Exploiting Semantic Trajectories Using HMMs and BIM for Worker Safety in Dynamic Environments

Abstract

Understanding dynamic behaviors of moving objects using positioning technologies for construction safety monitoring is still an open research issue. One task; that is a small subset in the widespread field of objects dynamics is the enrichment of the location data of users with the semantic information for studying their mobility patterns in the context of the environment. However, incorporating the semantics related to the environment gets complex in case of the dynamic construction sites where the site spaces are kept evolving with time. For instance, new walls and infrastructure supports are added often on sites, while others are detached. Similar situations open more challenges to keep track of the changes in the attributes of the locations which involve with time for integrating semantics into the location data. Eventually, such changes to the site' locations will result in different user mobility patterns. For capturing the semantics of a dynamic environment and then understanding the user mobility patterns, a system is proposed based on semantic trajectories and Hidden Markov Model (HMM). In the end, Building Information Modeling (BIM) approach is used for visualizing the most probable user movements to help safety managers in monitoring site activities remotely by preventing other workforce from accessing such hazardous locations that involve unsafe movements.