A collaboration between researchers from EPFL LUTS and TUM TUM School of Engineering and Design resulted in the publication of a paper entitled “Treating Noise and Anomalies in Vehicle Trajectories From an Experiment With a Swarm of Drones” in IEEE Transactions on Intelligent Transportation Systems. Vishal Mahajan, Manos Barmpounakis, Md. Rakib Alam, Nikolas Geroliminis and Constantinos Antoniou utilise the pNEUMA…
You can download the extension of the pNEUMA dataset, nicknamed pNEUMA Vision in the downloads section of our website or here. pNEUMA Vision incorporates imagery data and annotations of vehicles in the form of image coordinates along with newly added vehicle trajectory features like azimuth. More information can be found in the related journal article in TRC (here) where we…
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…
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…
