Government policies on renewing vehicle fleet by introducing newer, cleaner vehicles and removing old, polluting vehicles have significant impacts on air pollution. In this study, the estimated emissions of air pollutants that influence human health are reported together with health endpoints and corresponding mortality and morbidity costs under five alternative road transport policy scenarios, varying in scrapping rate and the shares of hybrid and electric vehicles. Using COPERT software, PM10, PM2.5, NO2, and SO2 emissions are determined for five scenarios. PM2.5 is the most reduced pollutant (41%) if the government adopts the most progressive scenario, followed by PM10 (27%) and NO2 (27%). A total of a maximum of 19,396 premature deaths and 803,328 years of life lost could be saved, corresponding to 252 billion TL cost savings over the 2020-2030 period if the most drastic policy encouraging an introduction of the newer and cleaner vehicles is adopted.