An Asset Management-Based Methodology for Integrating Guardrail Sensors Into an Existing Intelligent Transportation System

Abstract

In this article, we present an asset management-based methodology for the integration and deployment of guardrail sensors into an existing Intelligent Transportation System (ITS). The methodology employs a three phase approach that incorporates data modeling, spatial analysis using Geographic Information Systems (GIS), and cost optimization to provide enhanced decision support when integrating guardrail sensing capabilities into an existing ITS. The utility of the proposed methodology is illustrated through an example integration of a guardrail sensor network in high collision segment of roadways in a metropolitan area of Montgomery, Ohio. The results demonstrate that the methodology provides an effective means for planning new sensor deployments by providing a structured approach to modeling the existing ITS, identifying optimal sensor placement, and analyzing cost and performance tradeoffs to yield the optimal solution for a given set of requirements.