跳到主要內容

臺灣博碩士論文加值系統

(18.97.14.81) 您好!臺灣時間:2024/12/15 03:39
字體大小: 字級放大   字級縮小   預設字形  
回查詢結果 :::

詳目顯示

我願授權國圖
: 
twitterline
研究生:陳昱甫
研究生(外文):Yu-Fu Chen
論文名稱:鐵路高風險駕駛行為與路段辨識模組開發
論文名稱(外文):Development of High-Risk Driving Behavior and Section Identification Modules for Railway System
指導教授:賴勇成賴勇成引用關係
指導教授(外文):Yung-Cheng Lai
口試委員:宋鴻康施文雄鍾志成孫千山
口試委員(外文):Hung-Kang SungWen-Hsiung ShihJyh-Cherng JongChian-Shan Suen
口試日期:2020-07-10
學位類別:碩士
校院名稱:國立臺灣大學
系所名稱:土木工程學研究所
學門:工程學門
學類:土木工程學類
論文種類:學術論文
論文出版年:2020
畢業學年度:108
語文別:英文
論文頁數:99
中文關鍵詞:鐵路運輸鐵路安全自動列車保護駕駛行為司機員評估路段評估風險指標
外文關鍵詞:Rail TransportationRailway SafetyAutomatic Train ProtectionDriving BehaviorDriver AssessmentSection AssessmentRisk Index
DOI:10.6342/NTU202001876
相關次數:
  • 被引用被引用:1
  • 點閱點閱:205
  • 評分評分:
  • 下載下載:0
  • 收藏至我的研究室書目清單書目收藏:0
普悠瑪事故發生後,鐵路安全的議題再次浮上檯面,其中風險評估對鐵路安全至關重要。本研究提出了一個自動化程序,讀取列車自動保護系統(Automatic Train Protection,ATP)之行車記錄以辨識六種高風險駕駛行為。所提出的模組不僅能應用於司機員安全表現評估,亦能針對高風險行為發生之路段進行分析。除此之外,更提出一高風險駕駛行為綜合風險指標,整合六種高風險行為表現以分析並比較不同司機員與路段之間的風險高低程度。在案例分析中,本研究利用實際的行車資料,分別對司機員與路段進行分析,結果顯示若以高風險駕駛行為而言,高達74%的總體風險來自於20%的司機員;又以路段而言,高達80%的總體風險來自於15%的高風險路段。本研究的模組成功的根據ATP行車記錄辨識高風險駕駛以及路段,可便於營運單位對症下藥,有效地提升鐵路系統安全性。
Risk assessment is an important process for railway safety. This research proposes an automatic process to access operational record from Automatic Train Protection (ATP) system, and identifies six high-risk driving behaviors. With the integrated risk index for driving behaviors (IRIDB), the proposed modules can successfully identify high-risk drivers and sections in the railway system. Empirical study demonstrates that 20% of high-risk drivers contribute to 74% of the total risk, while 15% of high-risk sections contribute to 80% of the total risk. The proposed modules identify the drivers and sections with high risk to enable the operators of railway systems to take countermeasures, thereby enabling them to efficiently improve the safety of railway systems.
