Simulation of Comfort Algorithm for Automatic Driving of Urban Rail Train

[1] K. I. Yurenko and E. I. Fandeev. Classification systems of automatic train driving with positions of the modern automatic control theory [C]. 2017 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM), St. Petersburg, 2017, pp.1–6. YurenkoK. I. FandeevE. I. Classification systems of automatic train driving with positions of the modern automatic control theory [C]. 2017 International Conference on Industrial Engineering, Applications and Manufacturing (ICIEAM) St. Petersburg 2017 1 6 Search in Google Scholar

[2] M. D. Claudio, A. Fantechi, G. Martelli, S. Menabeni and P. Nesi. Model-based development of an Automatic Train Operation component for Communication Based Train Control [C]. 2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC), Qingdao. China, 2014, pp.1015–1020. ClaudioM. D. FantechiA. MartelliG. MenabeniS. NesiP. Model-based development of an Automatic Train Operation component for Communication Based Train Control [C]. 2014 IEEE 17th International Conference on Intelligent Transportation Systems (ITSC) Qingdao. China 2014 1015 1020 Search in Google Scholar

[3] P. Caramia, G. Lauro, M. Pagano and P. Natale. Automatic train operation systems: A survey on algorithm and performance index [C]. 2017 AEIT International Annual Conference, Cagliari, 2017, pp.1–6. CaramiaP. LauroG. PaganoM. NataleP. Automatic train operation systems: A survey on algorithm and performance index [C]. 2017 AEIT International Annual Conference Cagliari 2017 1 6 Search in Google Scholar

[4] R. Gyo, J. B. Hyun, K. S. Won, K. Seo. Improvement of Overspeed Protection for Automatic Train Stop System J. The Transactions of the Korean Institute of Electrical Engineers2018(67):61–67. GyoR. HyunJ. B. WonK. S. SeoK. Improvement of Overspeed Protection for Automatic Train Stop System J. The Transactions of the Korean Institute of Electrical Engineers 2018 67 61 67 Search in Google Scholar

[5] B. J. Hyen and K. Y. Kyu. The study of tilting train installation for ATP (Automatic TrainProtection) on-board equipment [C], ICCAS 2010, Gyeonggi-do, 2010, pp.723–727. HyenB. J. KyuK. Y. The study of tilting train installation for ATP (Automatic TrainProtection) on-board equipment [C], ICCAS 2010 Gyeonggi-do 2010 723 727 Search in Google Scholar

[6] S. Oh, Y. Yoon, Y. Kim, et al. Design of ATP functions and communication interface specifications for Korean Radio-based Train Control System [C], International Conference on Control, Gwangju, 2013, pp.1330–1333. OhS. YoonY. KimY. Design of ATP functions and communication interface specifications for Korean Radio-based Train Control System [C], International Conference on Control Gwangju 2013 1330 1333 Search in Google Scholar

[7] R. D. Utomo and L. Chen. A Relay-Feedback Autotuning PD Controller for Automatic TrainOperation System [C]. 2018 International Conference on Intelligent Rail Transportation (ICIRT), Singapore, 2018, pp.1–5. UtomoR. D. ChenL. A Relay-Feedback Autotuning PD Controller for Automatic TrainOperation System [C]. 2018 International Conference on Intelligent Rail Transportation (ICIRT) Singapore 2018 1 5 Search in Google Scholar

[8] Tang Tao, HUANG Liangji. Review of Automatic Train Control System Control Algorithm [J]. Railway Journal of Science and Technology, 2003, 25 (2):98–102. TangTao HUANGLiangji Review of Automatic Train Control System Control Algorithm [J] Railway Journal of Science and Technology 2003 25 2 98 102 Search in Google Scholar

[9] Wang Wanbao, PENG Songqi, Wang Zhipeng, et al. Beijing subway ride comfort management letter Design and Implementation of information system [J]. Railway Computer Application, 2019, 28 (12):58–61. WangWanbao PENGSongqi WangZhipeng Beijing subway ride comfort management letter Design and Implementation of information system [J] Railway Computer Application 2019 28 12 58 61 Search in Google Scholar

[10] Zhang Binsheng. Factors Affecting the Comfort of Train ATO Operation and case Analysis [J]. Technology & Marketing, 2013, 20 (6):93, 95. ZhangBinsheng Factors Affecting the Comfort of Train ATO Operation and case Analysis [J] Technology & Marketing 2013 20 6 93 95 Search in Google Scholar

