مدل‌سازی استراتژی کنترلی اولین توقف و تمام توقف اتوبوس‌ها در شرایط عدم قطعیت

نوع مقاله : علمی - پژوهشی

نویسندگان
1 کارشناسی ارشد، گروه مهندسی حمل و نقل، دانشکده مهندسی عمران، دانشگاه علم و صنعت ایران، تهران، ایران
2 استادیار، گروه مهندسی حمل و نقل، دانشکده مهندسی عمران، دانشگاه علم و صنعت ایران، تهران، ایران
چکیده
با توجه به اهمیت حفظ عملکرد شبکه در شرایط اختلال در یک سطح مطلوب، در دهه‌های اخیر تعریفی جدید برای ارزیابی عملکرد شبکه‌های حمل‌ونقلی ارائه شده است که اعتمادپذیری شبکه را در شرایط عدم قطعیت بیان می‌کند. ازاین‌رو ارزیابی قابلیت اطمینان عملکرد شبکه‌های حمل‌ونقل در طراحی و یا ارتقا و بازسازی آن‌ها نقش بسیار پراهمیتی پیدا کرده است. یکی از اقدامات برای افزایش قابلیت اطمینان استفاده از استراتژی‌های کنترلی است که باعث کاهش زمان انتظار مسافران در ایستگاه می‌گردد. برای استراتژی کنترلی تمام توقف، دو سناریوی عدم وجود شرایط سبقت اتوبوس‌ها و سناریوی وجود شرایط سبقت اتوبوس‌ها موردبررسی قرارگرفته است. برای هرکدام از استراتژی‌های کنترلی تمام توقف و اولین توقف یک مدل ریاضی جداگانه ارائه‌ شده تا زمان توقف بهینه اتوبوس‌ها در ایستگاه به‌صورتی مشخص شود که زمان انتظار مسافران کمینه شود. سپس به بررسی محدودیت مربوط به حداکثر زمان توقف اتوبوس‌ها در شرایط عدم قطعیت (محدودیت نرم) و تاثیر آن بر روی تابع هدف پرداخته شده است. برای بررسی تاثیر شرایط عدم قطعیت بر روی استراتژی‌های کنترلی از یک مثال فرضی استفاده شده است. نتایج مربوط به زمان انتظار مسافران برای سطح اطمینان‌های مختلف برای هرکدام از استراتژی‌ها آورده شده است. در استراتژی کنترلی اولین توقف و تمام توقف(سناریو اول) با افزایش سطح اطمینان، زمان انتظار مسافران افزایش می‌یابد اما در استراتژی کنترلی تمام توقف(سناریو دوم) تغییرات سطح اطمینان تاثیری در مقدار تابع هدف ندارد و تابع هدف تقریبا ثابت است.

کلیدواژه‌ها


عنوان مقاله English

Modeling the First Holding and All Holding Control Strategy of Buses under Uncertainty

نویسندگان English

Masoud mohammad hosein mirzaei 1
Abdolreza Sheikholeslami 2
1 M.Sc., Department of Road and Transportation Engineering, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran
2 Assistant Professor, Department of Road and Transportation Engineering, School of Civil Engineering, Iran University of Science and Technology, Tehran, Iran
چکیده English

In recent decades, due to the importance of keeping transportation system performance in the condition of disturbance at the desired level, a new definition has been provided to evaluate the performance of transportation system, which expresses the reliability of the system in conditions of uncertainty. Therefore, assessment the reliability of the performance of transportation system in their design or upgrading and reconstruction has become very important. To increase reliability, control strategies are used that reduce the waiting time of passengers at the station. The scenario of the absence of overtaking conditions of buses and the scenario of the presence of overtaking conditions of buses are introduced and a separate mathematical model is presented for each to determine the optimal holding time of buses at the stop so that the waiting time of passengers is minimized. Then, the constraint of the maximum holding time of buses in the condition of uncertainty (soft limit) and its effect on the objective function are evaluated. An assumed example has been used to investigate the impact of uncertainty on control strategies. Passenger waiting time results for different confidence levels for each strategy are given. In the first holding control strategy and all holding (first scenario), the waiting time of passengers increases with the increase of the confidence level, but in the all holding control strategy (second scenario), changes in the confidence level do not affect the objective function and the objective function is almost constant.

کلیدواژه‌ها English

reliability, control strategy, uncertainty
نایبی، ذگردی، امین ناصری، یقینی، (1395). "بهینه‌سازی استراتژی‌های مدیریت اختلال در خطوط راه‌آهن شهری با استفاده از الگوریتم جستجوی همسایگی متغیر"، مهندسی حمل‌ونقل، سال نهم، شماره سوم، بهار 1397.
 
