pNEUMA is a large-scale dataset of naturalistic trajectories of 0.5 million vehicles that have been collected by a one-of-a-kind experiment by a swarm of drones
By offering an intuitive interface, users can quickly identify relevant parts of the dataset for their research, saving time and enhancing productivity.
Project funded by the #OpenResearchData programme of the ETH domain.
@EPFLOpenScience@epflENAC#OpenScience#OpenData
Explore the pNEUMA dataset
Check out our new visualization tool. We developed an interactive visualisation platform for the pNEUMA dataset.
https://t.co/VAT8Cf9d86
The newly developed platform allows researchers to easily visualize and interact with this extensive trajectory dataset collected by drones using maps and traffic metrics like vehicle speed, acceleration or density.
We are organising a Special Session (SS21) on "Integration of #UAS in the #future#smartcity for #mobility" in #IEEE ITSC 23, September 24 - 28, Bilbao, Spain!
Feel free to contact me or Nikolas Geroliminis, if you wish to obtain any additional info.
Deadline: May 15, 2023
Can we use the @open_traffic dataset to extend the #MFD to the empirical emissions-MFD (e-MFD)? Of course we can! Find more information in the #openaccess article here: https://t.co/x2RWjo9BFm
Working with large real-world traffic datasets can be hard - check out TraViA, a new open-source visualization/annotation tool developed by Olger Siebinga, a PhD student @tudelft3mE I co-supervise with David Abbink.
Working with large real-world traffic datasets can be hard - check out TraViA, a new open-source visualization/annotation tool developed by Olger Siebinga, a PhD student @tudelft3mE I co-supervise with David Abbink.
Since October 2020 when we launched this open science initiative more than 200 groups from 45 countries have downloaded the πNEUMA dataset to develop and test their own models. #OpenScience
Starting today, the campus will serve as a testing ground for a high-tech delivery service that uses a self-driving van @EPFLdurable https://t.co/1qQ6efuyZq
Click to the link below to download the codes and reports from all the team that took part in the #UAS4T competition that took place during the @itsc2020! Congratulations to all and especially to the team from Virginia Tech!
https://t.co/FbMsWeabEJ
The Top 3 teams have already been informed to present their work in the dedicated UAS4T Competition Session. The winner of the competition will be announced during the closing ceremony of the @itsc2020
We are happy to announce the UAS4T Competition, which will be held at the #itsc2020. This year’s competition is organized by the IEEE ITSS Technical Activities Sub-Committee "Transportation 5.0". For more information: https://t.co/LYu2tiFPgX
Another new feature of the site is the pNEUMA blog. There we will be posting the code of different open-source projects related to pNEUMA organized by thematic areas.
We are very excited to reveal our newly designed website https://t.co/leTRRYG7Eh. The new website is faster, easier to navigate and more user-friendly. But most importantly, you can now download the full pNEUMA dataset, a massive urban trajectory dataset.
After some months of hard work and dedication during these unprecedented and difficult times, we are now sharing the full pNEUMA dataset. You can download the data you want simply by choosing the drone(s), the day and the flight session.