Transportation and Traffic Theory 2009: Golden Jubilee 2009
DOI: 10.1007/978-1-4419-0820-9_9
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Reliable a Priori Shortest Path Problem with Limited Spatial and Temporal Dependencies

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Cited by 52 publications
(34 citation statements)
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“…Therefore, the segment travel time is assumed to be only spatially correlated with its adjacent sections within a local 'impact area', in which the topological distance (measured by number of sections) between any two sections is less than or equal to k, namely k-limited spatial dependence. As was done in the work of Nie andWu (2009) andNikolova (2009), only travel time correlations between the neighboring sections (k = 1) are considered in this paper for illustration purpose, then Eq. (6) can be expressed as…”
Section: Travel Time Reliabilitymentioning
confidence: 98%
“…Therefore, the segment travel time is assumed to be only spatially correlated with its adjacent sections within a local 'impact area', in which the topological distance (measured by number of sections) between any two sections is less than or equal to k, namely k-limited spatial dependence. As was done in the work of Nie andWu (2009) andNikolova (2009), only travel time correlations between the neighboring sections (k = 1) are considered in this paper for illustration purpose, then Eq. (6) can be expressed as…”
Section: Travel Time Reliabilitymentioning
confidence: 98%
“…[11]). In particular, a reliability formulation of a priori shortest path problem was proposed in [11] by incorporating limited spatial dependence between adjacent links.…”
Section: Introductionmentioning
confidence: 93%
“…[11]). In particular, a reliability formulation of a priori shortest path problem was proposed in [11] by incorporating limited spatial dependence between adjacent links. It assumed that link state followed a Markov property representing the spatial correlation by transition probabilities between link states.…”
Section: Introductionmentioning
confidence: 93%
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“…Nie & Wu (2009b) studied a continuous formulation of a similar problem and proposed pseudo-polynomial approximation schemes. Recently, Nie & Wu (2009a) studied the FSD admissible path problem in a probabilistic network with limited temporal and spatial dependency. Additional objectives can be incorporated to define the "best" in a set of admissible paths, thereby providing flexibility to integrate risk preferences with other desirable routing criteria.…”
Section: Optimization Problem With Stochastic Dominance Constraintsmentioning
confidence: 99%