Road crash prediction model

Description

Adding variables on crashes and road infrastructure taken from social networks and mobility apps can improve estimates of crash occurrence, compared with models that use only official crash data.

The project seeks to identify variables that contribute to a more complete model of crash probability in a city like Bogotá.

Results / publications

Camilo Gutierrez-Osorio; Cesar Augusto Pedraza. Characterizing road accidents in urban areas of Bogota (Colombia): A data science approach. 2019 2nd Latin American Conference on Intelligent Transportation Systems (ITS LATAM). IEEE.