口試委員審定書 i
致謝 ii
摘要 iii
ABSTRACT iv
TABLE OF CONTENT v
LIST OF FIGURES viii
LIST OF TABLES xi
CHAPTER 1 INTRODUCTION 1
1.1 Background 1
1.2 Research Objectives 4
1.3 Contribution Summary 4
1.4 Thesis Organization 5
CHAPTER 2 LITERATURE REVIEW 7
2.1 Safety and Performance of Railway Drivers 7
2.1.1 Human Factor Analysis 7
2.1.2 Accident Review 8
2.1.3 Driving Data Analysis 9
2.2 Railway Risk Evaluation 10
2.3 Summary of Literature Review 12
CHAPTER 3 METHODOLOGY 14
3.1 Introduction of ATP System in TRA 14
3.1.1 ATP System of TRA 14
3.1.2 Safety Concerns of ATP System in TRA 18
3.2 Procedure of High-risk driving behavior Analysis 19
3.3 Figure Transformation Module 22
3.4 Driving Record Data Categorization 24
3.5 High-risk driving behaviors Analysis Module 28
3.5.1 Deceleration after Target Indication 29
3.5.2 Approach Signal Overspeed 34
3.5.3 Switch Signal Overspeed 37
3.5.4 Operational Overspeed 40
3.5.5 ATP Service Brake 41
3.5.6 ATP Emergency Brake 43
3.6 Integrated Risk Index for Driving Behaviors (IRIDB) Evaluation Module 44
3.6.1 Normalization of High-risk Driving Behavior Indicators 45
3.6.2 Determination of Weightings 46
3.6.3 Evaluation of IRIDB 50
CHAPTER 4 CASE STUDY 51
4.1 Trainsets and Network of TRA 51
4.2 Analysis of High-Risk Driver 53
4.2.1 Deceleration After Target Indication 54
4.2.2 Approach Signal Overspeed 56
4.2.3 Switch Signal Overspeed 59
4.2.4 Operational Overspeed 62
4.2.5 ATP Service Brake 65
4.2.6 ATP Emergency Brake 66
4.2.7 IRIDB Evaluation 68
4.2.8 Summary of High-Risk Driving Behavior Analysis 71
4.3 Analysis of High-Risk Section 75
4.3.1 Deceleration After Target Indication 76
4.3.2 Approach Signal Overspeed 77
4.3.3 Switch signal Overspeed 78
4.3.4 Operational Overspeed 79
4.3.5 ATP Service Brake 80
4.3.6 ATP Emergency Brake 81
4.3.7 IRIDB Evaluation 82
4.3.8 Summary of High-Risk Section Analysis 83
4.4 Summary and Discussion 86
CHAPTER 5 CONCLUSION AND FUTURE WORK 88
5.1 Conclusion 88
5.2 Future Work 89
REFERENCE 91
Aven, T. (2008). A semi-quantitative approach to risk analysis, as an alternative to QRAs. Reliability Engineering & System Safety, 93(6), 790-797. doi:10.1016/j.ress.2007.03.025
Baysari, M. T., McIntosh, A. S., & Wilson, J. R. (2008). Understanding the human factors contribution to railway accidents and incidents in Australia. Accident Analysis & Prevention, 40(5), 1750-1757. doi:10.1016/j.aap.2008.06.013
Boehm, B. (1989). Software risk management. Paper presented at the ESEC '89, Berlin, Heidelberg.
Dorrian, J., Baulk, S. D., & Dawson, D. (2011). Work hours, workload, sleep and fatigue in Australian Rail Industry employees. Applied ergonomics, 42(2), 202-209. doi:10.1016/j.apergo.2010.06.009
Dorrian, J., Roach, G. D., Fletcher, A., & Dawson, D. (2007). Simulated train driving: fatigue, self-awareness and cognitive disengagement. Applied ergonomics, 38(2), 155-166. doi:10.1016/j.apergo.2006.03.006
El Rashidy, R., Hughes, P., Esteban, M. F., & Van Gulijk, C. (2018). Automated train driver competency performance indicators using real train driving data. Paper presented at the Annual European Safety and Reliability Conference.
European Committee for Electrotechnical Standardization (CENELEC). (1999). BS EN 50126:1999 Railway applications — The specification and demonstration of Reliability, Availability, Maintainability and Safety (RAMS) —. In. London: BSI.
