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2018-American-Interdisciplinary-Contest-in-Modeling

Description

  • Analyzed the capacity of Tesla’s charging network in America based on queuing theory and Voronoi graph
  • Proposed a novel explore-exploit algorithm combining integer programming and dynamic programming to achieve high satisfaction of citizens considering the non-negligible time consumed in the construction of large scale charging station network
  • Creatively applied Michealis-Menten Models in chemistry to fit the complex process of how all-electronic vehicles develop

Contributors

  • Zhipeng Liang
  • Hao Liang
  • Junhao Zhu

The details can be found in paper. This paper receive Meriterious Winner (Top 9% ) in 2018 American Interdisciplinary Contest in Modeling

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  • Python 100.0%