|Author(s)||Anand J. Puppala, University of Texas at Arlington|
|CTEDD Funding Year||2017 General RFP|
|End Date||August 31, 2018|
Annually, transportation agencies spend several millions of dollars of expenditures for their rehabilitation works due to the problematic soils underneath the infrastructure assets. The soils in Dallas-Fort Worth region have high tendency to undergo swell-shrink behavior that contributes to the premature failure of pavements. The proposed research focused on conducting the laboratory tests on the field collected samples and validating their field performance using innovative data collection technologies. Infrastructure monitoring often requires interaction between the data collector and the traffic which leads to traffic delays as well as exposing the personnel to perilous conditions. Of late, different sensors like Light Detection and Ranging LiDAR and visible range cameras mounted on various platforms classified as terrestrial and aerial have been used to remotely inspect the infrastructure assets. Due to the advancement of these sensors, application of remote sensing techniques for monitoring infrastructure has gained lot of impetus in the past decade. Safe and efficient data collection procedures using terrestrial LiDAR and UAV were adopted in this project. The laser emitted and received from the LiDAR equipment ...and the images collected from the camera mounted on drones was also able to provide the infrastructure condition data. The adopted procedures for the monitoring techniques and solutions have shown immediate benefit to the transportation agencies in obtaining valuable asset condition information in a safe manner. The outcome of this research has a possible impact on the policies of transportation agencies as part of their future infrastructure monitoring Read more
Current monitoring techniques to assess the condition of the transportation infrastructure rely extensively on point based measurements such as elevation surveys and sensors installed at the test site. These methods have been adopted by agencies and researchers for several decades, which are labor intensive, time consuming, often difficult and can lead unsafe practices. These in turn delay the assessment of the condition of the transportation infrastructure where the decision makers cannot decide timely on the resource allocation for the rehabilitation works. The proposed research will help local transportation agencies including DOT s and cities to extend the life of the transportation infrastructure by assessing the risk condition of them through remote sensing technologies. This research will advance the state of the art technologies and aid in workforce development by introducing and educating the upcoming and current workforce in remote sensing technologies as applied to pavement condition assessment studies. The proposed ...research will be focused on monitoring the transportation infrastructure using LiDAR and unmanned aerial vehicles and develop procedures to assess the condition of the pavement infrastructure located in Dallas Fort Worth areas. The soils in this area undergo swell shrink behavior, causing pavement fail prematurely and then resulting in several millions of dollars of expenditures annually for their rehabilitation works. The developed procedures for the monitoring techniques and solutions can immediately benefit transportation agencies to more easily and inexpensively obtain the valuable information through a multi year effort of applied research, education, and technology Read more
Safe and efficient data collection procedures using terrestrial LiDAR and UAV were adopted in this project. The laser emitted and received from the LiDAR equipment and the images collected from the camera mounted on drones was also able to provide the infrastructure condition data. The developed procedures for monitoring can immediately benefit transportation agencies to quickly obtain the valuable information about the infrastructure health condition. This data can be used by the agencies in prioritizing the infrastructure rehabilitation projects and allocating the budget. The data obtained from these methods validated the use of innovative materials in arresting the pavement failures and offer a comfortable ride to the road users.
The conducted research has impacted the way the road agencies look at new technologies. By validating their field applications, this research is going to attract more agencies in following the remote sensing methodologies for infrastructure monitoring that includes inspection of thousands of pavement miles laid over problematic soils. This research also provided palpable infrastructure data models that can be easily perceived increase the understanding of the general public about the pavement condition.