本论文主要讨论的是人工交通系统的基本研究方法。文中首先对我国仿真交通系统发展的现状进行了归纳总结，并得出自上而下的传统的还原式的仿真交通系统研究方法很难或无法解决复杂交通系统所面临的诸多问题，而自下而上的综合型的人工交通系统研究方法为复杂交通系统的研究提供了一条有意义的途径。然后，本文以城市交通为主要研究对象，融合物流系统和生态系统，从系统的观点出发，采用自下而上的基于代理的建模技术，在“不断探索和改善”的原则下，利用人工社会、计算实验、平行系统、交通服务水平指数等方法和理论，结合从定性到定量的综合集成研讨厅方法，在不断探索和改善的原则下，寻求城市交通、物流和生态等城市化问题的有效解决方案，建立城市交通系统全面、协调、可持续发展的新型研究方法和体系。

This paper discusses basic approaches in artificial transportation systems. It starts a survey on the current developments of traffic simulation systems, addresses the ineffectiveness of the top-down reductionism in conventional traffic simulation methods, and proposes an effective tool of bottom-up holism artificial transportation systems to solve the problems of complex transportations systems. The main subject here will be metropolitan transportation systems that take both metropolitan logistics and ecosystems into consideration. We will adopt a bottom-up agent-based technology to build models and management and control strategies for metropolitan transportation, logistics and ecosystems. Meanwhile, we will also integrate artificial societies, computational experiments, parallel systems, traffic level of service index, and the hall for workshop of metasynthetic engineering from qualitative to quantitative analysis to find effective solutions to problems in metropolitan transportation, logistics and ecosystems and build a new approach and framework to facilitate integrated, coordinated, and sustainable development of metropolitan systems under the principle of continuous investigation and improvement.