No abstract

With the increasing number of vehicles equipped with GPS

Finding similar trajectories in massive vehicular trajectory data can benefit emerging novel mobile applications, such as carpooling, friend recommendation and traffic analysis. This paper proposes a novel spatio-temporal based trajectory similarity evaluation method. Significance of each point on the query trajectory can be assigned according to personal preference. Speed factor is also considered in the evaluation approach. Furthermore, the condition of same length in space and time for the compared trajectories is not compulsive in our method.