Author(s)

Gao Long ^1,2, Xie Binglei ¹, Zong Chuanling ², Zhang Ning ²

Affiliation(s)

¹ Harbin Institute of Technology, Shenzhen, Shenzhen, 518055, China
² State High-Tech Industrial Innovation Center, Shenzhen, Shenzhen, 518057, China

Corresponding Author

Xie Binglei

ABSTRACT

Urban rail transit has become the main mode to ease traffic congestion, and urban rail transit hub is the most important area for passenger flow distribution in urban rail transit system. Study on the method of simulation and dynamic evaluation of urban rail transit hub has an important significance for train scheduling, operation organization and risk prevention under the viewpoint of traffic safety and service level. This paper analyzed the system characteristics of urban rail transit hub, proposed agent-based modeling and simulation design, simulation process based on Anylogic, dynamic evaluation index set and classification criteria. Furthermore, Beijing South Subway Station was selected for case study, simulation models which included hub simulation model, passenger flow simulation model and train simulation model were built, and experiment results showed that simulation models had a good performance, which was accordant with the reality scene, simulation error was 0.027. Meanwhile, dynamic evaluation which included distribution efficiency, dynamic service level and emergency capacity during the operation period was researched, and optimizing suggestion was proposed, which could provide the beneficial reference for traffic managers.

KEYWORDS

Urban rail transit hub, Agent-based modeling and simulation, Dynamic evaluation, Model performance, Distribution efficiency, Dynamic service level, Emergency capacity

CITE THIS PAPER

Gao Long, Xie Binglei, Zong Chuanling, Zhang Ning, Modeling and Simulation Analysis for Urban Rail Transit Hub. Journal of Civil Engineering and Urban Planning (2023) Vol. 5: 31-42. DOI: http://dx.doi.org/10.23977/jceup.2023.050105.

