Received Signal Strength (RSS) is a major performance metric in vehicular communication system design. Experimental measurements of the RSS for vehicular communications are not cost effective. Therefore, off-the-shelf ray-tracing packages are deployed to substitute the costly measurements with RSS simulations. However, the simulation process is too time-consuming if the RSS is required over a long interval of time. The authors propose a new RSS estimation approach using Neural Network (NN) to reduce the computation time. First, ray-tracing is used for simulating the RSS in some instances of time and training the NN.