Matches in SemOpenAlex for { <https://semopenalex.org/work/W3100655688> ?p ?o ?g. }
Showing items 1 to 71 of
71
with 100 items per page.
- W3100655688 endingPage "201344" @default.
- W3100655688 startingPage "201331" @default.
- W3100655688 abstract "During the last few years, information technology and transportation industries, along with automotive manufacturers and academia, are focusing on leveraging intelligent transportation systems (ITS) to improve services related to driver experience, connected cars, Internet data plans for vehicles, traffic infrastructure, urban transportation systems, traffic collaborative management, road traffic accidents analysis, road traffic flow prediction, public transportation service plan, personal travel route plans, and the development of an effective ecosystem for vehicles, drivers, traffic controllers, city planners, and transportation applications. Moreover, the emerging technologies of the Internet of Things (IoT) and cloud computing have provided unprecedented opportunities for the development and realization of innovative intelligent transportation systems where sensors and mobile devices can gather information and cloud computing, allowing knowledge discovery, information sharing, and supported decision making. However, the development of such data-driven ITS requires the integration, processing, and analysis of plentiful information obtained from millions of vehicles, traffic infrastructures, smartphones, and other collaborative systems like weather stations and road safety and early warning systems. The huge amount of data generated by ITS devices is only of value if utilized in data analytics for decision-making such as accident prevention and detection, controlling road risks, reducing traffic carbon emissions, and other applications which bring big data analytics into the picture." @default.
- W3100655688 created "2020-11-23" @default.
- W3100655688 creator A5001804455 @default.
- W3100655688 creator A5005050397 @default.
- W3100655688 creator A5005432053 @default.
- W3100655688 creator A5007596905 @default.
- W3100655688 creator A5028296559 @default.
- W3100655688 creator A5040302830 @default.
- W3100655688 date "2020-01-01" @default.
- W3100655688 modified "2023-10-16" @default.
- W3100655688 title "IEEE Access Special Section Editorial: Big Data Technology and Applications in Intelligent Transportation" @default.
- W3100655688 cites W2802508687 @default.
- W3100655688 cites W2963103668 @default.
- W3100655688 doi "https://doi.org/10.1109/access.2020.3035440" @default.
- W3100655688 hasPublicationYear "2020" @default.
- W3100655688 type Work @default.
- W3100655688 sameAs 3100655688 @default.
- W3100655688 citedByCount "12" @default.
- W3100655688 countsByYear W31006556882021 @default.
- W3100655688 countsByYear W31006556882022 @default.
- W3100655688 countsByYear W31006556882023 @default.
- W3100655688 crossrefType "journal-article" @default.
- W3100655688 hasAuthorship W3100655688A5001804455 @default.
- W3100655688 hasAuthorship W3100655688A5005050397 @default.
- W3100655688 hasAuthorship W3100655688A5005432053 @default.
- W3100655688 hasAuthorship W3100655688A5007596905 @default.
- W3100655688 hasAuthorship W3100655688A5028296559 @default.
- W3100655688 hasAuthorship W3100655688A5040302830 @default.
- W3100655688 hasBestOaLocation W31006556881 @default.
- W3100655688 hasConcept C111919701 @default.
- W3100655688 hasConcept C127413603 @default.
- W3100655688 hasConcept C22212356 @default.
- W3100655688 hasConcept C2522767166 @default.
- W3100655688 hasConcept C41008148 @default.
- W3100655688 hasConcept C42693407 @default.
- W3100655688 hasConcept C47796450 @default.
- W3100655688 hasConcept C75684735 @default.
- W3100655688 hasConcept C79158427 @default.
- W3100655688 hasConcept C79974875 @default.
- W3100655688 hasConceptScore W3100655688C111919701 @default.
- W3100655688 hasConceptScore W3100655688C127413603 @default.
- W3100655688 hasConceptScore W3100655688C22212356 @default.
- W3100655688 hasConceptScore W3100655688C2522767166 @default.
- W3100655688 hasConceptScore W3100655688C41008148 @default.
- W3100655688 hasConceptScore W3100655688C42693407 @default.
- W3100655688 hasConceptScore W3100655688C47796450 @default.
- W3100655688 hasConceptScore W3100655688C75684735 @default.
- W3100655688 hasConceptScore W3100655688C79158427 @default.
- W3100655688 hasConceptScore W3100655688C79974875 @default.
- W3100655688 hasLocation W31006556881 @default.
- W3100655688 hasLocation W31006556882 @default.
- W3100655688 hasLocation W31006556883 @default.
- W3100655688 hasOpenAccess W3100655688 @default.
- W3100655688 hasPrimaryLocation W31006556881 @default.
- W3100655688 hasRelatedWork W3097243301 @default.
- W3100655688 hasRelatedWork W3114771222 @default.
- W3100655688 hasRelatedWork W4200020201 @default.
- W3100655688 hasRelatedWork W4200184607 @default.
- W3100655688 hasRelatedWork W4214869855 @default.
- W3100655688 hasRelatedWork W4221142315 @default.
- W3100655688 hasRelatedWork W4287605407 @default.
- W3100655688 hasRelatedWork W4298211017 @default.
- W3100655688 hasRelatedWork W4353087293 @default.
- W3100655688 hasRelatedWork W4385451292 @default.
- W3100655688 hasVolume "8" @default.
- W3100655688 isParatext "false" @default.
- W3100655688 isRetracted "false" @default.
- W3100655688 magId "3100655688" @default.
- W3100655688 workType "article" @default.