| With the advance of global transportation intellectualization, our country also proceeds the intelligent transportation study on the existing information production basis. As an important part of railway transportation organization, passenger transportation organization, being not significant in intelligent characteristics, need to be explored deeply. To meet the passengers’demand better, the thesis is focused on intelligent passenger transportation organization methods and passenger train operation plan adjustment methods. Firstly, the author analyzed the development and the research status of intelligent railway passenger transportation, summarized the concepts of intelligent railway and intelligent railway passenger organization, and then proposed its future vision. Next, the passenger train operation plan feedback adjustment methods by real passenger flow were discussed, including the matching relation of passenger train operation plan and passenger flow, passenger train operation plan feedback adjustment model and responding algorithm. The result shows that intelligent railway is a kind of technological innovation in railway field. And the intelligent railway is organized by on-demand mode and integrated management system, composed by four intelligent systems. The thesis also finds that passenger train operation plan and passenger flow are connected by their own elements. At last, the thesis presents the passenger train operation plan feedback adjustment model. It’s a0-1nonlinear programming model. The goal of this model is to search for an optimized way to organize the passenger flow by the least deviation and cost, within the limit of passenger flow’s demand and stops, and the ability of sections on the route. The thesis is of theoretical and practical significance to the development of intelligent railway passenger transportation organization. |