Networked Sensor System for Automated Data Collection and Analysis

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Networked Sensor System for Automated Data Collection and Analysis

K. C. P. Wang / W. Gong / Z. Hou

This research describes the development of a real-time multi-functional system for roadway data acquisition and analysis with multiple sensors. This system, Digital Highway Data Vehicle (DHDV), combined the technologies of laser illumination based digital imaging, inertial profiling and GPS mapping into an integrated system to accomplish the multiple tasks of survey and management for roadway data. It can capture the pavement surface images, the right-of-way (ROW) color images, the roughness and rutting data at a driving speed over 100km/h (60 mph). The resolution of the pavement images is 1-mm in both longitudinal and transverse directions with the use of high resolution gray-scale line cameras. The image covers 4-meter full lane width. ROW color images are acquired with multiple high resolution color frame cameras. The pavement distress analysis and road sign inventory can be conducted in real time. The system provides a comprehensive database engine which streams various imaging and location data into the on-board computer system as the data sets become available. This research presents the designs of this comprehensive data acquisition and analysis platform with respect to multi-function, integration and automation. The reliability and efficiency of DHDV have been demonstrated in different agencies with thousands of running miles.