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Eco-driving strategies using reinforcement learning for mixed traffic in the vicinity of signalized intersections

PublicationsJune 10, 20242KViews0Likes0Comments
A paper by Zhiwei Yang, Zuduo Zheng, Jiwon Kim and Hesham Rakha was published inTransportation Research Part C: Emerging Technologies entitled "Eco-driving strategies using reinforcement learning for mixed traffic in the vicinity of signalized intersections". The authors utilise the pNEUMA dataset instead of simulated trajectories toused to train and test the reinforcement learning methods. Highlights…

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Empirical investigation of the emission-macroscopic fundamental diagram

PublicationsNovember 16, 20217KViews0Likes0Comments
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…

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Empirical observations of multi-modal network-level models: Insights from the pNEUMA experiment

PublicationsAugust 30, 20216KViews0Likes0Comments
After an amazing collaboration with the group of Dr. Ludovic Leclercq at Univ. Gustave Eiffel, a new paper was published in Transportation Research Part C: Emerging Technologies entitled "Empirical observations of multi-modal network-level models: Insights from the pNEUMA experiment". Highlights Multimodal regressions are defined for mean speed with respect to accumulations or stop durations (two-fluid models).…

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