Figueres-Esteban, M., Hughes, P., & Van Gulijk, C. (2016). Visual analytics for text-based railway incident reports. Safety science, 89, 72-76. doi:10.1016/j.ssci.2016.05.009
Forman, E. H. (1990). Random indices for incomplete pairwise comparison matrices. European Journal of Operational Research, 48(1), 153-155. doi:10.1016/0377-2217(90)90072-J
Gnoni, M. G., & Lettera, G. (2012). Near-miss management systems: A methodological comparison. Journal of Loss Prevention in the Process Industries, 25(3), 609-616. doi:10.1016/j.jlp.2012.01.005
Guo, M., Wei, W., Liao, G., & Chu, F. (2016). The impact of personality on driving safety among Chinese high-speed railway drivers. Accident Analysis & Prevention, 92, 9-14. doi:10.1016/j.aap.2016.03.014
Health and Safety Executive. (2004). Investigating accidents and incidents. A workbook for employers, unions, safety representatives and safety professionals. (HSG 245). Retrieved from https://www.hse.gov.uk/pubns/hsg245.pdf
Hickey, A. R., & Collins, M. D. (2017). Disinhibition and train driver performance. Safety science, 95, 104-115. doi:10.1016/j.ssci.2017.02.016
Independent Transport Safety and Reliability Regulator (ITSRR). (2005). Information paper: driver safety systems and automatic train protection. [Sydney, NSW]: ITSRR.
International Organization for Standardization (ISO). (2010). IEC/ISO 31010:2009 Risk management – risk assessment techniques. In. Brussels: CENELEC.
Jay, S. M., Dawson, D., Ferguson, S. A., & Lamond, N. (2008). Driver fatigue during extended rail operations. Applied ergonomics, 39(5), 623-629. doi:10.1016/j.apergo.2008.01.011
Jong, J.-C., Lai, Y.-C., Young, C.-C., & Chen, Y.-F. (2020). Application of Fault Tree Analysis and Swiss Cheese Model to the Overspeed Derailment of Puyuma Train in Yilan, Taiwan. Transportation Research Record: Journal of the Transportation Research Board, 2674(5), 33-46. doi:10.1177/0361198120914887
Kaeeni, S., Khalilian, M., & Mohammadzadeh, J. (2018). Derailment accident risk assessment based on ensemble classification method. Safety science, 110, 3-10. doi:10.1016/j.ssci.2017.11.006
Kaplan, S. (1990). On the inclusion of precursor and near miss events in quantitative risk assessments: A Bayesian point of view and a space shuttle example. Reliability Engineering & System Safety, 27(1), 103-115. doi:10.1016/0951-8320(90)90034-K
Kyriakidis, M., Majumdar, A., & Ochieng, W. Y. (2015). Data based framework to identify the most significant performance shaping factors in railway operations. Safety science, 78, 60-76. doi:10.1016/j.ssci.2015.04.010
Leitner, B. (2017). A General Model for Railway Systems Risk Assessment with the Use of Railway Accident Scenarios Analysis. Procedia Engineering, 187, 150-159. doi:10.1016/j.proeng.2017.04.361
Macciotta, R., Martin, C. D., Morgenstern, N. R., & Cruden, D. M. (2016). Quantitative risk assessment of slope hazards along a section of railway in the Canadian Cordillera—a methodology considering the uncertainty in the results. Landslides, 13(1), 115-127. doi:10.1007/s10346-014-0551-4
MacKenzie, C. A. (2014). Summarizing Risk Using Risk Measures and Risk Indices. Risk Analysis, 34(12), 2143-2162. doi:10.1111/risa.12220
McKinnon, R. C. (2012). Safety Management. Boca Raton: CRC Press.
