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.
Ipswich Connected Vehicle Pilot: Final reports
Download the three final reports from iMOVE’s ‘Ipswich Connected Vehicle Pilot (ICVP) project.
Data and simulation: Improving Perth’s road network performance
Download the three final reports from iMOVE’s ‘Improved network performance prediction through data-driven analytics and simulation’ project.
Queue length estimation at signalised intersections
This PhD project proposes a methodology to estimate real-time queue lengths by using high-resolution detector data and signal timing data.
Will Working from Home continue? And how?
Our ‘Encouraging continuation of work from home post-pandemic’ project has been completed, and the final report is available here.
Optimising multimodal transport networks: Sharing road space
This research will focus on enhanced depiction of pedestrian and active mode interactions with vehicular traffic across a variety of road infrastructure scenarios.
Innovative road network pricing models
This PhD research aims to investigate new methods for managing urban congestion and reducing emissions through innovative transport pricing policies.
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.
Using a data-driven approach to improve intersection modelling
This PhD project investigates the use of big data and advanced mathematical techniques to better model the traffic flow at intersections.
FAST: A sustainable urban mobility plan for Liverpool
Assessment of emerging sustainable urban mobility opportunities for Liverpool NSW, underpinned by the opening of the new Nancy-Bird Walton Airport.
Real-time network prediction and response simulation
This project will see an Aimsun Live pilot system installed in Queensland, providing real-time simulation-based prediction, projecting 60 minutes ahead.
Modelling perimeter controls: Detailed simulation
This project will build on simulations of gating, and use MFDs to demonstrate its benefits in enabling better control of the Perth road network.
Working from home: Changes in transport demand in Perth
Project to build new knowledge and develop approaches to perpetuate and mainstream some of the more positive behaviours and outcomes of working from home.
Encouraging continuation of work from home post-pandemic
A project examining the benefits/drawbacks of working from home, and the impacts of different arrangements on productivity, transport, health, & wellbeing.
Real-time data for better informed transport and parking choices
This project will use the Chatswood CBD as a living laboratory using data to improve visitor experience, with an initial focus on parking.
A Smart Transport Technology Roadmap for Perth
Research project to develop empirical understanding of the skills gaps, shortages, and the necessary training needs in transport/mobility to inform policy.