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Unifying Traffic Modelling and Safety Management for Safer and Faster Roads (2021–2024)

Abstract:
This project aims to balance road safety and efficiency as conflicting goals of transport systems mixed with connected and automated vehicles (CAVs). This project is expected to generate fundamental knowledge on operational algorithms and analytics for CAVs and develop innovative tools for operating them. Expected outcomes include ground-breaking models capable of the co-estimation of efficiency and safety impacts of CAVs, and control strategies to safely and efficiently integrate CAVs into existing transport systems. This should provide significant safety and efficiency benefits that currently cost about 1160 lives and 1.25 billion hours of congestion per year, and make Australia better prepared for the connected and automated vehicle era.
Grant type:
ARC Discovery Projects
Researchers:

  • Professor Zuduo Zheng

    Professor
    School of Civil Engineering
    Faculty of Engineering, Architecture and Information Technology

  • Dr Mehmet Yildirimoglu

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