Connected and automated vehicles represent one of the main technological advances for the automotive field, with the aim of improving safety and human daily services. In this work the current state of the art about the related most used technologies is analyzed, giving informations about the hardware architecture and the communication modes too (V2V/V2I/V2N). The object of the thesis is to explain the Server Local Dynamic Map (S-LDM) development as part of the 5G-CARMEN project with a performance evaluation related to the main modules composing this novel automotive services. The S-LDM is a 5G-enabled Mobile Edge Computing (MEC) service storing a centralized local dynamic map of the road, to which the vehicles continuously uploads data using ETSI ITS-G5 standardized messages which are delivered thanks to the AMQP messaging protocol.