WEBINAR: Optimising our freight networks in disruptive times
How will the freight and logistics sector meet the evolving demands being placed on our supply chains, and how to do this in the most efficient manner?
How will the freight and logistics sector meet the evolving demands being placed on our supply chains, and how to do this in the most efficient manner?
Watch, and read, the answers to all of the questions from our recent webinar, Mobility as a Service: Progress and new insights from an Australian trial.
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.
Traffic data helps us know exactly what the pandemic is doing to our transport networks, and how we can learn to make them stronger in disruptions.
A research project exploring how traffic controls can be optimised to accommodate both legacy and autonomous vehicles, plus vulnerable road users.
Safety and congestion are two of the key challenges on our networks and there is strong potential for connectivity and C-ITS to help.