人工交通系统是一种新型的交通仿真策略,它综合了Agent建模,分布式计算和人工社会的概念与方法,旨在对交通系统的规划、分析与设计、突发事件的紧急预案以及交通参与人员的培训等提供实验支持.本文建立了车辆、交通设施和商场的Agent模型,重点阐述了基于对等计算平台JxTA体系构架,利用P2P通讯机制构建人工交通系统的步骤和具体方法,并通过仿真实例验证了该方法的可行性.最后对人工交通系统的运行策略与机制问题以及下一步的工作进行了探讨.
An artificial transportation system is a new type of traffic simulation software that employs agent modeling, distributed computing and concept of artificial societies to support the research and development in transportation. In this paper, models of vehicles, transportation infrastructures and a shopping center are described first, and the design and implementation of the basic ideas of artificial transportation systems based on a framework using P2P computing platform JXTA are stated in steps. Future work and issues related to operational mechanisms and strategies for such implementation are also addressed.