Abstract
Facing the situation of the large-scale network, we conducted the research and construction on simulation and system modeling towards the problem of how to economically and efficiently conduct the operation and simulation of urban rail transit network. We built a core simulation model mainly formed of topology infrastructure model of the network, simulation model for the process of train operation and the simulation model for the process of passengers’ travel in order to meet the need of the train operation and passengers’ travel. Having constructed the distributed simulation structure for the networked operation based on fixed distributed strategy, we proposed a simulation clock coordination mechanism based on key synchronous events, and developed a distributed simulation system for the networked operation of urban rail transit system. Taking the congestion situation for the passenger flow of Beijing’s subway and the confirmation for the passenger flow limitation scheme of the network coordination as the backgrounds, two conducted the applied research on the distributed simulation system for the operation of urban rail transit system.
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References
Song W (2011) Simulation of subway station emergency evaluation. Southwest Jiaotong University, Chengdu (in Chinese)
Li D (2007) Modeling and simulation of microscopic pedestrian flow in MTR hubs. Beijing Jiaotong University, Beijing (in Chinese)
Hoogendoorn SP (2003) Microscopic simulation of pedestrian flows [DB/CD]. Transportation Research Board, USA
Victor J, Blue JLA (2001) Cellular automata microsimulation of bi-directional pedestrian flows. Transp Res Part B: Methodol 3:293–312
Antonini G, Bierlaire M, Weber M (2006) Discrete choice models of pedestrian walking behavior. Transp Res Part B 40:667–687
Hoogendoorn SP, Bovy PHL (2004) Pedestrian route-choice and activity scheduling theory and models. Transp Res Part B 38:169–190
Dong H, Rui Z (2008) Movement vs. behavioral models in pedestrian micro-simulation: a comparison between STEPS and NOMAD. Urban Transp China 6(6):33–40 (in Chinese)
Qixin HMS (2009) Comparative study of pedestrian simulation model and related software. J Transp Inf Saf 4(27):122–127 (in Chinese)
Gui X (2008) Research and development of urban rail transit traction calculation system. Beijing Jiaotong University, Beijing (in Chinese)
Yalçınkaya Ö, Bayhan GM (2009) Modelling and optimization of average travel time for a metro line by simulation and response surface methodology. Eur J Oper Res 196:225–233
Yang Z, Mao B, Ho T (2002) Situation and development of railway transportation system simulators. J Northern Jiaotong Univ 26(5):1–8 (in Chinese)
Jiang X, Miao J, Liu J (2014), Multi-resolution modeling and simulation for urban rail transit network planning and analysis. J Railway Eng Soc 31(192):115–120 (in Chinese)
Acknowledgements
The authors gratefully acknowledge the support provided by the national key research project “Safety assurance technology of urban rail system” (Grant No. 2016YFB1200402) in China.
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Feng, J., Jiang, X., Jia, F., Zhang, C. (2018). Distributed Simulation Modeling and System Construction for the Networked Operation of Urban Railway System. In: Jia, L., Qin, Y., Suo, J., Feng, J., Diao, L., An, M. (eds) Proceedings of the 3rd International Conference on Electrical and Information Technologies for Rail Transportation (EITRT) 2017. EITRT 2017. Lecture Notes in Electrical Engineering, vol 482. Springer, Singapore. https://doi.org/10.1007/978-981-10-7986-3_99
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DOI: https://doi.org/10.1007/978-981-10-7986-3_99
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