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Dr Mehmet Yildirimoglu
Dr

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

Dr 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

52 works between 2011 and 2024

41 - 52 of 52 works

2014

Journal Article

Approximating dynamic equilibrium conditions with macroscopic fundamental diagrams

Yildirimoglu, Mehmet and Geroliminis, Nikolas (2014). Approximating dynamic equilibrium conditions with macroscopic fundamental diagrams. Transportation Research Part B: Methodological, 70, 186-200. doi: 10.1016/j.trb.2014.09.002

Approximating dynamic equilibrium conditions with macroscopic fundamental diagrams

2014

Conference Publication

Approximating dynamic equilibrium conditions with macroscopic fundamental diagrams

Yildirimoglu, Mehmet and Geroliminis, Nikolas (2014). Approximating dynamic equilibrium conditions with macroscopic fundamental diagrams. 93rd Annual Meeting of the Transportation Research Board, Washington, DC, United States, January 12-16, 2014.

Approximating dynamic equilibrium conditions with macroscopic fundamental diagrams

2014

Conference Publication

Linking the properties of mean-variance relations in travel times with the hysteresis in macroscopic fundamental diagram

Yildirimoglu, Mehmet, Limniati, Ypatia-Stefania and Geroliminis, Nikolas (2014). Linking the properties of mean-variance relations in travel times with the hysteresis in macroscopic fundamental diagram. 3rd Symposium of the European Association for Research in Transportation, Leeds, United Kingdom, 10 - 12 September, 2014. hEART European Association for Research in Transportation.

Linking the properties of mean-variance relations in travel times with the hysteresis in macroscopic fundamental diagram

2013

Journal Article

Experienced travel time prediction for congested freeways

Yildirimoglu, Mehmet and Geroliminis, Nikolas (2013). Experienced travel time prediction for congested freeways. Transportation Research Part B: Methodological, 53, 45-63. doi: 10.1016/j.trb.2013.03.006

Experienced travel time prediction for congested freeways

2013

Journal Article

Modeling work zone crash frequency by quantifying measurement errors in work zone length

Yang, Hong, Ozbaya, Kaan, Ozturk, Ozgur and Yildirimoglu, Mehmet (2013). Modeling work zone crash frequency by quantifying measurement errors in work zone length. Accident Analysis and Prevention, 55, 192-201. doi: 10.1016/j.aap.2013.02.031

Modeling work zone crash frequency by quantifying measurement errors in work zone length

2013

Conference Publication

Experienced travel time prediction in congested freeway routes

Yildirimoglu, Mehmet and Geroliminis, Nikolas (2013). Experienced travel time prediction in congested freeway routes. 92nd Annual Meeting of the Transportation Research Board, Washington, DC, United States, 13 - 17 January, 2013. Washington, DC, United States: Transportation Research Board of the National Academics.

Experienced travel time prediction in congested freeway routes

2013

Conference Publication

Traffic signal perimeter control with multiple boundaries for large urban networks

Keyvan-Ekbatani, Mehdi, Yildirimoglu, Mehmet, Geroliminis, Nikolas and Papageorgiou, Markos (2013). Traffic signal perimeter control with multiple boundaries for large urban networks. 16th International IEEE Annual Conference on Intelligent Transportation Systems (ITSC), The Hague, Netherlands, 6 - 9 October, 2013. Piscataway, United States: IEEE. doi: 10.1109/ITSC.2013.6728363

Traffic signal perimeter control with multiple boundaries for large urban networks

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

2013

Conference Publication

Exploring the properties of mean variance relations in freeway travel times

Yildirimoglu, Mehmet, Koymans, Anne and Geroliminis, Nikolas (2013). Exploring the properties of mean variance relations in freeway travel times. 92nd Annual Meeting of the Transportation Research Board, Washington DC, United States, January 13-17, 2013.

Exploring the properties of mean variance relations in freeway travel times

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

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

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

  • 2024 - 2025
    AI Solutions for Enhancing SIDRA Network Model for Road Traffic Congestion Analysis
    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

Past funding

  • 2022 - 2024
    Framework and Conceptual Solution for Integrating Road Network Operations Planning into Real-time Traffic Management
    iMove Cooperative Research Centre
    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

Dr Mehmet Yildirimoglu is:
Available for supervision

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Supervision history

Current supervision

  • Doctor Philosophy

    An efficient traffic modelling framework for large-scale networks

    Principal Advisor

    Other advisors: Professor Mark Hickman

  • Doctor Philosophy

    Autonomous vehicle control strategies for driving safety

    Principal Advisor

    Other advisors: Dr Kai Li Lim

  • Doctor Philosophy

    Real-time Analytics on Urban Trajectory Data for Road Traffic Management

    Principal Advisor

    Other advisors: Associate Professor Jiwon Kim

  • Doctor Philosophy

    Queue Length Estimation and Prediction at Isolated Signalized Intersections

    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

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

    Principal Advisor

    Other advisors: Associate Professor Jiwon Kim

  • Doctor Philosophy

    Traffic modelling and control in next-generation cities

    Principal Advisor

    Other advisors: Professor Zuduo Zheng

  • Doctor Philosophy

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

    Associate Advisor

    Other advisors: Dr SangHyung Ahn, Associate Professor Jiwon Kim

  • 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

    Dynamic lane-changing behavior modeling framework on urban arterials using deep reinforcement learning

    Associate Advisor

    Other advisors: Professor Zuduo Zheng

Completed supervision

Media

Enquiries

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