Genetic Optimization of an Operation Scheme for the Flow Assignment Method Based on Level Classification

The main difference between optimization model of train operation plan under the condition which grading passengers and trains level and traditional optimization model is: the mismatch between the passengers level and the trains level will generate additional time consumption, passengers at different levels trains need to transfer. On the basis of existing research, it constructs the hierarchical transfer network; the analysis of the characteristics of a single network showed that there is no transfer arc and network cost in this network, traffic assignment problem is equivalent to the minimum stops problem. This reasearch construct a complete network flow assignment process which is considering the complexity of hybrid network, combined with the passenger travel characteristics and a single network characteristics, using layered flow assignment method to simplify the process of flow assignment. Finally, taking the Beijing-Shanghai high-speed railway as an example, calculate forecasting passenger flow and operation plan in 2015 respectively by traffic assignment method before and after simplification.