REFERENCES

[1] Fruin J J. Designing for pedestrians: a level of service concept [J]. Washington DC: Highway Research Board, 1971, 355(12): 1-15.
[2] Muramatsu M, Irie T. Jamming transition in pedestrian counter flow [J]. Physica A, 1999, 267(3): 487-498.
[3] Okazaki S. A study of pedestrian movement in architectural space, part 1: pedestrian movement by the application on of magnetic models [J]. Transactions of the Architectural Institute of Japan, 1979, 283(3): 111-119.
[4] Gipps P G, Marksjo B. A micro-simulation model for pedestrian flows [J]. Mathematics and Computers in Simulation, 1985, 27(2): 95-105.
[5] Lovas G G. Modeling and simulation of pedestrian traffic flow [J]. Transportation Research Part B, 1994, 28(3): 429-443.
[6] Helbing D, Molnar P. Social force model for pedestrian dynamics [J]. Physical Review E, 1995, 51: 4282-4286.
[7] Blue V J, Adler J L. Cellular automata micro-simulation for modeling bi-directional pedestrian walkways [J]. Transportation Research Part B, 2001, 35: 293-312.
[8] Helbing D. Collective Phenomena and States in Traffic and Self-driven Many-particle Systems [J]. Computational Materials Science, 2004, 30: 180-187.
[9] Daamen W, Bovy P H L. Influence of changes in level on passenger route choice in railway stations [C]. 84th Annual Meeting of the Transportation Research Board, Washington DC: National Research Council Press, 2005, 12-20.
[10] Daamen W, Hoogendoorn S P. Choices between stairs, escalators and ramps in stations [C]. 10th International Conference on Computer System Design and Operation in the Railway and Other Transit Systems, 2006, 3-12.
[11] Seriani S, Fernandez R. Pedestrian traffic management of boarding and alighting in metro stations [J]. Transportation Research Part C, 2015, 53: 76-92.
[12] Schelenz T, Suescun A, Wikstrom L. Application of agent based simulation for evaluating a bus layout design from passengers' perspective [J]. Transportation Research Part C, 2014, 43(2): 222-229.
[13] Zhang Q, Han B M, Li D W. Modeling and simulation of passenger alighting and boarding movement in Beijing metro stations. Transportation Research Part C, 2008, 16(5), 635-649.
[14] Zhang Q, Han B M. Modeling and simulation of transfer performance in Beijing metro stations. 8th IEEE International Conference on Control and Automation, 2010, 17(1), 1888-1891.
[15] Zhang Q, Han B M, Li D W. Evaluation method for the operation performance of urban rail transit hub based on simulation technology [J]. China Railway Science, 2011, 32(5): 120-126.
[16] Li W, Wang W, Deng W. Grey relationship multi-criteria appraising method study of the evaluation for urban passenger transfer hub [J]. Journal of Transportation Engineering and Information, 2004, 2(4): 5-9.
[17] Sun L S, Ren F T. Optimize of the transfer organization in urban transportation terminal [J]. Road Traffic and Safety, 2007, 7(3): 18-21.
[18] Yang X G, Zhang Y, Zhang H J. Analysis of traffic information service in urban rail transit hubs [J]. Urban Mass Transit, 2005, 7(5): 27-29.
[19] Li D W. Modeling and simulation of microscopic pedestrian flow in MTR hubs [D]. Beijing: Beijing Jiaotong University, 2007.
[20] Shi D Y, Ding Y, Mao B H. On levels of service of railway facilities based on capacity utility [J]. Journal of Transportation Engineering and Information, 2003, 3(1): 45-50.
[21] Shi F S, Li X M. Comprehensive evaluation on logistic service level of railway freight yard [J]. Railway Transport and Economy, 2004, 25(11): 55-56.
[22] Kuo M S, Liang GS. Combining VIKOR with GRA techniques to evaluate service quality of airports under fuzzy environment [J]. Expert Systems with Applications, 2011, 38(3): 1304-1312.
[23] Deng H Z, Tan Y J, Chi Y. A complex system research method: multiagent based ensemble modeling and simulation method [J]. Systems Engineering, 2010, 18(4): 73-78.
[24] Macal C M, North M J. Tutorial on agent-based modeling and simulation [C]. Proceedings of the 2005 Winter Simulation Conference, 2005.
[25] Ronald N, Sterling L. A BDI approach to agent-based modeling of pedestrians [C]. Proceedings 19th European Conference on Modeling and Simulation, 2005.
[26] Ronald N, Sterling L, Kirley M. An agent-based approach to modeling pedestrian behaviour [J]. Simulation, 2007, 8(1): 1473-8031.
[27] Han P, Han Y H, Li Y. Modeling and simulation by AnyLogic [M]. Beijing: Tsinghua University Press, 2014.
[28] Zhao N, An S. Collaborative management of complex major construction projects: Anylogic-based simulation modeling [J]. Discrete Dynamics in Nature and Society, 2016, 10: 1-8.
[29] Chen J Y. The study on the research between rail and urban rail transportation by means of simulation-a case study in Chengdu [D]. Sichuan: Southwest Jiaotong University, 2014.
[30] Jia H F. The key theory and method of simulation modeling in comprehensive passenger transport hub [M]. Beijing: Science Press, 2011.
[31] Ministry of housing and urban-rural development of the People's Republic of China. GB/T50226-2007. The code for design of railway passenger station buildings [S]. Beijing, 2011.
[32] Ministry of housing and urban-rural development of the People's Republic of China. GB 50157. 158. The code for design for metro [S]. Beijing, 2003. 

Sponsors, Associates, and Links

---

• Journal of Sustainable Development and Green Buildings
  
  
• Landscape and Urban Horticulture
  
  
• Bridge and Structural Engineering
  
  
• Soil Mechanics and Geotechnical Engineering
  
  
• Journal of Municipal Engineering
  
  
• Heating, Ventilation and Air Conditioning
  
  
• Indoor Air Quality and Climate
  
  
• Computer Aided Architecture Design