Graduate School of System Design and Management, Keio University, Yokohama, Kanagawa 223-8526, Japan.
Sensors (Basel). 2021 Mar 30;21(7):2393. doi: 10.3390/s21072393.
We investigated agent-based model simulations that mimic an ant transportation system to analyze the cooperative perception and communication in the system. On a trail, ants use cooperative perception through chemotaxis to maintain a constant average velocity irrespective of their density, thereby avoiding traffic jams. Using model simulations and approximate mathematical representations, we analyzed various aspects of the communication system and their effects on cooperative perception in ant traffic. Based on the analysis, insights about the cooperative perception of ants which facilitate decentralized self-organization is presented. We also present values of communication-parameters in ant traffic, where the system conveys traffic conditions to individual ants, which ants use to self-organize and avoid traffic-jams. The mathematical analysis also verifies our findings and provides a better understanding of various model parameters leading to model improvements.
我们研究了基于代理的模型模拟，这些模拟模仿了蚂蚁运输系统，以分析系统中的协作感知和通信。在一条路径上，蚂蚁通过趋化作用进行协作感知，以保持恒定的平均速度，而与它们的密度无关，从而避免交通堵塞。使用模型模拟和近似数学表示，我们分析了通信系统的各个方面及其对蚂蚁交通中的协作感知的影响。基于分析，提出了有助于分散自组织的蚂蚁协作感知的见解。我们还提出了蚂蚁交通中通信参数的值，其中系统将交通状况传达给个体蚂蚁，蚂蚁使用这些信息进行自我组织并避免交通堵塞。数学分析也验证了我们的发现，并提供了对导致模型改进的各种模型参数的更好理解。
