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31 October 2017



Sensys helping to optimise vehicle efficiency and safety

First publishedin ITS World Congress
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 Sensys networks director of product management
Partner in the future: Sensys director of product management Christopher Flores

Sensys Networks is highlighting a partnership with the University of California, Berkeley and Hyundai to optimise autonomous vehicle efficiency and safety.

As part of ARPA-E's Nextcar Programme, 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.

“At Berkeley we are building the intelligence beyond the next generation of connected and automated vehicles,” explained Francesco Borrelli, professor of mechanical engineering at UC Berkeley. “This particular project with Sensys Networks demonstrates our vision to leverage vehicle connectivity with the transportation infrastructure and automation technologies to optimise vehicle controls and powertrain operation.

Amine Haoui, CEO for Sensys Networks, provided an example: “An autonomous vehicle approaching a signalised intersection with accurate knowledge of whether the signal will be green or red when it gets to the intersection, will optimise its approach to the intersection to minimise stops or accelerations/decelerations. It can thus optimise its energy consumption.

”Sensys Networks’ technology delivers predictive Spat (Signal Phase and Timing) data to CAVs. The solution leverages Sensys Networks’ Flexcontrol Edge Gateway and Snaps software platform to collect and store signal phase and vehicle detection data.

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