In this paper, we simulate the effects of policies intended to reduce auto travel, emissions, and fuel use. We review previous studies of auto pricing and land use policies, both the empirical research and simulation studies. We then describe our methods for modeling the Sacramento, California, region, which include the use of a four-step travel demand model and the California emissions models. We find that: 1o land use intensification near to passenger rail stations, 2. strong parking, fuel, and all-day roadway pricing policies, and 3. rail transit expansion together may be able to reduce travel by 10%, fuel use by i4%, and emissions by 8-14% in 20 years. We interpret our findings in terms of the earlier studies and discuss the limitations of our models. Finally, we suggest improvements in modeling to better simulate the effects of these policies.