By considering the difference between a car driver’s route choice behavior on the road and a passenger’s route choice behavior in urban rail transit (URT), this paper proposes an enhanced Dynamic User Optimal (DUO) passenger flow assignment model for metro networks. To capture realistic URT phenomena, the model has integrated the train operation disturbance constraint. Real passenger and train data are used to verify the proposed model and algorithm. The results indicate that the DUO-based model is more suitable for describing passenger route choice behavior under uncertain conditions compared to a static model. Moreover, this paper found that passengers under oversaturated conditions are more sensitive to train operation disturbances compared to undersaturated passengers.
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Abstract Purpose Overcoming the flaws of current data management conditions in head and neck oncology could enable integrated informatio...
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from #AlexandrosSfakianakis via Alexandros G.Sfakianakis on Inoreader http://ift.tt/2vzMRTg via IFTTT
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Vol.83 No.3 from #AlexandrosSfakianakis via Alexandros G.Sfakianakis on Inoreader http://ift.tt/1TkQfWM via IFTTT
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Editorial introductions No abstract available Editorial: COVID-19 in older persons: the role of nutrition No abstract available A year with ...
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Small size of metastatic lymph nodes with extracapsular spread greatly impacts treatment outcomes in oral squamous cell carcinoma patie...
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Abstract We generated an alternative reverse genetics (RG) system based on a synthesized swine 45S rRNA promoter to rescue the H3N2 subtype...
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Abstract In present work, the electronic structure and optical properties of the FeX 2 (X = S, Se, Te) compounds have been evaluated by t...
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A frame deformation estimation algorithm is investigated for the purpose of real-time control and health monitoring of flexible lightweight ...
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