Research Supervisor Connect - Future Students - University of Sydney, Australia

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Characterizing Transport Networks

In an increasingly urbanized world, people remain connected by a complex nexus of roads, rails, paths, and sidewalks that form urban transportation systems and shape travel demand. more...

Supervisor(s): Levinson, David (Professor)

Travel Behaviour Over Time

The Bureau of Transport Statistics of Transport for NSW has conducted an annual Household Travel Survey since 1997 and historically in 1991 and 1981 as a Home Interview Survey. This more...

Supervisor(s): Levinson, David (Professor)

Simulating Transport for Realistic Engineering Education and Training

Understanding and predicting travel demand and travel patterns is one of the most important but also most challenging tasks of transport engineers, planners, and geographers. Tr more...

Supervisor(s): Levinson, David (Professor), Ramezani Ghalenoei, Mohsen (Dr)

Network Econometrics and the Evolution of Transport Systems

Network Econometrics is a new set of methodologies to exploit network information when undertaking econometric analysis. It has uses in both short and long-term traffic prediction. more...

Supervisor(s): Levinson, David (Professor)

Behavioural Route Choice

Route Choice models have long been based on the assumption that travelers choose the shortest travel time path between their origin and destination, despite increasing evidence that more...

Supervisor(s): Levinson, David (Professor)

Technological Change and the Future of Cities

Many transport analysts envision a forward-looking, ambitious and disruptive cloud commuting-based transport system for future smart cities based on emerging connected, autonomous v more...

Supervisor(s): Levinson, David (Professor)

A Benefit/Cost Analysis of Benefit/Cost Analysis

Transportat projects of significant size and scope often must be subjected to fairly rigorous project evaluation processes. Benefit-cost analysis (BCA) is a project evaluation more...

Supervisor(s): Levinson, David (Professor)

Historical and Prospective Adoption Rates of Transport Technologies

Traditional transportation forecasts do not consider changes in technology. Yet we know technologies change, and those changes consequently affects underlying behaviours. Providing more...

Supervisor(s): Levinson, David (Professor)

Neuromorphic AI

This project involves complex systems modelling of neuromorphic atomic switch networks to emulate emergent brain-like features of adaptive, deep-learning for application to Artifici more...

Supervisor(s): Kuncic, Zdenka (Professor)