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INSTRUCTOR: 
Bryan Lee
Eleftheria Kontou, PhD
Eva Lerner-Lam
Yihao Ren
Behnam Jamali

This techsession will only award PDHs for completion.

Purpose and Background

Class 8 Fuel Cell Trucks: Fleet Adoption & Infrastructure Deployment in California (15 minutes)

The presentation delves into the technical aspects of integrating fuel cell technology within heavy-duty trucks. It examines the challenges and solutions in fleet adoption, focusing on the scalability and efficiency of hydrogen fuel cells for long-haul transportation. The discussion also includes the infrastructure requirements for fueling and maintaining these advanced vehicles, highlighting California's role as a leader in sustainable transportation initiatives. Attendees will gain insights into the latest advancements and practical applications of fuel cell technology in the trucking industry.

Home charging for all: electric vehicle charging hubs planning in multi-unit dwellings (20 minutes)

The presentation explores the technical challenges and solutions for implementing electric vehicle (EV) charging infrastructure in multi-unit residential buildings. It covers the design and integration of charging hubs that accommodate diverse energy demands while ensuring grid stability. The session also addresses the architectural and electrical considerations necessary for retrofitting existing buildings or planning new developments to support widespread EV adoption. Participants will learn about innovative strategies for overcoming space, cost, and regulatory barriers to facilitate convenient home charging for all residents.

Civil Engineering Codes and Standards to Facilitate the Adoption of Electric Vehicles (19 minutes)

The presentation focuses on the technical requirements and regulatory frameworks essential for integrating electric vehicles (EVs) into infrastructure. It examines how civil engineering codes and standards are evolving to support the development of EV-friendly roadways, parking structures, and charging stations. The session highlights the impact of these standards on the design, construction, and maintenance of transportation systems, ensuring they meet the demands of a rapidly growing EV market. Attendees will gain a deep understanding of the critical role that codes and standards play in enabling a smooth transition to electric mobility.

AI-Assisted LiDAR System's Performance for Automatic Track Geometry Monitoring (16 minutes)

The presentation explains the integration of artificial intelligence with LiDAR technology to enhance track geometry monitoring in rail systems. It delves into the technical mechanisms by which AI algorithms process LiDAR data to automatically detect and analyze track conditions, ensuring precise alignment and safety. The session covers advancements in real-time data processing and the benefits of continuous monitoring for predictive maintenance. Engineers will gain insights into how AI-driven LiDAR systems are revolutionizing the accuracy and efficiency of railway infrastructure assessments.

Leveraging Computer Vision and AI for Enhanced Railway Safety (11 minutes)

The presentation focuses on the application of advanced computer vision and AI technologies to improve safety in railway systems. It discusses how AI algorithms process visual data from cameras and sensors to automatically detect potential hazards, such as track obstructions and signal failures. The session highlights the integration of these technologies into existing railway safety protocols, enabling real-time monitoring and rapid response to safety threats. Engineers will learn about the latest innovations in AI-driven surveillance and the impact of computer vision on reducing accidents and enhancing operational efficiency.

Learning Outcomes and Session Benefits

Upon completion of this course, you will be able to:

• List the key challenges and solutions involved in the deployment of hydrogen fueling infrastructure for heavy-duty trucks in California.
• Explain the design considerations and technical challenges in planning electric vehicle charging hubs for multi-unit residential buildings.
• Describe the evolving civil engineering codes and standards that are critical for supporting the integration of electric vehicles into public infrastructure.
• Discuss how AI and LiDAR technologies are combined to enhance the accuracy and efficiency of track geometry monitoring.
• Identify the key applications of computer vision and AI in detecting safety hazards and improving railway safety protocols.

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 PDHs and Receive Your Certificate of Completion

This course is worth 1.5 PDHs. To receive your certificate of completion, you will need to attend the live session and/or watch the recording(s) and complete the post-session survey. If the course is taken On-Demand, there will also be a 10 multiple choice question post-test.

View Important Policies and System Requirements for this course