Analysing Connected Car Data to Understand Vehicular Route Choice

This paper motivates the use of GPS traces to better understand the complexities of driver behaviour and movement, and introduces a new car trajectories dataset. This dataset, provided via the ESRC Consumer Data Research Centre, consist of connected car data for 50,000 vehicles over one month. We propose to analyse route choice through six cardinal statistical measures including travel distance, travel time, stop time, number of turns, angular deviation, and sinuosity. We report preliminary results on a 450 trips sample and aim to extend the analysis to the entire dataset to better understand how individuals navigate in their daily journeys.