An Optimization Setup of the Decarbonization Problem in the Transportation Sector

11th International Conference on Network Games, Control and Optimization, NETGCOOP 2024

Authors

Anthony Couthures

Prunelle Vogler

Olivier Beaude

Samson Lasaulce

Irinel-Constantin Morărescu

Published

October 2024

Abstract
This paper proposes an optimization-based formulation of the decarbonization problem for the transportation sector, one of the main sources of CO2 emissions. An important feature of the proposed approach is that a detailed model is considered i.e., with different transportation modes and compositions of the associated fleets of vehicles. Using real data, this optimization problem is solved numerically under monetary and CO2 emissions constraints, but also constraints ensuring the feasibility of the transition. The obtained control actions provide insights into the transition from existing transportation modes to more sustainable ones. A discussion is made on the complexity of this problem: the dependency of resolution time on the budget values is in particular numerically assessed.

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Citation

BibTeX citation:
@inproceedings{couthures2024,
  author = {Couthures, Anthony and Vogler, Prunelle and Beaude, Olivier
    and Lasaulce, Samson and Morărescu, Irinel-Constantin},
  title = {An {Optimization} {Setup} of the {Decarbonization} {Problem}
    in the {Transportation} {Sector}},
  booktitle = {11th International Conference on Network Games, Control
    and Optimization, NETGCOOP 2024},
  date = {2024-10},
  url = {https://anthonycouthures.github.io/publications/2024_netgcoop_decarbonization-transport-optimization.html},
  langid = {en},
  abstract = {This paper proposes an optimization-based formulation of
    the decarbonization problem for the transportation sector, one of
    the main sources of CO2 emissions. An important feature of the
    proposed approach is that a detailed model is considered i.e., with
    different transportation modes and compositions of the associated
    fleets of vehicles. Using real data, this optimization problem is
    solved numerically under monetary and CO2 emissions constraints, but
    also constraints ensuring the feasibility of the transition. The
    obtained control actions provide insights into the transition from
    existing transportation modes to more sustainable ones. A discussion
    is made on the complexity of this problem: the dependency of
    resolution time on the budget values is in particular numerically
    assessed.}
}
For attribution, please cite this work as:
Anthony Couthures, Prunelle Vogler, Olivier Beaude, Samson Lasaulce, and Irinel-Constantin Morărescu. 2024. “An Optimization Setup of the Decarbonization Problem in the Transportation Sector.” 11th International Conference on Network Games, Control and Optimization, NETGCOOP 2024.