Web3D-Based Lightweight Simulation for Mass Evacuation at Transportation Hubs

With urban populations soaring, subway systems have become vital arteries of transportation, necessitating robust safety measures. In light of this, the need for effective fire evacuation strategies in these complex infrastructures is both urgent and critical. Current simulation tools often struggle with the demands of large-scale modeling, particularly in real-time settings, due to computational and rendering constraints. This paper introduces an innovative approach that leverages the agility and accessibility of Web3D technology to propose a lightweight, large-scale multi-person evacuation planning algorithm specifically designed for subway stations. Our approach optimizes smoke dispersion processes and integrating advanced algorithms that account for psychological factors and environmental familiarity of individuals during emergencies. The use of Web3D technology for dynamic rendering facilitates real-time, interactive simulations of smoke and crowd dynamics, enhancing the practicality and effectiveness of fire evacuation procedures. Our experiments on subway stations have demonstrated the effectiveness of the proposed approach.

Duke Scholars

Author Feng Tian DKU Faculty