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Estimation of urban mobility using public mobile network (CROSBI ID 651861)

Prilog sa skupa u zborniku | izvorni znanstveni rad | međunarodna recenzija

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: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu, 2017. str. 21-24 doi: 10.23919/ELMAR.2017.8124426

Podaci o odgovornosti

Vidović, Krešimir ; Mandžuka, Sadko ; Brčić, Davor

engleski

Estimation of urban mobility using public mobile network

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.

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

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Podaci o prilogu

21-24.

2017.

objavljeno

10.23919/ELMAR.2017.8124426

Podaci o matičnoj publikaciji

Proceedings of ELMAR-2017

Muštra, Mario ; Vitas, Dijana ; Zovko-Cihlar, Branka

Zagreb: Fakultet elektrotehnike i računarstva Sveučilišta u Zagrebu

978-953-184-230-3

1334-2630

Podaci o skupu

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

predavanje

18.09.2017-20.09.2017

Zadar, Hrvatska

Povezanost rada

Tehnologija prometa i transport

Poveznice
Indeksiranost