scholarly journals Simulation-Based Model of Emergency Evacuation Guidance in the Metro Stations of China

IEEE Access ◽  
2020 ◽  
Vol 8 ◽  
pp. 62670-62688
Author(s):  
Shengjie Long ◽  
Dezhi Zhang ◽  
Shuangyan Li ◽  
Shuxin Yang ◽  
Binqiao Zhang
2020 ◽  
Author(s):  
Qin Peijun ◽  
Yi Tao ◽  
Zhang Xiaofei ◽  
Jiang Shaoen ◽  
Che Yanbo

Author(s):  
Jennifer Smith ◽  
Brian Veitch

Offshore petroleum platforms present complex, time-sensitive situations that can make emergency evacuations difficult to manage. Virtual environments (VE) can train safety-critical tasks and help prepare personnel to respond to real-world offshore emergencies. Before industries can adopt VE training, its utility must be established to ensure the technology provides effective training. This paper presents the results of two experiments that investigated the training utility of VE training. The experiments focused particularly on determining the most appropriate method to deliver offshore emergency egress training using a virtual environment. The first experiment used lecture-based teaching (LBT). The second experiment investigated the utility of a simulation-based mastery learning (SBML) pedagogical method from the medical field to address offshore emergency egress training. Both training programs (LBT and SBML) were used to train naïve participants in basic onboard familiarization and emergency evacuation procedures. This paper discusses the training efficacy of the SBML method in this context and compares the results of the SBML experimental study to the results of the LBT training experiment. Efficacy of the training methods is measured by a combination of time spent training and performance achieved by each of the training groups. Results show that the SBML approach to VE training was more time effective and produced better performance in the emergency scenarios. SBML training can help address individual variability in competence. Limitations to the SBML training are discussed and recommendations to improve the delivery of SBML training are presented. Overall, the results indicate that employing SBML training in industry can improve human reliability during emergencies through increased competence and compliance.


2014 ◽  
Vol 587-589 ◽  
pp. 1912-1915 ◽  
Author(s):  
Zhu Huan Li ◽  
Xi Zhang

As a modern large Railway station,Beijing South Railway station is an important city infrastructure in Beijing, it is a large public service establishments with a large number of passengers distribution activities. It’s meaningful to do some research on how to develop some emergency passenger safety evacuation plan scientifically, which can improve its security emergency ability. Based on the analysis of present situation home and abroad, this paper made deep analysis and researches on characteristics of elevated layer and emergency within it and the methods of large passenger safely evacuate simulation. Based on the situation of elevated layer of Beijing South Railway station, this paper chose AnyLogic software to establish the elevated layer of Beijing South Railway station emergency evacuation model and analysis the evacuation success rate. Provide optimization suggestions for the emergency safety management of Beijing South Railway station.


Author(s):  
Nan Zou ◽  
Shu-Ta Yeh ◽  
Gang-Len Chang ◽  
Alvin Marquess ◽  
Michael Zezeski

This paper presents a simulation-based system for Ocean City, Maryland, evacuation during hurricanes. The proposed model features integration of optimization and simulation that allows potential users to revise the optimized plan for both planning and real-time operations. Since it is difficult to capture all network operational constraints and driver responses fully with mathematical formulations, six evacuation plans for Ocean City were investigated. Each was optimized initially with the optimization module and then revised on the basis of the results of simulation evaluation. To address potential incidents during the evacuation, the study presents a real-time operation plan with a developed system that allows the responsible operators to concurrently evaluate all candidate responsive strategies and to track the performance over time of the implemented strategy.


2017 ◽  
Vol 159 (A4) ◽  
Author(s):  
P A Sarvari ◽  
E Cevikcan

There are many hazards on a ship that makes an emergency evacuation process inevitable. Providing safe and effective evacuation of passengers from ships in an emergency situation becomes critical. Handling a real ship evacuation practice is often unaffordable as modelling such an environment is very expensive and may cause severe distress to participants. As an alternative, simulation models have been used to overwhelm the issue above in recent years. Therefore, this paper proposes a novel simulation-based methodology for evaluating the effect of factors including physical as well as psychological passenger characteristics and routeing systematic on emergency evacuation process for public marine transportation. A detailed questionnaire has been conducted in this work to reflect passenger characteristics on simulation model in a more realistic manner. Also, a new routeing systematic is developed to provide an efficient evacuation procedure. As another contribution, a novel grid-based approach where the meshed discretized nodes can contain more than one passenger is proposed in simulation model for the first time. Then, a statistical analysis is included within the methodology to assess the importance level of each factor on evacuation time. The proposed methodology is applied to a real life Ro-Ro ferry. A validation protocol based on IMO regulations is conducted and confirmed the effectiveness of the suggested simulation model. The simulation of different scenario types have indicated the influencing factors in a ship emergency evacuation. According to results, passenger characteristics has been identified as the most dominant factor on evacuation performance. The highest evacuation time difference has been observed for different levels of weight attribute. Moreover, it is concluded that the consideration of load utilization balancing among evacuation systems for routeing decreases evacuation time significantly. Finally, significant evacuation time difference between grid approaches have been demonstrated.


2013 ◽  
Vol 765-767 ◽  
pp. 591-594
Author(s):  
Chao Ying Zhang ◽  
Hu Liu

Using interactive virtual simulation methods and combining numerical calculation software, the 3D airline emergency evacuation simulation system is established in Virtools platform according to the received data. The system takes full account of the passengers' individual differences during the evacuation process, setting up different member parameters, which influence the passengers evacuation behavior. In order to fulfill the different types of evacuation requirements in various simulation, it can change evacuation path algorithm, cabin layout data and evacuees component parameters, to get the corresponding evacuation simulation results. Meanwhile, the system interface can change visual angle to realize human-machine interaction freely and reflect the evacuation of the evacuation process accurately. Also the reliability of the system simulation result is verified by compared with the results of actual certification trial.


Author(s):  
Xianguo Wu ◽  
Mengjie Liu ◽  
Limao Zhang

This paper presents a systematic simulation-based approach with detailed step-by-step procedures for route planning in emergency evacuation in metro stations. In accordance with emergency evacuation mechanism analysis, the length of evacuation route (L), the time of evacuation (T) and the density of pedestrian flow (D) are identified as critical factors that affect the performance of emergency evacuation. With all the critical factors, such as L, T and D, taken into account, a comprehensive multi-attribute decision algorithm is developed in order to optimize the selection of evacuation route under emergency. Taking the Hongshan Station in Wuhan metro systems as an example, the Anylogic tool is used to simulate the scenario of evacuation route planning in case of a fire. The simulation results regarding the evacuation performance indicators are analyzed and compared between the traditional and proposed approaches. Results indicate that the proposed approach can reduce the evacuation time without increasing the route length, and improve greatly the crowded conditions of pedestrian flow. The developed approach can provide guidelines and support for the optimization of evacuation route planning under emergency conditions.


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