In-the-Loop Simulations Provide Improved Methods for Testing of Connected Vehicle Technologies: Simulations Link Actual Vehicles and Infrastructure with Virtual Traffic Environment: [fact sheet]
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In-the-Loop Simulations Provide Improved Methods for Testing of Connected Vehicle Technologies: Simulations Link Actual Vehicles and Infrastructure with Virtual Traffic Environment: [fact sheet]

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    Connected vehicle (CV) technology uses vehicle-to-vehicle and vehicle-to-infrastructure wireless communication to exchange information among vehicles, traffic control systems, and mobile devices. Transportation managers will use connected vehicle data in a range of applications that result in more efficient traffic flow, enhanced safety, improved fuel efficiency, and reduced emissions. The engineers who are developing CV applications need a reliable, standardized way to test those technologies under a wide range of simulated conditions. The Federal Highway Administration (FHWA) Exploratory Advanced Research (EAR) Program is supporting research that incorporates actual vehicle performance data into modeling and simulation platforms to accelerate the ability to study and assess complex CV and vehicle automation systems. Researchers at Texas A&M University Transportation Institute (TTI) are working with partners at Battelle Memorial Institute and Siemens Corporation on a project called “New Approaches for Testing Connected Highway and Vehicle Systems.” The goal of this EAR Program-sponsored project is to develop a simulation environment that incorporates data from real entities—a connected vehicle and signals in a roadway network—into a simulation. At the University of Michigan and the University of Minnesota, EAR Program-supported researchers have developed an in-the-loop system that transmits CV simulation data to a laboratory-housed engine and dynamometer. The project, “Building a Hardware-in-the-Loop Simulation Testbed,” links an actual powertrain with vehicle and traffic simulations to measure fuel consumption and emissions under varying CV scenarios.
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