Risk-based stochastic equilibrium assignment model in augmented urban railway network
作者： Wu Jianjun , Sun Huijun , Gao Ziyou , Han Linghui , Si Bingfeng
DOI: 10.1002/ATR.218
关键词: Flow (mathematics) 、 Stochastic equilibrium 、 Engineering 、 State (computer science) 、 Railway system 、 Mathematical optimization 、 Event (probability theory) 、 Operations research 、 Risk aversion
摘要: SUMMARY This study developed a methodology to model the passenger flow stochastic assignment in urban railway network (URN) with considerations of risk attitude. Through augmentation technique, system is represented by an augmented which common traffic method can be used directly similar generalized form. Using analysis different cases including deterministic travel state, emergent event, peak travel, and completely we equilibrium formulation capture these give effects aversion level on URN performance, at transfer stations through numerical studies. Copyright © 2012 John Wiley & Sons, Ltd.
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