Late feature analysis of high-speed train operation

doi:10.16265/j.cnki.issn1003-3033.2018.S2.017

Abstract

Abstract: In order to improve its on-time rate and reduce the security threats the high-speed train lateness poses,the lateness regularity of high-speed trains was explored. Based on the train operation data of four dispatching stations along the high-speed railway in a certain region of China, the frequency of its late indicators was analyzed,such as late level, late time distribution and increase-late distribution. Statistical methods-Pearson correlation coefficient and R language programming tool wereappliedto explore the correlation of its late index, and obtain the late characteristics and regularity of the high-speed train. The results show that the above method can be applied to obtainingthe late regularity of high-speed railway so as toreduce its lateness rate and safety hazards in actual traffic control work.

Key words: high-speed railway, train punctuality rate, performance data, Pearson correlation coefficient, late regular

CLC Number:

X951

MENG Ziyue, ZUO Zhongyi, YIN Panpan, ZHAO Tianyu, GUO Runhang. Late feature analysis of high-speed train operation[J]. China Safety Science Journal, 2018, 28(S2): 93-98.

References

[1] 中华人民共和国交通运输部.铁道统计公报[Z].2016-03-03.
[2] 彭其渊,李建光,杨宇翔,等.高速铁路建设对我国铁路运输的影响[J].西南交通大学学报,2016,51(3):525-533.
PENG Qiyuan,LI Jianguang,YANG Yuxiang,et al.The influence of high-speed railway construction on railway transportation in China[J]. Journal of Southwest Jiaotong University, 2016,51(3):525-533.
[3] XU P,CORMAN F,PENG Q. Analyzing railway disruptions and their impact on delayed traffic in Chinese high-speed railway[J].IFAC-Papers On Line,2016,49(3):84-89.
[4] BRIGGS K,BECK C. Modelling train delays with q-exponential functions[J].Physica A: Statistical Mechanics and its Applications,2006, 378(2):498-504.
[5] 欧阳秋梅,吴超,黄浪.大数据应用于安全科学领域的基础原理研究[J].中国安全科学学报, 2016,26(11):13-18.
OUYANG Qiumei,WU Chao,HUANG Lang.Research on basic principles in the field of security science applying big data[J]. China Safety Science Journal, 2016,26(11):13-18.
[6] 王军,张星臣,张懿,等.基于监控数据挖掘的运行图参数查定与修正方法[J].中国铁道科学,2011,32(4):117-121.
WANG Jun,ZHANG Xingchen,ZHANG Yi,et al.A method of checking and correcting the parameters of the operation diagram based on monitoring data mining[J].China Railway Science,2011,32(4):117-121.
[7] 孟令云,ROB M P G.基于实际数据分析的列车晚点传播过程构建方法与实例[J].北京交通大学学报, 2012, 36(6):15-20.
MENG Lingyun, ROB M P G.Method and example of train delay propagation process construction based on actual data analysis[J].Journal of Beijing Jiaotong University, 2012, 36(6):15-20.
[8] 杨霞,吴东伟.R语言在大数据处理中的应用[J].科技资讯, 2013,8(23):19-20.
YANG Xia,WU Dongwei.Application of R language in big data processing[J].Science and Technology Information, 2013,8(23):19-20.
[9] 庄河,文超,李忠灿,等.基于高速列车运行实绩的致因-初始晚点时长分布模型[J].铁道学报,2017, 39(9):25-31.
ZHUANG He,WEN Chao,LI Zhongcan,et al.A cause-initial delay time distribution model based on the actual performance of high-speed railway operation[J].Journal of the China Railway Society, 2017, 39(9):25-31.
[10] 彭海.皮尔逊相关系数应用于医学信号相关度测量[J].电子世界,2017(7):163.
PENG Hai.Person correlation coefficient applied to medical signal correlation measurement[J].The Electronic World,2017(7):163.
[11] 杨帆,冯翔,阮羚,等.基于皮尔逊相关系数法的水树枝与超低频介损的相关性研究[J].高压电器,2014,50(6):21-31.
YANG Fan,FENG Xiang,RUAN Ling,et al. Research on the correlation between water branch and ultra-low frequency dielectric loss based on Person correlation coefficient[J].High Voltage Apparatus,2014,50(6):21-31.

[1]	WU Haitao, LI Shuangxi. High-speed railway emergency dispatching safety analysis based on STAMP/STPA [J]. China Safety Science Journal, 2021, 31(6): 113-120.
[2]	JIA Fei, MENG Xuelei, JIA Baotong, LI Tao, ZHANG Yang. Research on passenger flow assignment for high-speed railwayunder public health emergencies [J]. China Safety Science Journal, 2021, 31(6): 153-160.
[3]	REN Yumou, ZHANG Qi, YUAN Zhiming, SUN Yanhao. Research on optimization for utilization of arrival and departure tracks at high-speed railway station under condition of safety constraints [J]. China Safety Science Journal, 2021, 31(1): 179-185.
[4]	ZHANG Chaorong. Discussion on legislation of UAV safety management along high-speed railway [J]. China Safety Science Journal, 2020, 30(S1): 38-42.
[5]	LONG Shidan. Application of automatic operation system for high-speed railway [J]. China Safety Science Journal, 2020, 30(S1): 92-97.
[6]	YANG Xiaoli, LIU Xiangdong. Discussion on problems existing in completion acceptance of high-speed railway project [J]. China Safety Science Journal, 2020, 30(S1): 146-151.
[7]	LI Na, ZHANG Yan, HUA Yudong, ZHANG Peihong. Impact of external wind field on spread of luggage fire in high-speed rail carriage [J]. China Safety Science Journal, 2020, 30(12): 141-147.
[8]	ZHONG Qingwei, ZHANG Yongxiang, WEN Chao, PENG Qiyuan, WANG Mengmeng. Optimized decomposition algorithm for train-set scheduling of high-speed railway network [J]. China Safety Science Journal, 2019, 29(S2): 10-17.
[9]	LI Li, YAN Di, TIAN Rui, WANG Quanquan. Train dispatching quality evaluation based on train delay recovery in high-speed railway [J]. China Safety Science Journal, 2019, 29(S2): 118-125.
[10]	SONG Yuxin. Safety evaluation system for high-speed passenger railway station based on GUI [J]. China Safety Science Journal, 2019, 29(S2): 134-137.
[11]	LI Chengrui, ZHAO Ming, YIN Panpan, LIU Meichi, MA Letao. Safety evaluation of high-speed railway passenger station [J]. China Safety Science Journal, 2019, 29(S2): 149-153.
[12]	HU Rui, XU Chuanling, FENG Yongtai, WEN Chao, WANG Quanquan. Prediction of different types of train delay of Guangzhou-Shenzhen high-speed railway [J]. China Safety Science Journal, 2019, 29(S2): 181-186.
[13]	LIU Wenbin, LI Congxu, WEI Xiaojuan, XIONG Weiping, WANG Hu. Application of GIS technology in intelligent decision for railway emergency rescue [J]. China Safety Science Journal, 2019, 29(S2): 195-200.
[14]	HUANG Ping, WEN Chao, LI Zhongcan, YANG Yuxiang, PENG Qiyuan. A neural network model for real-time prediction of high-speed railway delays [J]. China Safety Science Journal, 2019, 29(S1): 20-26.
[15]	HUA Lingling, ZHENG Wei. Research on causation of railway accidents based on complex network theory [J]. China Safety Science Journal, 2019, 29(S1): 114-119.