Connected automated vehicle (CAV) technology has important implications in terms of transportation system management and operations. Yet, it also raises concerns over non-automated road users, particularly in rural areas where the Information and Communication Technology (ICT) infrastructure necessary for the deployment of CAV technology is lacking. However, building such infrastructure (e.g. roadside equipment - RSE) in rural areas at the desired standards is a challenging task and requires substantial investment, which limits the availability of CAV technology to urban areas. Therefore, it is unclear how CAVs will safely and securely navigate when traveling outside of Intelligent Communication Technology (ICT) infrastructure (e.g. in rural areas) while encountering unsignalized intersections, lane closures, abrupt road geometry changes, or work-zone detours.
Rural roads in the United States play an important role in our transportation system. However, they are faced with several challenges that leave their condition dangerous to roadway users.
Complete ADAS solution with infrastructure-to-vehicle communication capability. The system supports Forward Collision Warning, Lane Departure Warning, Red Light Violation Warning, Vulnerable Road User Warning (Pedestrian and Cyclist) and many I2V communication messages (i.e. MAP, TIM, PSM) through smart sign technology.Learn More
In collaboration with the U.S. Department of Transportation (USDOT) through the USDOT SBIR program, Connected Wise has developed a technology that can receive information from signs readable only by machine, and interprets them for connected vehicles' OBE devices. The system is empowered by state-of-the-art machine learning techniques which can classify, detect and recognize different roadway entities.Learn More
Designed to be for consumers anywhere in the world.
Through machine vision, the onboard device is able to classify pedestrians, traffic signs, vehicles and Connected Wise's smart signs.
Connected Wise’s technology connects vehicles to infrastructure through the use of machine readable signs and interpreting encrypted messages from these signs for vehicle’s On-board Equipment (OBE) devices.