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A stochastic traffic model applied to energy consumption estimation

Arthur Le Rhun 1, 2 Frédéric Bonnans 2 Giovanni de Nunzio 1 Thomas Leroy 1 Pierre Martinon 2
2 Commands - Control, Optimization, Models, Methods and Applications for Nonlinear Dynamical Systems
UMA - Unité de Mathématiques Appliquées, Inria Saclay - Ile de France, CMAP - Centre de Mathématiques Appliquées - Ecole Polytechnique
Abstract : In this paper, we introduce a new approach to aggregate traffic data based on speed/acceleration probability distributions. The method allows to estimate energy consumption for vehicles on a road network subdivided into road segments. The key point of the approach is to aggregate data thanks to clustering techniques, to obtain meaningful class of traffic behavior. We also compare the energy consumption obtained to a reference one, using data from a traffic simulator. Numerical simulations include a study of the influence of several parameters of the method.
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Contributor : Pierre Martinon <>
Submitted on : Monday, April 23, 2018 - 5:25:17 PM
Last modification on : Monday, September 30, 2019 - 10:46:02 AM
Long-term archiving on: : Wednesday, September 19, 2018 - 12:58:04 AM


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  • HAL Id : hal-01774621, version 1


Arthur Le Rhun, Frédéric Bonnans, Giovanni de Nunzio, Thomas Leroy, Pierre Martinon. A stochastic traffic model applied to energy consumption estimation. 2018. ⟨hal-01774621v1⟩



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