Abstract: Train ticket revenue is a transport index of passenger trains. By using the method of relevance analysis, thisarticle studied the influence rule of passenger train's passenger occupancy rate, mileage and ticket revenue. On thebasis of the linear relevance between train's passenger occupancy rate and ticket revenue, a new passenger train ticketrevenue estimation algorithm was proposed. Based on historical data, the unit mileage revenue measurement tables fordifferent types of trains with different train's passenger occupancy rate were calculated. Compared with the actual data,the calculation of train revenue based on the measurement tables was simple and accurate.