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An exactly solvable model for single-lane unidirectional ant traffic

Author

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  • Ngoc, Ngo Phuoc Nguyen
  • Thi, Huynh Anh
  • Vinh, Nguyen Van

Abstract

In 2002, Chowdhury et al. introduced a simplified model aimed at depicting the dynamics of single-lane unidirectional ant traffic. Despite efforts, an exact solution for the stationary state of this ant-trail model remains elusive. The primary challenge arises from inherent fluctuations in the total amount of pheromones along the ant trail. These fluctuations significantly influence ant movement. Consequently, unlike conventional models involving driven interacting particles, the average velocity exhibits non-monotonic behavior with ant density. In this study, we propose an exactly solvable model for ant traffic based on the dynamics in Chowdhury et al.’s model and discuss the circumstances under which the non-monotonic trend in average velocity arises.

Suggested Citation

  • Ngoc, Ngo Phuoc Nguyen & Thi, Huynh Anh & Vinh, Nguyen Van, 2024. "An exactly solvable model for single-lane unidirectional ant traffic," Physica A: Statistical Mechanics and its Applications, Elsevier, vol. 651(C).
    • Handle: RePEc:eee:phsmap:v:651:y:2024:i:c:s0378437124005314
    DOI: 10.1016/j.physa.2024.130022
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    References listed on IDEAS

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    1. Michael J. B. Krieger & Jean-Bernard Billeter & Laurent Keller, 2000. "Ant-like task allocation and recruitment in cooperative robots," Nature, Nature, vol. 406(6799), pages 992-995, August.
    2. E. Bonabeau & M. Dorigo & G. Theraulaz, 2000. "Inspiration for optimization from social insect behaviour," Nature, Nature, vol. 406(6791), pages 39-42, July.
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