将社会行为因素纳入道路交叉口设计之中，是提高交叉口人性化及交通有序性的重点和难点。因此，形式化并集成交通社会行为与工程设计知识，识别、描述和量化模拟交叉口社会行为作用机理及其影响，具有理论价值和现实意义。本项目以软系统方法、知识工程、社会行为学及元胞自动机等为基础，通过以参与者为核心的交通情景采集、诉求和专家访谈，结合交叉口设计规范及研究文献，解析交叉口社会复杂性，确定系统边界、组成和结构；通过交通社会行为文献挖掘、情景聚类分析等，建立不同层次叙词表，并集成为基于本体的人性化交叉口机理模型，以本体公理形式化描述交通行为内部及作用机理；构建并集成基于CA的交叉口理想模型、参与者特征模型和参与者交互模型，以基于本体的Agent细化参与者行为心理及互动特征，形成多层次集成的CA模型及综合模拟平台；以典型交叉口为例验证研究有效性，为交叉口人性化设计提供模拟辅助决策，为类似交通社会问题研究提供借鉴。

It is critical and difficult to involve social behavior factors into the engineering design of road intersections, which will improve the humanism and traffic order of intersections. So, it has great theoretical value and practical significance to realize the normalization and integration of the knowledge in traffic engineering and social engineering areas to identify, describe and simulate the mechanism and impacts of social behaviors. This project is based on the methods of Soft Systems Approach, knowledge engineering, social behavior and Cellular Automata. Based on the expert interview, argument among participants over traffic scenarios, and intersection design specifications and research literatures, we analyze the social complexity of road intersection, and determine its boundary, composition and structure. Through the literature mining on traffic social behavior, and cluster analysis of the scenarios, different levels of constructs will be set up and then integrated to be an ontology-based mechanism model of humanism intersection, which will formally describe the internal and functional mechanism of traffic behaviors. Then, the CA-based ideal intersection model, participant characteristics model and participant interaction model are designed and integrated to be a Hierarchical CA model and a comprehensive simulation platform, in which Ontology-based-Agent is used to refine the traffic behaviors, psychological and interactive features of participants. Typical intersections will be studied as examples to verify the theory and methods, which will provide decision-making support for the humanism design of intersections, and reference for similar traffic social issues.