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基于MT发生器的车辆生成模型构建与仿真 被引量:2

Construction and simulation of vehicle generation model based on MT random number generator
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摘要 针对交通流仿真技术中广泛使用的线性同余发生器在周期长度和随机性方面的不足,引入MT随机数发生器,通过性能评价验证其优越性,然后在空闲和拥挤两种交通状态下,基于MT发生器产生的随机数,应用不同的随机分布构建相应的随机发车模型。在VC环境下开发车辆生成程序进行仿真实验,将仿真数据与实测数据进行对比分析,结果表明,基于MT发生器的随机发车模型更好地逼近了实际交通状态。 Aiming at the disadvantage of linear congruential method widely used in traffic flow simulation, MT random number generator is adopted after performance comparison. The traffic conditions is divided into the idle state and the busy one, and different stochastic distributions are applied in stochastic vehicle generation models based on random numbers generated by MT random number generator. The traffic flow procedures are developed in VC environment to achieve sim-ulation experiment, then the results are compared with the field data, which proves the advantage of stochastic vehicle gen-eration models based on MT random number generator.
作者 虞治涵 方钰
出处 《计算机工程与应用》 CSCD 2014年第4期254-257,261,共5页 Computer Engineering and Applications
基金 国家自然科学基金(No.61003222)
关键词 交通流仿真 随机数发生器 车辆随机生成模型 随机分布 traffic flow simulation random number generator stochastic vehicle generation model stochastic distribution
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  • 1周光伟,杨晓光.城市道路交通微观仿真模型结构[J].中国公路学报,2001,14(z1):73-76. 被引量:16
  • 2经怀明,张立军.多车型车辆调度问题的建模与仿真[J].计算机仿真,2006,23(4):261-264. 被引量:23
  • 3Hui YU,Caihong SUN,Jian CHEN.SIMULATING THE SUPPLY DISRUPTION FOR THE COORDINATED SUPPLY CHAIN[J].Journal of Systems Science and Systems Engineering,2007,16(3):323-335. 被引量:4
  • 4Li J Q,Head K L.Sustainability provisions in the bus scheduling problem[J].Transportation Research Part D:Transport and Environment,2009(1):50-60.
  • 5Huisman D,Albert P M.A solution approach for dynamic vehicle and crew scheduling[J].European Journal of Operational Research,2006(2):453-471.
  • 6Biocksom K A,Kurtenbach J P,Kiemm D J.Development and evaluation of the Lake Macro-invertebrate Integrity Index(LMII)for New Jersey lakes and reservoirs[J].Environmental Monitoring and Assessment,2002:311-333.
  • 7Kliewer N,Mellouli T,Suhl L.A time-space network based exact optimization model for multi-depot bus scheduling[J].European Journal of Operational Research,2006(3):1616-1627.
  • 8Gao S,Chabini I.Optimal routing policy problems in stochastic time-dependent networks[J].Transportation Research Part B:Methodological,2006(2):93-122.
  • 9Garrido R A,Mahmassani H S.Forecasting freight transportation demand with the space-time multinomial probit model[J].Transportation Research Part B:Methodological,2002(5):403-418.
  • 10龚伏廷,涂爱萍,王建勇.小波神经网络在模拟电路故障诊断中的应用[J].计算机仿真,2011,28(2):228-231. 被引量:17

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