TY  - JOUR 
AU  - Mariñas del Collado, Irene
AU  - Sipols, Ana E.
AU  - Santos Martín, María Teresa
AU  - Frutos Bernal, Elisa
PY  - 2022
SN  - 2227-7390
UR  - http://hdl.handle.net/10366/161132
AB  - [EN]The present paper focuses on the analysis of large data sets from public transport networks, more specifically, on how to predict urban bus passenger demand. A series of steps are proposed to ease the understanding of passenger demand. First,...
LA  - eng
PB  - MDPI
KW  - Time series models
KW  - Big data
KW  - Clustering
KW  - Cointegration
KW  - Forecasting
KW  - Combination
TI  - Clustering and Forecasting Urban Bus Passenger Demand with a Combination of Time Series Models
DO  - 10.3390/math10152670
T2  - Mathematics
VL  - 10
M2  - 2670
ER  -