251-Automated Vehicle Technologies for Crowd-Sourced Roadway Environment Assessment
Date and Time: Tuesday, July 19: 1:30 PM - 5:00 PM
Location: Royal AB
Infrastructure and Automated Driving Systems Project – Connecticut DOT and Consumer Reports
Kelly Funkhouser
Partnership for Analytics Research in Traffic Safety (PARTS): Lessons Learned on Collaborating for Safety
Christopher Hill
Vision-Based Connected Vehicle Data for Infrastructure Management & Road Safety Assessment
Mark Davis
Road Triage AI Perception Engine: A Better Approach to Roadway Assessments
Jeff Barghout
Leveraging vehicle data on an all new platform to improve road conditions in communities
Heather Ducharme
MODERATORS AND ORGANIZERS
MODERATORS
Rob Dingess, President, Mercer Strategic Alliance
Paul Carlson, CEO, Automated Roads
ORGANIZERS
Rob Dingess, President, Mercer Strategic Alliance (Co-Organizer)
Paul Carlson, CEO, Automated Roads (Co-Organizer)
John Corbin, Transportation Automation Program Manager, FHWA (Session Contact)
SESSION DESCRIPTION AND AGENDA
The session for roadway transportation agencies and industry partners will introduce and explore solutions for applying crowd-sourced roadway environment data generated by automated driving systems (ADS). The first part of the session will define crowd-sourced roadway assessment data, give an overview of the session, and identify the major stakeholder groups. The second part of the session will present the background, current state of art, and near-term future of crowdsourced roadway data assessment as a system within systems. The third part of the session will present case studies from the major stakeholder groups. Lastly, the presenters will summarize the session, identify key points and possible next steps to incorporate ADS-based roadway environment assessment crowdsourcing into national network-level roadway-ADS integration readiness.
Length: Three hours
1. Session Overview and Introduction: (Rob Dingess, Mercer Strategic Alliance) [5 minutes]
2. Connecticut DOT and Consumer Reports – Infrastructure and Automated Driving Systems Project - Kelly Funkhouser (Consumer Reports) [15 minutes]
3. Lisa Miller (Eastern Transportation Coalition) [15 minutes]
4. Robert Heilman, Director, Highly Automated Systems Safety (HASS) - Maximizing HASS and advanced driver assistance system technologies today. [15 minutes]
5. Schuyler St. Lawrence, Senior Engineer, Toyota &
Chris Hill, MITRE; NHTSA and MITRE's Partnership for Analytics in Traffic Safety (PARTS) [20 minutes]
Center of Excellence (COE) USDOT [20 minutes]
Interactive panelist-audience forum, discussion questions include: (20-minutes)
• What are valuable applications now?
• How could applications be evaluated and advanced?
• Are there national activities that would support advancements?
• What could be future applications of crowdsourced roadway assessment?
• What are local, State, national, and international agencies’ roles in crowdsourced roadway assessment today? In the near-term? In the long-term?
10 Minutes: Break
Crowdsource Data Existing or anticipated examples of how crowdsourced roadway assessment data functions or will function within a system of systems.
b. What crowdsourced roadway assessment data could expand and/or enable by 2030.
c. How data on variables like advancements in vision-based sensor technologies, traffic conditions, work zones, weather, asset condition, pavement markings, and pavement distress fit into future of management of road transportation.
Paul Carlson, Introduction [5 minutes]
i. Mark Davis, Head of Data Services & Business Development, Mobileye Data Services Road Survey and Analytics [15 minutes]
ii. Jeff Barghout, CEO, ROBOCIST, Road Triage, Road Asset Analytics [15 minutes]
iii. Valerie Brugeman, ROMO, Mercedes Benz [15 minutes]
iv. Heather Ducharme, Future Roads, GM [15 minutes]
15 minutes: Interactive panelist-audience forum, discussion questions include:
• What are valuable applications now?
• How could applications be evaluated and advanced?
• Are there national activities that would support advancements?
• What could be future applications of crowdsourced roadway assessment?
• What are local, State, national, and international agencies’ roles in crowdsourced roadway assessment today? In the near-term? In the long-term?
GOALS, OBJECTIVES, AND OUTPUTS
• Understand automated vehicle based technologies that perceive the roadway environment, and their integration by industry into crowd-sourced roadway data solutions for the highway infrastructure industry.
• Explore emerging and potential applications of crowd-sourced roadway data solutions, particularly as these applications pertain to planning and accommodating automated driving system (ADS) specific operational design domains (ODD).
• Define critical issues and a near-term national institutional approach to advance the use of crowd-sourced roadway environment assessment data for roadway-ADS integration.
251-Automated Vehicle Technologies for Crowd-Sourced Roadway Environment Assessment
Description