Re-aggregation Approach to Large Location Problems. - Matej Cebecauer; Lubos Buzna (ICORES, 2015)

Re-aggregation Heuristic for Large P-median Problems. - Matej Cebecauer; Lubos Buzna (ICORES (Selected Papers), 2015)

Effects of demand estimates on the evaluation and optimality of service centre locations. - Matej Cebecauer; Konstantín Rosina; Lubos Buzna (Int. J. Geogr. Inf. Sci., 2016)

Designing Charging Infrastructure for a Fleet of Electric Vehicles Operating in Large Urban Areas. - Michal Koháni; Peter Czimmermann; Michal Vána; Matej Cebecauer; LuboasBuzna (ICORES, 2017)

A versatile adaptive aggregation framework for spatially large discrete location-allocation problems. - Matej Cebecauer; Lubos Buzna (Comput. Ind. Eng., 2017)

Spatio-Temporal Partitioning of Large Urban Networks for Travel Time Prediction. - Matej Cebecauer; Erik Jenelius; Wilco Burghout (ITSC, 2018)

Empty Vehicle Redistribution with Time Windows in Autonomous Taxi Systems. - Tatiana Babicheva; Matej Cebecauer; Dominique Barth; Wilco Burghout; Leïla Kloul (Trans. Data Sci., 2021)

Enhancing Short-Term Traffic Prediction for Large-Scale Transport Networks by Spatio-Temporal Clustering. - Matej Cebecauer (2021)

Spatio-Temporal Public Transport Mode Share Estimation and Analysis Using Mobile Network and Smart Card Data. - Matej Cebecauer; David Gundlegård; Erik Jenelius; Wilco Burghout (ITSC, 2023)

Considering Multi-Scale Data for Continuous Traffic Prediction Using Adaptive Multi-Agent System. - Ha-Nhi Ngo; Elsy Kaddoum; Matej Cebecauer; Erik Jenelius; Anaïs Goursolle (ITSC, 2023)

Generating and Evaluating Route Choice Sets for Large Multimodal Public Transport Networks: A Case Study for Stockholm Region. - Anastasios Skoufas; Matej Cebecauer; Wilco Burghout; Erik Jenelius (ITSC, 2023)

Revealing representative day-types in transport networks using traffic data clustering. - Matej Cebecauer; Erik Jenelius; David Gundlegård; Wilco Burghout (J. Intell. Transp. Syst., 2024)