期刊文献+

基于M/M/1/K模型的车道占用对道路通行能力影响的分析与预测 被引量:6

Analysis and Prediction Based on M/M/1/K Model about the Impact of Occupied Lanes on Urban Road Capacity
原文传递
导出
摘要 依据一段实时路况监控视频,采用T型交叉平面口模型对事故所处横断面的实际通行能力进行建模.运用排队论的M/M/1/K模型对交通事故所影响路段的车辆排队长度与事故横断面实际通行能力、事故持续时间、路段上游车流量之间的关系进行建模,利用MATLAB软件与微元法思想进一步拟合与改进,并用模型预测出新交通条件下车辆排队至上游路口的时间,说明模型的有效性. According to one real-time traffic surveillance video, a mathematical model, de~ scribing the actual traffic capacity of the accident cross section, is established by T-type plane intersection model. The difference of the impact of different occupied lanes on actual traffic capacity is quantitatively analyzed based on exponential smoothing and nonparametric test. Then M/M/1/K model in queuing theory is applied to modeling the relation between vehicle queue length of traffic road segment, actual traffic capacity of the accident cross section, traffic duration and upstream traffic volume. By virtue of MATLAB and infinitesimal method, the model is improved and used to predict the time when vehicle queue length reaches upstream intersection under new traffic conditions. This implies the validity of our model.
出处 《数学的实践与认识》 北大核心 2015年第2期225-231,共7页 Mathematics in Practice and Theory
基金 中央高校基本科研业务费[3122013C002] 中国民航大学校内基金(2011QD02S)
关键词 实际通行能力 M/M/1/K模型 MATLAB actual traffic capacity Model of M/M/l/K MATLAB
  • 相关文献

参考文献4

  • 12013全国大学生数学建模竞赛赛题,http://special.univs.cn/service/jianmo/sxjmtmhb/2013/0525/969401.shtml.
  • 2通行能力,http://www.docin.com/p-64439531.html,2013.
  • 3北京市市政设计研究院.城市道路设计规范(CJJ37-90),1991:10.
  • 4胡运权,郭耀煌.运筹学教程(第三版),北京,清华大学出版社,2006:322-325.

同被引文献28

  • 1邵敏华,邵显智,孙立军.对城市道路通行能力定义方法的探讨[J].交通与计算机,2005,23(6):68-71. 被引量:10
  • 2李家杰,郑义.影响城市道路通行能力因素分析[J].城市道桥与防洪,2006(3):19-21. 被引量:23
  • 3陈望,陈兵旗.基于图像处理的公路车流量统计方法的研究[J].计算机工程与应用,2007,43(6):236-239. 被引量:6
  • 4任福田.道路通行能力手册[M].北京:中国建筑工业出版社,1991..
  • 5Kim T, Lovell D J, Paracha J. A new methodology to estimate capacity for freeway work zones [ C ]. Transportation Research Board Annual Meeting. Washington D C, Re- vised. 2001, 115 -119.
  • 6Khssibi S,Idoudi H,van den Bossche A,et al.Presentation and Analysis of a New Technology for Lowpower Wireless Sensor Network[J].International Journal of Digital Information and Wireless Communica-tions,2013,3(1):75-86.
  • 7Tan W L,Lau W C,Yue O C.Performance Analysis of an Adaptive,Energy-efficient MAC Protocol for Wireless Sensor Networks[J].Journal of Parallel and Distributed Computing,2012,72(4):504-514.
  • 8Yoon M,Kim Y K,Chang J W.An Energy-efficient Routing Protocol Using Message Success Rate in Wireless Sensor Networks[J].Journal of Convergence,2013,4(1):15-22.
  • 9Saha D,Yousuf M R,Matin M A.Energy Efficient Scheduling Algorithm for S-MAC Protocol in Wireless Sensor Network[J].International Journal of Wireless&Mobile Computing,2012,3(6):129-140.
  • 10Enz C C,El-Hoiydi A,Decotignie J D,et al.Wise NET:An Ultralow-power Wireless Sensor Network Solution[J].Computer,2004,37(8):62-70.

引证文献6

二级引证文献7

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