Mehmet Yildirimoglu

13 papers Journal 4Unranked 9
YearRankTypeTitle / Venue / Authors
2025 — conf
Distance-Based Pricing in Multi-Modal Urban Networks with Deep Reinforcement Learning.
ITSC
Nasser Parishad, Mehmet Yildirimoglu, Mark D. Hickman
2025 — conf
Koopman-Driven Predictive Modeling of Vehicle-Driver Interaction.
ITSC
Abhimanyu Pratap Singh, Kai Li Lim, Husain Kanchwala, Mehmet Yildirimoglu
2025 — conf
Reflective LLM Prompt Optimisation for Interpreting GNN Predictions in Traffic Forecasting.
ITSC
Zetong Zhang, Jiwon Kim, Dan He, Mehmet Yildirimoglu
2023 — conf
A deep learning framework to generate synthetic mobility data.
MT-ITS
Eren Arkangil, Mehmet Yildirimoglu, Jiwon Kim, Carlo Prato
2023 — conf
Demand estimation for perimeter control in large-scale traffic networks.
MT-ITS
Sakitha Kumarage, Mehmet Yildirimoglu, Zuduo Zheng
2023 J jnl
Estimation of Macroscopic Fundamental Diagram Solely From Probe Vehicle Trajectories With an Unknown Penetration Rate.
IEEE Trans. Intell. Transp. Syst.
Elham Saffari, Mehmet Yildirimoglu, Mark D. Hickman
2022 J jnl
A deep learning framework to generate realistic population and mobility data.
CoRR
Eren Arkangil, Mehmet Yildirimoglu, Jiwon Kim, Carlo Prato
2021 J jnl
Schedule-Constrained Demand Management in Two-Region Urban Networks.
Transp. Sci.
Sakitha Kumarage, Mehmet Yildirimoglu, Mohsen Ramezani Ghalenoei, Zuduo Zheng
2017 — conf
How far is traffic from user equilibrium?
ITSC
Mehmet Yildirimoglu, Osman Kahraman
2015 J jnl
Multiple Concentric Gating Traffic Control in Large-Scale Urban Networks.
IEEE Trans. Intell. Transp. Syst.
Mehdi Keyvan-Ekbatani, Mehmet Yildirimoglu, Nikolas Geroliminis, Markos Papageorgiou
2013 — conf
Traffic signal perimeter control with multiple boundaries for large urban networks.
ITSC
Mehdi Keyvan-Ekbatani, Mehmet Yildirimoglu, Nikolas Geroliminis, Markos Papageorgiou
2012 — conf
Experienced travel time prediction for freeway systems.
ITSC
Mehmet Yildirimoglu, Nikolas Geroliminis
2011 — conf
Comparison of real-time travel time estimation using two distinct approaches: Universal kriging and mathematical programming.
ITSC
Kaan Ozbay, Mehmet Yildirimoglu