Chief Investigator, Partners: Monash
Acquired $440,000 ($75,000 for Swinburne) from the Australian Research Council to explore routing and mode choice for personal transportation. 22.4% of proposals were successful in 2019, demonstrating the competitive nature of this scheme. While I contributed ideas and models for multi-modal transport schemes and routing, the impact of higher teaching loads and needing to supervise young children during COVID-19 school/childcare closures restricted my involvement.
External partner investigator, Partners: RMIT
Co-organised a workshop to explore approaches to modelling cycling behaviour using agent-based modelling. The workshop was attended by 37 stakeholders from councils, government, community organisations and universities. As part of the workshop I demonstrated the modelling capacity for cycling in MATSim and facilitated group discussions.
Chief investigator, Partners: IBM Research, SMART (Singapore) and DEDJTR Victoria
Instrumental in securing $140,000 of external funding from IBM Research and DoT (later DEDJTR) Victoria, which Carlton Connect matched. I used MATSim, an open-source agent-based transportation modelling tool, to develop a prototype model of Greater Melbourne to explore the effects of microcar takeup.
I also contributed to a study using mobile phones to collect personal travel data.
Research fellow, Partners: PTV, RACV, VicRoads, Yarra Trams
I developed simulations of demand-responsive transportation schemes using MATSim, later used by PhD candidates. I released open-source code for simulating real-time demand-responsive transportation services as part of a traffic microsimulation (SUMO).
I supervised several PhD candidates and final-year project students in the areas of transport modelling, computational transportation science, and demand-responsive transport; a poster by our group won best poster at Disrupting Mobility 2015.
I published a number of journal and conference papers, as well as an article in the Conversation and an interview with Transport Technology International..
For ISD (2012-2013), I developed travel behaviour modules and analysed household activity datasets for agent-based consumer behaviour models for government and industry clients.
At SKM (2002-2003), I set up, ran and analysed models using software packages and spreadsheets/databases, liaised with clients (e.g., Department of Infrastructure) and managed small projects to completion (for, e.g., VicRoads). Some of the projects I played a key role on were modelling pedestrian behaviour in Melbourne's Sports and Entertainment Precinct for the 2006 Commonwealth Games and investigating the effects of bicycle lanes for VicRoads.
My PhD research (2007-2011) involved developing an agent-based activity-based model incorporating social networks, which was validated with data collected in Eindhoven in light of current practice for both transport and agent-based models. This thesis contributed to the emerging research area of social networks and travel, in particular how these systems can be modelled for use by engineers and policy makers.
My masters thesis (2003-2006) compared two approaches to modelling pedestrian behaviour: cellular automata and BDI agents travelling on a network. Combined with a thorough categorisation of pedestrian behaviours and environments, the thesis recommended which approach to use for a particular scenario.