کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
1132228 | 1488995 | 2013 | 14 صفحه PDF | دانلود رایگان |
We consider the previously unsolved problem of sampling paths according to a given distribution from a general network. The problem is difficult because of the combinatorial number of alternatives, which prohibits a complete enumeration of all paths and hence also forbids to compute the normalizing constant of the sampling distribution. The problem is important because the ability to sample from a known distribution introduces mathematical rigor into many applications, including the estimation of choice models with sampling of alternatives that can be formalized as paths in a decision network (most obviously route choice), probabilistic map matching, dynamic traffic assignment, and route guidance.
► Sampling of paths according to given distributions in general networks.
► Wide range of transportation-related applications.
► Applicability to large real-world problem instances.
► Thorough experimental analysis of algorithmic correctness and efficiency.
Journal: Transportation Research Part B: Methodological - Volume 48, February 2013, Pages 53–66