Version 1
: Received: 2 April 2024 / Approved: 2 April 2024 / Online: 3 April 2024 (16:37:35 CEST)
How to cite:
Wei, B.; Zhao, R.; Li, C.; Li, M.; Ma, Y.; Wong, E.S.W. Disturbance Propagation Model of Luggage Drifting Motion Based on Nonlinear Pressure in Typical Passenger Corridors of Transportation Hubs. Preprints2024, 2024040253. https://doi.org/10.20944/preprints202404.0253.v1
Wei, B.; Zhao, R.; Li, C.; Li, M.; Ma, Y.; Wong, E.S.W. Disturbance Propagation Model of Luggage Drifting Motion Based on Nonlinear Pressure in Typical Passenger Corridors of Transportation Hubs. Preprints 2024, 2024040253. https://doi.org/10.20944/preprints202404.0253.v1
Wei, B.; Zhao, R.; Li, C.; Li, M.; Ma, Y.; Wong, E.S.W. Disturbance Propagation Model of Luggage Drifting Motion Based on Nonlinear Pressure in Typical Passenger Corridors of Transportation Hubs. Preprints2024, 2024040253. https://doi.org/10.20944/preprints202404.0253.v1
APA Style
Wei, B., Zhao, R., Li, C., Li, M., Ma, Y., & Wong, E.S.W. (2024). Disturbance Propagation Model of Luggage Drifting Motion Based on Nonlinear Pressure in Typical Passenger Corridors of Transportation Hubs. Preprints. https://doi.org/10.20944/preprints202404.0253.v1
Chicago/Turabian Style
Wei, B., Yulong Ma and Eric S. W. Wong. 2024 "Disturbance Propagation Model of Luggage Drifting Motion Based on Nonlinear Pressure in Typical Passenger Corridors of Transportation Hubs" Preprints. https://doi.org/10.20944/preprints202404.0253.v1
Abstract
In current transportation hubs, it is a common phenomenon that passengers travel with necessary wheeled-luggage or suitcases. Due to the fact that most luggage occupies certain space within dense passenger crowds with giant mass inertia, its abnormal motions, such as drifting, frequently trig unavoidable local disturbances and turbulence in surrounding pedestrian flows, further increasing security risk. While, current researches primarily concentrate on examining the impact of luggage on crowd evacuation efficiency through scenario-based experiments and analyzing the spatial characteristics of crowd distribution in surveillance videos. There still lacks of the dynamic disturbance mechanisms and crowd stability associated with the combined motion of passengers and luggage. Therefore, this study considers the luggage-laden passenger as a deformable particle, the resulting disturbance on surrounding non-luggage passengers is analyzed and quantified into a nonlinear pressure term. Subsequently, the disturbance propagation model of passenger-luggage is developed by adapting the classical Aw-Rascle traffic flow model with incorporation of the pressure term. Simulation experiments of disturbances caused by luggage drifting and retrograding validate that the proposed propagation model aligns with real-world situations in transportation hubs. Quantitively, when luggage-laden passenger drifted left, the disturbing force of left side crowd can reach a peak of 238N in the passenger density of 3.0 p/m2, and the maximum difference between the left and right sides disturbing force can reach 153N. Furthermore, it is recommended that the proposed model can be applied to crowd flow analysis and risk assessment.
Computer Science and Mathematics, Applied Mathematics
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
