Coordinating charging request allocation between self-interested navigation service platforms
Marianne Guillet, Maximilian Schiffer

TL;DR
This paper models the allocation of EV charging stations among competing navigation platforms as a game, demonstrating that VCG mechanisms can significantly reduce social costs in both offline and online scenarios.
Contribution
It introduces a game-theoretic model for charging station allocation among self-interested platforms and evaluates VCG mechanisms to improve social outcomes.
Findings
VCG mechanisms reduce social costs by up to 52%.
No pure Nash equilibrium guarantees exist in the proposed game.
Significant improvements observed in Berlin case studies.
Abstract
Current electric vehicle market trends indicate an increasing adoption rate across several countries. To meet the expected growing charging demand, it is necessary to scale up the current charging infrastructure and to mitigate current reliability deficiencies, e.g., due to broken connectors or misreported charging station availability status. However, even within a properly dimensioned charging infrastructure, a risk for local bottlenecks remains if several drivers cannot coordinate their charging station visit decisions. Here, navigation service platforms can optimally balance charging demand over available stations to reduce possible station visit conflicts and increase user satisfaction. While such fleet-optimized charging station visit recommendations may alleviate local bottlenecks, they can also harm the system if self-interested navigation service platforms seek to maximize…
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Taxonomy
TopicsElectric Vehicles and Infrastructure · Transportation and Mobility Innovations · Energy, Environment, and Transportation Policies
Methodstravel james
