The data describe freeway car-following behavior (such as velocity, acceleration, and relative position) for the car-following instances observed during 59 data collection runs, performed through the
Objective: This project aims to develop a framework for comparing various machine learning models, including advanced time-series models like Long Short-Term Memory (LSTM) networks, to predict the nu
This is the 29th study in a series of annual surveys on road safety conducted since 1981. The study is conducted by Statistics Sweden on behalf of the the Swedish Transport Administration and aims to
The data describe freeway car-following behavior (such as velocity, acceleration, and relative position) for the car-following instances observed during 59 data collection runs, performed through the