In this year’s 2022 TRB Annual Meeting, at least two papers are utilizing pNEUMA. Let us know if you have been using pNEUMA for your research! You can find more information on this year’s TRB program here.
A new paper was published in Transportation Research Part D: Transport and Environment entitled “Empirical investigation of the emission-macroscopic fundamental diagram co-authored by LUTS members and Prof. Gonzales from University of Massachussets Amherts, USA. Highlights We analyse vehicle emissions in a multi-modal urban area using the pNEUMA dataset. EPA’s microscopic emission model, project level MOVES is implemented. We investigate aggregated…
TraViA is a new visualisation/annotation tool that supports the pNEUMA dataset. Olger Siebinga, a PhD student from Delft University of Technology, developed TraViA in Python 3 to provide solutions for common problems when working with open datasets. As he reports, “TraViA can be used to visualize and annotate data from highD, pNEUMA, and NGSIM and uses generic vehicle objects to…
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 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…
This year’s prestigious 2020 Greenshields Prize was awarded to Emmanouil Barmpounakis, Guillaume Sauvin and Nikolas Geroliminis, authors of the article “Lane Detection and Lane-Changing Identification with High-Resolution Data from a Swarm of Drones”. The paper is one the first that utilizes pNEUMA to describe a first methodological approach to extract lane-specific information from this new kind of data and set the benchmark for…
The scientific article describing the pNEUMA experiment and the open science initiative for transportation-oriented research has been published in Transportation Research Part C: Emerging Technologies. You can read and download the article here.