Pregled bibliografske jedinice broj: 1196694
Application of Big Data Sets and Data Science in Transportation Engineering
Application of Big Data Sets and Data Science in Transportation Engineering // New Technologies, Development and Application V / Karabegović, Isak ; Kovačević, Ahmed ; Mandžuka, Sadko (ur.).
Cham: Springer, 2022. str. 615-623 doi:10.1007/978-3-031-05230-9_74 (pozvano predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)
CROSBI ID: 1196694 Za ispravke kontaktirajte CROSBI podršku putem web obrasca
Naslov
Application of Big Data Sets and Data Science in
Transportation Engineering
Autori
Vidović, Krešimir
Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni
Izvornik
New Technologies, Development and Application V
/ Karabegović, Isak ; Kovačević, Ahmed ; Mandžuka, Sadko - Cham : Springer, 2022, 615-623
ISBN
978-3-031-05229-3
Skup
8th International Conference "New Technologies, Development and Applications" (NT-2022)
Mjesto i datum
Sarajevo, Bosna i Hercegovina, 23.06.2022. - 25.06.2022
Vrsta sudjelovanja
Pozvano predavanje
Vrsta recenzije
Međunarodna recenzija
Ključne riječi
Big data, Data science, Intelligent transport systems
Sažetak
The development and application of information and communication technologies (ICT) have started an era of big data. Big data sets originating from mobile telecommunication networks, besides their primary purpose within the telecom environment, are becoming more popular in other application areas such as transportation engineering. Existing research have proven that analytics of such data, by using data science methodology and tools can be used to draw a complete and representative picture of urban migrations and mobility assessment. The application of this analytics is used in transportation planning, transportation management and for improvements in traffic safety. Further developments in both communication technology and data science indicates that real application of mobile network data, especially as a substitute for traditional measurements have great potential that needs to be exploited.
Izvorni jezik
Engleski
Znanstvena područja
Tehnologija prometa i transport
Napomena
Part of the Lecture Notes in Networks and Systems book series (LNNS, volume 472)
POVEZANOST RADA
Ustanove:
Ericsson Nikola Tesla d.d.,
Fakultet prometnih znanosti, Zagreb
Profili:
Krešimir Vidović
(autor)
Citiraj ovu publikaciju:
Časopis indeksira:
- Scopus