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.
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.
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.
The Data Aggregation Pilot Project is an investigation of how industry freight data can be harnessed to inform infrastructure planning & policy priorities.
A feasibility study looking at the possibility of diverting some freight tasks from the road network to utilising spare capacity on public transport.
The object of this project is to define conceptually the elements of the future transport and mobility environment in the form of a discussion paper.
A project to adapt key existing planning tools, guidelines and frameworks to account for the uncertainty of changing trends and emerging technologies.
This project will result in the building of a storymap to prepare for the safe navigation of passive level crossings by autonomous freight vehicles.