人工交通系统的基本思想与框架体系

阐述了人工交通系统的基本思想。从分析人工交通系统与仿真交通系统的差异和关系入手，提出了人工交通系统的基本系统构成和框架、主要建模和研究方法，以及分析手段和可能的应用方式。人工交通系统的主要研究手段包括基于代理的方法与编程技术、Petri网及其衍生模型、复杂系统的语言动力学描述、元胞自动机及其广义形式，以及模糊逻辑、神经元网、遗传演化程序和自然计算在内的计算智能方法。此外，还提出了将计算试验方法和并行系统方法用于交通研究的可能途径和效果，并讨论了有关人工交通系统研究中可能出现的问题和进一步的发展方向。

Concepts and Frameworks of Artificial Transportation Systems

This paper introduces the basic concept, framework, and architecture, as well as major methods for modeling and analysis, and potential applications of artificial transportation systems. The relationship between artificial transportation systems and simulated transportation systems is addressed. The potential uses of agent-based modeling and object-oriented programming, Petri nets, linguistic dynamic systems, cellular automata and their generalization, and algorithms in computational intelligence in artificial transportation systems are investigated. In addition, applications of computational experiments and parallel systems methods in transportation research are also addressed. Finally, potential problems and future direction of research in artificial transportation systems are discussed.