PARC Secures ARPA-E Funding to Build Energy-Saving Travel Preferences Attractive to Individual Travelers
Palo Alto, CA — PARC, a Xerox company, today announced it has secured funding from the US Department of Energy’s Advanced Research Projects Agency-Energy (ARPA-E) under the Traveler Response Architecture using Novel Signaling for Network Efficiency in Transportation (TRANSNET) Program.
In partnership with VTTI, PARC will build an elegant mobile travel application model, offering automatically generated travel suggestions that are energy efficient and likely to be accepted by the traveler. Energy can be saved by mode shifting, departure time optimization, driving behavior modifications, and/or carpooling – whether it’s peer-to-peer or via third-party services such as Lyft or Bridj.
The goal of the project is to demonstrate the possibility of 12% energy savings for consumer transportation in Los Angeles, even when only 10% of its population is using the app.
This project leverages PARC’s competencies in model based control of complex systems combined with human cognitive modeling, and VTTI’s recognized leadership in transportation modeling and control, along with Xerox’s substantial incumbency as a provider of transportation services to US cities to create a project that is meaningful, executable, and scalable.
“Phase 1 will be evaluated on a micro-simulation model of Los Angeles, built by our team members at the VTTI,” said Christian Fritz, Principal Investigator of PARC’s project. “If the project is proven successful, we will work with Xerox and the city of LA to deploy it as an extension to the recently launched Xerox Go LA app.”
Traveler Response Architecture using Novel Signaling for Network Efficiency in Transportation
TRANSNET project teams will design and test new network optimization approaches, coupled with novel transportation and mobility simulations, to improve the energy efficiency of personal transportation. Project teams will each design a system model that dynamically simulates an urban transportation network and its energy use. To construct the system model, project teams will use data that can be measured and obtained from currently available sources. Each project team will also design a control architecture that combines wireless signals with personalized incentives to affect real-time energy use. These innovative teams will then use their model and control architecture to demonstrate the level of energy-efficiency gains that can be accomplished.
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