Matches in SemOpenAlex for { <https://semopenalex.org/work/W147963201> ?p ?o ?g. }
- W147963201 endingPage "62" @default.
- W147963201 startingPage "53" @default.
- W147963201 abstract "The optimization of Road Space Allocation (RSA) from a network perspective is computationally challenging. An analogue to the Network Design Problem (NDP), RSA can be classified NP-hard. In large-scale networks when the number of alternatives increases exponentially, there is a need for an efficient method to reduce the number of alternatives while keeping computer execution time of the analysis at practical levels. A heuristic based on genetic algorithms (GAs) is proposed to efficiently select Transit Priority Alternatives (TPAs). The proposed framework allows for a TPA to be analysed by a commercial package that is a significant provision for large-scale networks in practice. We explore alterative parallel processing techniques to reduce execution time: multithreading and High-Throughput Computing (HTC). Speedup and efficiency are compared with that of traditional sequential GA, and we discuss both advantages and limitations. We find that multithreading is better when using the same number of processors, but HTC provides expandability." @default.
- W147963201 created "2016-06-24" @default.
- W147963201 creator A5021264543 @default.
- W147963201 creator A5056051579 @default.
- W147963201 creator A5064767000 @default.
- W147963201 creator A5077938421 @default.
- W147963201 date "2012-01-31" @default.
- W147963201 modified "2023-09-26" @default.
- W147963201 title "Scaling up transit priority modelling using high-throughput computing" @default.
- W147963201 cites W1541691514 @default.
- W147963201 cites W1542473770 @default.
- W147963201 cites W1544329015 @default.
- W147963201 cites W1579351979 @default.
- W147963201 cites W1584428002 @default.
- W147963201 cites W1601972095 @default.
- W147963201 cites W1676470423 @default.
- W147963201 cites W1967651804 @default.
- W147963201 cites W1982011377 @default.
- W147963201 cites W2004623316 @default.
- W147963201 cites W2018388996 @default.
- W147963201 cites W2030064963 @default.
- W147963201 cites W2034172772 @default.
- W147963201 cites W2038079205 @default.
- W147963201 cites W2043211592 @default.
- W147963201 cites W2048584138 @default.
- W147963201 cites W2059278343 @default.
- W147963201 cites W2078101422 @default.
- W147963201 cites W2086554146 @default.
- W147963201 cites W2095818975 @default.
- W147963201 cites W2103803358 @default.
- W147963201 cites W2109140502 @default.
- W147963201 cites W2112354437 @default.
- W147963201 cites W2116580992 @default.
- W147963201 cites W2121178558 @default.
- W147963201 cites W2122410182 @default.
- W147963201 cites W2123134606 @default.
- W147963201 cites W2140332639 @default.
- W147963201 cites W2148317584 @default.
- W147963201 cites W2153526746 @default.
- W147963201 cites W2154010459 @default.
- W147963201 cites W2154158105 @default.
- W147963201 cites W2158322839 @default.
- W147963201 cites W2171101657 @default.
- W147963201 cites W2333015914 @default.
- W147963201 cites W2442190261 @default.
- W147963201 cites W263690854 @default.
- W147963201 cites W2903137461 @default.
- W147963201 cites W54794102 @default.
- W147963201 cites W568537268 @default.
- W147963201 cites W576662645 @default.
- W147963201 cites W635780870 @default.
- W147963201 cites W656031020 @default.
- W147963201 hasPublicationYear "2012" @default.
- W147963201 type Work @default.
- W147963201 sameAs 147963201 @default.
- W147963201 citedByCount "1" @default.
- W147963201 countsByYear W1479632012017 @default.
- W147963201 crossrefType "journal-article" @default.
- W147963201 hasAuthorship W147963201A5021264543 @default.
- W147963201 hasAuthorship W147963201A5056051579 @default.
- W147963201 hasAuthorship W147963201A5064767000 @default.
- W147963201 hasAuthorship W147963201A5077938421 @default.
- W147963201 hasConcept C106515295 @default.
- W147963201 hasConcept C111919701 @default.
- W147963201 hasConcept C120314980 @default.
- W147963201 hasConcept C121332964 @default.
- W147963201 hasConcept C138101251 @default.
- W147963201 hasConcept C154945302 @default.
- W147963201 hasConcept C157764524 @default.
- W147963201 hasConcept C173608175 @default.
- W147963201 hasConcept C173801870 @default.
- W147963201 hasConcept C201410400 @default.
- W147963201 hasConcept C2524010 @default.
- W147963201 hasConcept C2778755073 @default.
- W147963201 hasConcept C33923547 @default.
- W147963201 hasConcept C41008148 @default.
- W147963201 hasConcept C555944384 @default.
- W147963201 hasConcept C62520636 @default.
- W147963201 hasConcept C68339613 @default.
- W147963201 hasConcept C85717602 @default.
- W147963201 hasConcept C99844830 @default.
- W147963201 hasConceptScore W147963201C106515295 @default.
- W147963201 hasConceptScore W147963201C111919701 @default.
- W147963201 hasConceptScore W147963201C120314980 @default.
- W147963201 hasConceptScore W147963201C121332964 @default.
- W147963201 hasConceptScore W147963201C138101251 @default.
- W147963201 hasConceptScore W147963201C154945302 @default.
- W147963201 hasConceptScore W147963201C157764524 @default.
- W147963201 hasConceptScore W147963201C173608175 @default.
- W147963201 hasConceptScore W147963201C173801870 @default.
- W147963201 hasConceptScore W147963201C201410400 @default.
- W147963201 hasConceptScore W147963201C2524010 @default.
- W147963201 hasConceptScore W147963201C2778755073 @default.
- W147963201 hasConceptScore W147963201C33923547 @default.
- W147963201 hasConceptScore W147963201C41008148 @default.
- W147963201 hasConceptScore W147963201C555944384 @default.
- W147963201 hasConceptScore W147963201C62520636 @default.
- W147963201 hasConceptScore W147963201C68339613 @default.