A very interesting paper has been published in IEEE Transactions on Intelligent Transportation Systems entitled “High Time-Resolution Queue Profile Estimation at Signalized Intersections Based on Extended Kalman Filtering” utilising the pNEUMA dataset.. The authors from Zhejiang University, Aalto University and University of Illinois at Urbana-Champaign, used both simulated and real-world data to evaluate the performance of their methodology. Highlights A…
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…