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- Title
Cognitive data science methods and models for engineering applications.
- Authors
Sangaiah, Arun Kumar; Pham, Hoang; Chen, Mu-Yen; Lu, Huimin; Mercaldo, Francesco
- Abstract
In the paper, I Traffic flow guidance algorithm in intelligent transportation systems considering the effect of non i - I floating vehicle i , Chen et al. ([4]) present the method of estimating non-floating vehicles' driving information according to floating vehicles' information. The authors presented the estimation method, a new traffic flow guidance algorithm, Estimated Weighted Vehicle Density Feedback Strategy (EWVDFS) based on Weighted Vehicle Density Feedback Strategy (WVDFS). In the paper, A I robust lane detection method based on hyperbolic model i , Li et al. ([9]) investigated a robust lane detection method under structured roads. The paper I Road network i - I based region of interest mining and social relationship recommendation i by Tan and Zhang ([17]) proposed road context-based active region extraction algorithm (RAREA) which explores the method to extract the specific regions within the road network.
- Subjects
ENGINEERING models; COGNITIVE science; COGNITIVE computing; DATA science; METAHEURISTIC algorithms; SCIENTIFIC models
- Publication
Soft Computing - A Fusion of Foundations, Methodologies & Applications, 2019, Vol 23, Issue 19, p9045
- ISSN
1432-7643
- Publication type
Editorial
- DOI
10.1007/s00500-019-04262-2