China Safety Science Journal ›› 2022, Vol. 32 ›› Issue (6): 123-130.doi: 10.16265/j.cnki.issn1003-3033.2022.06.2634
• Safety engineering technology • Previous Articles Next Articles
Received:
2022-01-10
Revised:
2022-04-20
Online:
2022-06-28
Published:
2022-12-28
TANG Tao, GAN Jing. A train running time prediction model based on domestic and foreign railway operation data[J]. China Safety Science Journal, 2022, 32(6): 123-130.
Add to citation manager EndNote|Ris|BibTeX
URL: http://www.cssjj.com.cn/EN/10.16265/j.cnki.issn1003-3033.2022.06.2634
Tab.3
Predicted results of each model
线路 | 指标 | HGBT | RF | AB | GB | ANN | SVM |
---|---|---|---|---|---|---|---|
C | MAE | 0.764 | 0.771 | 1.145 | 0.793 | 0.907 | 1.238 |
MAPE/% | 5.59 | 5.62 | 8.69 | 5.81 | 6.72 | 8.77 | |
R2 | 0.912 | 0.902 | 0.864 | 0.908 | 0.893 | 0.812 | |
E | MAE | 0.356 | 0.371 | 0.392 | 0.376 | 0.402 | 0.756 |
MAPE/% | 7.54 | 7.78 | 7.90 | 8.18 | 8.94 | 19.42 | |
R2 | 0.876 | 0.869 | 0.862 | 0.872 | 0.868 | 0.766 |
[1] |
doi: 10.1016/j.ejor.2017.04.057 |
[2] |
何华武, 朱亮, 李平, 等. 智能高铁体系框架研究[J]. 中国铁路, 2019 (3): 1-8.
|
|
|
[3] |
胡瑞, 徐传玲, 冯永泰, 等. 广深高速铁路列车分类型晚点预测[J]. 中国安全科学学报, 2019, 29(增2): 181-186.
|
doi: 10.16265/j.cnki.issn1003-3033.2019.S2.030 |
|
[4] |
|
[5] |
doi: 10.1016/j.trc.2018.08.003 |
[6] |
胡雨欣, 彭其渊, 鲁工圆, 等. 基于初始晚点和冗余时间的列车晚点恢复时间预测模型[J]. 交通运输工程与信息学报, 2020, 18(2):93-102.
|
|
|
[7] |
龙时丹. 面向高速铁路的全自动运行系统应用[J]. 中国安全科学学报, 2020, 30(增1): 92-97.
|
doi: 10.16265/j.cnki.issn1003-3033.2020.S1.017 |
|
[8] |
doi: 10.1016/j.trc.2019.04.026 |
[9] |
孙延浩, 张琦, 任禹谋, 等. 基于改进灰色马尔科夫模型的列车晚点预测[J]. 计算机仿真, 2020, 37(6):117-121,135.
|
|
|
[10] |
胡瑞, 文超, 张梦颖, 等. 高速列车晚点预测的机器学习模型[J]. 中国铁路, 2020(11):72-77.
|
|
|
[11] |
张琦, 陈峰, 张涛, 等. 高速铁路列车连带晚点的智能预测及特征识别[J]. 自动化学报, 2019, 45(12): 2251-2259.
|
|
|
[12] |
廖璐, 陈峰, 葛晓程, 等. 基于GBDT的列车晚点时长预测模型研究[J]. 铁道标准设计, 2022, 65(8): 149-154,176.
|
|
|
[13] |
doi: 10.1002/atr.193 |
[14] |
doi: 10.1016/j.trc.2015.04.004 |
[15] |
doi: 10.1016/j.ssci.2019.104510 |
[16] |
|
[1] | GAO Yunji, LUO Yueyang, LI Zhisheng, ZHANG Yuchun, YU Yangyang, LI Tao. Experimental study on smoke back-layering length and temperature distribution in bifurcation tunnels [J]. China Safety Science Journal, 2022, 32(3): 109-115. |
[2] | WU Chengcheng, CHEN Dawei. Spatial prediction model for risk points of non-motor vehicle conflict in intersections [J]. China Safety Science Journal, 2021, 31(8): 165-171. |
[3] | LONG Nengzeng,YUAN Mei,WANG Guanliang,WANG Qinghui,XU Shiqing,LI Xinling. Research on early warning of coal and gas outburst microseismic-gas interactive response [J]. China Safety Science Journal, 2021, 31(4): 125-132. |
[4] | LIU Yuqing, ZHANG Peihong. Study on fire-induced smoke temperature distribution characteristics in largely inclined roadway [J]. China Safety Science Journal, 2021, 31(4): 156-162. |
[5] | LI Jing, WANG Zhen, QIN Yaru, WANG Zhen, LUO Jianghao. Study on influence of different noise intensity on operation error rate of mine workers [J]. China Safety Science Journal, 2021, 31(2): 179-184. |
[6] | LIU Yang, ZHANG Jianjing, LUO Hongsen, YU Haiying, XIANG Bo. Fuzzy-SVM prediction model of subgrade seismic damage based on Bayesian network [J]. China Safety Science Journal, 2021, 31(11): 171-178. |
[7] | TIAN Rui, MENG Haidong, CHEN Shijiang, WANG Chuangye, SHI Lei. Prediction model of rockburst intensity classification based on RF-AHP-Cloud model [J]. China Safety Science Journal, 2020, 30(7): 166-172. |
[8] | LI Zhonghui, MA Yunbo, ZHENG Anqi, HE Shun, WANG Fengzhi, ZHANG Xin. Research on outburst risk prediction and visualization of dangerous zone in driving work face [J]. China Safety Science Journal, 2020, 30(11): 53-59. |
[9] | GUO Jiahe, QI Xuyao, WANG Dong, ZHU Guoqing, CHEN Liangzhou. Influencing factors and depth prediction model of pre-mixed abrasive water jet cutting [J]. China Safety Science Journal, 2020, 30(1): 101-106. |
[10] | MA Yingnan, LYU Ziyang, GAO Xing, WANG Yongyi. Research on fall prediction method for elderly at home based on SVM [J]. China Safety Science Journal, 2019, 29(6): 43-48. |
[11] | BI Juan, LI Xijian, CHEN Liuyu. R-factor Fisher discrimination for rock burst hazard level prediction [J]. China Safety Science Journal, 2019, 29(12): 103-109. |
[12] | YIN Ying, LAN Chaoxun, LI Jun, MAO Dan, SHI Junlin. Numerical analysis of geological settlement failure of buried PE gas pipeline [J]. China Safety Science Journal, 2019, 29(10): 18-23. |
[13] | ZHU Ming, WANG Zhirong, GUO Wenjie, TONG Xuan. Research on model for elevator failure rate prediction and its application [J]. China Safety Science Journal, 2017, 27(9): 74-78. |
[14] | . Research on Coal Mine Gas Concentration Multi-sensor Prediction Model Based on Information Fusion and GA-SVM [J]. China Safety Science Journal, 2013, 23(9): 33-. |
[15] | . Experimental Study on Tire Pressure's Influence on Driving Stability Parameters [J]. China Safety Science Journal, 2013, 23(9): 64-. |
Viewed | ||||||
Full text |
|
|||||
Abstract |
|
|||||