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Associate Professor Mehmet Yildirimoglu
Associate Professor

Mehmet Yildirimoglu

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Overview

Background

Mehmet Yildirimoglu is a Senior Lecturer of Transport Engineering at the School of Civil Engineering. Mehmet received his B.Sc. degree in civil engineering from the Middle East Technical University (METU) in 2009, M.Sc. degree in civil engineering from the Rutgers University in 2011 and Ph.D. degree in civil engineering from École Polytechnique Fédérale de Lausanne (EPFL) in 2015. Prior to joining the School of Civil Engineering at the University of Queensland in 2016, he was a Postdoctoral researcher at EPFL, Switzerland. His research revolves around large-scale traffic modeling, dynamic traffic assignment, data mining techniques and real-time traffic management.

Availability

Associate Professor Mehmet Yildirimoglu is:
Available for supervision

Qualifications

  • Doctor of Philosophy, Institution to be confirmed

Research interests

  • Traffic flow theory

  • Dynamic traffic assignment

  • Travel time estimation

  • Urban transportation systems

  • Data mining

  • Real-time traffic management

Works

Search Professor Mehmet Yildirimoglu’s works on UQ eSpace

64 works between 2011 and 2026

61 - 64 of 64 works

2013

Conference Publication

Dynamic route choice modeling with macroscopic fundamental diagrams

Yildirimoglu, Mehmet and Geroliminis, Nikolas (2013). Dynamic route choice modeling with macroscopic fundamental diagrams. 2nd Symposium of the European Association for Research in Transportation, Stockholm, Sweden, September 4-6, 2013.

Dynamic route choice modeling with macroscopic fundamental diagrams

2012

Conference Publication

Comparison of two novel travel time estimation techniques based on probe vehicle data: Kriging versus non-linear programming based approaches

Yildirimoglu, Mehmet and Ozbay, Kaan (2012). Comparison of two novel travel time estimation techniques based on probe vehicle data: Kriging versus non-linear programming based approaches. Transportation Research Board (TRB) 91st Annual Meeting, Washington, D.C, United States, January 22-26, 2012.

Comparison of two novel travel time estimation techniques based on probe vehicle data: Kriging versus non-linear programming based approaches

2012

Conference Publication

Experienced travel time prediction for freeway systems

Yildirimoglu, Mehmet and Geroliminis, Nikolas (2012). Experienced travel time prediction for freeway systems. 15th International IEEE Conference on Intelligent Transportation Systems, Anchorage, AK, United States, 16-19 September 2012. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ITSC.2012.6338792

Experienced travel time prediction for freeway systems

2011

Conference Publication

Comparison of real-time travel time estimation using two distinct approaches: universal kriging and mathematical programming

Ozbay, Kaan and Yildirimoglu, Mehmet (2011). Comparison of real-time travel time estimation using two distinct approaches: universal kriging and mathematical programming. 14th International IEEE Conference on Intelligent Transportation Systems, Washington, DC, United States, 5-7 October 2011. Piscataway, NJ, United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/ITSC.2011.6083117

Comparison of real-time travel time estimation using two distinct approaches: universal kriging and mathematical programming

Funding

Current funding

  • 2026 - 2029
    Shaping net-zero cities with safe and efficient micromobility solutions
    ARC Discovery Projects
    Open grant

Past funding

  • 2024 - 2025
    AI Solutions for Enhancing SIDRA Network Model for Road Traffic Congestion Analysis
    iMove Cooperative Research Centre
    Open grant
  • 2022 - 2024
    Framework and Conceptual Solution for Integrating Road Network Operations Planning into Real-time Traffic Management
    iMove Cooperative Research Centre
    Open grant
  • 2022 - 2025
    Rethinking traffic modelling for next generation city-scale networks
    ARC Discovery Early Career Researcher Award
    Open grant
  • 2021 - 2024
    Unifying Traffic Modelling and Safety Management for Safer and Faster Roads
    ARC Discovery Projects
    Open grant
  • 2019 - 2024
    Real-time Analytics on Urban Trajectory Data for Road Traffic Management
    ARC Linkage Projects
    Open grant

Supervision

Availability

Associate Professor Mehmet Yildirimoglu is:
Available for supervision

Looking for a supervisor? Read our advice on how to choose a supervisor.

Available projects

Supervision history

Current supervision

  • Doctor Philosophy

    An efficient traffic modelling framework for large-scale networks

    Principal Advisor

    Other advisors: Professor Mark Hickman

  • Doctor Philosophy

    An investigation on the allocation of fast-charging stations considering renewable energy sources

    Principal Advisor

    Other advisors: Associate Professor Jiwon Kim

  • Doctor Philosophy

    Autonomous vehicle control strategies for driving safety

    Principal Advisor

    Other advisors: Dr Kai Li Lim

  • Doctor Philosophy

    Traffic modelling and control in next-generation cities

    Principal Advisor

    Other advisors: Professor Zuduo Zheng

  • Doctor Philosophy

    Lane Change Modelling for Mixed Traffic: Phase Detection, Perception, Prediction, and Social Interactions

    Associate Advisor

    Other advisors: Professor Zuduo Zheng

  • Doctor Philosophy

    Fundamental Issues in Calibrating and Validating Microscopic Traffic Dynamics of Automated and Human-driven Vehicles

    Associate Advisor

    Other advisors: Professor Zuduo Zheng

  • Doctor Philosophy

    Model interpretation and data-centric modeling for advanced traffic prediction (MINDMAP)

    Associate Advisor

    Other advisors: Associate Professor Jiwon Kim

Completed supervision

Media

Enquiries

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