Excited to announce that TRAIN PhD student Jiaxi Zhao and Prof. Dick have recently published a new research paper in the IET Intelligent Transportation Systems academic journal! This paper investigates how classification yard simulation can supplement historical operating data in making improved predictions of delayed freight train departures. A unique aspect of this paper is that it was developed through our international collaboration with railway researchers at KTH Royal Institute of Technology in Sweden. We’ve enjoyed our long-term collaboration with Niloofar Minbashi and Markus Bohlin at KTH, including a trip to visit them in Stockholm in summer 2022!
The reference and DOI link for the paper is as follows:
Minbashi, N., J. Zhao, C.T. Dick and M. Bohlin. 2023. Enhancing freight train delay prediction with simulation-assisted machine learning. IET Intelligent Transport Systems. doi: 10.1049/itr2.12573.
