Abstract: This study involves working with Amtrak, the national railroad passenger corporation, to develop a revenue management model. The revenue management department of Amtrak provides the sales data of Auto Train, a service of Amtrak that allows passengers to bring their vehicles on the train. We analyze the demand structure from sales data and build a mathematical model to describe the sales process for Auto Train. We further develop an algorithm to calculate the optimal pricing strategy that yields the maximum revenue. Because of the distinctive service provided by Auto Train, our findings make important contribution to the revenue management literature.