期刊文献+

短时交通流预测建模因素和建模策略 被引量:4

原文传递
导出
摘要 实时准确可靠的短时交通流预测是智能运输系统的基础。根据短时交通流预测建模的研究现状,探讨了影响短时交通流预测建模的七个方面要素,进而提出了短时交通流预测的"四阶段法"建模策略。对短时交通流预测建模的梳理有助于改进现有模型以及研发新的模型。
出处 《公路》 北大核心 2010年第4期130-133,共4页 Highway
  • 相关文献

参考文献14

  • 1王晓原,刘海红.基于投影寻踪自回归的短时交通流预测[J].系统工程,2006,24(3):20-24. 被引量:18
  • 2Chen H,Grant-Muller S. Use of sequential learning for short-term traffic flow forecasting[J]. Transportation Research Part C, 2001,9:319--336.
  • 3Ishak S, Al-Deek H. Performance of short-term time series traffic prediction model[J]. Journal of Transportation Engineering, 2002, 128 (6) : 490-- 498.
  • 4Florio L,Mussone L. Neural network models for classification and forecasting of freeway traffic flow stability[J]. Control Engineering Practice, 1996,4(2): 153--164.
  • 5Park D,Rilett L R. Forecasting multiple-period freeway link travel times using modular neural networks [J]. Transportation Research Record, 1998, 1617:163 -- 170.
  • 6Abdulhai B, Porwal H, Recker W. Short term Freeway Traffic Flow Prediction Using Genetically-optimized Time delay-based Neural Networks [R]. UCB- ITS-PWP 9 9 -- 1, Berkeley, CA, 1999.
  • 7Ledoux C. An urban traffic flow model integrating neural networks[J]. Transportation Research Part C, 1997,5(5) : 287--300.
  • 8Levin M , Tsao Y D. On forecasting freeway oecupancies and volumes[J]. Transportation Research Record, 1980,773:47--49.
  • 9Dougherty M S,Cobbet M R. Short-term inter urban traffic forecasts using neural networks [ J ] . International Journal of Forecasting, 1997,13 : 21 -- 31.
  • 10Lin W H, Lu Q, Dahlgren J. A dynamic procedure for short-term prediction of traffic congestion[C]// Proceedings of the 81st Transportation Research Record Annual Meeting, Washington, D. C. ,2002.

二级参考文献15

共引文献101

同被引文献18

引证文献4

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