Transportation modeling: an artificial life approach

14th IEEE International Conference on Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings. Pub Date : 2002-11-04 DOI:10.1109/TAI.2002.1180807

P. Lucic, D. Teodorovic

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引用次数: 156

Abstract

Artificial life (ALife) uses biological knowledge and techniques to help solve different engineering, management, control and computational problems. Natural systems teach us that very simple individual organisms can form systems capable of performing highly complex tasks by dynamically interacting with each other. The main goal of this paper is to show how we can use ALife concepts (inspired by some principles of natural swarm intelligence) when solving complex problems in traffic and transportation. The bee system that represents the new approach in the field of swarm intelligence is described. It is also shown in the paper that ALife approach can be successful to "attack" transportation problems characterized by uncertainty. The fuzzy ant system (FAS) described in the paper represents an attempt to handle the uncertainty that sometimes exists in some complex transportation problems. The potential applications of the bee system and the fuzzy ant system in the field of traffic and transportation engineering are discussed.

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交通建模:人工生命方法

人工生命(ALife)利用生物学知识和技术来帮助解决不同的工程、管理、控制和计算问题。自然系统告诉我们，非常简单的个体生物可以通过相互动态互动形成能够执行高度复杂任务的系统。本文的主要目标是展示我们如何在解决交通和运输中的复杂问题时使用ALife概念(受到自然群体智能的一些原理的启发)。描述了代表群体智能领域新方法的蜜蜂系统。本文还表明，ALife方法可以成功地“攻击”具有不确定性特征的运输问题。本文所描述的模糊蚁群系统(FAS)是对复杂运输问题中存在的不确定性的一种尝试。讨论了蜜蜂系统和模糊蚂蚁系统在交通运输工程领域的潜在应用。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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14th IEEE International Conference on Tools with Artificial Intelligence, 2002. (ICTAI 2002). Proceedings.

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