Matches in SemOpenAlex for { <https://semopenalex.org/work/W4220951625> ?p ?o ?g. }
Showing items 1 to 85 of
85
with 100 items per page.
- W4220951625 endingPage "10" @default.
- W4220951625 startingPage "1" @default.
- W4220951625 abstract "The complexity analysis of traffic flow is important for understanding the property of traffic system. Being good at analyzing the regularity and complexity, multiscale SamEn has attracted much attention and many methods have been proposed for complexity analysis of traffic flow. However, there may exist discontinuity of the calculated entropy value which makes the regularity of the traffic system difficult to understand. The phenomenon occurs due to an inappropriate selection of the parameter r in the multiscale SamEn. Moreover, it is difficult to select an appropriate r for the accurate evaluation of the complexity, which limits the application of multiscale entropy for traffic flow analysis. To solve this problem, a new entropy-based method, multiscale symbolic dynamic entropy, for evaluating the traffic system is proposed here. To verify the effectiveness of the proposed method, traffic data collected from stations in different cities are preprocessed by the proposed method. Both results of two cases show that the weekend patterns and weekday patterns are effectively distinguished using the proposed method, respectively. Specifically, compared with the traditional methods including multiscale SamEn and the multiscale modified SamEn, the complexity of the corresponding traffic system can be better evaluated without considering the selection of r, which demonstrates the effectiveness of the proposed method." @default.
- W4220951625 created "2022-04-03" @default.
- W4220951625 creator A5014528965 @default.
- W4220951625 creator A5033482195 @default.
- W4220951625 creator A5049895041 @default.
- W4220951625 creator A5054780614 @default.
- W4220951625 date "2022-03-30" @default.
- W4220951625 modified "2023-09-26" @default.
- W4220951625 title "A Multiscale Symbolic Dynamic Entropy Analysis of Traffic Flow" @default.
- W4220951625 cites W1798398164 @default.
- W4220951625 cites W1998529922 @default.
- W4220951625 cites W2003228697 @default.
- W4220951625 cites W2005436527 @default.
- W4220951625 cites W2028217197 @default.
- W4220951625 cites W2046861029 @default.
- W4220951625 cites W2049176600 @default.
- W4220951625 cites W2068891772 @default.
- W4220951625 cites W2070083046 @default.
- W4220951625 cites W2074189988 @default.
- W4220951625 cites W2093266575 @default.
- W4220951625 cites W2112024851 @default.
- W4220951625 cites W2119826175 @default.
- W4220951625 cites W2164274563 @default.
- W4220951625 cites W2280014120 @default.
- W4220951625 cites W2469750762 @default.
- W4220951625 cites W2594736882 @default.
- W4220951625 cites W3022375844 @default.
- W4220951625 cites W3089856079 @default.
- W4220951625 cites W3118408813 @default.
- W4220951625 cites W3124055213 @default.
- W4220951625 cites W3127103053 @default.
- W4220951625 cites W3130259230 @default.
- W4220951625 cites W3146126094 @default.
- W4220951625 cites W3159502203 @default.
- W4220951625 cites W3163897359 @default.
- W4220951625 cites W3210494796 @default.
- W4220951625 doi "https://doi.org/10.1155/2022/8389229" @default.
- W4220951625 hasPublicationYear "2022" @default.
- W4220951625 type Work @default.
- W4220951625 citedByCount "0" @default.
- W4220951625 crossrefType "journal-article" @default.
- W4220951625 hasAuthorship W4220951625A5014528965 @default.
- W4220951625 hasAuthorship W4220951625A5033482195 @default.
- W4220951625 hasAuthorship W4220951625A5049895041 @default.
- W4220951625 hasAuthorship W4220951625A5054780614 @default.
- W4220951625 hasBestOaLocation W42209516251 @default.
- W4220951625 hasConcept C106301342 @default.
- W4220951625 hasConcept C11413529 @default.
- W4220951625 hasConcept C121332964 @default.
- W4220951625 hasConcept C124101348 @default.
- W4220951625 hasConcept C134306372 @default.
- W4220951625 hasConcept C2777042112 @default.
- W4220951625 hasConcept C33923547 @default.
- W4220951625 hasConcept C41008148 @default.
- W4220951625 hasConcept C62520636 @default.
- W4220951625 hasConcept C80444323 @default.
- W4220951625 hasConceptScore W4220951625C106301342 @default.
- W4220951625 hasConceptScore W4220951625C11413529 @default.
- W4220951625 hasConceptScore W4220951625C121332964 @default.
- W4220951625 hasConceptScore W4220951625C124101348 @default.
- W4220951625 hasConceptScore W4220951625C134306372 @default.
- W4220951625 hasConceptScore W4220951625C2777042112 @default.
- W4220951625 hasConceptScore W4220951625C33923547 @default.
- W4220951625 hasConceptScore W4220951625C41008148 @default.
- W4220951625 hasConceptScore W4220951625C62520636 @default.
- W4220951625 hasConceptScore W4220951625C80444323 @default.
- W4220951625 hasLocation W42209516251 @default.
- W4220951625 hasOpenAccess W4220951625 @default.
- W4220951625 hasPrimaryLocation W42209516251 @default.
- W4220951625 hasRelatedWork W1993930986 @default.
- W4220951625 hasRelatedWork W2033506245 @default.
- W4220951625 hasRelatedWork W2347219288 @default.
- W4220951625 hasRelatedWork W2366221835 @default.
- W4220951625 hasRelatedWork W2373862588 @default.
- W4220951625 hasRelatedWork W2386767533 @default.
- W4220951625 hasRelatedWork W3159304776 @default.
- W4220951625 hasRelatedWork W4288046758 @default.
- W4220951625 hasRelatedWork W2687894048 @default.
- W4220951625 hasRelatedWork W902694187 @default.
- W4220951625 hasVolume "2022" @default.
- W4220951625 isParatext "false" @default.
- W4220951625 isRetracted "false" @default.
- W4220951625 workType "article" @default.