Understanding how cells migrate in fibrous environments is important in wound healing, immune function, and cancer progression. A key question is how fiber orientation and network geometry influence cell movement. Here we describe a quantitative, modeling-based approach toward identifying the mechanisms by which cellsmigrate in fibrous geometries having well controlled orientation. Specifically,U251 glioblastoma cells were seeded onto non-electrospinning Spinneret based tunable engineering parameters fiber substrates that consist of networks of suspended 400 nm diameter nanofibers. Cells were classified based on the local fiber geometry and cell migration dynamics observed by lightmicroscopy. Cells were found in three distinct geometries: adhering two a single fiber, adhering to two parallel fibers, and adhering to a network of orthogonal fibers. Cells adhering to a single fiber or two parallel fibers can onlymove in one dimension along the fiber axis,whereas cells on a network of orthogonal fibers can move in two dimensions. We found that cellsmove faster andmore persistently in 1Dgeometries than in 2D, with cell migration being faster on parallel fibers than on single fibers. To explain these behaviors mechanistically, we simulated cellmigration in the three different geometries using a motor-clutch based model for cell traction forces. Using nearly identical parameter sets for each of the three cases,we found that the simulated cells naturally replicated the reduced migration in 2Drelative to 1Dgeometries. In addition, themodestly faster 1D migration on parallel fibers relative to single fiberswas captured using a correspondingly modest increase in the number of clutches to reflect increased surface area of adhesion on parallel fibers. Overall, the integrated modeling and experimental analysis shows that cellmigration in response to varying fibrous geometries can be explained by a simple mechanical readout of geometry via a motor-clutch mechanism. [ABSTRACT FROM AUTHOR]