Aguilar Igartua, MónicaAlmenares Mendoza, FlorinaDiaz Redondo, Rebeca P.Martin Vicente, Manuela I.Forne, JordiCampo Vázquez, María CelesteFernandez Vilas, AnaDe La Cruz Llopis, Luis J.García Rubio, CarlosMarín López, AndrésMohamed Mezher, AhmadDíaz Sánchez, DanielCerezo Costas, HectorRebollo Monedero, DavidArias Cabarcos, PatriciaRico Novella, Francisco Jose2021-12-142021-12-142020-04-13Igartua, M. A., Mendoza, F. A., Redondo, R. P. D., Vicente, M. I. M., Forne, J., Campo, C., Fernandez-Vilas, A., de la Cruz Llopis, L. J., Garcia-Rubio, C., Lopez, A. M., Mezher, A. M., Diaz-Sanchez, D., Cerezo-Costas, H., Rebollo-Monedero, D., Arias-Cabarcos, P. & Rico-Novella, F. J. (2020). INRISCO: INcident monitoRing in Smart COmmunities. IEEE Access, 8, 72435–72460.2169-3536https://hdl.handle.net/10016/33761Major advances in information and communication technologies (ICTs) make citizens to be considered as sensors in motion. Carrying their mobile devices, moving in their connected vehicles or actively participating in social networks, citizens provide a wealth of information that, after properly processing, can support numerous applications for the benefit of the community. In the context of smart communities, the INRISCO [1] proposal intends for (i) the early detection of abnormal situations in cities (i.e., incidents), (ii) the analysis of whether, according to their impact, those incidents are really adverse for the community; and (iii) the automatic actuation by dissemination of appropriate information to citizens and authorities. Thus, INRISCO will identify and report on incidents in traffic (jam, accident) or public infrastructure (e.g., works, street cut), the occurrence of specific events that affect other citizens' life (e.g., demonstrations, concerts), or environmental problems (e.g., pollution, bad weather). It is of particular interest to this proposal the identification of incidents with a social and economic impact, which affects the quality of life of citizens.26eng© The authors, 2020. This work is licensed under a Creative Commons Attribution 4.0 License.Early detection of incidentsSmart citiesVehicular communicationsBigData analysisSocial networksCitizen sensorresearch articleTelecomunicacioneshttps://doi.org/10.1109/ACCESS.2020.2987483open access7243572460IEEE Access8AR/0000025416