基于分层Logit模型的车辆换道行为研究
发布时间：2018-11-04 14:36
【摘要】：研究分析复杂交通场景中车辆换道行为,揭示车辆运行特性及其规律。基于效用理论方法,以实现驾驶行为决策效用最大化为目标,建立车辆换道分层Logit模型。系统分析影响车辆行为变化的因素,建立各层次参数变量相关模型。仿真分析表明:较一般的车辆行为模型,车辆换道分层Logit模型更能准确地描述实际交通场景中车辆换道的行为决策过程,有效提高车辆运行效率。研究结果为智能车路协同与交互行为、车辆可变限速技术、自适应巡航控制技术等提供理论依据和技术支撑。
[Abstract]:This paper studies and analyzes the changing behavior of vehicles in complex traffic scenes, and reveals the characteristics and rules of vehicle operation. Based on the utility theory and method, the hierarchical Logit model of vehicle change was established to maximize the utility of driving behavior decision. The influence factors of vehicle behavior are analyzed systematically, and the correlation model of parameter variables at different levels is established. The simulation results show that compared with the general vehicle behavior model, the hierarchical Logit model can more accurately describe the behavior decision-making process of the vehicle in the actual traffic scene, and effectively improve the efficiency of the vehicle operation. The results provide theoretical basis and technical support for intelligent vehicle path coordination and interactive behavior, vehicle variable speed limit technology, adaptive cruise control technology and so on.
【作者单位】： 青岛理工大学汽车与交通学院;
【基金】：国家自然科学基金项目(51178231)资助
【分类号】：U491.25
[Abstract]:This paper studies and analyzes the changing behavior of vehicles in complex traffic scenes, and reveals the characteristics and rules of vehicle operation. Based on the utility theory and method, the hierarchical Logit model of vehicle change was established to maximize the utility of driving behavior decision. The influence factors of vehicle behavior are analyzed systematically, and the correlation model of parameter variables at different levels is established. The simulation results show that compared with the general vehicle behavior model, the hierarchical Logit model can more accurately describe the behavior decision-making process of the vehicle in the actual traffic scene, and effectively improve the efficiency of the vehicle operation. The results provide theoretical basis and technical support for intelligent vehicle path coordination and interactive behavior, vehicle variable speed limit technology, adaptive cruise control technology and so on.
【作者单位】： 青岛理工大学汽车与交通学院;
【基金】：国家自然科学基金项目(51178231)资助
【分类号】：U491.25
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