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2025 Journal Article An integrated method based on wavelet modulus maxima and local Holder exponents for automatic phase detection and labelling of lane-changing executionCao, 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, 105285-179. doi: 10.1016/j.trc.2025.105285 |
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2025 Journal Article Congestion pricing in multi-modal networks: an application of deep reinforcement learningParishad, 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 |
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2025 Journal Article An Ensemble Deep Learning Framework for Real-Time Queue Length Estimation at Signalized IntersectionsAbewickrema, 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 |
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2025 Journal Article Integrating road network operations planning into real-time traffic management: A conceptual frameworkKeblawi, 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 |
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2024 Journal Article A scalable macro–micro approach for cooperative platoon merging in mixed traffic flowsZhao, 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 |
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2023 Journal Article Nonlinear model predictive control of large-scale urban road networks via average speed controlSirmatel, 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 |
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2023 Journal Article A hybrid modelling framework for the estimation of dynamic origin–destination flowsKumarage, 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 |
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2023 Journal Article Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimationAbewickrema, 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 |
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2023 Journal Article Demand and state estimation for perimeter control in large-scale urban networksKumarage, 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 |
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2023 Journal Article Estimation of macroscopic fundamental diagram solely from probe vehicle trajectories with an unknown penetration rateSaffari, 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 |
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2023 Conference Publication A deep learning framework to generate synthetic mobility dataArkangil, 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 |
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2023 Conference Publication Demand estimation for perimeter control in large-scale traffic networksKumarage, 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 |
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2023 Conference Publication Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimationAbewickrema, 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. |
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2022 Journal Article Data fusion for estimating Macroscopic Fundamental Diagram in large-scale urban networksSaffari, 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 |
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2022 Conference Publication Multivariate time-varying Kalman filter approach for cycle-based maximum queue length estimationAbewickrema, 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. |
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2021 Journal Article Staggered work schedules for congestion mitigation: a morning commute problemYildirimoglu, 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 |
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2021 Journal Article Dedicated bus lane network design under demand diversion and dynamic traffic congestion: An aggregated network and continuous approximation model approachPetit, 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 |
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2021 Journal Article CLACD: A complete LAne-Changing decision modeling framework for the connected and traditional environmentsAli, 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 |
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2021 Journal Article Schedule-Constrained Demand Management in Two-Region Urban NetworksKumarage, 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 |
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2021 Journal Article Incorporating congestion patterns into spatio-temporal deep learning algorithmsLeiser, 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 |
