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Travel Time Estimation Using Freeway Point Detector Data Based on Evolving Fuzzy Neural Inference System
Travel time is an important measurement used to evaluate the extent of congestion within road networks. This paper presents a new method to estimate the travel time based on an evolving fuzzy neural inference system. The input variables in the system are traffic flow data (volume, occupancy, and spe...
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| Vydáno v: | PLoS One |
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| Hlavní autoři: | , , , , , |
| Médium: | Artigo |
| Jazyk: | Inglês |
| Vydáno: |
Public Library of Science
2016
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| Témata: | |
| On-line přístup: | https://ncbi.nlm.nih.gov/pmc/articles/PMC4735499/ https://ncbi.nlm.nih.gov/pubmed/26829639 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1371/journal.pone.0147263 |
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