Dr Mehmet Yildirimoglu
Dr

Mehmet Yildirimoglu

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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

Search Professor Mehmet Yildirimoglu’s works on UQ eSpace

56 works between 2011 and 2025
All (56) Journal Article (32) Conference Publication (24)

1 - 20 of 56 works

2025

Journal Article

An integrated method based on wavelet modulus maxima and local Holder exponents for automatic phase detection and labelling of lane-changing execution

Cao, Zhuo, Zheng, Zuduo, Yildirimoglu, Mehmet and (Md. Mazharul) Haque, Shimul (2025). An integrated method based on wavelet modulus maxima and local Holder exponents for automatic phase detection and labelling of lane-changing execution. Transportation Research Part C: Emerging Technologies, 179 105285, 105285. doi: 10.1016/j.trc.2025.105285

An integrated method based on wavelet modulus maxima and local Holder exponents for automatic phase detection and labelling of lane-changing execution

2025

Journal Article

Congestion pricing in multi-modal networks: an application of deep reinforcement learning

Parishad, Nasser, Yildirimoglu, Mehmet and Hickman, Mark (2025). Congestion pricing in multi-modal networks: an application of deep reinforcement learning. Transportation Research Part C: Emerging Technologies, 177 105166, 105166. doi: 10.1016/j.trc.2025.105166

Congestion pricing in multi-modal networks: an application of deep reinforcement learning

2025

Journal Article

An Ensemble Deep Learning Framework for Real-Time Queue Length Estimation at Signalized Intersections

Abewickrema, Wanuji, Yildirimoglu, Mehmet and Kim, Jiwon (2025). An Ensemble Deep Learning Framework for Real-Time Queue Length Estimation at Signalized Intersections. Data Science for Transportation, 7 (2) 15. doi: 10.1007/s42421-025-00129-1

An Ensemble Deep Learning Framework for Real-Time Queue Length Estimation at Signalized Intersections

2025

Journal Article

Integrating road network operations planning into real-time traffic management: A conceptual framework

Keblawi, Mahmud, Maripini, Himabindu, Kim, Jiwon, Hickman, Mark, Zheng, Zuduo and Yildirimoglu, Mehmet (2025). Integrating road network operations planning into real-time traffic management: A conceptual framework. Transportation Research Interdisciplinary Perspectives, 32 101525, 101525. doi: 10.1016/j.trip.2025.101525

Integrating road network operations planning into real-time traffic management: A conceptual framework

2024

Journal Article

A scalable macro–micro approach for cooperative platoon merging in mixed traffic flows

Zhao, Weiming and Yildirimoglu, Mehmet (2024). A scalable macro–micro approach for cooperative platoon merging in mixed traffic flows. Transportation Research Part C: Emerging Technologies, 169 104859, 1-20. doi: 10.1016/j.trc.2024.104859

A scalable macro–micro approach for cooperative platoon merging in mixed traffic flows

2023

Journal Article

Nonlinear model predictive control of large-scale urban road networks via average speed control

Sirmatel, Isik Ilber and Yildirimoglu, Mehmet (2023). Nonlinear model predictive control of large-scale urban road networks via average speed control. Transportation Research Part C: Emerging Technologies, 156 104338, 1-15. doi: 10.1016/j.trc.2023.104338

Nonlinear model predictive control of large-scale urban road networks via average speed control

2023

Journal Article

A hybrid modelling framework for the estimation of dynamic origin–destination flows

Kumarage, Sakitha, Yildirimoglu, Mehmet and Zheng, Zuduo (2023). A hybrid modelling framework for the estimation of dynamic origin–destination flows. Transportation Research Part B: Methodological, 176 102804, 1-27. doi: 10.1016/j.trb.2023.102804

A hybrid modelling framework for the estimation of dynamic origin–destination flows

2023

Journal Article

Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation

Abewickrema, Wanuji, Yildirimoglu, Mehmet and Kim, Jiwon (2023). Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation. Transportation Research Part C: Emerging Technologies, 154 104238, 1-19. doi: 10.1016/j.trc.2023.104238

Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation

2023

Journal Article

Demand and state estimation for perimeter control in large-scale urban networks

Kumarage, Sakitha, Yildirimoglu, Mehmet and Zheng, Zuduo (2023). Demand and state estimation for perimeter control in large-scale urban networks. Transportation Research Part C: Emerging Technologies, 153 104184, 104184. doi: 10.1016/j.trc.2023.104184

Demand and state estimation for perimeter control in large-scale urban networks

2023

Journal Article

Estimation of macroscopic fundamental diagram solely from probe vehicle trajectories with an unknown penetration rate

Saffari, Elham, Yildirimoglu, Mehmet and Hickman, Mark (2023). Estimation of macroscopic fundamental diagram solely from probe vehicle trajectories with an unknown penetration rate. IEEE Transactions on Intelligent Transportation Systems, 24 (12), 14970-14981. doi: 10.1109/tits.2023.3303439

Estimation of macroscopic fundamental diagram solely from probe vehicle trajectories with an unknown penetration rate