 Abkowitz, Mark, Amir Eiger, and Israel Engelstein. 1986. “Optimal Control of  Headway Variation on Transit Routes.” Journal of Advanced Transportation 20(1): 73–88. https://onlinelibrary.wiley.com/doi/abs/10.1002/atr.5670200106
 
 Asgharzadeh, Mohamad Amin. 2017. Real-Time Bus Holding Control Strategy to Reduce Passenger Waiting Time.
 
 Barnett, Arnold. 1974. “On Controlling Randomness in Transit Operations.” Transportation Science 8(2): 102–16. https://doi.org/10.1287/trsc.8.2.102
 
 Chen, Weiya, Hengpeng Zhang, Chunxiao Chen, and X Wei. 2021. “An Integrated Bus Holding and Speed Adjusting Strategy Considering Passenger’s Waiting Time Perceptions.” Sustainability 13: 5529.
 
 Delgado, Felipe, Juan Carlos Muñoz, Ricardo Giesen, and Aldo Cipriano. 2009. “Real-Time Control of Buses in a Transit Corridor Based on Vehicle Holding and Boarding Limits.” Transportation Research Record 2090(1): 59–67.
https://doi.org/10.3141/2090-07
 
 Eberlein, Xu Jun, Nigel H M Wilson, and David Bernstein. 2001. “The Holding Problem with Real–Time Information Available.” Transportation Science 35(1): 1–18. https://doi.org/10.1287/trsc.35.1.1.10143
 
 Eberlein, Xujun, Nigel H M Wilson, Cynthia Barnhart, and David Bernstein. 1998. “THE REAL-TIME DEADHEADING PROBLEM IN TRANSIT OPERATIONS CONTROL.” Transportation Research Part B-methodological 32: 77–100.
 
 Eberlein, Xujun, Nigel H M Wilson, and David Bernstein. 1999. “Modeling Real-Time Control Strategies in Public Transit Operations.” Lecture Notes in Economics and Mathematical Systems: 325–46.
 
 Asgharzadeh, Mohamad Amin. 2017. Real-Time Bus Holding Control Strategy to Reduce Passenger Waiting Time.
 
 Cats, Oded et al. 2012. “Bus Holding Control Strategies: A Simulation-Based Evaluation and Guidelines for Implementation.” Transportation Research Record Journal of the Transportation Research Board 2274: 100–108.
 
 Chen, Weiya, Hengpeng Zhang, Chunxiao Chen, and X Wei. 2021. “An Integrated Bus Holding and Speed Adjusting Strategy Considering Passenger’s Waiting Time Perceptions.” Sustainability 13: 5529.
 
 Delgado, Felipe, Juan Carlos Muñoz, Ricardo Giesen, and Aldo Cipriano. 2009. “Real-Time Control of Buses in a Transit Corridor Based on Vehicle Holding and Boarding Limits.” Transportation Research Record 2090(1): 59–67. https://doi.org/10.3141/2090-07.
 
 Eberlein, Xu Jun, Nigel H M Wilson, and David Bernstein. 2001. “The Holding Problem with Real–Time Information Available.” Transportation Science 35(1): 1–18. https://doi.org/10.1287/trsc.35.1.1.10143.
 
 Eberlein, Xujun, Nigel H M Wilson, Cynthia Barnhart, and David Bernstein. 1998. “THE REAL-TIME DEADHEADING PROBLEM IN TRANSIT OPERATIONS CONTROL.” Transportation Research Part B-methodological 32: 77–100.
 
 Eberlein, Xujun, Nigel H M Wilson, and David Bernstein. 1999. “Modeling Real-Time Control Strategies in Public Transit Operations.” Lecture Notes in Economics and Mathematical Systems: 325–46.
 
 Fu, Liping, and Xuhui Yang. 2002. “Design and Implementation of Bus–Holding Control Strategies with Real-Time Information.” Transportation Research Record 1791(1): 6–12. https://doi.org/10.3141/1791-02
 
 Gkiotsalitis, Konstantinos. 2019. Bus Holding Control of Running Buses in Time Windows.
 
 Hickman, Mark D. 2001. “An Analytic Stochastic Model for the Transit Vehicle Holding Problem.” Transportation Science 35(3): 215–37. https://doi.org/10.1287/trsc.35.3.215.10150
 
 Ibarra-Rojas, O J, F Delgado, R Giesen, and J C Muñoz. 2015. “Planning, Operation, and Control of Bus Transport Systems: A Literature Review.” Transportation Research Part B: Methodological 77: 38–75. https://www.sciencedirect.com/science/article/pii/S0191261515000454
 
 Laskaris, G, O Cats, E Jenelius, and F Viti. 2016. “A Real-Time Holding Decision Rule Accounting for Passenger Travel Cost.” In 2016 IEEE 19th International Conference on Intelligent Transportation Systems (ITSC), , 2410–15.
 
