AAC 2025 Paper Abstract

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Paper WeA2.2

Lakshmanan, Vinith Kumar (IFP Energies Nouvelles), Guichet, Xavier (IFP Energie nouvelles), Sciarretta, Antonio (IFP)

Backcasting Policies in Transport Systems As an Optimal Control Problem : An Example with Electric Vehicle Purchase Incentives

Scheduled for presentation during the Regular Session "Optimization of transportation infrastructure" (WeA2), Wednesday, June 18, 2025, 11:20−11:40, Jos

AAC 2025 11th IFAC International Symposium on Advances in Automotive Control, June 15-18, 2025, Eindhoven, Netherlands

This information is tentative and subject to change. Compiled on December 13, 2025

Keywords Modeling and optimization of ride-share and multi-mode transportation systems

Abstract

This study represents a first attempt to build a backcasting methodology to identify the optimal policy roadmaps in transport systems. Specifically, it considers a passenger car fleet subsystem, modelling its evolution and greenhouse gas emissions. The policy decision under consideration is the monetary incentive to drive electric vehicles purchase. This process is cast as an optimal control problem with the objective to minimize the total budget of the state and reach a desired CO$_2$ target. A case study applied to Metropolitan France is presented to illustrate the approach. Additionally, alternative policy scenarios are also analyzed.

 

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