Footnote:
Nach Informationen von SSRN wurde die ursprüngliche Fassung des Dokuments September 30, 2021 erstellt
Description:
Designing infrastructure is a key part of urban planning. Infrastructure design design decisions typically have to be made when the demand that the infrastructure needs to support is uncertain. One way to represent uncertain demand in optimization models is by means of possible realizations or scenarios. Using many scenarios is likely to produce better solutions but also creates computational challenges. We propose an approach that blends solutions, each obtained using an optimization model with relatively few scenarios. We explore this approach in the context of locating dedicated truck platoon lanes. A truck platoon is a set of trucks that drive behind one another at short headways to save fuel, reduce emissions, and improve traffic throughput. The use of dedicated platoon lanes helps prevent potentially dangerous situations when interacting with regular traffic. Furthermore, dedicated platooning lanes can help increase platooning benefits and prolong the life of infrastructure. Computational experiments show the efficacy of our blending approach. Blending designs obtained with a few scenarios is as effective, but much more efficient, as creating a design using many scenarios