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oai:recercat.cat:2117/3660882026-01-30T08:34:59Zcom_2072_1033col_2072_452950

Evaluation of transport events with the use of big data, artificial intelligence and augmented reality techniques Pérez Díez, Fernando Cabrerizo Sinca, Julià Roche Vallès, David Campos Cacheda, Jose Magin Universitat Politècnica de Catalunya. Doctorat en Enginyeria Civil Universitat Politècnica de Catalunya. Departament d'Enginyeria Civil i Ambiental Universitat Politècnica de Catalunya. BIT - Barcelona Innovative Transportation Àrees temàtiques de la UPC::Enginyeria civil::Infraestructures i modelització dels transports::Transport urbà Urban transportation--Mathematical models Smart cities Big Data Artificial Intelligence Augmented Reality Transport urbà -- Models matemàtics The phenomenon of "smart cities" generalizes the use of Information and Communication Technologies. The generation and use of data to manage mobility is a challenge that many cities are betting on and investing in. Through the Internet of all things (IoT) and the use of sensors and mechanisms for capturing information, the number of data analysis tools such as Big Data, Artificial Intelligence (AI), and Augmented Reality (AR) has increased. With the constant use of assisted process learning (Machine Learning), it’s possible to improve event interpretation through the customization of learning protocols. Repetitively trained software can identify relevant events and report changes in critical scenarios that can trigger a series of protocols. The use of artificial intelligence techniques makes it possible to automate monotonous processes and improve transport management. This article analyzes different technologies used to generate transport information and data validation. It is intended to experiment with the use of technologies in the detection of relevant facts, changes of state, and identification of events. It also measures the reliability level when detecting events, and studies the implementation of possible solutions into the transport management system, in order to assist in decision making processes. Postprint (published version) 2021-12 Article Pérez, F. [et al.]. Evaluation of transport events with the use of big data, artificial intelligence and augmented reality techniques. "Transportation research procedia", Desembre 2021, vol. 58, p. 173-180. 2352-1457 https://hdl.handle.net/2117/366088 10.1016/j.trpro.2021.11.024 eng https://www.sciencedirect.com/science/article/pii/S2352146521007833 © 2022. Elsevier https://creativecommons.org/licenses/by-nc-nd/4.0/ Open Access Attribution-NonCommercial-NoDerivatives 4.0 International 8 p. application/pdf Elsevier