McLeod, R. W., Walker, G. H., & Moray, N. (2005). Analysing and modelling train driver performance. Applied ergonomics, 36(6), 671-680. doi:10.1016/j.apergo.2005.05.006
Mirabadi, A., & Sharifian, S. (2010). Application of association rules in Iranian Railways (RAI) accident data analysis. Safety science, 48(10), 1427-1435. doi:10.1016/j.ssci.2010.06.006
Myrtek, M., Deutschmann-Janicke, E., Strohmaier, H., Zimmermann, W., Lawerenz, S., Brügner, G., & Müller, W. (1994). Physical, mental, emotional, and subjective workload components in train drivers. Ergonomics, 37(7), 1195-1203. doi:10.1080/00140139408964897
Naweed, A. (2013). Psychological factors for driver distraction and inattention in the Australian and New Zealand rail industry. Accident Analysis & Prevention, 60, 193-204. doi:10.1016/j.aap.2013.08.022
Naweed, A. (2014). Investigations into the skills of modern and traditional train driving. Applied ergonomics, 45(3), 462-470. doi:10.1016/j.apergo.2013.06.006
Ohlson, J. A., & Kim, S. (2015). Linear valuation without OLS: the Theil-Sen estimation approach. Review of Accounting Studies, 20(1), 395-435. doi:10.1007/s11142-014-9300-0
Pedregosa, F., Varoquaux, G., Gramfort, A., Michel, V., Thirion, B., Grisel, O., . . . Dubourg, V. J. t. J. o. m. L. r. (2011). Scikit-learn: Machine learning in Python. 12, 2825-2830.
Punzet, L., Pignata, S., & Rose, J. (2018). Error types and potential mitigation strategies in Signal Passed at Danger (SPAD) events in an Australian rail organisation. Safety science, 110, 89-99. doi:10.1016/j.ssci.2018.05.015
Rashidy, R. A. H. E., Hughes, P., Figueres-Esteban, M., Harrison, C., & Van Gulijk, C. (2018). A big data modeling approach with graph databases for SPAD risk. Safety science, 110, 75-79. doi:10.1016/j.ssci.2017.11.019
Raviv, G., Shapira, A., & Fishbain, B. (2017). AHP-based analysis of the risk potential of safety incidents: Case study of cranes in the construction industry. Safety science, 91, 298-309. doi:10.1016/j.ssci.2016.08.027
Reinach, S., & Viale, A. (2006). Application of a human error framework to conduct train accident/incident investigations. Accident Analysis & Prevention, 38(2), 396-406. doi:10.1016/j.aap.2005.10.013
Saaty, R. W. (1987). The analytic hierarchy process—what it is and how it is used. Mathematical Modelling, 9(3), 161-176. doi:10.1016/0270-0255(87)90473-8
Saaty, T. L. (1988). What is the Analytic Hierarchy Process?, Berlin, Heidelberg.
Saaty, T. L. (1990). How to make a decision: The analytic hierarchy process. European Journal of Operational Research, 48(1), 9-26. doi:10.1016/0377-2217(90)90057-I
Saaty, T. L. (2000). Fundamentals of decision making and priority theory with the analytic hierarchy process (Vol. 6): RWS publications.
Saaty, T. L. (2008). Decision making with the analytic hierarchy process. International Journal of Services Sciences, 1(1), 83-98. doi:10.1504/IJSSCI.2008.017590
Sen, P. K. (1968). Estimates of the Regression Coefficient Based on Kendall's Tau. Journal of the American Statistical Association, 63(324), 1379-1389. doi:10.1080/01621459.1968.10480934
Tabai, B. H., Bagheri, M., Sadeghi-Firoozabadi, V., & Sze, N. (2018). Evaluating the impact of train drivers’ cognitive and demographic characteristics on railway accidents. Safety science, 110, 162-167. doi:10.1016/j.ssci.2018.03.027
Taiwan Railways Administration (TRA). (2019). 2018 Taiwan Railways Annual Report. Taipei City: Taiwan Railways Administration.
Theil, H. (1950). A rank-invariant method of linear and polynomial regression analysis. Nederlandse Akademie Wetenchappen Series A., 53, 386-392. doi:10.1007/978-94-011-2546-8_20
Vaidya, O. S., & Kumar, S. (2006). Analytic hierarchy process: An overview of applications. European Journal of Operational Research, 169(1), 1-29. doi:10.1016/j.ejor.2004.04.028
Vargas, L. G. (1990). An overview of the analytic hierarchy process and its applications. European Journal of Operational Research, 48(1), 2-8. doi:10.1016/0377-2217(90)90056-H
Wilcox, R. R. (2010). Robust Regression. In Fundamentals of Modern Statistical Methods: Substantially Improving Power and Accuracy (pp. 193-215). New York, NY: Springer New York.
