FRINK Linked Data Fragments server

Matches in SemOpenAlex for { <https://semopenalex.org/work/W2887317966> ?p ?o ?g. }

• W2887317966 endingPage "094030" @default.
• W2887317966 startingPage "094030" @default.
• W2887317966 abstract "Abstract Traffic-related air quality issues remain in urban areas worldwide. For this reason, there is an increasing need to estimate the contribution of road traffic to atmospheric emissions at local level with high temporal and spatial resolution. Modal models compute emission rates as a function of specific engine or vehicle operating conditions at the highest resolution (seconds). They can be applied for microscale studies being a cost-effective tool to emulate differences in emissions levels in road networks. Two modal emission models, the Australian PΔP (Power-delta-Power) and the simplified version of the European PHEM (Passenger Car and Heavy-duty Emission Model), PHEM-light model, have been used. Also, a comparison to the cycle-variable emission model VERSIT+ micro (Netherlands organisation for applied scientific research state of the art traffic emission model) has been performed. For the comparison of both modal models, the main variables involved in traffic emission calculation were identified. 1 Hz speed-time profiles for individual vehicles were generated with the traffic microsimulation model VISSIM (Vehrkehr in Statden SIMulation) for different traffic conditions. To understand the response of modal models, detailed estimations of NO X emissions and fuel consumption were compared for different vehicle classes. Instantaneous emission profiles for individual driving patterns are highly sensitive to speed-acceleration profiles, vehicle mass, and road gradient, which are essential variables for the emission calculation. Although there are differences between European and Australian models, engine power and load were used to map vehicle classes for a more consistent comparison. It is essential to accurately define these parameters for each vehicle class in addition to detailed driving patterns to obtain high-resolution emissions estimates. In this sense, a larger number of vehicle classes included in the model provides more flexibility to develop representative emissions estimates. Emission predictions between modal models were reasonably consistent presenting larger differences with the cycle-variable model, despite both modal models being based on different on-road fleet measurements. In conclusion, analysing emission estimations for different traffic conditions demonstrates the importance of an accurate definition of the model parameters for a specific vehicle fleet." @default.
• W2887317966 created "2018-08-22" @default.
• W2887317966 creator A5042525494 @default.
• W2887317966 creator A5055068287 @default.
• W2887317966 creator A5061184977 @default.
• W2887317966 creator A5074021146 @default.
• W2887317966 date "2022-09-01" @default.
• W2887317966 modified "2023-10-04" @default.
• W2887317966 title "Comparison of microscale traffic emission models for urban networks" @default.
• W2887317966 cites W1561324350 @default.
• W2887317966 cites W1966360739 @default.
• W2887317966 cites W1967976660 @default.
• W2887317966 cites W1969134026 @default.
• W2887317966 cites W1984541800 @default.
• W2887317966 cites W1998389262 @default.
• W2887317966 cites W2020652292 @default.
• W2887317966 cites W2045492180 @default.
• W2887317966 cites W2048193553 @default.
• W2887317966 cites W2071942861 @default.
• W2887317966 cites W2074079466 @default.
• W2887317966 cites W2087027725 @default.
• W2887317966 cites W2093790418 @default.
• W2887317966 cites W2132748629 @default.
• W2887317966 cites W2146834480 @default.
• W2887317966 cites W2153479969 @default.
• W2887317966 cites W2306831434 @default.
• W2887317966 cites W2400537882 @default.
• W2887317966 cites W2410052613 @default.
• W2887317966 cites W2546325081 @default.
• W2887317966 cites W2560454503 @default.
• W2887317966 cites W2579525185 @default.
• W2887317966 cites W2619226842 @default.
• W2887317966 cites W2771762767 @default.
• W2887317966 cites W2803070767 @default.
• W2887317966 cites W2904819850 @default.
• W2887317966 cites W2911521934 @default.
• W2887317966 cites W3134861549 @default.
• W2887317966 cites W42016511 @default.
• W2887317966 cites W4253177973 @default.
• W2887317966 cites W600444827 @default.
• W2887317966 doi "https://doi.org/10.1088/1748-9326/ac8b21" @default.
• W2887317966 hasPublicationYear "2022" @default.
• W2887317966 type Work @default.
• W2887317966 sameAs 2887317966 @default.
• W2887317966 citedByCount "3" @default.
• W2887317966 countsByYear W28873179662023 @default.
• W2887317966 crossrefType "journal-article" @default.
• W2887317966 hasAuthorship W2887317966A5042525494 @default.
• W2887317966 hasAuthorship W2887317966A5055068287 @default.
• W2887317966 hasAuthorship W2887317966A5061184977 @default.
• W2887317966 hasAuthorship W2887317966A5074021146 @default.
• W2887317966 hasBestOaLocation W28873179661 @default.
• W2887317966 hasConcept C127413603 @default.
• W2887317966 hasConcept C145420912 @default.
• W2887317966 hasConcept C153294291 @default.
• W2887317966 hasConcept C171146098 @default.
• W2887317966 hasConcept C179428855 @default.
• W2887317966 hasConcept C185592680 @default.
• W2887317966 hasConcept C188027245 @default.
• W2887317966 hasConcept C205649164 @default.
• W2887317966 hasConcept C22212356 @default.
• W2887317966 hasConcept C2775988433 @default.
• W2887317966 hasConcept C2778391309 @default.
• W2887317966 hasConcept C2780015235 @default.
• W2887317966 hasConcept C33923547 @default.
• W2887317966 hasConcept C39432304 @default.
• W2887317966 hasConcept C41008148 @default.
• W2887317966 hasConcept C45882903 @default.
• W2887317966 hasConcept C71139939 @default.
• W2887317966 hasConceptScore W2887317966C127413603 @default.
• W2887317966 hasConceptScore W2887317966C145420912 @default.
• W2887317966 hasConceptScore W2887317966C153294291 @default.
• W2887317966 hasConceptScore W2887317966C171146098 @default.
• W2887317966 hasConceptScore W2887317966C179428855 @default.
• W2887317966 hasConceptScore W2887317966C185592680 @default.
• W2887317966 hasConceptScore W2887317966C188027245 @default.
• W2887317966 hasConceptScore W2887317966C205649164 @default.
• W2887317966 hasConceptScore W2887317966C22212356 @default.
• W2887317966 hasConceptScore W2887317966C2775988433 @default.
• W2887317966 hasConceptScore W2887317966C2778391309 @default.
• W2887317966 hasConceptScore W2887317966C2780015235 @default.
• W2887317966 hasConceptScore W2887317966C33923547 @default.
• W2887317966 hasConceptScore W2887317966C39432304 @default.
• W2887317966 hasConceptScore W2887317966C41008148 @default.
• W2887317966 hasConceptScore W2887317966C45882903 @default.
• W2887317966 hasConceptScore W2887317966C71139939 @default.
• W2887317966 hasFunder F4320313831 @default.
• W2887317966 hasFunder F4320338337 @default.
• W2887317966 hasIssue "9" @default.
• W2887317966 hasLocation W28873179661 @default.
• W2887317966 hasLocation W28873179662 @default.
• W2887317966 hasLocation W28873179663 @default.
• W2887317966 hasOpenAccess W2887317966 @default.
• W2887317966 hasPrimaryLocation W28873179661 @default.
• W2887317966 hasRelatedWork W11917985 @default.
• W2887317966 hasRelatedWork W1593638715 @default.
• W2887317966 hasRelatedWork W2168816775 @default.
• W2887317966 hasRelatedWork W2811281965 @default.

• next