DOI: 10.11908/j.issn.0253-374x.2018.12.007

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作者单位: 同济大学,同济大学


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中图分类号: U491.2


基金项目: 国家自然科学基金重点项目 (项目编号：51238008)




An Experimental Method for Reproducing Traffic Flow Based on Reality and VirtualInteraction
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摘要:面向连续与间断交通流实验系统框架，利用现实交通流的观测数据，在实验框架的虚拟环境中建立交通流的非参数模型，通过虚拟框架的贝叶斯学习再现与现实等价的实验交通流.选取更为复杂的信号控制交通流场景对该实验方法进行验证.结果表明,该方法在一定精度内可以近似再现信号控制交通流.



Abstract:With the development and application of information technology, it is becoming a new research direction to analyze complex traffic flow based on experimental methods. One of the basic problems is the reproduction of the actual traffic flow in the experiment. Based on the framework of a traffic flow experimental system, this paper proposes an experimental method to reproduce the real traffic flow in virtual environment by giving the observation data of traffic flow in real environment whose system framework includes the nonparametric model of traffic flow and the Bayesian learning algorithm. Subsequently, the experimental method was numerically verified in the scene of traffic flow on signal control. The results show that the method proposed could realize the approximate dynamic traffic flow on signal control in virtual environment.





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