Tangent was at the Transportation Research Board (TRB) 2023. From January 8 to 12, the NTUA team – represented by Prof Eleni Vlahogianni, Panagiotis Fafoutellis and Elena Mantouka – had the opportunity to present some interesting findings at the 102nd TRB Annual meeting. They presented two papers:

1. A Multi-level Approach to Link Smooth Driving with Safe Driver Behavior

The first paper entitled “A Multi-level Approach to Link Smooth Driving with Safe Driver Behavior” aimed at understanding the strength of the relationship between smooth and safe driving and specify in detail the driving behavior dynamics using real driving data. The outcomes of the paper are useful for defining the different driving profiles of drivers of the Athens Road Network which will be used during the virtual case study of Athens (WP7), in order to represent as realistically as possible, the characteristics of drivers on the Athens network.

2. Multimodal Traffic Demand Prediction Using a Community Detection Framework on Social Multiplex Networks

The second paper entitled “Multimodal Traffic Demand Prediction Using a Community Detection Framework on Social Multiplex Networks” included a comprehensive literature review of methods for traffic prediction, as well the implementation and the results of a prediction model for traffic demand side for the case of Athens.