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Cross-Asset Transportation Project Coordination with Integer Programming and Constraint Programming

Many asset management systems generate work plans for different asset components independently. Coordination of projects between different assets, such as pavement and bridge rehabilitations in the same, adjacent, or nearby locations, is often performed only on an ad hoc basis. Poorly coordinated projects might cause unnecessary traffic disruptions and increased agency costs. This paper presents two optimization models to coordinate asset projects systematically with the application of integer programming and constraint programming. The objective of the two models was to maximize the total benefits of the projects, including project benefits and coordination benefits, by rescheduling some projects subject to budget constraints and project timing constraints. The project benefits were assessed on the basis of relationship between the asset condition and the vehicle operating cost. The project coordination benefits were estimated for road users and highway agencies. An example problem was solved to improve an uncoordinated work plan consisting of 26 asset preservation projects. The results show that the two models yield the same solution and the total benefits could be increased significantly by project coordination. The models can be implemented by highway agencies to support their cross-asset management decisions.