November 20, 2025Buildings0 citationsOpen Access

Enhancing Evacuation Strategies for Disabled Pedestrians Using Reinforcement Learning

Optimizing Evacuation for Disabled Pedestrians with Heterogeneous Speeds: A Floor Field Cellular Automaton and Reinforcement Learning Approach

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Authors

YLYimiao Lyu HWHongchun Wang

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Overview

Simulation results show the reinforcement learning framework improves evacuation times in varied population densities, indicating better safety for those with visual impairments.

Key Points

The reinforcement learning framework significantly reduces evacuation times, enhancing safety for disabled pedestrians.
Evacuation simulations under varying population densities showed improved outcomes for individuals with visual impairments.
The study employed simulations with different occupant types to evaluate the framework's effectiveness in real scenarios.
Findings suggest integrating reinforcement learning can optimize evacuation protocols and enhance emergency responsiveness.

Cite This Study

Lyu et al. (2025) studied this question.

synapsesocial.com/papers/6924f074c0ce034ddc34fb07 https://doi.org/10.3390/buildings15224191

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November 20, 2025Buildings0 citationsOpen Access

Enhancing Evacuation Strategies for Disabled Pedestrians Using Reinforcement Learning

Optimizing Evacuation for Disabled Pedestrians with Heterogeneous Speeds: A Floor Field Cellular Automaton and Reinforcement Learning Approach

View Full Paper

Ask AI

Bookmark

Authors

YLYimiao Lyu HWHongchun Wang

Discussion

Member takes

Overview

Simulation results show the reinforcement learning framework improves evacuation times in varied population densities, indicating better safety for those with visual impairments.

Key Points

The reinforcement learning framework significantly reduces evacuation times, enhancing safety for disabled pedestrians.
Evacuation simulations under varying population densities showed improved outcomes for individuals with visual impairments.
The study employed simulations with different occupant types to evaluate the framework's effectiveness in real scenarios.
Findings suggest integrating reinforcement learning can optimize evacuation protocols and enhance emergency responsiveness.

Cite This Study

Lyu et al. (2025) studied this question.

synapsesocial.com/papers/6924f074c0ce034ddc34fb07 https://doi.org/10.3390/buildings15224191

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