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Rethinking traffic modelling for next generation city-scale networks (2022–2025)

Abstract:
This project aims to develop an efficient traffic simulation model that enables data-informed traffic monitoring and automated model development, streamlining the fundamental transformation that next-generation cities will undergo in the coming decades. The project expects to generate new knowledge in traffic modelling by developing an innovative approach to inferring traffic conditions and traveller behaviour from diverse data feeds, and automating model calibration through an optimisation formulation. Expected outcomes address the eventual transition to smart cities and connected and autonomous vehicle technologies, providing significant social, economic and environmental benefits through optimal planning and effective operation schemes.
Grant type:
ARC Discovery Early Career Researcher Award
Researchers:

  • Dr Mehmet Yildirimoglu

    ARC DECRA
    School of Civil Engineering
    Faculty of Engineering, Architecture and Information Technology
Funded by:
Australian Research Council