TY - JOUR AU - Lozano Murciego, Álvaro AU - De Paz, Juan F. AU - Villarubia González, Gabriel AU - Hernández de la Iglesia, Daniel AU - Bajo Pérez, Javier PY - 2018 SN - 2076-3417 UR - http://hdl.handle.net/10366/145850 AB - [EN] This paper proposes a multi agent system that provides visualization and prediction tools for bike sharing systems (BSS). The presented multi-agent system includes an agent that performs data collection and cleaning processes, it is also capable... LA - eng KW - Bike sharing systems (BSS) KW - Regression models KW - Open data KW - Data visualization KW - Multi agent systems KW - Organizations and institutions KW - Socio-technical systems TI - Multi-Agent System for Demand Prediction and Trip Visualization in Bike Sharing Systems DO - 10.3390/app8010067 T2 - Applied Sciences VL - 8 M2 - 67 ER -