 Laskaris, Georgios et al. 2021. “A Holding Control Strategy for Diverging Bus Lines.” Transportation Research Part C: Emerging Technologies 126: 103087. https://www.sciencedirect.com/science/article/pii/S0968090X2100108X
 
 Liang, Shidong, Shengxue He, Hu Zhang, and Minghui Ma. 2021. “Optimal Holding Time Calculation Algorithm to Improve the Reliability of High Frequency Bus Route Considering the Bus Capacity Constraint.” Reliability Engineering & System Safety 212: 107632. https://www.sciencedirect.com/science/article/pii/S0951832021001733
 
 Liang, Shidong, Minghui Ma, and Shengxue He. 2019. “Multiobjective Optimal Formulations for Bus Fleet Size of Public Transit under Headway-Based Holding Control” ed. Dongjoo Park. Journal of Advanced Transportation 2019: 2452348. https://doi.org/10.1155/2019/2452348
 
 Moreira-Matias, Luís et al. 2016. “An Online Learning Approach to Eliminate Bus Bunching in Real-Time.” Applied Soft Computing 47: 460–82. https://www.sciencedirect.com/science/article/pii/S1568494616303118
 
 Nesheli, Mahmood Mahmoodi, and Avishai (Avi) Ceder. 2017. “Real-Time Public Transport Operations: Library of Control Strategies.” Transportation Research Record 2647(1): 26–32.
https://doi.org/10.3141/2647-04
 
 Newell, Gordon Frank, and Renfrey Burnard Potts. 1964. “Maintaining a Bus Schedule.” In Australian Road Research Board (ARRB) Conference, 2nd, 1964, Melbourne.
 
 O_Dell, Susan W, and Nigel H M Wilson. 1999. “Optimal Real-Time Control Strategies for Rail Transit Operations during Disruptions.” Lecture Notes in Economics and Mathematical Systems: 299–323.
 
 Osuna, E E, and G F Newell. 1972. “Control Strategies for an Idealized Public Transportation System.” Transportation Science 6(1): 52–72.
https://doi.org/10.1287/trsc.6.1.52
 
 Sánchez-Martínez, G E, Haris Koutsopoulos, and N H M Wilson. 2016. “Real-Time Holding Control for High-Frequency Transit with Dynamics.” Transportation Research Part B: Methodological 83: 1–19.
 
 Turnquist, Mark A. 1981. “STRATEGIES FOR IMPROVING RELIABILITY OF BUS TRANSIT SERVICE.” Transportation Research Record.
 
 Turnquist, Mark A, and Steven W Blume. 1980. “EVALUATING POTENTIAL EFFECTIVENESS OF HEADWAY CONTROL STRATEGIES FOR TRANSIT SYSTEMS.” Transportation Research Record.
 
 Wang, Jiawei, and Lijun Sun. 2020. “Dynamic Holding Control to Avoid Bus Bunching: A Multi-Agent Deep Reinforcement Learning Framework.” Transportation Research Part C: Emerging Technologies 116: 102661. https://www.sciencedirect.com/science/article/pii/S0968090X20305763
 
 Xuan, Yiguang, Juan Argote, and Carlos F Daganzo. 2011. “Dynamic Bus Holding Strategies for Schedule Reliability: Optimal Linear Control and Performance Analysis.” Transportation Research Part B: Methodological 45(10): 1831–45.
https://www.sciencedirect.com/science/article/pii/S0191261511001093
 
 Zolfaghari, Saeed, Nader Azizi, and Mohamad Y Jaber. 2004. “A Model for Holding Strategy in Public Transit Systems with Real-Time Information.” International Journal of Transport Management 2(2): 99–110.
https://www.sciencedirect.com/science/article/pii/S1471405105000030
 
 M. S. Pishvaee, J. Razmi, and S. A. Torabi, “Robust possibilistic programming for socially responsible supply chain network design: A new approach,” Fuzzy Sets Syst., vol. 206, pp. 1–20, 2012, doi:
https://doi.org/10.1016/j.fss.2012.04.010
 
 J. Mula, R. Poler, and J. P. Garcia, “MRP with flexible constraints: A fuzzy mathematical programming approach,” Fuzzy Sets Syst., vol. 157, no. 1, pp. 74–97, 2006, doi: https://doi.org/10.1016/j.fss.2005.05.045
 
 R. E. Bellman and L. A. Zadeh, “Decision-Making in a Fuzzy Environment,” Manage. Sci., vol. 17, no. 4, p. B-141-B-164, Dec. 1970, doi: 10.1287/mnsc.17.4.B141
 
 R. R. Yager, “Ranking fuzzy subsets over the unit interval,” in 1978 IEEE Conference on Decision and Control including the 17th Symposium on Adaptive Processes, 1978, pp. 1435–1437, doi: 10.1109/CDC.1978.268154.
 
 R. R. Yager, “A procedure for ordering fuzzy subsets of the unit interval,” Inf. Sci., vol. 24, pp. 143–161, 1981.

  • تاریخ دریافت 13 شهریور 1401
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