基于无干扰在途测试的平面交叉口自解释特征研究

An intersection is pretty key in urban traffic network where two or more roads meet or cross. In particular, risk-intersections with various traffic incidents such as rural-urban areas, exits and entrances to residence community, routes to school, is of extremely complicated, various types of traffic conflicts between cars and vulnerable road users often result in injuries and fatalities.This project will be primarily focused on understanding characteristics of risky intersections. For this purpose, our research will conduct the following research activities. (1) to analyze driving cognitive mechanisms at the risky intersections by means of on-road test without disturbances; (2) to measure driving situation awarenes and identify driver visual process in a potentially hazardous intersections; (3) to develop hierarchical cognitive modular architecture between driving cognitive and traffic incidents; (4) to propose the concept of self-explaining intersection and specify its characteristics, in which advocates a traffic environment that elicits safe driving behaviour simply by its design;(5) to identify the influence self-explaining intersection on the urban traffic operations as a traffic benchmarking;(6) to explore a methodology of risk-tolerance analysis of self-explaining intersections with complicated traffic operations for an effect of cognitive road classification as such on the level of driving speed. It is essential to investigate the influence of external and internal factors on a driver’s typical behavior in order to clarify natural driving behavior under risky intersections.

平面交叉口是城市道路交通网络的重要节点，尤其是具有复杂多变交通事件的城乡结合部、进入居民区的入口处、靠近学校的区域，以及经常发生交通事故的交叉口，这类高风险性交叉口常常汇集了弱势道路参与者、混合交通现象严重、冲突危险因素多、交通态势复杂，给机动车行驶安全带来了很大的困难。本项目着重依据无干扰在途测试来深入系统地研究平面交叉口中驾驶认知行为形成模式，界定平面交叉口交通要素对驾驶情景意识的影响及其视认机制，建立交叉口多维交通环境信息量与犹豫区形成的关系模型，辨识自解释性平面交叉口的内涵并揭示其特征，构建一种只依靠自身设计来实现交通安全与效能综合协调的交叉口环境，提出基于驾驶认知的自解释平面交叉口的容错性分析理论与方法，从交通参与者-道路环境安全交互的角度识别自解释平面交叉口对提高城市道路交通安全的作用。

本项目通过无干扰驾驶测试来深入系统地研究了平面交叉口中驾驶认知行为形成模式，界定出平面交叉口交通要素对驾驶情景意识的影响及其视认机制，提出了交叉口多维交通环境信息量与犹豫区形成的关系模型，辨识出自解释性平面交叉口的内涵并揭示其特征，建立了基于驾驶认知的自解释平面交叉口的容错性分析理论与方法，为依靠自身设计来实现交通安全与效能综合协调的交叉口环境提供理论依据和技术基础。主要研究成果包括：基于视觉信息的平面交叉口无干扰驾驶认知行为形成的解析，高风险性平面交叉口多变交通事件对驾驶情景意识的影响机制，自解释平面交叉口多状态交通环境信息量与驾驶认知的动态交互关系，可解释自增强的高风险性平面交叉口容错性分析方法。本项目所获得的相关研究成果已在重要学术刊物上发表论文11篇，其中高水平国际学术刊物4 篇、其它国际学术刊物上5篇，有2篇中文论文分别发表在《机械工程学报》和《汽车工程》，主办了绿色智能交通系统与安全国际学术会议4届并做大会报告2次，以第一完成人获得Springer Nature中国新发展奖并入选中国高被引学者，完成博士后、博士和硕士培养10名，其中进行研究生、博士后国际联合培养4名。

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