2023

Conference Publication

A deep learning framework to generate synthetic mobility data

Arkangil, Eren, Yildirimoglu, Mehmet, Kim, Jiwon and Prato, Carlo (2023). A deep learning framework to generate synthetic mobility data. 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), Nice, France, 14-16 June 2023. Piscataway, NJ United States: Institute of Electrical and Electronics Engineers. doi: 10.1109/mt-its56129.2023.10241677

A deep learning framework to generate synthetic mobility data

2023

Conference Publication

Demand estimation for perimeter control in large-scale traffic networks

Kumarage, Sakitha, Yildirimoglu, Mehmet and Zheng, Zuduo (2023). Demand estimation for perimeter control in large-scale traffic networks. 8th International Conference on Models and Technologies for Intelligent Transportation Systems (MT-ITS), Nice, France, 14-16 June 2023. Piscataway, NJ, United States: IEEE. doi: 10.1109/mt-its56129.2023.10241660

Demand estimation for perimeter control in large-scale traffic networks

2023

Conference Publication

Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation

Abewickrema, Wanuji, Yildirimoglu, Mehmet and Kim, Jiwon (2023). Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation. Transportation Research Board Annual Meeting, Washington, DC United States, 8-12 January.

Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation

2022

Journal Article

Data fusion for estimating Macroscopic Fundamental Diagram in large-scale urban networks

Saffari, Elham, Yildirimoglu, Mehmet and Hickman, Mark (2022). Data fusion for estimating Macroscopic Fundamental Diagram in large-scale urban networks. Transportation Research Part C: Emerging Technologies, 137 103555, 103555. doi: 10.1016/j.trc.2022.103555

Data fusion for estimating Macroscopic Fundamental Diagram in large-scale urban networks

2022

Conference Publication

Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation

Abewickrema, Wanuji, Yildirimoglu, Mehmet and Kim, Jiwon (2022). Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation. Australasian Transport Research Forum, Adelaide, SA, Australia, 28-30 September 2022.

Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimation

2021

Journal Article

Staggered work schedules for congestion mitigation: a morning commute problem

Yildirimoglu, Mehmet, Ramezani, Mohsen and Amirgholy, Mahyar (2021). Staggered work schedules for congestion mitigation: a morning commute problem. Transportation Research Part C: Emerging Technologies, 132 103391, 103391. doi: 10.1016/j.trc.2021.103391

Staggered work schedules for congestion mitigation: a morning commute problem

2021

Journal Article

Dedicated bus lane network design under demand diversion and dynamic traffic congestion: An aggregated network and continuous approximation model approach

Petit, Antoine, Yildirimoglu, Mehmet, Geroliminis, Nikolas and Ouyang, Yanfeng (2021). Dedicated bus lane network design under demand diversion and dynamic traffic congestion: An aggregated network and continuous approximation model approach. Transportation Research. Part C: Emerging Technologies, 128 103187, 103187. doi: 10.1016/j.trc.2021.103187

Dedicated bus lane network design under demand diversion and dynamic traffic congestion: An aggregated network and continuous approximation model approach

2021

Journal Article

CLACD: A complete LAne-Changing decision modeling framework for the connected and traditional environments

Ali, Yasir, Zheng, Zuduo, Haque, Md. Mazharul, Yildirimoglu, Mehmet and Washington, Simon (2021). CLACD: A complete LAne-Changing decision modeling framework for the connected and traditional environments. Transportation Research. Part C: Emerging Technologies, 128 103162, 103162. doi: 10.1016/j.trc.2021.103162

CLACD: A complete LAne-Changing decision modeling framework for the connected and traditional environments

2021

Journal Article

Schedule-Constrained Demand Management in Two-Region Urban Networks

Kumarage, Sakitha, Yildirimoglu, Mehmet, Ramezani, Mohsen and Zheng, Zuduo (2021). Schedule-Constrained Demand Management in Two-Region Urban Networks. Transportation Science, 55 (4), 857-882. doi: 10.1287/trsc.2021.1052

Schedule-Constrained Demand Management in Two-Region Urban Networks

2021

Journal Article

Incorporating congestion patterns into spatio-temporal deep learning algorithms

Leiser, Neil and Yildirimoglu, Mehmet (2021). Incorporating congestion patterns into spatio-temporal deep learning algorithms. Transportmetrica B: Transport Dynamics, 9 (1), 622-640. doi: 10.1080/21680566.2021.1922320

Incorporating congestion patterns into spatio-temporal deep learning algorithms

Availability

Dr Mehmet Yildirimoglu is:
Available for supervision

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Supervision history

Current supervision

  • Doctor Philosophy

    Autonomous vehicle control strategies for driving safety

    Principal Advisor

    Other advisors: Dr Kai Li Lim

  • Doctor Philosophy

    Queue Length Estimation and Prediction at Isolated Signalized Intersections

    Principal Advisor

    Other advisors: Associate Professor Jiwon Kim

  • 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

    An efficient traffic modelling framework for large-scale networks

    Principal Advisor

    Other advisors: Professor Mark Hickman

  • Doctor Philosophy

    Traffic modelling and control in next-generation cities

    Principal 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

  • 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

Enquiries

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