MEHDI KEYVAN-EKBATANI

Associate Professor

University of Canterbury

New Zealand

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About

Dr. Mehdi Keyvan-Ekbatan is an Associate Professor at the University of Canterbury, New Zealand. His research focuses on energy demand forecasting in transport, network clustering methods, traffic efficiency, and the application of reinforcement learning in urban traffic management. He has contributed to various advancements in modeling coupled driving behavior and developing traffic control policies.

Articles (10)

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2025

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2025

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2025

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2024

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2024

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2024

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2024

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2024

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2024

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2023

Collaborators (2)

DONG NGODUY

Associate Professor

MONASH UNIVERSITY

AUSTRALIA

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Florian Dandl

Technical University of Munich

GERMANY

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MEHDI KEYVAN-EKBATANI

Research Interests

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Contact this professor

About

Articles (10)

A diffusion-model-based approach for forecasting energy demand in New Zealand’s transport sector

Cross-comparison of Network Clustering Methods: Potential Macroscopic Fundamental Diagram (MFD)-based Applications

Dynamic Lane Configuration for Improved Traffic Efficiency on Motorways

Stochastic Switching Mode Model based Filters for urban arterial traffic estimation from multi-source data

Modeling coupled driving behavior during lane change: A multi-agent Transformer reinforcement learning approach

On the evaluation and selection of network-level traffic control policies: Perimeter control, TUC, and their combination

Macroscopic modeling of mixed bi-modal urban networks: A hybrid model of accumulation- and trip-based principles

On the important features for a well-shaped reduced network MFD estimation during network loading and recovery

Regional route guidance with realistic compliance patterns: Application of deep reinforcement learning and MPC

Mode differentiation in partitioning of mixed bi-modal urban networks

Collaborators (2)

DONG NGODUY

Florian Dandl

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