Teleoperated driving (TOD) enables humans to operate vehicles remotely during challenging scenarios, offering a promising transition path toward full automation in freight …
This paper presents a novel hybrid framework combining deep learning with metaheuristic optimization to solve bi-level network design problems. Traditional optimization approaches …
This research explores different infrastructure strategies for integrating automated vehicles into existing road networks, comparing three approaches: dedicated links (entire roads …
This paper develops a multi-stage optimization framework for designing road networks that accommodate automated vehicles while considering elastic multi-class demand. Unlike …
This paper presents a bi-level optimization model and evolutionary local search algorithm for optimizing road networks during the transition period when both manual and automated …
This exploratory study investigates the concept of subnetworks for automated driving - designated areas within urban road networks where automated vehicles can operate. Using a …