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 Abstract This study proposes autonomous…
A paper by Allister Loder, Thomas Otte and Klaus Bogenberger was published inTransportation Research Record entitled “Using Large-Scale Drone Data to Monitor and Assess the Behavior of Freight Vehicles on Urban Level”. The authors utilise the pNEUMA dataset to monitor and assess the behaviour of freight vehicles, focusing on the way their stopping behaviour affects traffic flow. Highlights Urban freight…
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…
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). A Macroscopic traffic states analysis…