Matches in SemOpenAlex for { <https://semopenalex.org/work/W2900691294> ?p ?o ?g. }
- W2900691294 endingPage "35" @default.
- W2900691294 startingPage "20" @default.
- W2900691294 abstract "There are many articles published in driving/driver behavior (DDB) but few of them have focused on DDB with big data in the literature. The reasons for this might be the lack of media coverage, data, expertise or big data perspectives. This paper presents a big data perspective for investigating the DDB based on models, data features, and experiences. For this purpose, DDB studies were reviewed and grouped into six perspectives. 6V's of big data (volume, velocity, variety, veracity, vulnerability and value) were also revised and discussed how these V's were compatible with DDB data. Finally, the use of big data in DDB analysis was discussed and some suggestions were presented. The lack of big data perception on DDB research was also overviewed and a new perspective was presented for researchers, applicants or business managers to do more effective and suitable studies in the field of big data DDB." @default.
- W2900691294 created "2018-11-29" @default.
- W2900691294 creator A5005659872 @default.
- W2900691294 creator A5059454205 @default.
- W2900691294 creator A5079580981 @default.
- W2900691294 date "2020-01-01" @default.
- W2900691294 modified "2023-10-10" @default.
- W2900691294 title "Big Data Perspective for Driver/Driving Behavior" @default.
- W2900691294 cites W1536392079 @default.
- W2900691294 cites W1617518738 @default.
- W2900691294 cites W1904701389 @default.
- W2900691294 cites W1933341771 @default.
- W2900691294 cites W1938223019 @default.
- W2900691294 cites W1952871627 @default.
- W2900691294 cites W1967258612 @default.
- W2900691294 cites W1969901663 @default.
- W2900691294 cites W1972441921 @default.
- W2900691294 cites W1975416282 @default.
- W2900691294 cites W1987654648 @default.
- W2900691294 cites W1991801742 @default.
- W2900691294 cites W1993837778 @default.
- W2900691294 cites W1996335363 @default.
- W2900691294 cites W2000840273 @default.
- W2900691294 cites W2015255465 @default.
- W2900691294 cites W2038831190 @default.
- W2900691294 cites W2049689016 @default.
- W2900691294 cites W2052080463 @default.
- W2900691294 cites W2052123415 @default.
- W2900691294 cites W2070915356 @default.
- W2900691294 cites W2072344378 @default.
- W2900691294 cites W2076937857 @default.
- W2900691294 cites W2081084776 @default.
- W2900691294 cites W2084246939 @default.
- W2900691294 cites W2086461263 @default.
- W2900691294 cites W2109797278 @default.
- W2900691294 cites W2115615663 @default.
- W2900691294 cites W2126623642 @default.
- W2900691294 cites W2128060716 @default.
- W2900691294 cites W2129367100 @default.
- W2900691294 cites W2129753516 @default.
- W2900691294 cites W2131715540 @default.
- W2900691294 cites W2132430805 @default.
- W2900691294 cites W2139203131 @default.
- W2900691294 cites W2158982843 @default.
- W2900691294 cites W2159128662 @default.
- W2900691294 cites W2164637360 @default.
- W2900691294 cites W2169060624 @default.
- W2900691294 cites W2170003873 @default.
- W2900691294 cites W2172717914 @default.
- W2900691294 cites W2174602916 @default.
- W2900691294 cites W2176240313 @default.
- W2900691294 cites W2308230922 @default.
- W2900691294 cites W2317217600 @default.
- W2900691294 cites W2339444104 @default.
- W2900691294 cites W2415264695 @default.
- W2900691294 cites W2428938247 @default.
- W2900691294 cites W2468121020 @default.
- W2900691294 cites W2527707434 @default.
- W2900691294 cites W2532324861 @default.
- W2900691294 cites W2547705281 @default.
- W2900691294 cites W2548996103 @default.
- W2900691294 cites W2563754912 @default.
- W2900691294 cites W2566837273 @default.
- W2900691294 cites W2581931830 @default.
- W2900691294 cites W2587912929 @default.
- W2900691294 cites W2595033228 @default.
- W2900691294 cites W2606851531 @default.
- W2900691294 cites W2679723396 @default.
- W2900691294 cites W2746261623 @default.
- W2900691294 cites W2783469255 @default.
- W2900691294 cites W2963535483 @default.
- W2900691294 cites W2963692464 @default.
- W2900691294 cites W4229726281 @default.
- W2900691294 doi "https://doi.org/10.1109/mits.2018.2879220" @default.
- W2900691294 hasPublicationYear "2020" @default.
- W2900691294 type Work @default.
- W2900691294 sameAs 2900691294 @default.
- W2900691294 citedByCount "13" @default.
- W2900691294 countsByYear W29006912942018 @default.
- W2900691294 countsByYear W29006912942020 @default.
- W2900691294 countsByYear W29006912942021 @default.
- W2900691294 countsByYear W29006912942022 @default.
- W2900691294 countsByYear W29006912942023 @default.
- W2900691294 crossrefType "journal-article" @default.
- W2900691294 hasAuthorship W2900691294A5005659872 @default.
- W2900691294 hasAuthorship W2900691294A5059454205 @default.
- W2900691294 hasAuthorship W2900691294A5079580981 @default.
- W2900691294 hasConcept C124101348 @default.
- W2900691294 hasConcept C12713177 @default.
- W2900691294 hasConcept C136197465 @default.
- W2900691294 hasConcept C154945302 @default.
- W2900691294 hasConcept C15744967 @default.
- W2900691294 hasConcept C169760540 @default.
- W2900691294 hasConcept C202444582 @default.
- W2900691294 hasConcept C2522767166 @default.
- W2900691294 hasConcept C26760741 @default.
- W2900691294 hasConcept C33923547 @default.
- W2900691294 hasConcept C38652104 @default.