
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Modelling traffic disruption impact: Deep Learning & simulation
This PhD project will focus on the complex problem of predicting the impact of traffic disruptions in large cities using advanced artificial intelligence algorithms and evaluating the best response plan that traffic authorities can make by synergising traffic simulation modelling of various response scenarios. We’re talking Microscopic, we’re talking Mesoscopic, and let’s not leave Macroscopic out in the cold!
This PhD project is being supervised by Adriana-Simona Mihaita at the University of Technology Sydney, and the student is Artur Grigorev.
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Non-invasive vehicle classification solution using tracking radar
This PhD project aims to research and develop new algorithms that can process the raw data generated by the current RT4 radar and assign an accurate Austroads classification to all detected vehicles, in addition to the speed measurement and length returned by the current RT4 algorithms.
This PhD project is being supervised by Alastair Wiggins, Technical Director of Sensys Gatso Australia, and the student is University of Melbourne PhD candidate Victor Deville.
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Next-generation integrated traffic control
This ambitious PhD research focuses on development of an integrated motorway and arterial traffic control, specifically autocalibration algorithms to calibrate the motorway on-ramp and arterial signal parameters, and strategies to integrate motorway and arterial control by treating the entire network as one single network.
This PhD project is being supervised by Associate Professor Ashish Bhaskar of QUT, and the student is Haoran Wang.
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Transport predictive solution Stage 1: Aimsun WA Live pilot
This project with Main Roads Western Australia will see the installation of an Aimsun Live pilot system for Perth CBD, providing real-time simulation-based prediction for the next 60 minutes of traffic at 15-minute intervals.
FIND OUT MORE ABOUT THE PROJECTDiscover more from iMOVE Australia Cooperative Research Centre | Transport R&D
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