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Connected and automated vehicles (CAVs) have the potential to eliminate road vehicle collisions and other traffic incidences. Whilst the main motivation for the introduction of vehicular communication systems is to improve safety, they also provide opportunities to reduce CO2 and other harmful pollutant emissions as well as transportation energy costs. Vehicle communication link with other automobiles and Intelligent Transportation Systems (ITS), when combined with the use of on-board high definition navigation maps, enable the vehicle control systems to optimize their operation and streamline traffic flow. This paper presents the development and evaluation of proof of concept control algorithms which optimize the vehicle’s propulsive energy consumption. Consideration is also given to journey time and other drivability and autonomous driving attributes and constraints.