Extracting Vehicular Mobility Dynamics from Taxi Fleet Trajectories

Abstract

Understanding the movements, characteristics, and behaviors of passengers and vehicles in vehicular networks can be achieved by extracting the dynamics from available mobility traces of taxis plying the roads of an urban city. In this study, we mine cars and motorcycles trajectories from a developing country and observe if there are differences in their behaviors and movements as public transports. In particular, we extract the social and operational dynamics from the vehicular trips and will be used to investigate how vehicles and passengers move from its origin location to its desired destination point. Furthermore, these social and operational features can be used to improve road regulations and policies and develop new public transportation routes. Extracted data from cars and motorcycles trips reveal a similarity in their mobility pattern dynamics characteristics in terms of origin-hotspot combination, travel distance efficiency, and vehicular interactions.