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Optimizing copious activity type classes based on classification accuracy and entropy retention., , , , , , и . Future Gener. Comput. Syst., (2020)A Generic Data-driven Sequential Clustering Algorithm Determining Activity Skeletons., , , , и . ANT/SEIT, том 83 из Procedia Computer Science, стр. 34-41. Elsevier, (2016)Travel Demand Forecasting Using Activity-Based Modeling Framework FEATHERS: An Extension., , , , , , и . Int. J. Intell. Syst., 30 (8): 948-962 (2015)Modeling temporal and spatial variability of traffic-related air pollution: Hourly land use regression models for black carbon, , , , и . Atmospheric Environment, 74 (Supplement C): 237 - 246 (2013)Implementation framework and development trajectory of FEATHERS activity-based simulation platform, , , , , и . Transportation Research Record: Journal of the Transportation Research Board, (2010)First steps towards a state-of-the-art parking simulator., , , , и . ANT/SEIT, том 130 из Procedia Computer Science, стр. 779-784. Elsevier, (2018)Validation of Activity-based Travel Demand Model using Smart-card Data in Seoul, South Korea., , , , , , , и . ANT/SEIT, том 52 из Procedia Computer Science, стр. 707-712. Elsevier, (2015)Modeling temporal and spatial variability of traffic-related air pollution: Hourly land use regression models for black carbon, , , и . Atmospheric Environment, (2013)Toward the improvement of traffic incident management systems using Car2X technologies., , , , , и . Pers. Ubiquitous Comput., 25 (1): 163-176 (2021)Quality assessment of location data obtained by the GPS-enabled PARROTS survey tool., , , , и . J. Locat. Based Serv., 4 (2): 93-104 (2010)