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Uncertainty is one of the major factors that transportation system analysts and planners have to deal with when making transportation planning decisions. Finding the set of optimal sensor locations under uncertainty is a network design problem. This paper presents a nonlinear two-stage stochastic model. The first stage provides a sensor location plan to maximize the origin–destination (OD) flow coverage...
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