Manufacturers, technology providers, and national and regional governments have invested billions of dollars in connected and autonomous vehicle research, pilots and demonstrations. Underlying the potential success for these important life-saving technologies is the need for communications infrastructure and interoperability. The questions invariably remain: what communications technology best serves the most? Who will build the infrastructure on which it will operate? Who will pay for it? Building that infrastructure will, in large measure, be the responsibility of the private sector pursuing communications business opportunities.
The document below is ATSSA’s response to FHWA’s request for information (RFI) concerning “Automated Driving Systems.” There were 10 questions posed by FHWA regarding infrastructure needs for advanced driving systems. ATSSA’s response focuses on pertinent safety issues, and the important issues surrounding machine vision and infrastructure.
The National Highway Traffic Safety Administration (NHTSA) requested comments on “Removing regulatory barriers for vehicles with automated driving systems”. This request for comment (RFC) focused on the interior design of automated vehicles including the driver seating position. The document below outlines ATSSA’s response to the RFC, and highlights the lead time needed for a human to regain control of the vehicle, and stressed the importance this has on the safety of our roadway workers.
The objective of this project is to develop a consensus Connected Road Classification System (CRCS) that will be useful to state and local departments of transportation and metropolitan planning organizations that are planning or implementing CV- and HAV-compatible infrastructure. Vehicle original equipment manufacturers (OEMs) and other private-sector interests (e.g., other HAV developers, transportation network companies, digital map providers, cellular telecommunications companies) must be involved in the development to ensure that the system is relevant to their development plans.
How do you teach machines to deal with the chaotic, grubby humanity of our roads, where the rules bend so easily? And how do you do it fast enough to meet the deadlines of the companies that have pledged to commercialize this technology in the next five years or less?
The Japanese government initiated a research project on automated driving systems under Cross-ministerial Strategic Innovation Promotion Program (SIP). Details of the research plan were unveiled during the program and workshop.
The Vehicle to Infrastructure Deployment Coalition (V2I DC) began as a concept to create a single point of reference for stakeholders to meet and discuss V2I deployment related issues. To accomplish this concept, U.S. DOT asked AASHTO, ITE, and ITS America to collaborate on organizing and managing the coalition. The V2I DC Project Team then created a vision, mission, and set of objectives that would guide the coalition.
Access and download resources and documents from the 2014 and 2015 Automated Vehicles Symposium.
Road Markings for Machine Vision
The objective of the research is to develop information on the performance characteristics of pavement markings that affect the ability of machine vision systems to recognize them.
Impacts of Connected Vehicles and Automated Vehicles on State and Local Transportation Agencies
The objectives of this project are to (1) identify critical issues associated with connected vehicles and automated vehicles that state and local transportation agencies and AASHTO will face, (2) conduct research to address those issues, and (3) conduct related technology transfer and information exchange activities.