Optimal Weigh-in-Motion Planning for Multiple Stakeholders

Overloaded trucks contribute heavily to road damage and increased maintenance costs, and Weigh-In-Motion (WIM) systems are an effective tool for detecting them without disrupting traffic flow. However, overloaded truck drivers often adjust their routes to avoid WIM stations, complicating enforcement efforts for road management stakeholders. To address these challenges, this study integrates the strategic behaviors of multiple stakeholders with diverse objectives into optimal WIM planning by modeling interactions among the government, pavement management agencies, and drivers. The authorities are responsible for WIM installation, while drivers minimize their respective travel costs. The proposed approach considers both road maintenance costs incurred by authorities and travel costs for drivers, based on a traffic assignment model for each WIM installation strategy. Basic concepts from game theory are adopted to formalize the dynamic interactions among these stakeholders.