张蓉, 石建军, 任福田, 刘小明. 数理统计知识在交通仿真中的部分应用[J]. 北京工业大学学报, 2003, 29(4): 473-476.
    引用本文: 张蓉, 石建军, 任福田, 刘小明. 数理统计知识在交通仿真中的部分应用[J]. 北京工业大学学报, 2003, 29(4): 473-476.
    ZHANG Rong, SHI Jian-jun, REN Fu-tian, LIU Xiao-ming. Application of Mathematical Statistics to Traffic Simulation[J]. Journal of Beijing University of Technology, 2003, 29(4): 473-476.
    Citation: ZHANG Rong, SHI Jian-jun, REN Fu-tian, LIU Xiao-ming. Application of Mathematical Statistics to Traffic Simulation[J]. Journal of Beijing University of Technology, 2003, 29(4): 473-476.

    数理统计知识在交通仿真中的部分应用

    Application of Mathematical Statistics to Traffic Simulation

    • 摘要: 介绍了数理统计知识在交通仿真中的一些应用,即用数理统计方法去描述交通流的一些特性——车辆到达规律、交通组成和停车起动反应时间,具体调查了北京某路口的实际车流量并分析其统计分布规律,得出该路口车泫符合泊松分布;进一步阐述了如何针对描述不同交通特征的概率分布函数,产生相应的随机数及随机数在仿真中的应用;同时对2种均匀随机发生器产生均匀随机数进行了比较。结果表明,系数模积式发生器产生的随机数均匀性更好。

       

      Abstract: The mathematical statistics method is adopted to describe the characteristics of traffic flow: law of vehicle arrival, traffic composition and the response time of stop and start. A special signal intersection of Beijing is taken as an example for investigation, where the vehicle arrival and its distribution law are counted and analyzed. The investigated results show that the vehicle arrival at the intersection is consistent to poisson distribution. The authors also introduce how the stomchastic numbers are produced and how the numbers are applied in simulation, and moreover compare two randomizers. The results show that the random numbers generated from prime number modularity randomizer have better homogeneity.

       

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