NeuralMOVES: A lightweight and microscopic vehicle emission estimation model based on reverse engineering and surrogate learning

Documenti analoghi

• Multi-residual Mixture of Experts Learning for Cooperative Control in Multi-vehicle Systems
  di: Jayawardana, Vindula, et al.
  Pubblicazione: (2025)
• Estimating link level traffic emissions: enhancing MOVES with open-source data
  di: Wang, Lijiao, et al.
  Pubblicazione: (2025)
• Constructing the fundamental diagrams of traffic flow from large-scale vehicle trajectory data
  di: He, Zhengbing, et al.
  Pubblicazione: (2025)
• What is a typical signalized intersection in a city? A pipeline for intersection data imputation from OpenStreetMap
  di: Qu, Ao, et al.
  Pubblicazione: (2024)
• Model-Based Transfer Learning for Contextual Reinforcement Learning
  di: Cho, Jung-Hoon, et al.
  Pubblicazione: (2024)