Optimization Model of Passenger Train Service Plan Based on the Degree of Passenger Satisfaction

The passenger train service plan which is the basis of passenger transportation organization shows how to organize passenger flow into train flow. The degree of passenger satisfaction reflects the difference between perceived service and expected service. Due to the deficiency of transportation supply, a minority of passengers have to take their "originally reluctant" trains instead of "preferred" trains. This paper firstly analyses extra passenger transportation costs in high-speed rail line. Secondly, a multiobjective optimization model of passenger train service plan based on the degree of passenger satisfaction is proposed, in which minimizing the total passenger train stop times and minimizing the extra passenger transportation costs are the two planning objectives. Finally, a case study on the Beijing-Tianjin intercity railway line shows that the model can be solved by the genetic algorithm and can achieve satisfactory results.