|
2026 Journal Article An equity-aware, data-driven congestion pricing: Application of constrained deep reinforcement learningParishad, Nasser, Yildirimoglu, Mehmet and Hickman, Mark (2026). An equity-aware, data-driven congestion pricing: Application of constrained deep reinforcement learning. Transportation Research Part C: Emerging Technologies, 189 105713, 105713-189. doi: 10.1016/j.trc.2026.105713 |
|
2026 Journal Article Modeling car owners’ stated preferences for electric micro-mobility ownership: evidence from a mixed logit approachWu, Yikang, Yildirimoglu, Mehmet and Zheng, Zuduo (2026). Modeling car owners’ stated preferences for electric micro-mobility ownership: evidence from a mixed logit approach. Transport Policy, 181 104063, 104063. doi: 10.1016/j.tranpol.2026.104063 |
|
2026 Journal Article A physics-informed uncertainty quantification framework for deep learning-based real-time lane-change intention predictionCao, Zhuo, Zheng, Zuduo, Yildirimoglu, Mehmet and Haque, Shimul Md. Mazharul (2026). A physics-informed uncertainty quantification framework for deep learning-based real-time lane-change intention prediction. Transportation Research Part C-Emerging Technologies, 187 105637, 105637. doi: 10.1016/j.trc.2026.105637 |
|
2026 Journal Article A Physics-Informed Deep learning framework for traffic state estimation in signalized arterial roadsAbewickrema, Wanuji, Yildirimoglu, Mehmet and Kim, Jiwon (2026). A Physics-Informed Deep learning framework for traffic state estimation in signalized arterial roads. Transportation Research Part C: Emerging Technologies, 182 105420, 105420. doi: 10.1016/j.trc.2025.105420 |
|
2025 Conference Publication Reflective LLM Prompt Optimisation for Interpreting GNN Predictions in Traffic ForecastingZhang, Zetong, Kim, Jiwon, He, Dan and Yildirimoglu, Mehmet (2025). Reflective LLM Prompt Optimisation for Interpreting GNN Predictions in Traffic Forecasting. IEEE. doi: 10.1109/itsc60802.2025.11423238 |
|
2025 Conference Publication Distance-Based Pricing in Multi-Modal Urban Networks with Deep Reinforcement LearningParishad, Nasser, Yildirimoglu, Mehmet and Hickman, Mark (2025). Distance-Based Pricing in Multi-Modal Urban Networks with Deep Reinforcement Learning. IEEE. doi: 10.1109/itsc60802.2025.11423199 |
|
2025 Conference Publication Koopman-Driven Predictive Modeling of Vehicle-Driver InteractionSingh, Abhimanyu Pratap, Lim, Kai Li, Kanchwala, Husain and Yildirimoglu, Mehmet (2025). Koopman-Driven Predictive Modeling of Vehicle-Driver Interaction. IEEE. doi: 10.1109/itsc60802.2025.11423133 |
|
2025 Journal Article Bounded-METANET: A new discrete-time second-order macroscopic traffic flow model for bounded speedZhao, Weiming, Roncoli, Claudio and Yildirimoglu, Mehmet (2025). Bounded-METANET: A new discrete-time second-order macroscopic traffic flow model for bounded speed. Transportation Research Part C: Emerging Technologies, 180 105345, 1-23. doi: 10.1016/j.trc.2025.105345 |
|
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, 1-35. doi: 10.1016/j.trc.2025.105285 |
|
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 |
|
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, 1-18. doi: 10.1007/s42421-025-00129-1 |
|
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, 1-23. doi: 10.1016/j.trip.2025.101525 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
|
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 |
