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.
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.
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.
An update on our project, ‘MaaS business models: Lessons for operators and regulators’, along with a downloadable report.
A research project exploring how traffic controls can be optimised to accommodate both legacy and autonomous vehicles, plus vulnerable road users.
iMOVE’s Sydney MaaS trial has been running for some months, and today an interim report on the project has been released.
A project looking at vehicle detection technologies for traffic signal control and smart freeway operations, using comparative analysis and field trials.
Safety and congestion are two of the key challenges on our networks and there is strong potential for connectivity and C-ITS to help.
This proof-of-concept project aims to develop a Vehicle to Bicycle (V2B) communication system to reduce collisions and enhance driver awareness of cyclists.
A PhD research program investigating physical interactions between Connected and Automated Vehicles and Vulnerable Road Users in order to assess safety.