Passenger Evacuation Path Planning in Subway Station Under Multiple Fires Based on Multiobjective Robust Optimization

Yang, Xiaoxia; Zhang, Rui; Li, Yongxing; Pan, Fuquan

doi:10.1109/tits.2022.3190291

Cited by 23 publications

(3 citation statements)

References 55 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…These models can simulate various scenarios and assess the effectiveness of different evacuation strategies. Research on motion dynamics during evacuations has been conducted in a variety of settings, including buildings [13], subway transportation systems [14], aerial environments [15], marine environments [16], stadiums [17], and public spaces [18]. In each of these environments, specific factors have been identified that influence people's movement dynamics.…”

Section: Dynamics Of the Movement Of Peoplementioning

confidence: 99%

Analysis of Pedestrian Behavior for the Optimization of Evacuation Plans in Tall Buildings: Case Study Santiago, Chile

Ternero,

Sepúlveda,

Alfaro

et al. 2023

Buildings

View full text Add to dashboard Cite

Countries located in the Pacific Ring of Fire, such as Chile, require robust evacuation plans for tall buildings to manage the ongoing threat of natural disasters. This study presents a methodology for developing evacuation plans by conducting pedestrian movement simulations with agents that have a model of their surroundings. This approach allows us to assess different scenarios and choose the best option based on the specific characteristics of the site. The method combines simulation and data analysis, using the Monte Carlo method to improve emergency evacuations. Initially, Pathfinder software was employed to simulate the evacuation of a tall building. This involved modeling pedestrian movements using a multiagent system. These agents were programmed to behave like real pedestrians and make decisions during evacuation scenarios, providing valuable information. The effectiveness of two evacuation strategies was then evaluated using the simulation data. The proposed methodology was validated using a case study. The simulations showed that the best strategy depends on factors such as the distribution of people, the capacity of the exits, and the time available for evacuation. Finally, the model includes a training process that uses virtual reality technology to improve situational awareness.

show abstract

Section: Dynamics Of the Movement Of Peoplementioning

confidence: 99%

Analysis of Pedestrian Behavior for the Optimization of Evacuation Plans in Tall Buildings: Case Study Santiago, Chile

Ternero,

Sepúlveda,

Alfaro

et al. 2023

Buildings

View full text Add to dashboard Cite

show abstract

“…Additionally, Li et al [24] modeled passenger group panic in emergency situations, Zhao et al [25] investigated passengers' dependency on station functions, and Su et al [26] developed calculation methods for passenger flow distribution. On the other hand, Lee et al [27] analyzed subway passengers' route preferences, while Yang et al [28] concentrated on passenger evacuation path planning in emergency situations. Furthermore, Guo and Zhang [29] worked on the real-time monitoring of passenger flow congestion, and Mo et al [30] addressed the calibration of simulation models using smart card and train movement data.…”

Section: Existing Studies On Escalators In Urban Railway Stationsmentioning

confidence: 99%

Analyzing Escalator Infrastructures: A Pilot Study in Santiago Metro

López,

Tapia,

Seriani

2023

Applied Sciences

View full text Add to dashboard Cite

The behavior of passengers in urban railway stations (i.e., metro stations) is dependent on environmental, cultural, and temporal factors. This affects how escalator infrastructures are used, with some passengers standing on one side of the steps to allow others to walk and, in other cases, others standing or walking on both sides of the steps. In this research, escalator infrastructures were studied to better understand the relationship between different conditions and passenger behaviors through a method based on video cameras, passenger detection techniques, and a simulation framework. The results indicate that passenger behavior could affect escalator infrastructure as it varies significantly depending on the time of day, type of station, local culture, and other environmental factors. The implications of these findings for the planning and design of the infrastructure of railway stations are discussed, and practical recommendations are proposed to improve the efficiency of escalator usage in urban railway stations.

show abstract

“…For example, there will be congestion or even stampede in front of the escalator facilities, which may directly affect the traffic efficiency. [2][3][4][5] Therefore, it is of great significance to analyze the influence of the stair/escalator/elevator selection behavior of passengers and their walking characteristics on the overall traffic at the subway platform.…”

Section: Introductionmentioning

confidence: 99%

Stair/escalator/elevator selection behavior of passengers in subway stations based on the fuzzy logic theory

et al. 2023

Self Cite

View full text Add to dashboard Cite

The behavior of stair/escalator/elevator selection of passengers at the subway platform could directly affect the travel efficiency and even the service level of the station. This paper proposes a stair/escalator/elevator selection model of passengers at the subway platform, where the cellular automata model is used to simulate passenger movement, and the fuzzy logic theory is used to describe selection behavior. The distance to the stair/escalator/elevator and the density of passengers in front of the facility are selected as the main influence factors. The rationality and effectiveness of the selection model are verified by comparing the field data with simulation results of passengers choosing different stairs/escalators/elevators. The relationship between passenger quantity, passenger speed, escalator quantity, escalator location, and the traffic rate is analyzed based on simulation results, which can provide a theoretical reference for the facility layout optimization at the platform floor of the subway station.

show abstract

Passenger Evacuation Path Planning in Subway Station Under Multiple Fires Based on Multiobjective Robust Optimization

Cited by 23 publications

References 55 publications

Analysis of Pedestrian Behavior for the Optimization of Evacuation Plans in Tall Buildings: Case Study Santiago, Chile

Analysis of Pedestrian Behavior for the Optimization of Evacuation Plans in Tall Buildings: Case Study Santiago, Chile

Analyzing Escalator Infrastructures: A Pilot Study in Santiago Metro

Stair/escalator/elevator selection behavior of passengers in subway stations based on the fuzzy logic theory

Contact Info

Product

Resources

About