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Refining Inductive Loop Signature Technology for Statewide Vehicle Classification Counts

Status:  Active
Project Start Date:  07/14/2020


With higher traffic volumes and greater restrictions on placing road tubes to do vehicle classification counts we need to find alternate ways to get vehicle class data. The loop signature technology could be a huge innovation that can replace existing data collection methods and would save the state a lot of time and money. The objective of this research is to perform additional testing at traffic signals and Automatic Traffic Recorder (ATR) sites to better understand loop signature performance issues, to improve the classification accuracy, and develop an enhanced pattern recognition based on the signature profiles of various types of vehicles in Minnesota.

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