Research excellence
The Research Centre for Integrated Transport Innovation (rCITI) has continued to expand and strengthen its network across campus and with relevant government and industry.
Research Highlights
Established from our ARC Linkage Infrastructure Equipment and Facility (LIEF) 2013 grant, the TRAvel Choice Simulation LABoratory, or TRACSLab, is a world-first in transportation visualisation.. Find out more
Traffic incidents such as crashes, vehicle breakdowns, and hazards impact traffic speeds and induce congestion... Find out more
Technological developments in the transport sector have made significant advancements in the field of vehicle automation. .. Find out more
Interactively visualising street design scenarios for communicating bike infrastructure options to communities and policy-makers .. Find out more
We quantify and assess the effect of cruising-for-parking by developing a neighbourhood-scale macroscopic parking dynamics model. .. Find out more
Assessment of Bluetooth and Wi-Fi data for transport operations and planning purposes, as part of the Network Performance and Anomaly Detection Project.. Find out more
The UNSW School of Civil and Environmental Engineering has partnered with Cardno to deliver a game changer project for Transport for NSW .. Find out more
This project is at the forefront of using technology to influence human behaviour and promote safer and more fuel efficient behaviour through incentive mechanisms, and is expected to influence transportation and insurance policies. Most importantly, this project will contribute towards a broader framework for Intelligent Transport Systems... Find out more
As part of the analysis, rCITI are categorising the Ramp Metering methods of control and algorithms, and reporting the highlights and functional descriptions of each algorithm... Find out more
rCITI researchers have collaborated with Foodbank and OzHarvest to enhance the planning and management system by developing a decision support system for the real time recovery and distribution of surplus food – taking into consideration the uncertainties in recovery and fairness in distribution... Find out more
The core research conducted in the domains of demand modelling, clustering and dynamic vehicle routing algorithm development, simulation and optimisation... Find out more
Through the partnership, rCITI will develop and incorporate world-leading methodologies on intermodal regional dynamic network analysis, closely interact with and train agency staff, employ university students in hands-on project activities, and create the next generation of analysis techniques to benefit the NSW's transport system and subsequently all of the travelling public... Find out more
This research at rCITI explores several less computationally intensive methods that better reflect the behaviour of decision makers and can take into account the complexities resulted by interactions between agents. Basic concepts of learning-based methods and random graph models have only been employed in activity-based models in a limited manner while their usefulness has not been sufficiently examined. .. Find out more
