九州影院

Here's a list of selected publications from the team:

• Johari, M., & Keyvan-Ekbatani, M. (2024). Macroscopic modeling of mixed bi-modal urban networks: A hybrid model of accumulation-and trip-based principles. Transportation Research Part B: Methodological, 182, 102921.

• Mousavizadeh, O., & Keyvan-Ekbatani, M. (2024). On the important features for a well-shaped reduced network MFD estimation during network loading and recovery. Transportation Research Part C: Emerging Technologies, 161, 104539.

• Jiang, S., Tran, C. Q., & Keyvan-Ekbatani, M. (2024). Regional route guidance with realistic compliance patterns: Application of deep reinforcement learning and MPC. Transportation Research Part C: Emerging Technologies, 158, 104440.

• Jiang, S., & Keyvan-Ekbatani, M. (2023). Hybrid perimeter control with real-time partitions in heterogeneous urban networks: An integration of deep learning and MPC. Transportation Research Part C: Emerging Technologies, 154, 104240.聽

• Tran, C. Q., Keyvan-Ekbatani, M., & Ngoduy, D. (2023). Towards clean transportation systems: Infrastructure planning for EVs charging while driving. Sustainable Cities and Society, 96, 104633.

• Guo, H., Xie, K., & Keyvan-Ekbatani, M. (2023). Modeling driver鈥檚 evasive behavior during safety鈥揷ritical lane changes: Two-dimensional time-to-collision and deep reinforcement learning. Accident Analysis & Prevention, 186, 107063.

• Jiang, S., Keyvan鈥怑kbatani, M., & Ngoduy, D. (2023). Partitioning of urban networks with polycentric congestion pattern for traffic management policies: Identifying protected networks. Computer鈥怉ided Civil and Infrastructure Engineering, 38(4), 508-527.

• Guo, H., Keyvan-Ekbatani, M., & Xie, K. (2022). Lane change detection and prediction using real-world connected vehicle data. Transportation research part C: emerging technologies, 142, 103785.聽

• Tran, C. Q., Keyvan-Ekbatani, M., Ngoduy, D., & Watling, D. (2022). Dynamic wireless charging lanes location model in urban networks considering route choices. Transportation Research Part C: Emerging Technologies, 139, 103652.

• Corman, F., Trivella, A. and Keyvan-Ekbatani, M., 2021. Stochastic process in railway traffic flow: Models, methods and implications. Transportation Research Part C: Emerging Technologies, 128, p.103167 (ISTTT24 podium)

• Mousavizadeh, O., Keyvan-Ekbatani, M., & Logan, T. M. (2021). Real-time turning rate estimation in urban networks using floating car data. Transportation research part C: emerging technologies, 133, 103457.

• Tran, C. Q., Keyvan-Ekbatani, M., Ngoduy, D., & Watling, D. (2021). Stochasticity and environmental cost inclusion for electric vehicles fast-charging facility deployment. Transportation Research Part E: Logistics and Transportation Review, 154, 102460.聽

• Johari, M., Keyvan-Ekbatani, M., Leclercq, L., Ngoduy, D., & Mahmassani, H. S. (2021). Macroscopic network-level traffic models: Bridging fifty years of development toward the next era. Transportation Research Part C: Emerging Technologies, 131, 103334.

• Weg, G.S.V.D., Keyvan-Ekbatani, M., Hegyi, A. and Hoogendoorn, S.P., 2020. Linear MPC-Based Urban Traffic Control Using the Link Transmission Model. IEEE Transactions on Intelligent Transportation Systems, 21(10)

• Keyvan-Ekbatani, M., Knoop, V. L., Daamen, W, , 2016. Categorization of the Lane-Change Decision Process on Freeways, Transportation Research Part C: Emerging Technologies 69, 515鈥�526.

• Keyvan-Ekbatani, M., Papageorgiou, M., Knoop, V., 2015. Controller Design for Gating Control in Presence of Time-Delay in Urban Road Networks, presented at ISTTT21 (podium), Transportation Research Part C: Emerging Technologies 59, 308-322.聽

• Keyvan-Ekbatani, M., Kouvelas, A, Papamichail, I., Papageorgiou, M., 2012. Exploiting the Fundamental Diagram of Urban Networks for Feedback-Based Gating. Transportation Research Part B 46 (10), 1393鈥�1403