Evaluation of passenger travel plan based on entropy and gray theory

In order to rank all the alternatives, basing on the systematic analysis of influencing factors of passenger travel plan selection, railway passenger travel plan evaluation system is established, using travel cost consumption, travel time consumption, travel convenience, travel fatigue and travel time satisfaction as evaluation index. In order to avoid the deviation of subjective factors, the weight of each index is determined by using the information entropy. The paper extracts optimal value of different indexes to set an ideal solution, apply the method of TOPSIS and grey relational analysis for proposed schemes and ideal solution to achieve the optimal scheduling of travel plans. Finally, the paper makes use of example of Lanzhou-Beijing travel planning to verify that, although some indexes in transfer train operation plan are better than those in the direct train operation plan, overall, the latter has greater advantage.