基于agent的交通社会行为挑战模型

Samar El-Amine, S. Galland, Abderraffiaa Koukam
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引用次数: 0

摘要

基于agent的建模已经存在了相当长的一段时间,因此为执行基于预测的调度开发了一个重要因素,例如市政城市的运输模型。本文对基于智能体的建模与模仿及其在交通运输模型中的应用有了重要的认识,并对其应用的可能性和优势进行了探讨。然后,本文结合迄今为止有用的基于主体的建模程序,提出了公认的社会行为的想法。文献综述表明,由于计算速度和能力的不断提高,基于代理的建模的适用性比以往任何时候都要好,而对复杂人类行为的理解将是迄今为止开发的模仿和机械化方法的挑战。
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Agent-based Modeling of Social Behavioral Challenges in Transportation
Agent-Based modeling has been around us for reasonably some time now and has thus developed a vital factor for performing prediction-based scheduling, such as the transportation models for municipal cities. This paper assumes the important understanding of the agent-based modelling and imitation and its application to the transportation models while deliberating the possibility of its applications and advantages too. The paper then presents the ideas recognised to the social behaviours in combination with the agent-based modelling procedures useful so far. The literature review showed in lieu of this work has caused in agreement with the fact that the applicability of agent-based modelling is by far superior than ever due to the ever-improving computing speeds and abilities, while the understanding of complex human behaviour will endure to be a challenge for imitations and mechanisation methods developed so far.
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