Wilson, J. R., & Norris, B. J. (2005). Rail human factors: Past, present and future. Applied ergonomics, 36(6), 649-660. doi:10.1016/j.apergo.2005.07.001
Zahedi, F. (1986). The Analytic Hierarchy Process—A Survey of the Method and its Applications. INFORMS Journal on Applied Analytics, 16(4), 96-108. doi:10.1287/inte.16.4.96
Zhao, Y., Stow, J., & Harrison, C. (2018). A method for classifying red signal approaches using train operational data. Safety science, 110, 67-74. doi:10.1016/j.ssci.2017.12.007
交通部臺灣鐵路管理局(2016)。交通部臺灣鐵路管理局行車實施要點第280條。[Taiwan Railways Administration (TRA). (2016). Taiwan Railways Administration Directions for Train Operations, §280.]
交通部臺灣鐵路管理局(2018)。交通部臺灣鐵路管理局列車自動防護系統(ATP)使用及管理要點。[Taiwan Railways Administration (TRA). (2018). Taiwan Railways Administration Directions for Usage and Management of the Automatic Train Protection System.]
行政院(2019)。臺鐵總體檢報告。臺北市:行政院。取自https://event.motc.gov.tw/home.jsp?id=1986&parentpath=0,1985&websiteid=201812270001 [Executive Yuan. (2019). Taiwan Railways Administration General Inspection Report. Taipei, Taiwan: Executive Yuan. Retrieved from https://event.motc.gov.tw/home.jsp?id=1986&parentpath=0,1985&websiteid=201812270001]
行政院1021鐵路事故行政調查小組(2018)。臺鐵6432 次列車新馬站內正線出軌事故調查事實、原因及問題改善建議報告。臺北市:行政院。取自https://event.motc.gov.tw/home.jsp?id=1986&parentpath=0,1985&websiteid=201812270001 [Executive Yuan 1021 Railway Accident Administrative Investigation Team (Executive Yuan 1021 RAAIT). (2018). Taiwan Railways Administration Train No. 6432 Derailment in the Main Line of Xinma Station Survey facts, Causes and Problem Improvement Suggestions Report. Taipei, Taiwan: Executive Yuan. Retrieved from https://event.motc.gov.tw/home.jsp?id=1986&parentpath=0,1985&websiteid=201812270001]
孫碩昱(2010)。鐵路司機員駕駛行為分析之研究(碩士論文)。國立成功大學,臺南市。取自https://hdl.handle.net/11296/tv58nt [Sun, S.-Y. (2010). Train Drivers’ Driving Behavior Investigation. (master thesis, National Cheng Kung University, Tainan City). Retrieved from https://hdl.handle.net/11296/tv58nt]
國立臺灣大學軌道科技研究中心(2012)。捷運萬大線風險評估模式。 [National Taiwan University Railway Technology Research Center (NTURTRC). (2012). Risk Assessment Models of MRT Wanda Line.]
臺灣鐵路管理局電務處(2005)。號誌設備概要。臺北市:臺灣鐵路管理局電務處。取自https://www.railway.gov.tw/tra-tip-web/adr/about-publication [Taiwan Railways Administration Electrical Engineering Department (TRA Electrical Engineering Department). (2005). Introduction of the Signal System. Taipei, Taiwan: Taiwan Railways Administration Electrical Engineering Department. Retrieved from https://www.railway.gov.tw/tra-tip-web/adr/about-publication]
龐巴迪運輸公司(2005)。台鐵ATP車上設備。[Bombardier Transportation. (2005). ATP On Board Equipments of TRA.]
連結至畢業學校之論文網頁點我開啟連結
註: 此連結為研究生畢業學校所提供,不一定有電子全文可供下載,若連結有誤,請點選上方之〝勘誤回報〞功能,我們會盡快修正,謝謝!
QRCODE
 
 
 
 
 
                                                                                                                                                                                                                                                                                                                                                                                                               
第一頁 上一頁 下一頁 最後一頁 top