基于交互式并行驾驶模拟实验的跟驰状态汽车驾驶倾向性动态辨识模型验证方法

驾驶倾向性的实时识别是实现汽车辅助驾驶尤其是主动安全预警系统智能化的关键理论和技术.通过交互式并行模拟驾驶实验获取跟驰状态下各倾向性类型的行车数据对建立的驾驶员倾向性的动态辨识模型进行验证,并将验证结果与心理问卷测试的结果相对比.结果表明所建辨识模型可行,能够实现对跟驰状态下驾驶员倾向性类型的实时识别,为个性化汽车主动安全系统的实现提供理论基础.

The Verification Method of Vehicle Driving Tendency Dynamic Recognition Model Based on Interactive Parallel Driving Simulated Experiments under Car Following

Real-time recognition of the driving tendency is the key important theory and technology in achieving the intelligence of auxiliary auto-driving,especially the intellectualization of the active security warning system.Driving data of different drivers under car following are obtained through the interactive parallel driving simulated experiments.The established dynamic recognition model of driving tendency is verified and the verified results are compared with the results of psychological questionnaire tests.Results show that the established identification model is feasible,it can realize real-time recognition of the driver tendentious types under car following and provide theoretical basis for the realization of personalized automobile active safety system.