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A Generic Data-driven Sequential Clustering Algorithm Determining Activity Skeletons., , , , и . ANT/SEIT, том 83 из Procedia Computer Science, стр. 34-41. Elsevier, (2016)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)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, (2013)Quality assessment of location data obtained by the GPS-enabled PARROTS survey tool., , , , и . J. Locat. Based Serv., 4 (2): 93-104 (2010)An Activity Based integrated approach to model impacts of parking, hubs and new mobility concepts., , , , , , и . ANT/EDI40, том 184 из Procedia Computer Science, стр. 428-437. Elsevier, (2021)Exploring the Spatial Transferability of FEATHERS - An Activity Based Travel Demand Model - For Ho Chi Minh City, Vietnam., , , , , и . ANT/EDI40, том 151 из Procedia Computer Science, стр. 226-233. Elsevier, (2019)Implementation framework and development trajectory of FEATHERS activity-based simulation platform, , , , , и . Transportation Research Record: Journal of the Transportation Research Board, (2010)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)First steps towards a state-of-the-art parking simulator., , , , и . ANT/SEIT, том 130 из Procedia Computer Science, стр. 779-784. Elsevier, (2018)