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A validated agent-based model for stress testing charging infrastructure utilization

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  • Helmus, Jurjen R.
  • Lees, Michael H.
  • van den Hoed, Robert

Abstract

Deployment and management of environmental infrastructures, such as charging infrastructure for Electric Vehicles (EV), is a challenging task. For policy makers, it is particularly difficult to estimate the capacity of current deployed public charging infrastructure for a given EV user population. While data analysis of charging data has shown added value for monitoring EV systems, it is not valid to linearly extrapolate charging infrastructure performance when increasing population size.

Suggested Citation

  • Helmus, Jurjen R. & Lees, Michael H. & van den Hoed, Robert, 2022. "A validated agent-based model for stress testing charging infrastructure utilization," Transportation Research Part A: Policy and Practice, Elsevier, vol. 159(C), pages 237-262.
    • Handle: RePEc:eee:transa:v:159:y:2022:i:c:p:237-262
    DOI: 10.1016/j.tra.2022.03.028
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    1. Breschi, Valentina & Ravazzi, Chiara & Strada, Silvia & Dabbene, Fabrizio & Tanelli, Mara, 2023. "Driving electric vehicles’ mass adoption: An architecture for the design of human-centric policies to meet climate and societal goals," Transportation Research Part A: Policy and Practice, Elsevier, vol. 171(C).
    2. Cai, Zeen & Li, Chuanjia & Mo, Dong & Xu, Shuyang & Chen, Xiqun (Michael) & Lee, Der-Horng, 2024. "Optimizing consolidated shared charging and electric ride-sourcing services," Transportation Research Part E: Logistics and Transportation Review, Elsevier, vol. 184(C).

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