CODE: Crowd‐optimized design of environments

Haworth, Brandon; Usman, Muhammad; Berseth, Glen; Khayatkhoei, Mahyar; Kapadia, Mubbasir; Faloutsos, Petros

doi:10.1002/cav.1749

Cited by 20 publications

(14 citation statements)

References 28 publications

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“…Evacuation routes, exits, stairways, passages, and turnstiles in rail transit stations are recognized as key facilities that directly influence evacuation route plans [15]. A crowd-aware environment design tool was proposed to analyze the optimal crowd flow-density relationships between crowd and environment [16]. e average minimum width of staircase of per person and the maximum upstairs speed were emphasized as two key parameters affecting the simulating evacuation [17].…”

Section: Literature Reviewmentioning

confidence: 99%

Emergency Evacuation Simulation and Optimization for a Complex Rail Transit Station: A Perspective of Promoting Transportation Safety

Tian

2020

Journal of Advanced Transportation

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Rail transit stations with multifloor structures have been built in many cities to intensively utilize land resources and facilitate lives of community. However, being overcrowded with passengers results in high risks during daily operation. In response, this study conducted an emergency evacuation simulation and optimization in the three-dimensional (3D) space of “complex rail transit stations” (CRTSs). The aim of the paper is to provide a methodology to determine effective emergency evacuation strategies for CRTSs. The Lianglukou Rail Transit Station in Chongqing, China, was used as a case study and the AnyLogic simulation platform employed for simulating emergency evacuations. An emergency evacuation theoretical framework was established. The emergency evacuation strategies, including evacuation routes and evacuation times, were determined based on the theoretical demonstration. Simulation and optimization of emergency evacuation in the Lianglukou station were conducted. Accordingly, four main simulation results were obtained: (1) Escalators/stairs and turnstiles are key facilities in the evacuation; (2) Effective guidance for the evacuation is necessary in the public space of the station; (3) Passenger aggregation nodes should be guided for balanced evacuation; (4) Removing metal barriers is a useful evacuation optimization measure. The proposed research method and framework can be used by other CRTSs in the establishment of emergency evacuation strategies and effective optimization strategies to promote safety of transportation system. The research findings are beneficial to passengers in helping them provide valuable emergency evacuation guidance.

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Section: Literature Reviewmentioning

confidence: 99%

Emergency Evacuation Simulation and Optimization for a Complex Rail Transit Station: A Perspective of Promoting Transportation Safety

Tian

2020

Journal of Advanced Transportation

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“…Usman et al [2018] presented an interactive architectural analysis tool to inform human-focused building designs. Interactive tools have been developed to study and evaluate the effects of pillar placements on crowd movement flows during evacuations [Haworth et al 2017].…”

Section: Simulating Human-building Interactionsmentioning

confidence: 99%

Joint Exploration and Analysis of High-Dimensional Design–Occupancy Templates

Usman

Schaumann

Haworth

et al. 2019

Motion, Interaction and Games

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D iv e r s e D e s ig n s D iv e r s e D e s ig n s D e fa u lt D e s ig n S e le c te d D e s ig n S e le c te d C r o w d Experiment 1 Experiment 2 Experiment 3 Experiment 4 Experiment 5 S e le c t D e s ig n S e le c t C r o w d F lo w = 5.16 Flow = 4.20 F lo w = 4.87 F lo w = 3 .9 8 Joint Exploration Figure 1: Experiment 1 explores diverse environment configurations using a default parameterized crowd, Experiment 2 explores a default parameterized environment against a diverse set of crowds, Experiment 3 explores the selected design from Experiment 1 using diverse crowds, Experiment 4 explores diverse environment configurations using the selected crowd from Experiment 2, and Experiment 5 jointly explores diverse environment and crowd configurations.

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“…Other recent work uses crowd simulation‐based evaluation to interactively provide feedback to building designers (e.g. [HUB*17]). [LPH*17] uses neural networks to encode the environment design, crowd distribution and steering method to predict the feasibility of the layout design, thus avoiding running full simulations and yielding faster times.…”

Section: Related Workmentioning

confidence: 99%

Urban Walkability Design Using Virtual Population Simulation

Mathew

Knob

Musse

et al. 2018

Computer Graphics Forum

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We present a system to generate a procedural environment that produces a desired crowd behaviour. Instead of altering the behavioural parameters of the crowd itself, we automatically alter the environment to yield such desired crowd behaviour. This novel inverse approach is useful both to crowd simulation in virtual environments and to urban crowd planning applications. Our approach tightly integrates and extends a space discretization crowd simulator with inverse procedural modelling. We extend crowd simulation by goal exploration (i.e. agents are initially unaware of the goal locations), variable‐appealing sign usage and several acceleration schemes. We use Markov chain Monte Carlo to quickly explore the solution space and yield interactive design. We have applied our method to a variety of virtual and real‐world locations, yielding one order of magnitude faster crowd simulation performance over related methods and several fold improvement of crowd indicators.

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CODE: Crowd‐optimized design of environments

Cited by 20 publications

References 28 publications

Emergency Evacuation Simulation and Optimization for a Complex Rail Transit Station: A Perspective of Promoting Transportation Safety

Emergency Evacuation Simulation and Optimization for a Complex Rail Transit Station: A Perspective of Promoting Transportation Safety

Joint Exploration and Analysis of High-Dimensional Design–Occupancy Templates

Urban Walkability Design Using Virtual Population Simulation

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