Examining Smoothening Techniques for Developing Vehicular Trajectory Data under Heterogeneous Conditions

抄録

This research work is carried out with an objective of developing vehicular trajectory data under heterogeneous traffic conditions in India. However, the actual difficulty lies in development of trajectory data for the heterogeneous traffic. This is due to the fact that automated tools are not much efficient in developing vehicular trajectories under these traffic conditions. For the present study, semi-automated data extraction tool is used for extracting vehicular trajectories. This tool helps in tracking the vehicular movement in terms of longitudinal and lateral coordinates over the study sections. Since, it is a semi-automated tool where vehicle position will be tracked by means of mouse pointer, it may result in high instant accelerations and velocity ranges because of miss clicks. To eliminate and nullify the errors during the trajectory data extraction process, various smoothening techniques are used and trajectory data is smoothened and their effectiveness is analyzed.