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INSTRUCTORS:
Leonildo Cassule
Blaine Wruck
Michael McNerney
Guanhao Xu
Purpose and Background
These presentations were recorded at the 2024 T & DI Conference.
Design Speed Evaluation on Horizontal and Vertical Curves Using LiDAR and Imagery-based Point Clouds (17 minutes)
This presentation explains the integration of LiDAR and imagery-based point clouds for evaluating design speeds on horizontal and vertical curves. It focuses on how these technologies can improve the accuracy and efficiency of geometric design assessments. Attendees will gain insights into data processing techniques and the application of these tools to optimize roadway safety. The session will also explore case studies demonstrating the practical implications of these technologies in real-world scenarios.
UAS Operations in Complex Urban and Rural Environments (28 minutes)
This presentation addresses the challenges and solutions for operating Unmanned Aerial Systems (UAS) in both urban and rural settings. It highlights the technical considerations and regulatory requirements that engineers must navigate when deploying UAS in these environments. The session will discuss strategies for overcoming obstacles such as signal interference and airspace restrictions. Real-world examples will be provided to illustrate successful UAS operations in diverse geographical areas.
Enhancing Intelligent Traffic Systems for Evacuation Management through Unmanned Aerial Vehicles (15 minutes)
This session explores the use of Unmanned Aerial Vehicles (UAVs) to enhance Intelligent Traffic Systems (ITS) during emergency evacuations. The discussion will cover how UAVs can provide real-time data to improve traffic flow and reduce congestion in critical situations. Participants will learn about the integration of UAVs with existing ITS and the potential challenges in deployment. The presentation also includes case studies showcasing the effectiveness of UAVs in evacuation scenarios.
Using AI and Change Detection in Geospatial UAS Airfield Pavement Inspection for Pavement Management (17 minutes)
This presentation focuses on the application of Artificial Intelligence (AI) and change detection techniques in the inspection of airfield pavements using Geospatial UAS. It will cover how AI can be leveraged to analyze UAS-collected data for identifying pavement distresses and informing maintenance decisions. Attendees will explore the benefits of integrating AI with UAS technologies to enhance the accuracy and efficiency of pavement management systems. The session will also address the challenges and limitations of using AI in this context, along with potential solutions.
Benefits and Learning Outcomes
Upon completion of this course, you will be able to:
- List the key factors that influence design speed evaluation on horizontal and vertical curves when using LiDAR and imagery-based point clouds.
- Describe the challenges and considerations involved in operating UAS in both urban and rural environments.
- Explain how unmanned aerial vehicles (UAVs) can enhance intelligent traffic systems, particularly in the context of evacuation management.
- Discuss the role of AI and change detection in improving geospatial UAS airfield pavement inspections for effective pavement management.
Assessment of Learning Outcomes
Learning outcomes are assessed and achieved through passing a 10 multiple choice question post-test with at least a 70%.
Who Should Attend?
- Transportation engineers
- Transportation planners
- Traffic engineers
- Highway engineers
- Materials engineers
- Construction engineers
How to Earn Your CEUs/PDHs and Receive Your Certificate of Completion
This course is worth 0.2 CEUs/1.5 PDHs. To receive your certificate of completion, you will need to complete a short on-line post-test and receive a passing score of 70% or higher within 365 days of course purchase.
How do I convert CEUs to PDHs?
1.0 CEU = 10 PDHs [Example: 0.1 CEU = 1 PDH]