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In this article we study how ant algorithms can be adapted to simulate the decision of cyclists in a city with bicycle lanes. The difference between ants and cyclists is that ants don’t have GPS and a shortest-path algorithm: they use a kind of compass and influence each other through pheromones. By comparing ant trajectories with artificial human trajectories, we show that compass and pheromones are relevant in a typical urban graph.

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A Study of an Ant-Based Algorithm to Model Cyclist Behavior in Bicycle-Friendly Cities

  • 会议论文

  • 发表日期：

    2026年

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  • Felix Repusseau,
  • Emmanuel Néron,
  • Tifenn Rault,
  • Nicolas Monmarché

摘要

In this article we study how ant algorithms can be adapted to simulate the decision of cyclists in a city with bicycle lanes. The difference between ants and cyclists is that ants don’t have GPS and a shortest-path algorithm: they use a kind of compass and influence each other through pheromones. By comparing ant trajectories with artificial human trajectories, we show that compass and pheromones are relevant in a typical urban graph.