Tracking Heavy Vehicles Based on Weigh-In-Motion and Inductive Loop Signature Technologies

Weigh-in-motion (WIM) has been employed as a major technology to collect heavy vehicles' data on the freeways. Because WIM is one of the most costly and sophisticated data collection systems, how to effectively utilize the valuable WIM data and monitor the performance of WIM stations are particularly important. In this paper, we proposed an innovative and yet practical approach for heavy vehicle tracking that combines the use of both WIM data and the inductive loop signature data. The proposed multilevel vehicle reidentification approach was able to generate promising tracking performance with both inductive loop signatures and WIM data applied.