The University of Queensland

Data-driven Simulation of Large Traffic Networks using Trajectory Data (2019–2023)

Abstract:

This Project aims to develop a low-cost, data-driven traffic simulation framework that builds a traffic simulation model automatically and directly from vehicle trajectory data to enable rapid and reliable analysis of large-scale traffic networks. The Project expects to generate new knowledge in the area of transport engineering using an innovative approach to inferring travel behaviours, movement patterns and traffic dynamics from increasingly available urban trajectory data. Expected outcomes include improved decision support for urban planners and traffic operators and enhanced traffic management and incident response capabilities, providing significant social, economic and environment benefits through optimized road use and urban flow.

Grant type:

ARC Discovery Early Career Researcher Award

Researchers:

• 

  Associate Professor Jiwon Kim

  Associate Professor
  

  School of Civil Engineering

  Faculty of Engineering, Architecture and Information Technology

Funded by:

Australian Research Council