考虑驾驶员响应机理的营运客车主动安全预警系统差异化分级调控方法

营运客车驾驶员的危险驾驶行为是导致重特大道路交通事故的重要原因之一。车载主动安全预警系统，作为一种车辆主动安全技术与辅助驾驶技术的集成应用，旨在通过对危险驾驶行为的主动干预，降低行车风险。本项目基于营运客车驾驶员数据、车辆行驶数据与主动安全系统预警数据，研究人（个人属性和驾驶状态）、车（行驶状态）、路和环境（行车环境）复合因素影响下驾驶员对预警信息的响应机理；基于驾驶员主观感知和客观驾驶行为信息，构建营运客车行车风险综合模型；考虑驾驶员个体差异性和场景多样性，提出预警系统差异化分级调控方法，并实现调控方法的在线优化，为提升营运客车安全管理水平提供理论和技术支撑。

The risky driving behaviors of commercial bus drivers have been considered as one of the most prevalent precipitating factors in many severe road traffic accidents. In-vehicle proactive safety warning system (PSWS), as an integrated application of vehicle active safety technology and driver assistance technology, aims at reducing the driving risk through the proactive interventions of risky driving behaviors. Under the joint effects of individual properties, driving status, vehicle operation, and driving environment, the patterns of driving status and response behaviors are analyzed. Based on the subjective perception and objective driving behavior information, a comprehensive driving risk model for commercial bus is developed. After that, considering the differential driver properties and the various driving environment, the hierarchical fine-tuning methods of the PSWS are explored. It is followed by the online optimization and dynamic correction of threshold of the fine-tuning methods based on real-time data. The expected outcomes of this project can enhance the safety management of commercial bus by providing theoretical and technical supports.