|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
2009年10 期
| 標(biāo)題 |
| 基于客流n日均量的地鐵客流量的時(shí)間序列分析(31 卷) |
| 英文標(biāo)題 |
| Time-series Analysis for Metro Passenger Flow Based on N Days Average Volume |
| 摘要 |
| 以上海城市軌道交通系統(tǒng)日客流總量為研究對象，構(gòu)造客流n日均量作為時(shí)間序列數(shù)據(jù)，使用日客流量與客流7日均量的相對變化率進(jìn)行平時(shí)客流特征分析。以此為基礎(chǔ)，建立ARIMA預(yù)測模型。通過客流7日均量分別進(jìn)行系統(tǒng)日客流量的迭代預(yù)測和遞推預(yù)測。實(shí)證檢驗(yàn)，遞推方法的相對誤差基 |
| 作者 |
| 新聞作者:郝 勇，朱海燕 |
| 關(guān)鍵字 |
