期刊文献+

基于贝叶斯推理的HCM延误模型修正 被引量:2

Revision of HCM Delay Model Based on Bayesian Inference
下载PDF
导出
摘要 针对以1个周期时长为分析单位、使用HCM2000延误模型推导信号控制交叉口延误的问题,提出推导模型中参数修正的方法,用t检验验证参数提取的精度。对延误提取模型中的饱和度、启动损失时间及交叉口几何修正系数等参数进行分析,采用贝叶斯定理和马尔科夫链蒙特卡罗模拟方法对参数进行修正。结果证明该方法可以提高按照周期提取延误参数的精度。 This paper validates the HCM2000 delay model at the normal traffic condition using 1 cycle as the duration analysis period.The precision of the HCM 2000 delay model is tested using the t-test method.The saturation,geometry parameter and the start-up loss time parameters in the model are analyzed.Bayesian inference and Markov Chain Monte Carlo(MCMC) simulation are used to revise the models parameters.The method can improve the model's precision when using 1 cycle as the duration of analysis period.
出处 《计算机工程》 CAS CSCD 北大核心 2011年第7期18-20,共3页 Computer Engineering
基金 国家"863"计划基金资助项目(2007AA11Z221) 国家自然科学基金资助项目(50808021)
关键词 交通控制 延误参数 HCM2000延误模型 贝叶斯推理 马尔科夫链蒙特卡罗模拟 traffic control delay parameter HCM2000 delay model Bayesian inference Markov Chain Monte Carlo(MCMC) simulation
  • 相关文献

参考文献7

  • 1全永粲.城市交通控制[M].北京:人民交通出版社,1989,3. 被引量:14
  • 2National Research Council.Transportation Research Board.Highway Capacity Manual[Z].2000. 被引量:1
  • 3刘广萍,裴玉龙.信号控制下交叉口延误计算方法研究[J].中国公路学报,2005,18(1):104-108. 被引量:52
  • 4杨佩昆,吴兵编著..交通管理与控制[M].北京:人民交通出版社,2003:211.
  • 5朱嵩,毛根海,程伟平,黄跃飞,徐翘.基于贝叶斯推理的水环境系统参数识别[J].江苏大学学报(自然科学版),2007,28(3):237-240. 被引量:15
  • 6Gelfand A E,Smith A F M.Sampling-based Approaches to Calculating Marginal Densities[J].Journal of the American Statistical Association,1990,85(410):398-409. 被引量:1
  • 7Metropolis N,Rosenbluth A W,Rosenbluth M N,et al.Equations of State Calculations by Fast Computing Machine[J].Journal of Chemistry and Physics,1953,21(6):1087-1091. 被引量:1

二级参考文献9

  • 1王薇,曾光明,何理.用模拟退火算法估计水质模型参数[J].水利学报,2004,35(6):61-67. 被引量:20
  • 2薛齐文,杨海天,胡国俊.共轭梯度法求解多宗量瞬态热传导反问题[J].计算物理,2005,22(1):56-60. 被引量:12
  • 3全永燊.城市交通控制[M].北京:人民交通出版社,1989.55-129. 被引量:65
  • 4CHANG Tand-hsien, LIN Jen-ting. Optimal signal timing for an oversaturated intersection[J]. Transportation Research,Part B,2000,34(6):471-491. 被引量:1
  • 5Emmanuel K N,Rudolf S.Solving the parameter identification problem of mathematical models using genetic algorithms[J].Applied Mathematics and Computation,2004,153:651-658. 被引量:1
  • 6Thomas L,John S J H.Bayesian Methods:An Analysis for Statistician and Interdisciplinary Researchers[M].北京:机械工业出版社,2005:189. 被引量:1
  • 7Gelman A,Carlin J B,Stern H S,et al.Bayesian Data Analysis[M].London:Chapmen and Hall,1995. 被引量:1
  • 8Gelfand A E,Smith A F M.Sampling-based approaches to calculating marginal densities[J].Journal of the American Statistical Association,1990,85:398-409. 被引量:1
  • 9Metropolis N,Rosenbluth A W,Rosenbluth M N,et al.Equations of state calculations by fast computing machine[J].Journal of Chemistry and Physics,1953,21:1087-1091. 被引量:1

共引文献78

同被引文献13

  • 1王虹,张文修.形式概念分析与粗糙集的比较研究[J].计算机工程,2006,32(8):42-44. 被引量:15
  • 2WILLE R. Restructuring lattice theory: an approach based on hierarchies of concept [ M ]//Ordered Sets, Reidel, Dor- drecht. Boston, USA, 1982: 445-470. 被引量:1
  • 3ZHANG H Y, ZHOU J, MIAO D Q, et al. Bayesian rough set model : a further investigation [ J ]. International Journal of Approximate Reasoning, 2012, 53(4): 541-557. 被引量:1
  • 4YAO J T , YAO Y Y. Probabilistic rough sets: approxima- tions, decision-makings and applications [ J ]. International Journal of Approximate Reasoning, 2008, 49(3) : 253-254. 被引量:1
  • 5PAWLAK Z. A rough set view on Bayes' theorem [ J]. In- ternational Journal of Intelligent Systems, 2003, 18 ( 5 ) : 487-498. 被引量:1
  • 6SLEZAK D, ZIARKO W. Variable precision Bayesian rough set model[ J]. [ S.l. ] : Springer-Verlag, 2003: 312-315. 被引量:1
  • 7PAWLAK Z. New look on Bayes' theorem-the rough set outlook[J]. Rough Set Society, 2001, 5: 20-22. 被引量:1
  • 8SLEZAK D, ZIARKO W. Bayesian rough set model [ C ]// International Workshop on Foundation of Data Mining. [ S. l.], 2002, 9: 131-135. 被引量:1
  • 9YAO Y Y. Probabilistic rough set approximations [ J ]. In- ternational Journal of Approximate Reasoning, 2008, 49 (2) : 255-271. 被引量:1
  • 10Nilsson. Artificial intelligence a new synthesis [ M ].北京:机械工业出版社,1999. 被引量:1

引证文献2

二级引证文献6

相关作者

内容加载中请稍等...

相关机构

内容加载中请稍等...

相关主题

内容加载中请稍等...

浏览历史

内容加载中请稍等...
;
使用帮助 返回顶部