Paper presented at the 6th Symposium of the European Association for Research in Transportation (hEART 2017), Haifa, September 2017.
In the present paper a modeling approach to address the issue of mean speed prediction on a large scale network is presented. Methodologically, we exploit the family of spatial regression models, treating for both spatial dependence and endogeneity aspects. An empirical case study is designed to conclude on the predictive ability of the model.