Development of Multi-agent Simulation Model Using Traffic Behavior Data Considering Demographic Attributes and Individual Preferences for Quantitative Evaluation of Bridge Importance

Abstract

As aging infrastructure becomes a growing concern, prioritizing bridge maintenance is crucial, especially for municipalities with limited resources. This study develops a multi-agent simulation model to evaluate the importance of aging bridges, supporting the triage process in bridge maintenance. The simulation model replicates the traffic behavior of residents, which is estimated using Simulated Annealing with actual traffic data. By comparing scenarios where specific bridges are removed, the model quantitatively assesses the impact on residents' travel behavior. The comparison results provide bridge managers with a resident-focused perspective, aiding in more informed triage decisions.