From 2008 through 2014, the City of Houston (COH) moved to an automated pavement management system using cameras and a profiler to collect data via a Street Surface Assessment Vehicle (SSAV). However, the Pavement Condition Rating (PCR) provided by the SSAV did not indicate other critical issues that may have been seen by an engineer doing a rating by a “windshield” observation, for example, improper slopes, ditches with sloughing, or other factors that might increase traffic.) COH now employs a hybrid approach of automated data collection and manual QC checks. Pavement inspections are done by a team of technicians collecting high definition imagery from high resolution cameras and surface profiles from a Mobile Asset Collection vehicle. Manual spot checks are conducted to ensure accuracy. The data is stored in an efficient database for sorting and management by multiple departments for use in lifecycle modeling, condition analysis and work plan generation.

Learning Objectives:

_Demonstrate improvements to procedures as technology changes for Pavement Data Collection.

_Recognize pavement distresses that indicate types of pavement deterioration.

_Develop a Pavement Management Program (PMP) within budget constraints.

Contributor/Source

Raj Shah ;Scott Gordon P.E., IAM;Steve Loo P.E.;Walter Hambrick

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