Chintan Advani – iMOVE PhD student
Chintan Advani’s PhD topic is ‘Empirical modelling of traffic states and route choice behaviour’. This profile outlines his work, lessons learnt, and more.
Older drivers: Advanced driving assistance technologies and AVs
This research will address key issues regarding perceptions of ADAS and AVs in older adults, the extent to which this tech can improve their safety and mobility.
Ipswich Connected Vehicle Pilot: Final reports
Download the three final reports from iMOVE’s ‘Ipswich Connected Vehicle Pilot (ICVP) project.
2022 National Forum on Urban Freight Logistics Education
The National Forum on Urban Freight Logistics Education will take place on 17 June, 2022, at QUT and online.
Centre for Accident Research & Road Safety (CARRS-Q)
An overview of the research capability, staff, and iMOVE projects involving Queensland University of Technology’s CARRS-Q.
Traffic lights: Collision avoidance strategies/damage mitigation
This project will investigate likely contributing factors for traffic crashes involving traffic signal posts in Queensland, and strategies to mitigate these collisions.
Developing an urban freight planning course: A scoping study
A scoping study to identify opportunities to improve urban freight planning tertiary education in Australia, improving education outcomes for freight logistics.
Brisbane parking management: An integrated, strategic approach
This research will extend over a three-year period and develop a strategic digital plan to improve the parking experience in Brisbane.
Real-time crash risk estimation using machine learning
Using state-of-the-art machine learning algorithms, this study will use a novel modelling approach to accurately predict traffic crashes in real-time.
Scenario developments for forecasting urban freight shifts
This project will develop a framework/tool for forecasting future scenarios of urban freight in informing planning and regulation (transport and land use).
Advanced data analytics: Real-time demand calibration/prediction
This project aims to improve travel demand calibration and accuracy of 24 hour/ 7 days network simulation models for any hour of any day.
Role of heterogeneity in active travellers’ injury severity analysis
This PhD research will develop and apply advanced econometric models in estimating injury severity models for active travellers.
Empirical modelling of traffic states and route choice behaviour
In this PhD project data analytics on Bluetooth trajectories and traffic states will be applied to empirically estimate the assignment matrix for the network.
VIDEO: C-ITS projects leading the way in Australia
Hear about the exciting ITS work that has taken place in Australia over the past year, in our C-ITS projects leading the way in Australia webinar.
WEBINAR: Australian C-ITS projects and outcomes
Find out about outcomes from Australian C-ITS projects run through iMOVE, presented by leaders and researchers on the projects.
Incident response vehicles and truck-mounted attenuators
This project will provide guidance on best practice for the procurement and safe use of incident response vehicles and truck-mounted attenuators.