Trajectory Prediction: A Review of Methods and Challenges in Construction Safety

Abstract

This review focuses on methods for trajectory prediction of moving entities (i.e., pedestrian workers and heavy construction equipment) in construction. To the authors’ knowledge it is the first review on trajectory prediction devoted to construction safety. Through a bibliometric analysis of the relevant literature, it examines the input data and prediction models used for trajectory prediction in dynamic and complex construction environments. Several techniques are available to perform prediction and their performance varies widely. Various types of data is being used, however, so far v ision-based data is the major input to the models. Hence, computer-vision techniques are deployed for object tracking to infer the locations of the construction resources in almost entirely outdoor environments. This review concludes with an overview of the gaps, challenges, and future research steps for trajectory prediction relevant for researchers as well as practitioners working on reducing occupational health and safety hazards on construction sites.