Investigation and Modeling on Drivers’ Route and Departure Time Choices from a Big Data Set of Floating Car Data

In this paper, a general analysis methodology aimed at processing a large set of Floating Car Data (FCD) – reconstructing the routes followed by the drivers and then clustering them to achieve suitable choice sets– is applied to a broad set of FCD collected in the metropolitan city of Rome over six months. Through the observation of about 10,000 trips, an analysis of Wardrop’s principle is carried...