Accessing and Integrating CV and AV Sensor Data into Traffic Engineering Practice

Abstract

Autonomous vehicles (AV) and connected vehicles (CV) are being designed with numerous sensors, including cameras, radar and Lidar, to enable features like adaptive cruise control, blind spot monitoring, collision avoidance and navigation. As AVs and CVs enter the vehicle fleet, practitioners are going to have the opportunity to monitor operations for freeways, intersections and urban environments to a degree that has not been possible or practical previously. But, the very availability of data will threaten practitioners with information overload. To properly use this newly abundant data, new algorithms and systems designs will be needed to automate data collection and processing into formats that practitioners can use.