[11] Xiao Zengbin, Mu Wenqi, Wang Liaying. In the new period, China's high-speed rail technology innovation and development need Discussion on the Key Tasks of Seeking and Solving [J]. China Railway, 2017 (12):40–44. XiaoZengbin MuWenqi WangLiaying In the new period, China's high-speed rail technology innovation and development need Discussion on the Key Tasks of Seeking and Solving [J] China Railway 2017 12 40 44 Search in Google Scholar

[12] Wang Hongpo, Yin Liming, She Longhua. Using PLC to collect running data to identify the train Dynamic Model [J]. Computer Measurement & Control, 2003 (3):230–232, 235. WangHongpo YinLiming SheLonghua Using PLC to collect running data to identify the train Dynamic Model [J] Computer Measurement & Control 2003 3 230 232 235 Search in Google Scholar

[13] LIU S. Study on evaluation of train ride comfort standard based on genetic neural network [D]. Nanjing: Nanjing University of Science and Technology, 2012. LIUS Study on evaluation of train ride comfort standard based on genetic neural network [D] Nanjing Nanjing University of Science and Technology 2012 Search in Google Scholar

[14] Chen C. Measurement of urban rail transit operating comfort based on UIC513 standard [D]. Chengdu: Southwest Jiaotong University, 2016. ChenC Measurement of urban rail transit operating comfort based on UIC513 standard [D] Chengdu Southwest Jiaotong University 2016 Search in Google Scholar

[15] Chen Ligong, NI Chunzhen, Zhang Yue, et al. Passenger train vibration was evaluated according to UIC513 standard Dynamic Comfort [J]. China Railway, 2001 (4):60–62. ChenLigong NIChunzhen ZhangYue Passenger train vibration was evaluated according to UIC513 standard Dynamic Comfort [J] China Railway 2001 4 60 62 Search in Google Scholar

[16] SHI H S, XU X M, GUO H M, et al. Based on passenger comfort requirements Environmental technical conditions inside high-speed EMus [J]. China Railway Science, 2015, (2):115–123.36 (3):100–112. SHIH S XUX M GUOH M Based on passenger comfort requirements Environmental technical conditions inside high-speed EMus [J] China Railway Science 2015 2 115 123 36 3 100 112 Search in Google Scholar

[17] MA Siqun, Wang Meng, Wang Xiaojie, et al. Smoothness and ride comfort of high-speed trains Test and Evaluation [J]. Journal of Dalian Jiaotong University, 2015, 36 (S1):66–68. Calculation and design of train operation [M]. Beijing: People's Communications Press, 2008:72–79. MASiqun WangMeng WangXiaojie Smoothness and ride comfort of high-speed trains Test and Evaluation [J] Journal of Dalian Jiaotong University 2015 36 S1 66 68 Calculation and design of train operation [M]. Beijing: People's Communications Press, 2008:72–79. Search in Google Scholar

[18] Li Bo. Design and implementation of comfort measurement system for high-speed railway automatic driving system [J]. China Railway, 2018 (10):7–13. LiBo Design and implementation of comfort measurement system for high-speed railway automatic driving system [J] China Railway 2018 10 7 13 Search in Google Scholar

[19] ZHANG Youbing, Chen Zhiqiang, WANG Jianmin, et al. The high-speed railway ATO system is comfortable to control the car Research on Degree Technology [J]. Journal of Railway Engineering, 2019, 36 (3):67–71. ZHANGYoubing ChenZhiqiang WANGJianmin The high-speed railway ATO system is comfortable to control the car Research on Degree Technology [J] Journal of Railway Engineering 2019 36 3 67 71 Search in Google Scholar

[20] Li Guolin. Research and Optimization Design of PID Controller Parameters Tuning Technology [D]. Dalian: Dalian University of Technology, 2010. LiGuolin Research and Optimization Design of PID Controller Parameters Tuning Technology [D] Dalian Dalian University of Technology 2010 Search in Google Scholar

[21] MENG Jianjun, PEI Minggao, WU Fu, et al. Multi-objective optimization control algorithm for urban rail train Journal of System Simulation, 2017, 29 (3):581–588, (in Chinese)594. MENGJianjun PEIMinggao WUFu Multi-objective optimization control algorithm for urban rail train Journal of System Simulation 2017 29 3 581 588 (in Chinese)594. Search in Google Scholar