Simulation of evacuation in an inclined passenger vessel based on an improved social force model

Fang, Siming; Liu, Zhengjiang; Wang, Xinjian; Wang, Jin; Yang, Zaili

doi:10.1016/j.ssci.2022.105675

Cited by 35 publications

(15 citation statements)

References 42 publications

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“…SFMS is used to calculate the attenuation factor of passenger speeds varying with the inclination angle. 32,43 The effect of trim angles from −30° to 30° and heeling angles from 0° to 30° on passenger speeds was studied, and the results of a series of similar experiments conducted by other institutions were compared, as shown in Figure 2. Based on this, the law of the velocity attenuation factor with the inclined angle was obtained by data fitting (red lines).…”

Section: Methodsmentioning

confidence: 99%

“…To investigate human behaviors in evacuations on inclined ships, researchers from many institutions, including the Korea Research Institute of Ships and Ocean Engineering (KRISO), 26 Netherlands Organization for Applied Scientific Research (TNO), 27 Swiss Federal Institute of Technology in Zurich (ETH), 28 BMT Fleet Technology (BMT), 29 Research Institute of Marine Engineering of Japan (RIME), and Maritime Research Institute of Japan (NMRI), 30,31 Hamburgische Schffbau-Versuchsanstalt (HSVA) 10 and Dalian Maritime University (DMU) 32 have conducted studies based on real data or simulators. Sun et al 33 conducted a series of experiments in which 17 students walked on an inclined corridor simulator with a length of 10.0 m, width of 1.8 m, and height of 2.2 m. The results showed that trim angles have a greater influence on the free and fast walking speed than heeling angles.…”

Section: Literature Reviewmentioning

confidence: 99%

“…They defined some equations for the reduction law of the walking speed with slope angles. 10 Fang et al 32 from DMU calculated the speed reduction factor for trim angles from −30° to 30° and heeling angles from 0° to 30° by improving the SFM.…”

Section: Literature Reviewmentioning

confidence: 99%

See 2 more Smart Citations

Evacuation simulation of an Ro-Ro passenger ship considering the effects of inclination and crew’s guidance

Fang

Liu

Zhang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part M:

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The emergency scenarios of passenger ships are reproduced unrealistically by evacuation drills due to cost and safety limitations, and model simulation is an effective alternative method. To study the evacuation efficiency of an inclined ship, a deck of a Ro-Ro ship with 1065 passengers was modeled on a simulation platform developed based on a social force model (SFM). A series of inclined scenarios were produced by adding the walking speed attenuation factor to the individual parameters. Furthermore, the influence of crew’s guidance was considered in this model, and the effects on evacuation were also analyzed for the entire deck. The simulation results show that the larger the inclination angle is, the more evacuation time that is needed. When the largest inclination angle was 20°, the evacuation time increased by 32.6%. In addition, the participation of crew’s guidance in all of these scenarios significantly accelerated the evacuation efficiency, and this benefit was achieved by the evaluation of the exit flow and congestion level by crew. However, organizing orderly evacuations as soon as possible when the inclination angle is less than 15° and making maximum efforts to ensure evacuation success are still recommended. The findings provide useful insights into a large group of Ro-Ro passenger vessels under inclined emergency evacuation.

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Section: Methodsmentioning

confidence: 99%

Section: Literature Reviewmentioning

confidence: 99%

See 1 more Smart Citation

Evacuation simulation of an Ro-Ro passenger ship considering the effects of inclination and crew’s guidance

Fang

Liu

Zhang

et al. 2022

Proceedings of the Institution of Mechanical Engineers, Part M:

Self Cite

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“…One of the existing approaches consists to plan after prediction, i.e., to choose a safe path after predicting the future trajectories [14]. To anticipate pedestrian trajectories, some hand-crafted models (e.g., constant velocity model [15], discrete choice model [16], social force model and its variations [17], [18]) and data-driven approaches (e.g., social LSTM [19], [20], social GAN [21], [22]) have been presented. However, the significant stochasticity of the crowd behavior frequently affects the computing cost and reliability of pedestrian trajectory prediction.…”

Section: Introductionmentioning

confidence: 99%

Implementation of SARL* Algorithm for A Differential Drive Robot in a Gazebo Crowded Simulation Environment

Seghiri

Mansouri

Chemori

2022

2022 2nd International Conference on Advanced Electrical Engineering (ICAEE)

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Because of the stochasticity in people's behaviors, autonomous navigation in crowded environments is critical and challenging for both the robot and people evolving around. This paper deals with the implementation and effectiveness evaluation of the Socially Attentive Reinforcement Learning star algorithm, namely SARL*, which is an extended version of the state-of-theart socially compliant navigation algorithm SARL. It introduces a dynamic local goal resetting mechanism. The Simulations were conducted in the Robot Operating System (ROS) and the Gazebo simulator is used to test the human-aware navigation in different scenarios. Simulation results illustrate the efficiency of SARL* in terms of navigation around people in a socially acceptable manner. Nevertheless, it could not navigate efficiently when the goal position is located behind static or quasi-static obstacles.

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“…e social force model mainly simulates individual and group movement according to Newton's second law formula, and the speed of the individual is compatible with the overall speed, which can portray the dynamic behavior of the individual. As a result, social force models are more used in areas such as emergency crowd evacuation [14][15][16][17][18][19][20][21], that is, most scholars have made many modi cations and optimizations [22][23][24][25][26][27][28][29][30]. Jiang et al [31] present a generalized walking cost distribution to determine a dynamic navigation eld in the social force model for pedestrian evacuation and expect to choose an optimal path with the lowest walking cost to reach their target destination.…”

Section: Introductionmentioning

confidence: 99%

Research on the Behavioral Dynamics Motion Planning Method of the Human-Vehicle Social Force Model

Gai-ning

Zhang

et al. 2022

Computational Intelligence and Neuroscience

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The interactive motion planning between unmanned vehicles and pedestrians in urban road environments is the key to realizing the autonomous motion of unmanned vehicles in hybrid traffic scenarios. The problem of human-vehicle interaction motion planning modeling at complex intersections is studied for an unmanned vehicle in this article. First, the motion planning of pedestrians and the unmanned vehicles is established according to the social force model and the behavioral dynamics model. Then, the autonomous vehicle is added to the crowd, and the human-vehicle interaction force is established. The virtual force is added to the social force model and the behavioral dynamics model, respectively, and the improved social force model and the behavioral dynamics model are used for the motion planning of pedestrians and unmanned vehicles. In this way, the established model solves the problems of simple pedestrian interaction motion planning in the social force model and single-body motion planning in the behavioral dynamics and thus provides a strong support for multibody motion planning. Finally, through the interactive motion planning trajectory of pedestrians and unmanned vehicles in different scenes, the vehicle and pedestrian motion planning trajectory can effectively avoid overlapping or crossing, so as to avoid the collision, which verifies the effectiveness and feasibility of the proposed model.

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Simulation of evacuation in an inclined passenger vessel based on an improved social force model

Cited by 35 publications

References 42 publications

Evacuation simulation of an Ro-Ro passenger ship considering the effects of inclination and crew’s guidance

Evacuation simulation of an Ro-Ro passenger ship considering the effects of inclination and crew’s guidance

Implementation of SARL* Algorithm for A Differential Drive Robot in a Gazebo Crowded Simulation Environment

Research on the Behavioral Dynamics Motion Planning Method of the Human-Vehicle Social Force Model

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