Abstract:

Multi- group train operation is one important part of the urban rail transit network operation technologies. In order to strengthen the transport capacity under the condition of certain line capacity. An optimization modal for vehicle purchase strategy of urban rail transit based on multi- group train is established, which is aimed to minimize the generalized cost. The constraints are maximum purchase frequency, minimum purchase interval, and the maximum purchase number of vehicles. And a two- phase mathematical programming algorithm is also proposed. The results indicate that under the certain passenger demand and single train formation in the future, the scheme of multi-group train is adopted in the near future and single train formation is adopted in initial stage and in the future can reduce the travel cost of passengers and the cost of operation by 16.48% and 25.99%, although it increases the driver cost by 18.6%. This is better than single train formation adopted in initial stage, the near future and future.

Key words: urban traffic, transport capacity strength, vehicle purchase strategy optimization model, twophase genetic algorithm, multi-group train

摘要：

多编组运营是城市轨道交通系统网络化运营组织的重要方法之一.本文针对轨道交通多编组方案下列车运能加强问题，在线路通过能力一定的条件下，以最大购置次数、最小购置间隔及年度最大购置辆数等为约束条件，以广义费用最小为目标，构建了多编组方案下的城市轨道交通车辆购置策略优化模型，并设计两阶段遗传算法求解.算例分析表明，在给定需求和远期单一列车编组假设下，初期和远期采用单一编组，近期采用多编组的方案，虽然司乘成本增加18.6%，但乘客出行费用和列车运行成本分别减少 16.48%和25.99%，这较初、近、远期均采用单一编组方案效益更佳.

关键词: 城市交通, 运能加强, 车辆购置策略优化模型, 两阶段遗传算法, 多编组