Robust Shortest Path Problem With Distributional Uncertainty
| Autor: | Shiji Song, Yuli Zhang, Cheng Wu, Zuo-Jun Max Shen |
|---|---|
| Rok vydání: | 2018 |
| Předmět: |
050210 logistics & transportation
Mathematical optimization 021103 operations research Covariance matrix Mechanical Engineering 05 social sciences 0211 other engineering and technologies 02 engineering and technology Upper and lower bounds Longest path problem Computer Science Applications Euclidean shortest path Shortest Path Faster Algorithm Robustness (computer science) 0502 economics and business Automotive Engineering Shortest path problem Constrained Shortest Path First Mathematics |
| Zdroj: | IEEE Transactions on Intelligent Transportation Systems. 19:1080-1090 |
| ISSN: | 1558-0016 1524-9050 |
| DOI: | 10.1109/tits.2017.2709798 |
| Popis: | Routing service considering uncertainty is at the core of intelligent transportation systems and has attracted increasing attention. Existing stochastic shortest path models require the exact probability distributions of travel times and usually assume that they are independent. However, the distributions are often unavailable or inaccurate due to insufficient data, and correlation of travel times over different links has been observed. This paper presents a robust shortest path (RSP) model that only requires partial distribution information of travel times, including the support set, mean, variance, and correlation matrix. We introduce a concept of robust mean-excess travel time to hedge against the risk from both the uncertainty of the random travel times and the uncertainty in their distributions. To solve the RSP problem, an equivalent dual formulation is derived and used to design tight lower and upper bound approximation methods, which adopt the scenario approach and semi-definite programming approach, respectively. To solve large problems, we further propose an efficient primal approximation method, which only needs to solve two deterministic shortest path problems and a mean-standard deviation shortest path problem, and analyze its approximation performance. Experiments validate the tightness of the proposed bounds and demonstrate the impact of uncertainty on the relative benefit and cost of robust paths. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|