Breakout 18: Reading the Road Ahead: Infrastructure Readiness
Wednesday, July 12, 1:30 PM – 5:30 PM
- Scott O. Kuznicki, P.E., Dubai Office of Transpo Group
- IN COOPERATION WITH
- Dr. Paul Carlson, Texas Transportation Institute
- Brian Watson, American Traffic Safety Services Association
- Robert Dingess, Mercer Strategic Alliance
Today’s automated vehicles collect primary guidance information from visible-light optical imagery machine vision equipment supported by complementary sensors and integrated with global navigation satellite systems. Without consistently-placed traffic control devices and geometric design, these cloud-supported multi-client machine learning systems will struggle to operate with predictable accuracy. This points to the need to determine the suitability of roadway segments for AV operations in support of the fast-emerging ubiquity of Level II and para-Level III AV systems and in preparation for consistent implementations of Level IV and Level V systems.
The outcome of this year’s infrastructure session will be a working group for developing roadway readiness criteria, a clearinghouse for information, and an identification of key supporting organizations and contacts. These criteria will be based on the interplay of readiness with levels of automation and machine vision capabilities and potential rating systems for state of readiness, supported by an architecture for a national readiness clearinghouse. The ultimate goal is a peer-reviewed handbook for assessing roadway readiness.
The work products of this session will be a recommended set of research problem statements for synthesis and practice evaluations and also a research problem statement for the development of an information clearinghouse for the classification of machine vision systems and roadway segment properties. Scott Kuznicki, Jon Obenberger, and Paul Carlson will cooperate in writing these problem statements.
Worldwide State of Machine Vision Systems (75 minutes)
Moderator – Scott O. Kuznicki, P.E., Transpo Group
The introductory presentations will outline the problems facing automated vehicle machine vision systems, worldwide approaches to anticipating and addressing these challenges, and the current U.S. efforts to determine levels of readiness of roadway systems for automated vehicles.
Ambiguous Infrastructure: A Worldwide Perspective
- Scott O. Kuznicki, P.E., Transpo Group
V2X Applications for Intersections
- Jaap Vreeswijk, MAP Traffic Management
Facilitating Automated Driving: The EU EIP Experience
- Tom Alkim, Dutch Road Authority
The Role of Mapping in Automated Driving: Capturing Infrastructure for the Operator
CDOT RoadX Program and Preparing for AVs
- Peter Kozinski, Colorado Department of Transportation
Workshop: Machine Vision and Traffic Control Devices (60 minutes)
Moderator – Brian Watson, American Traffic Safety Services Association
Participants will enjoy a facilitated question-and-answer session to understand how machine vision experts, vehicle manufacturers, traffic control device suppliers, and transport agencies are cooperating to ensure that the systems are integrated. Participants will gain an understanding of how we can obtain maximum effectiveness from our roadway systems, including traffic control devices, in the automation environment.
Smart Work Zones for the AV Environment
- Ross Sheckler, iCone Products
Signs and Lines of the Future
- Ken Smith, Ph.D., 3M Corporation
Hybrid Infrastructure for Automated Driving
- Panagiotis Lytrivis, I-Sense Group
Workshop: Developing a Level of Readiness Framework (75 minutes)
Moderators – Scott O. Kuznicki and Peter Kozinski
This workshop will build on the information from the presentations and machine vision/TCD workshop to begin development of a framework for implementing a levels of readiness evaluation system and information clearinghouse. Participants will first assess the capabilities of SAE Levels of Automation and common machine vision systems in the context of the roadway environment, including signing and pavement markings. To enhance coordination between suppliers and vehicle manufacturers in the development of TCDs that are highly-compatible with AV machine vision systems, participants will develop a capabilities matrix for machine vision systems and, based on this, develop a corresponding recommendation for roadway readiness based on TCD applications and condition.