Using Deep Learning to Construct a Real-Time Road Safety Model; Modelling the Personal Attributes for Cyclist
(2020)
Presentation / Conference Contribution
Malik, F. A., Dala, L., & Busawon, K. (2020, November). Using Deep Learning to Construct a Real-Time Road Safety Model; Modelling the Personal Attributes for Cyclist. Presented at Intelligent Data Engineering and Automated Learning – IDEAL 2020, Guimaraes, Portugal
This paper is concerned with the modelling of cyclist road traffic crashes by considering the personal attributes, i.e. gender and age of the cyclists. There are 21 different types of variables considered for each crash, which broadly fall into spati... Read More about Using Deep Learning to Construct a Real-Time Road Safety Model; Modelling the Personal Attributes for Cyclist.