[1] CAO Yuan, WANG Zheng-chao, LIU Feng, et al. Bio-inspired speed curve optimization and sliding mode tracking control for subway trains[J]. IEEE Transactions on Vehicular Technology, 2019, 68(7): 6331-6342.
[2] CAO Yuan, SUN Yong-kui, XIE Guo, et al. Fault diagnosis of train plug door based on a hybrid criterion for IMFs selection and fractional wavelet package energy entropy[J]. IEEE Transactions on Vehicular Technology, 2019, 68(8): 7544-7551.
[3] SU Shuai, WANG Xue-kai, CAO Yuan, et al. An energy-efficient train operation approach by integrating the metro timetabling and eco-driving[J]. IEEE Transactions on Intelligent Transportation Systems, 2019, 20: 1-17.
[4] ZHANG Yu-zhuo, CAO Yuan, WEN Ying-hong, et al. Optimization of information interaction protocols in cooperative vehicle-infrastructure systems[J]. Chinese Journal of Electronics, 2018, 27(2): 439-444.
[5] CAO Yuan, MA Lian-chuan, XIAO Shuo, et al. Standard
analysis for transfer delay in CTCS-3[J]. Chinese Journal of Electronics, 2017, 26(5): 1057-1063.
[6] CAO Yuan, LI Peng, ZHANG Yu-zhuo. Parallel processing algorithm for railway signal fault diagnosis data based on cloud computing[J]. Future Generation Computer Systems, 2018(88): 279-283.
[7] HALTUF M. Shift2Rail JU from member state's point of view[J]. Transportation Research Procedia, 2016, 14: 1819-1828.
[8] WANG Yu-jian, SONG Yong-duan, GAO Hui, et al.
Distributed fault-tolerant control of virtually and physically interconnected systems with application to high-speed trains under traction/braking failures[J]. IEEE Transactions on Intelligent Transportation Systems, 2016, 17(2): 535-545.
[9] FELEZ J, KIM Y J, BORRELLI F. A model predictive control approach for virtual coupling in railways[J]. IEEE Transactions on Intelligent Transportation Systems, 2019, 20(7): 2728-2739.
[10] SCHUMANN T. Increase of capacity on the Shinkansen
high-speed line using virtual coupling[J]. International Journal of Transport Development and Integration, 2017, 1(4): 666-676.
[11] 荀 径,陈明亮,宁 滨,等.虚拟重联条件下地铁列车追踪运行性能衡量[J].北京交通大学学报,2019,43(1):96-103.
XUN Jing, CHEN Ming-liang, NING Bin, et al. Train tracking performance measurement under virtual coupling in subway[J]. Journal of Beijing Jiaotong University, 2019, 43(1): 96-103.(in Chinese)
[12] 刘 鹏.客流自适应地铁运营调度策略研究[D].成都:西南交通大学,2015.
LIU Peng. Research on the traffic self-adaptive of subway operation dispatch strategy[D]. Chengdu: Southwest Jiaotong University, 2015.(in Chinese)
[13] VAZIFEH M M, SANTI P, RESTA G, et al. Addressing
the minimum fleet problem in on-demand urban mobility[J]. Nature, 2018, 557(7706): 534-538.
[14] SONE S. Comparison of the technologies of the Japanese
Shinkansen and Chinese High-speed Railways[J]. Journal of Zhejiang University: Science A, 2015, 16(10): 769-780.
[15] GHOSEIRI K, SZIDAROVSZKY F, ASGHARPOUR M J. A multi-objective train scheduling model and solution [J]. Transportation Research Part B: Methodological, 2004, 38(10): 927-952.
[16] ARIANO A, PACCIARELLI D, PRANZO M. A branch and bound algorithm for scheduling trains in a railway network[J]. European Journal of Operational Research, 2007, 183(2): 643-657.
[17] ESPINOSA-ARANDA J L, GARCÍA-RÓDENAS R. A demand-based weighted train delay approach for rescheduling railway networks in real time[J]. Journal of Rail Transport Planning and Management, 2013, 3(1/2): 1-13.
[18] QUAGLIETTA E, CCRMAN F, GOVERDE R M P. Stability analysis of railway dispatching plans in a stochastic and dynamic environment[J]. Journal of Rail Transport Planning and Management, 2013, 3(4): 137-149.
[19] SALIM V, CAI Xiao-qiang. A genetic algorithm for railway scheduling with environmental considerations[J]. Environmental Modelling and Software, 1997, 12(4): 301-309.
[20] CAPRARA A, MONACI M, TOTH P, et al. A Lagrangian heuristic algorithm for a real-world train timetabling problem[J]. Discrete Applied Mathematics, 2006, 154(5): 738-753.
[21] ZOU You, XIE Jia-rong, WANG Bing-hong. Evacuation of pedestrians with two motion modes for panic system[J]. PloS One, 2016, 11(4): 1-13.
[22] GOU Ren-yong. New insights into discretization effects in
cellular automata models for pedestrian evacuation[J]. Physica A: Statistical Mechanics and Its Applications, 2014, 400: 1-11.
[23] QIU Guo, SONG Rui, HE Shi-wei, et al. The pedestrian
flow characteristics of Y-shaped channel[J]. Physica A: Statistical Mechanics and Its Applications, 2018, 508: 199-212.
[24] SONG Xiao, XIE Hong-nan, SUN Jiang-han, et al. Simulation of pedestrian rotation dynamics near crowded exits[J]. IEEE Transactions on Intelligent Transportation Systems, 2019, 20(8): 3142-3155.
[25] MITCHELL I. ERTMS level 4, train convoys or virtual
coupling[J]. IRSE News, 2016, 219: 14-15.
[26] CAO Yuan, ZHANG Yu-zhuo, WEN Tao, et al. Research on dynamic nonlinear input prediction of fault diagnosis based on fractional differential operator equation in high-speed train control system[J]. Chaos, 2019, 29(1): 013130-1-7.
[27] QIAN Hua, LI Yu-guo, NIESEN P V, et al. Spatial
distribution of infection risk of SARS transmission in a hospital ward[J]. Building and Environment, 2009, 44(8): 1651-1658.
[28] BENTHAM R, WHILEY H. Quantitative microbial risk
assessment and opportunist waterborne infections-are there too many gaps to fill?[J]. International Journal of Environmental Research and Public Health, 2018, 15(6): 1-11.
[29] 钱 华,郑晓红,张学军.呼吸道传染病空气传播的感染概率的预测模型[J].东南大学学报(自然科学版),2012,42( 3):468-472.
QIAN Hua, ZHENG Xiao-hong, ZHANG Xue-jun. Prediction of risk of airborne transmitted diseases[J]. Journal of Southeast University(Natural Science Edition), 2012, 42(3): 468-472.(in Chinese)
[30] 孟 琦.基于社会力的车站交叉行人流特性分析及疏散研究[D].北京:北京交通大学,2019.
MENG Qi. Intersecting pedestrian flows characteristics analysis and evacuation in stations based on social force[D]. Beijing: Beijing Jiaotong University, 2019.(in Chinese)