【24h】

Improved Genetic Algorithm Based Passenger Flow Control in Subway

机译:基于改进遗传算法的地铁客流控制

获取原文
获取原文并翻译 | 示例

摘要

This paper is in the background that improvement of organization for urban rail transit operation along with its rapid development is an urgent need. Aimed at solving the organization problem of mass passenger flow, passenger flow control in subway is analyzed. To increase the control quality and efficiency, the method of improved genetic algorithm is studied. Finally, the algorithm is applied to a case study to verify its validity.
机译:本文在这样的背景下,迫切需要改善城市轨道交通运营组织及其快速发展。为了解决大规模客流的组织问题,对地铁的客流控制进行了分析。为了提高控制质量和效率,研究了一种改进的遗传算法。最后,将该算法应用于案例研究以验证其有效性。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号