This project investigates a novel method of using a long tether and a medium fixed-wing drone to deliver multiple packages at various weights.
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 project will carry out a literature review on high definition map creation, ahead of further work in this area to facilitate automated driving.
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.
What will be required for strategic transport system models used by State governments under various Working from Home futures?
Development of simulation/optimisation framework to generate the trade-offs derived from the interaction of the optimal number and location of loading bays.
A study in the introduction of a new pickup and delivery technology, Autonomous Mobile Lockers, into an existing city logistics network.
This PhD research concentrates on the development of an ad hoc vehicular network architecture using the PC5 interface of the LTE standard.
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.
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.
The aim of the project is to investigate the situation of Container Shipping Operational Risk upon the application of blockchain technology in the industry.
Research into a network-wide approach to identify critical links and estimate the Macroscopic Fundamental Diagram using flow and density measurements.
Development of demand management & estimation tools for large-scale traffic networks, incorporating macroscopic fundamental diagram-based traffic dynamics.
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.
Development of an improved and reliable methodology for forecasting demand to establishing loading dock requirements in new developments.
A research project exploring how traffic controls can be optimised to accommodate both legacy and autonomous vehicles, plus vulnerable road users.
A project looking at vehicle detection technologies for traffic signal control and smart freeway operations, using comparative analysis and field trials.