摘要翻译:
我们在这篇文章中描述了一个多智能体城市交通仿真,因为我们认为基于个体的建模是必要的,以包含单个车辆的行为对整个车辆流动的复杂影响。我们首先描述如何从纯几何数据ESRI Shapefiles构建网络的图形描述。然后我们解释如何将交通相关数据包含到此图中。然后,我们继续与模型的车辆代理:始发地和目的地,驾驶行为,多车道,十字路口,以及与其他车辆的日常互动,?普通?交通。最后,我们给出了该模型对鲁昂凝聚的模拟结果。
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英文标题:
《A multiagent urban traffic simulation Part I: dealing with the ordinary》
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作者:
Pierrick Tranouez (LITIS), Patrice Langlois (IDEES), Eric Daud\'e
(IDEES)
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最新提交年份:
2009
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分类信息:
一级分类:Computer Science 计算机科学
二级分类:Artificial Intelligence 人工智能
分类描述:Covers all areas of AI except Vision, Robotics, Machine Learning, Multiagent Systems, and Computation and Language (Natural Language Processing), which have separate subject areas. In particular, includes Expert Systems, Theorem Proving (although this may overlap with Logic in Computer Science), Knowledge Representation, Planning, and Uncertainty in AI. Roughly includes material in ACM Subject Classes I.2.0, I.2.1, I.2.3, I.2.4, I.2.8, and I.2.11.
涵盖了人工智能的所有领域,除了视觉、机器人、机器学习、多智能体系统以及计算和语言(自然语言处理),这些领域有独立的学科领域。特别地,包括专家系统,定理证明(尽管这可能与计算机科学中的逻辑重叠),知识表示,规划,和人工智能中的不确定性。大致包括ACM学科类I.2.0、I.2.1、I.2.3、I.2.4、I.2.8和I.2.11中的材料。
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英文摘要:
We describe in this article a multiagent urban traffic simulation, as we believe individual-based modeling is necessary to encompass the complex influence the actions of an individual vehicle can have on the overall flow of vehicles. We first describe how we build a graph description of the network from purely geometric data, ESRI shapefiles. We then explain how we include traffic related data to this graph. We go on after that with the model of the vehicle agents: origin and destination, driving behavior, multiple lanes, crossroads, and interactions with the other vehicles in day-to-day, ?ordinary? traffic. We conclude with the presentation of the resulting simulation of this model on the Rouen agglomeration.
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PDF链接:
https://arxiv.org/pdf/0909.1021