After an amazing collaboration with the group of Dr. Ludovic Leclercq at Univ. Gustave Eiffel, a new paper was published in Transportation Research Part C: Emerging Technologies entitled “Empirical observations of multi-modal network-level models: Insights from the pNEUMA experiment”. Highlights Multimodal regressions are defined for mean speed with respect to accumulations or stop durations (two-fluid models). A Macroscopic traffic states analysis…
In this year’s virtual 2021 TRB Annual Meeting, at least four papers are utilizing pNEUMA. Stop by the “virtual” posters to learn more. You can find more information of this year’s TRB program here.
In a previous post we announced that during the 23rd IEEE International Conference on Intelligent Transportation Systems (IEEE ITSC 2020), the UAS4T Competition organized by the IEEE ITSS Technical Activities Sub-Committee “Transportation 5.0” would utilize the πNEUMA dataset. The teams had the chance to get familiar with the πNEUMA sample dataset and after almost a month of preparations 10 of…
In July 2020, Mr. Joachim Landtmeters, MSc student from KU Leuven, successfully conducted the defence of his thesis titled “Analyzing mixed urban traffic by linking large scale trajectory dataset to underlying network”. Mr. Landtmeters had the opportunity to develop a tool to easily get traffic characteristics at any location in the network through a map-matching approach and to analyze multimodal urban…