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English(EN) MATraM: A Multi-Activity Transport and Mobility Agent-Based Model for Activity Modifications

新的基于代理的模型模拟自适应交通行为

研究人员开发了一个名为MATraM的新型代理模型,以改进交通模拟。该模型允许代理在面对不理想的出行条件(如出行时间增加)时,动态调整其日常活动安排。通过将自适应决策整合到活动安排中,MATraM能更真实地反映个体行为和涌现的出行模式。 AI

影响 增强了交通的基于代理建模,可能改进城市规划和交通管理模拟。

排序理由 该集群包含一篇详细介绍用于交通模拟的新型基于代理模型的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]

在 arXiv cs.MA (Multiagent) 阅读 →

AI 生成摘要 · Google Gemini · 来自 1 个来源。 我们如何撰写摘要 →

新的基于代理的模型模拟自适应交通行为

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该集群包含一篇详细介绍用于交通模拟的新型基于代理模型的学术论文。[lever_c_demoted from research: ic=1 ai=0.4]
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报道来源 [1]

  1. arXiv cs.MA (Multiagent) TIER_1 English(EN) · Alison Heppenstall ·

    MATraM:一个用于活动修改的多活动交通和移动基于代理的模型

    This paper introduces the Multi-Activity Transport & Mobility (MATraM) Agent-Based Model (ABM), a novel framework designed to advance activity-based transport modelling by incorporating dynamic activity adaptation. Traditional transport models simulate system performance using va…