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…
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.