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Pregled bibliografske jedinice broj: 892828

Estimation of urban mobility using public mobile network


Vidović, Krešimir; Mandžuka, Sadko; Brčić, Davor
Estimation of urban mobility using public mobile network // Proceedings of ELMAR-2017 / Muštra, Mario ; Vitas, Dijana ; Zovko-Cihlar, Branka (ur.).
Zagreb: FER, 2017. str. 21-24 doi:10.23919/ELMAR.2017.8124426 (predavanje, međunarodna recenzija, cjeloviti rad (in extenso), znanstveni)


Naslov
Estimation of urban mobility using public mobile network

Autori
Vidović, Krešimir ; Mandžuka, Sadko ; Brčić, Davor

Vrsta, podvrsta i kategorija rada
Radovi u zbornicima skupova, cjeloviti rad (in extenso), znanstveni

Izvornik
Proceedings of ELMAR-2017 / Muštra, Mario ; Vitas, Dijana ; Zovko-Cihlar, Branka - Zagreb : FER, 2017, 21-24

ISBN
978-953-184-230-3

Skup
59th International Symposium ELMAR-2017, Special session Intelligent Transport Systems

Mjesto i datum
Zadar, Hrvatska, 18-20.09.2017

Vrsta sudjelovanja
Predavanje

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
Intelligent Transport Systems, Call Data Records, Urban mobility, Mobility indicator, Urban mobility index

Sažetak
Urban mobility of the population is usually estimated using procedures focused on specific domains (transport, logistics, environment, society, etc.), Using the limited sets of domain related data and indicators related to targeted subsets of the total urban population (users of public transport, cyclists, drivers, etc.). The paper proposes a new approach for estimating the urban mobility of population based on data on telecommunication activities (voice calls, text messaging, Internet access) of users in public telecommunications networks. The paper describes the procedure for determination of indicators of urban mobility (number of trips, travel time, distance), and their values is obtained by analyzing a subset of data from mobile phone operators Call Data Records database. The presented method provides an estimate of the movement of users in order to estimate urban mobility by forming an origin destination matrix, travel time matrix and distance matrices between the respective zones. The new model for integrating urban mobility indicators into urban mobility index is proposed, by utilizing an expert system based on fuzzy-logic ANFIS method.

Izvorni jezik
Engleski

Znanstvena područja
Tehnologija prometa i transport



POVEZANOST RADA


Ustanove
Fakultet prometnih znanosti, Zagreb

Časopis indeksira:


  • Web of Science Core Collection (WoSCC)
    • Conference Proceedings Citation Index - Science (CPCI-S)
  • Scopus


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