【作者】 苑盛成； 刘奕； 王刚桥； 刘艺； 张辉；

【Author】 Shengcheng YUAN;Yi LIU;Gangqiao WANG;Yi LIU;Hui ZHANG;Institute of Public Safety Research, Department of Engineering Physics, Tsinghua University;

【机构】 清华大学工程物理系公共安全研究院；

【摘要】 为了较好地描述驾驶行为多样性,本文在考虑了应急状态下机动车可能产生的驾驶行为模式的基础上,提出了一种微观交通疏散仿真的驾驶行为元模型架构,称为DGIT框架。该框架由决策活动(Decision)、博弈活动(Game)、个体活动(Individual)和变换活动(Transform)四部分组成,能够有效地实现不同层面的异构模型的交互和结合,实现异构模型在统一框架内灵活调用与协作运行。使用本框架,可以在不同的场景、主体、时间、数据形式之间自由耦合,从而使得仿真系统有能力刻画驾驶行为的多样性。基于本框架开发了大规模疏散的仿真系统,对比仿真实验表明,基于本框架的仿真系统能够刻画驾驶行为的多样性所产生的差异,并给出定量评价,可为疏散过程的决策与优化提供有效的支持。更多还原

【Abstract】 Driver behavior diversity affects traffic process greatly especially for the traffic evacuation process. Taking the driver behavior diversity into consideration, this paper developed a meta-model of driver behavior in microscopic traffic evacuation simulation, named DGIT frame, which are Decision, Game, Individual and Transform. DGIT frame integrates heterogeneous models in different levels into a unified workflow. By using this frame, driver behavior models can be coupled in various scenarios, between different agents, during multi-period and within big data resources. Based on integrating models with different structures or functions, DGIT may describe driver behavior diversity satisfactorily. A simulation system is developed in this paper with DGIT frame, and comparison simulation experiments were performed. Simulation results prove the capability of DGIT frame for describing diversity and evaluating plan and decision strategy.更多还原