will be demonstrating innovative technology it has developed in a partnership with the University of California, Berkeley
, and Hyundai
to optimise autonomous vehicle efficiency and safety. As part of ARPA-E's Nextcar Program, (short for "Next-generation Energy Technologies for Connected and Automated On-Road Vehicles,” the partners are developing an innovative vehicle dynamic and powertrain (VD&PT) control architecture based on a predictive and data-driven approach. The goal is to optimise PHEV (plug-in hybrid electric vehicle) performance in real-world conditions, facilitate efficient departure at intersections, predictive cruise and speed profiles, and learning-based eco-routing and tuning.
Using Sensys Networks technology, an autonomous hybrid vehicle can approach a signalised intersection, knowing precisely when the light will change, thus minimising stops and starts and optimising energy consumption.
The technology, which will be demonstrated at ITS World Congress in Montréal, delivers Predictive Signal Phase and Timing (SPAT) data to CAVs. The solution leverages the Sensys Networks FlexControl Edge Gateway and Snaps software platform to collect and store signal phase and vehicle detection data.