Energy informatics for behavioral change. - Felix Lossin; Allister Loder; Thorsten Staake (Comput. Sci. Res. Dev., 2016)

Estimating motorway traffic states with data fusion and physics-informed deep learning. - Felix Rempe; Allister Loder; Klaus Bogenberger (ITSC, 2021)

An innovative approach to connect parcel delivery operations with urban congestion. - Allister Loder; Thomas Otte (MT-ITS, 2021)

Traffic State Estimation with Loss Constraint. - Victoria Dahmen; Allister Loder; Gabriel Tilg; Alexander Kutsch; Klaus Bogenberger (ITSC, 2022)

Predicting Parking Occupancy with Deep Learning on Noisy Empirical Data. - Daria Matiunina; Natalie Sautter; Allister Loder; Klaus Bogenberger (MT-ITS, 2023)

Effects of the Plan Vélo I and II on vehicular flow in Paris - An Empirical Analysis. - Elena Natterer; Allister Loder; Klaus Bogenberger (CoRR, 2024)

Spatio-temporal prediction of freeway congestion patterns using discrete choice methods. - Barbara Metzger; Allister Loder; Lisa Kessler; Klaus Bogenberger (EURO J. Transp. Logist., 2024)