论文部分内容阅读
车底作业耦合问题是指如何统筹安排车底在站各项技术作业,解决行车及调车作业干扰问题,对实现CTC条件下铁路客技站分散自律控制具有重要意义。以车底和调机、股道、进路等可再生资源为研究对象,结合维修、到达和完工时间窗,建立车底停靠与取送作业窗时排序模型;通过构造车底作业到达时间和交货期的满意度隶属函数,以车底取送时间表为耦合因子,运用现代排序理论,构建车底作业耦合窗时排序模型。采用基本和合成分派规则,结合资源再生过程,提出自律耦合优化算法制订车底在站作业计划。实例表明,所提出的模型与算法能全面、合理地制订车底在站作业计划,有效解决行车及调车作业干扰问题,并充分运用车站各项设备。
The problem of coupling at the bottom of the vehicle refers to how to arrange all the technical operations at the bottom of the vehicle and solve the interference of driving and shunting operations, which is of great significance for the decentralized and autonomous control of the railway passenger station under the CTC. Taking the renewable resources such as the vehicle floor, the transfer road, the road and the road as the research objects, the time window of maintenance, arrival and completion is established, The membership function of delivery satisfaction degree, taking delivery schedule of vehicle as the coupling factor, the modern sequencing theory is used to construct the sequencing model of the coupled operation window of the vehicle bottom. Adopting the basic and synthetic allocation rules, combined with the resource regeneration process, a self-optimizing optimization algorithm is proposed to formulate the operation plan of the vehicle floor. The example shows that the proposed model and algorithm can comprehensively and rationally formulate the operation plan of the vehicle under-station, effectively solve the interference of driving and shunting operations, and make full use of the station equipment.