A bi-level model to optimize road networks for a mixture of manual and automated driving: An evolutionary local search algorithm. - Bahman Madadi; Rob van Nes; Maaike Snelder; Bart van Arem (Comput. Aided Civ. Infrastructure Eng., 2020)

A stochastic approximation approach to spatio-temporal anchorage planning with multiple objectives. - Bahman Madadi; Vural Aksakalli (Expert Syst. Appl., 2020)

Multi-stage optimal design of road networks for automated vehicles with elastic multi-class demand. - Bahman Madadi; Rob van Nes; Maaike Snelder; Bart van Arem (Comput. Oper. Res., 2021)

A hybrid deep-learning-metaheuristic framework to approximate discrete road network design problems. - Bahman Madadi; Gonçalo Homem de Almeida Correia (CoRR, 2023)

An Agent-Based Discrete Event Simulation of Teleoperated Driving in Freight Transport Operations: The Fleet Sizing Problem. - Bahman Madadi; Ali Nadi; Gonçalo Homem de Almeida Correia; Thierry Verduijn; Lóránt Antal Tavasszy (CoRR, 2023)

A hybrid deep-learning-metaheuristic framework for bi-level network design problems. - Bahman Madadi; Gonçalo Homem de Almeida Rodriguez Correia (Expert Syst. Appl., 2024)