opendata – pNEUMA | open-traffic

Multi-agent Signal-less Intersection Management with Dynamic Platoon Formation

Code, PublicationsJune 8, 20239KViews 0Likes 0Comments

A paper by Phuriwat Worrawichaipat, Enrico H. Gerding, Ioannis Kaparias and Sarvapali Ramchurn was presented in AAMAS 2023 entitled "Multi-agent Signal-less Intersection Management with Dynamic Platoon Formation". The paper that was presented in the Innovative Applications and is utilizing the pNEUMA dataset to validate and evaluate their work on signal-less traffic control. Abstract We propose…

Treating Noise and Anomalies in pNEUMA dataset

Code, PublicationsMay 1, 20232KViews 0Likes 0Comments

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…

Investigating lane usage, lane changing and lane choice

PublicationsApril 18, 20236KViews 0Likes 0Comments

A paper by Jasso Espadaler Clapés,Manos Barmpounakis and Nikolas Geroliminis was published inTransportation Research Part A: Policy and Practice entitled "Empirical investigation of lane usage, lane changing and lane choice phenomena in a multimodal urban arterial". The authors utilise the pNEUMA dataset to investigate lane usage, lane changing and lane choice phenomena utilising the pNEUMA…

pNEUMA Vision: The visual extension of pNEUMA

PublicationsJanuary 9, 20234KViews 0Likes 0Comments

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…

Using pNEUMA to calibrate car-following models

Code, PublicationsDecember 8, 20224KViews 0Likes 0Comments

A paper by Yifan Zhang, Xinhong Chen, Jianping Wang, Zuduo Zheng, Kui Wu was published inTransportation Research Part C: Emerging Technologies entitled "A generative car-following model conditioned on driving styles". The authors utilise the pNEUMA dataset to calibrate an intelligent Intelligent Driver Model (IDM) with time-varying parameters and train the neural process (NP)-based model. Highlights…

UAS4T Competition results and codes

Code, Various NewsSeptember 24, 202013KViews 0Likes 0Comments

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…

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