Research Reports

In-Situ Vehicle Classification Using an ILD and a Magnetoresistive Sensor Array

Principal Investigator:

Stanley G Burns

February 2009

Report no. CTS 09-06

Topics: Pavements, Traffic Modeling and Data, Traffic Operations

This report provides a summary of results from a multi-year study that includes both the use of inductive loop detectors (ILDs) and magnetoresistive sensors for in-situ vehicle classification. There were strengths and weaknesses noted in both type of sensor systems. Although the magnetoresistive array provides the best vehicle profile resolution, the standard inductive loop detector provides a significant cost, hardware and software complexity, and reliability advantage. The ILD installed base far exceeds the number of magnetoresistive sensors. Several electrical and computer engineering students participated in the study and their contributions are included in the individual chapter headings. Under my direction, these students also presented project work and Research Day conferences at MnDOT District 1 Headquarters.

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