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<a target="_blank" rel="noopener" href="https://fatcat.wiki/container/dw6usryudvc7jn5qxno2wuqpda" style="color: black;">SAE International Journal of Passenger Cars - Electronic and Electrical Systems</a>
Vehicle-to-Vehicle (V2V) and Vehicle-to-Infrastructure (V2I) networks within the Intelligent Transportation System (ITS) lead to safety and mobility improvements in vehicle road traffic. This paper presents case studies that support the realization of the ITS architecture as an evolutionary process, beginning with driver information systems for enhancing feedback to the users, semi-autonomous control systems for improved vehicle system management, and fully autonomous control for improving<span class="external-identifiers"> <a target="_blank" rel="external noopener noreferrer" href="https://doi.org/10.4271/2010-01-2318">doi:10.4271/2010-01-2318</a> <a target="_blank" rel="external noopener" href="https://fatcat.wiki/release/jpqasvu7y5fwjl5d4zy5jhs7eu">fatcat:jpqasvu7y5fwjl5d4zy5jhs7eu</a> </span>
more »... le cooperation and management. The paper will also demonstrate how the automotive, telecom, and data and service providers are working together to develop new ITS technologies. Fuel efficiency can be improved by integrating topographical and geophysical data with automatic vehicle control subsystems. Sentience is a recently completed 2 ½ year collaborative R&D program that was co-funded by innovITS 1 . It was jointly developed with six European partners: Ricardo, innovITS, Jaguar/Land Rover/Ford, Ordnance Survey, Orange, and TRL. The overall achievement of this program is the identification and development of a system to improve the fuel efficiency of vehicles using "electronic horizon" data collected with V2I communications. Sentience performs intelligent speed adaptation based on situational awareness. Sentience is built using a web-based server and mobile client application. The server environment includes the telecommunications infrastructure, GPS satellites, weather data, ITS traffic data, historical traffic trend data, and the Sentience application web-server. The server translates data from the environment, categorizes them, and communicates them to the client using V2I.
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