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Cultural, economical, political, and social developments, added to population increases, favored the consolidation of cities. However, rapid city growth in the last decades has contrasted with the slowness in which states and municipalities responded to the new reality. In this sense, the analytic hierarchy process (AHP), a leading multiple criteria decision-making (MCDM) method, can be applied in the solution of common demands among municipalities, evaluating alternative plans for urban mobility. Since AHP has been applied to these specific decision problems, our research question is: How has AHP been applied to solve decision problems regarding urban mobility? The objective of this work is to identify the state of the art of AHP applications to urban mobility. To answer the research question, this paper presents a literature review (LR). State of the art review (SAR) is an LR approach expected to deliver results with medium comprehensiveness and results closer to exhaustive. With the support of graphical software, three clusters were identified, in the keywords network: AHP, Innovation & Public Management, and Urban Mobility. In the AHP cluster, research is driven by methodological subjects; on Innovation & Public Management, there is an open discussion on local versus national coordination; and the urban mobility cluster has hybrid or non-AHP applications of MCDM.

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Los modelos de tráfico realísticos son un requerimiento fundamental para comprender el diseño del hardware y software de red en campos como en el comportamiento de las colas, manejo de la congestión y ancho de los buffers. Se ha determinado que muchas trazas de tráfico en el mundo real son estadísticamente consistentes con modelos de tráfico autosimilares. Esto impone nuevos requerimientos en lo que a diseño de switch se refiere, especialmente en lo que respecta a las estrategias de bufferiado. En este trabajo se propone un modelo de asignación dinámica del espacio de buffer para condiciones de tráfico autosimilar y lo comparamos en términos de probabilidad de bloqueo, mediante simulación, con la política de Umbral dinámico proporcional y Umbral Estático. El Umbral de Control Dinámico propuesto ha demostrado ser más robusto para las condiciones cambiantes del tráfico autosimilar que las otras dos.