Future,

AND INTELLIGENT TRANSPORT SYSTEMS

This theme utilizes advanced data analytics and computer simulations to create innovative transport modelling solutions. We aim to understand travel behavior and patterns better to inform the planning of future intelligent transport networks. By leveraging big data and machine learning, we explore ways to predict demand, simulate passenger flows, and optimize system operations across transport modes. Our focus areas include connected and automated vehicles, mobility-as-a-service, smart infrastructure, and technologies for seamless multimodal travel.

In particular, we focus on:

  • Intelligent Transport Systems (ITS) 
  • Artificial Intelligence 
  • Big Data Analytics
  • Electric vehicles 
  • Autonomous vehicles 
  • Connected vehicles  (V2V, V2I, V2X)  
  • Traffic operations and optimisation  
  • Transport planning and modelling  
  • Future Transport Funding  
  • Travel Demand Management  
  • Congestion, time and location use charging  
David Noone

MINH KIEU

Theme Leader

Senior Lecturer Civil and Environmental Engineering

TRANSPORTATION RESEARCH CENTRE

trc@auckland.ac.nz

Waipapa Taumata Rau | University of Auckland

New Market Campus

314 Khyber Pass Road, Building 903, Level 2

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