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基于组合模型的自行车微观仿真 被引量:3

Bicycle Micro-simulation Based on a Combined Model
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摘要 为弥补社会力模型应用到自行车仿真领域的缺陷,解决模型应用时存在自行车之间相互接触的问题,建立更为细致真实的自行车微观仿真模型,基于社会力模型,引入骑行者生理感知空间并结合颗粒离散元的接触理论改进了接触力,同时考虑不同形式车道边界对自行车的影响改进了边界作用力,从而构建了自行车微观组合模型.从基本图、骑行现象、间距分析3个方面的验证结果表明,组合模型运行结果与实测数据具有良好的一致性,能较好地描述自行车交通情况.最后,应用该模型得到路侧停车、护栏、绿化带、路缘石4种边界形式的折减系数分别为0.901、0.928、0.940、0.965,可为自行车的运营管理、车道设施的设计及建设提供理论依据. To make up for the defect of a social force model,solve the unreasonable contact between bicycles in model application,and establish a more detailed and real bicycle simulation model,based on the social force model,this paper introduced the concept of cyclist’s physiological perception space and combines discrete element method to describe virtual contact between non-motorized vehicles.The influence of different non-motorized lane boundaries was considered and the combined model was built.Finally,the combined model was validated from three aspects:basic graph,riding phenomenon and spacing analysis.Results show that the combined model can better express the bicycle flow and has good consistency with the reality.The reduction coefficients of roadside parking,guardrail,green belt and curb are given as 0.901,0.928,0.940 and 0.965,respectively,which can provide theoretical basis for bicycle operation management,facility design and construction.
作者 张蕊 严巧兵 胡润泽 马尚 ZHANG Rui;YAN Qiaobing;HU Runze;MA Shang(School of Civil and Transportation Engineering,Beijing University of Civil Engineering and Architecture,Beijing 100044,China;General Aviation Beijing Laboratory,Beijing University of Civil Engineering and Architecture,Beijing 100044,China;Beijing Urban Transportation Infrastructure Engineering Technology Research Center,Beijing 100044,China;Beijing Public Transport Corporation,Beijing 100161,China)
出处 《北京工业大学学报》 CAS CSCD 北大核心 2020年第9期1048-1055,共8页 Journal of Beijing University of Technology
基金 住房和城乡建设部科学技术计划资助项目(k22016014) 市属高校基本科研业务费资助项目(X18100)。
关键词 城市交通 自行车 微观仿真 社会力模型 颗粒离散元理论 生理感知空间 边界折减系数 urban traffic bicycle micro-simulation social force model discrete element method physiological perception space boundary reduction factor
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