U.S. DOT CDA PROGRAM SHOWCASE

Stop by the U.S. DOT CDA (Cooperative Driving Automation) Program Showcase, in the Exhibit Hall at booth #451 to see the U.S. DOT cooperative driving automation exhibit and interact with a smart intersection of the future. Enjoy four days of programming and demonstrations directly in this area.

Connected Driving Automation Live

Interested in using CARMA in your CDA research? Join one of our interactive sessions to learn more about USDOT’s our open source CDA tools, ask questions to the experts, and get connected with our researchers.

All sessions are 15 minutes.

Wednesday, September 21 | 2:00 PM – 3:00 PM

In another engaging learning session from FMCSA, Jeff Loftus will host Erin Mabry from Virginia Tech Transportation Institute to talk about creating best practices and standard operating procedures when working with ADS-equipped trucking fleets. See you in booth #451 in front of the Smart Trailer!

Presenters: Jeff Loftus (FMCSA), Erin Mabry (Virginia Tech Transportation Institute)

Tuesday, September 20 | 11:00 AM – 12:00 PM | Booth #451

Learn how to leverage different simulation tools to advance CDA research! This session will introduce CDASim, an integration of SUMO, CARLA, NS-3, and CARMA products that supports researchers and practitioners as they develop and evaluate CDA applications.

Speakers: Zhitong Huang (Leidos), Jon Smet (Leidos).

Join this hands-on demonstration of connected infrastructure with CAVe-in-a-box! Participants will learn how different applications of connectivity, as well as edge computing, can enable system-wide informed decisions and improve roadway safety in a truly connected transportation ecosystem, that includes vehicles, infrastructure, freight, and pedestrians. The presenters will provide an overview of CAVe-in-a-box and demonstrate how a CARMA Freight truck sends and receives messages using CAVe-in-a-box, and how a FLIR camera communicates the existence of pedestrians in intersections using CAVe-in-a-box.

All sessions are 15 minutes.

Speakers: Will Martin (Leidos), Safak Ercisli (Leidos).

Interested in using CARMA in your CDA research? Join one of our hands-on training sessions to learn how to install and deploy CARMA and how to integrate different hardware into the CARMA ecosystem!

All sessions are 15 minutes.

Speakers: Animesh Balse (Leidos), Safak Ercisli (Leidos).

Livable communities that support bicycling and walking are high priorities for the U.S. Department of Transportation. Utilizing virtual reality, the FHWA Human Factors team is leveraging virtual reality technology to study vulnerable road user (VRU) behavior to improve safety. Join us for an interactive demonstration of our virtual reality bike simulator and ride through a virtual scenario to experience hazards and traffic.

All sessions are 15 minutes and will repeat during the time blocks.

Speakers: Jose A. Calvo, PhD. (Leidos), Mafruhatul Jannat, PhD. (Leidos)

Learn how FHWA is advancing pedestrian safety research through cutting-edge technologies without putting pedestrian in real-world crash scenarios! Join us for an interactive demonstration of our cutting-edge Belt Driven Articulating Pedestrian Dummy across a simulated crosswalk, and learn how detection by infrared thermal imaging sensors enhances pedestrian safety.

Speakers: Jose A. Calvo, PhD. (Leidos), Mafruhatul Jannat, PhD. (Leidos)

U.S. DOT CDA PROGRAM SHOWCASE

Connected Driving Automation Live

FHWA's CDA Research to Deployment

VRU and EV applications

Research, Regulations, Deployment, and Enforcement Issues for ADAS- and ADS-equipped heavy trucks

VOICES

Truck CONOPS—Developing an ADS Operations Playbook for Trucking Fleets

Cybersecurity in Connected and Automated Vehicles

Energy Efficient CAV Applications for Heavy-Duty Trucks

CDA Freight

Advancing CDA Research through Simulation

CDA Message Sets

Cooperative Perception

Connected Infrastructure Using CAVe-in-a-Box

Connected Driving Automation Live

Improving Bicyclist Safety Using Virtual Reality Bicyclist Simulation

Enhancing VRU Detection Using an Adult Pedestrian Anthropomorphic Test Device and Infrared Thermal Imaging Sensors