交通系统建模与仿真

《交通系统建模与仿真》以大规模综合交通网络系统为对象，介绍了系统仿真建模理论与方法；交通系统仿真概率统计基础；仿真结果分析与模型校验方法；多方式出行行为分析建模与仿真；交通流理论与微观交通仿真；综合交通网络中微观一体化建模与仿真；交通网络分布式并行仿真算法；基于GIS的综合交通网络仿真系统开发与实现技术；综合交通系统状态仿真评估技术应用等。《交通系统建模与仿真》融合交通流理论、交通系统仿真、交通需求预测及地理信息系统理论与方法，讨论开发支持大范围多种交通方式的综合交通网络仿真试验系统的关键技术。仿真系统用于分析多模式交通信息对交通行为的影响，进行城市交通系统运行状态和综合效能的评估，为城市综合交通网络科学规划、优化设计与交通管理对策的制定提供支持。

MANAGING BUSINESS COMPLEXITY

Agent-based modeling and simulation (ABMS), a way to simulate a large number of choices by individual actors, is one of the most exciting practical developments in business modeling since the invention of relational databases. It represents a new way to understand data and generate information that has never been available before--a way for businesses to view the future and to understand and anticipate the likely effects of their decisions on their markets and industries. It thus promises to have far-reaching effects on the way that businesses in many areas use computers to support practical decision-making. Managing Business Complexity is the first complete business-oriented agent-based modeling and simulation resource. It has three purposes: first, to teach readers how to think about ABMS, that is, about agents and their interactions; second, to teach readers how to explain the features and advantages of ABMS to other people and third, to teach readers how to actually implement ABMS by building agent-based simulations. It is intended to be a complete ABMS resource, accessible to readers who haven't had any previous experience in building agent-based simulations, or any other kinds of models, for that matter. It is also a collection of ABMS business applications resources, all assembled in one place for the first time. In short, Managing Business Complexity addresses who needs ABMS and why, where and when ABMS can be applied to the everyday business problems that surround us, and how specifically to build these powerful agent-based models.