Receding-horizon prediction of vehicle velocity profile using deterministic and stochastic deep neural network models

HIGHLIGHTS

• who: Jakov Topić and collaborators from the Faculty of Mechanical Engineering and Naval Architecture, University of Zagreb, Zagreb, Croatia have published the article: Receding-Horizon Prediction of Vehicle Velocity Profile Using Deterministic and Stochastic Deep Neural Network Models, in the Journal: Sustainability 2022, 10674 of /2022/
• what: The paper firstly proposes a deterministic deep feedforward neural network model aimed at predicting the city bus velocity profile over receding time horizon based on the following inputs: actual vehicle position actual velocity or short-term history of vehicle velocities time of day and day of week. The . . .
  

   

  

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