A framework of support to scale in Mobility as a Service
This project seeks to consider the ideal MaaS framework to benefit users and providers in a sustainable way, acknowledging all parts of the MaaS ecosystem.
This project seeks to consider the ideal MaaS framework to benefit users and providers in a sustainable way, acknowledging all parts of the MaaS ecosystem.
Develop and field test a large animal activated roadside monitoring and alert system for detecting large animals on roadsides and alerting motorists in advance.
This PhD project will look at algorithms to estimate the position/intention of pedestrians essential for the safe interaction between CAVs and pedestrians.
Research into customer-focused safe operation of CAVs in various urban environments to improve road user safety & inform NSW of road readiness for CAVs.
This project will provide comprehensive driving data and analysis tools for the design and testing of an autonomous vehicles software stack.
Sydney University’s Institute of Transport and Logistics Studies is one of iMOVE’s key research partners. Find out more about its people and expertise.
Design of a blueprint for future MaaS initiatives in a rural/regional setting, drawing on an iMOVE trial, international evidence, and new data.
Jun Li’s PhD project with iMOVE is ‘Autonomous mobile lockers for city logistics’. Here is more information on that research, and of her academic journey.
iMOVE joined forces with partner Australian Centre for Field Robotics at the University of Sydney to showcase its R&D achievements at a Parliament House event.
This PhD project aims to help parcel delivery companies thrive in a competitive environment with a strategic approach to last mile network, & fleet composition.
This PhD project explores ways for airlines to engage with customers, industry and more to incorporate new insights into their sustainability strategies.
This PhD project will develop traffic management strategies and infrastructure allocation algorithms needed to improve emergency vehicle logistics.
In this PhD project multiple trucks, each of which is equipped with drones, will via simulation deliver grocery purchases in parallel to customers.
This PhD project will, at its conclusion, demonstrate how the roles and responsibilities of different stakeholders impact building a collaborative MaaS environment.
This PhD project explores cycle lane implementation from both a policymaker’s and user’s perspective, and flexible transport solutions for rural users.
This PhD project will analyse archived GTFS data to identify significant inefficient road designs and exemplary designs for optimising performance