Vehicle classification by pattern- matching gage sensors

Dryver R. Huston; William B. Spillman Jr.; Richard O. Claus; Vivek Arya; Noel Zabaronick

doi:10.1117/12.240865

30 May 1996 Vehicle classification by pattern-matching gauge sensors

Dryver R. Huston, William B. Spillman Jr., Richard O. Claus, Vivek Arya, Noel Zabaronick

Proceedings Volume 2718, Smart Structures and Materials 1996: Smart Sensing, Processing, and Instrumentation; (1996) https://doi.org/10.1117/12.240865
Event: 1996 Symposium on Smart Structures and Materials, 1996, San Diego, CA, United States

Abstract

This paper describes a method of using matched-pattern gage sensors that are embedded into highway pavements to classify vehicles, i.e. cars vs. trucks. The classification of vehicle type is an important technology for a variety of highway operations, e.g. traffic control, maintenance planning, weigh-in-motion, and the assignment of tolls. Vehicle classification schemes that are based on strip-crossing methods are not very robust due to the large variability of strip-crossing sequences. Visual methods still rely primarily on human identification. The method described here involves placing long gage length sensors in highway pavements. The spatial pattern of the sensor is configured so that it will match the wheel pattern of the type of vehicle that is being identified. Theoretical modeling shows that the signal received from the sensor is a cross-correlation function relating the wheel and sensor patterns in space and time. The sensor can be any one of a variety that transduce by integrating pressure along a length. The technique is demonstrated in the laboratory with PVDF and fiber optic sensors. Experimental results and computer simulations are presented as well as a discussion of the realistic possibility of using such a vehicle identification scheme under field conditions.

Citation Download Citation

Dryver R. Huston, William B. Spillman Jr., Richard O. Claus, Vivek Arya, and Noel Zabaronick "Vehicle classification by pattern-matching gauge sensors", Proc. SPIE 2718, Smart Structures and Materials 1996: Smart Sensing, Processing, and Instrumentation, (30 May 1996); https://doi.org/10.1117/12.240865

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