Previous research shows how exploratory analyzes and modeling through time series of road accidents in a specific place can help understand this phenomenon and reduce them. This study seeks to develop an exploratory analysis and a forecast of the number of people involved in road accidents related to bicycles in the city of Bogotá D.C, through time series modeling. The open data set of road accidents shared by the Bogotá District Mobility Secretariat was used, which relates information on road incidents recorded in police reports of traffic accidents that occurred in this city between 2015 and 2020. Three of the twenty localities of the city of Bogotá D.C were defined as study area, namely: Suba, Engativá and Fontibón. In the first instance, a descriptive analysis of the data was carried out, and immediately afterwards, the SARIMA models were postulated, in order to identify which is the one that best adapts to the aforementioned phenomenon.