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Tag: code

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

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…

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Using pNEUMA to calibrate car-following models

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…

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UAS4T competition utilizes pNEUMA dataset

The UAS4T Competition, which will be held at the 23rd IEEE International Conference on Intelligent Transportation Systems and is organized by the IEEE ITSS Technical Activities Sub-Committee “Transportation 5.0”, utilizes the πNEUMA dataset. The scope of the competition is to evaluate the accuracy of statistical or CI methods in transportation-related detection problems with specific reference…

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