交通运输系统工程与信息 ›› 2011, Vol. 11 ›› Issue (6): 157-163.

• 系统工程理论与方法 • 上一篇    下一篇

高铁客运站旅客导向标识系统优化算法研究

梁英慧,张 喜*,韩艳欣   

  1. 北京交通大学 交通运输学院,北京 100044
  • 收稿日期:2011-09-06 修回日期:2011-09-21 出版日期:2011-12-25 发布日期:2012-01-04
  • 作者简介:梁英慧(1983-),女,山东郓城人,博士生.
  • 基金资助:

    铁道部计划司项目(2010X009-G).

Optimization Algorithm for Signoriented Identification System of Highspeed Railway Terminal

LIANG Ying-hui, ZHANG Xi, HAN Yan-xin   

  1. School of Traffic and Transportation, Beijing Jiao tong University, Beijing 100044, China
  • Received:2011-09-06 Revised:2011-09-21 Online:2011-12-25 Published:2012-01-04

摘要: 高速铁路的快速发展,对客运站旅客导向标识系统提出更高的要求.由于高速铁路客运站的功能和布局比较复杂,为了更好地为旅客提供便捷、高效的服务,本文根据高铁客运站运营管理实际需求,采用智能优化算法对旅客导向标识系统进行优化设计.首先,以区域诱导信息量最大为目标,建立了旅客导向标识布设位置选择模型;其次,进行退火—遗传算法设计并求解,找到了较优的布设位置;最后,以北京南站地下一层的导向标识系统为例进行实例分析,并且与遗传算法标识位置的布设相比较,验证了退火—遗传算法的可行性和有效性,为高速客运站导向标识系统的优化设计提供了科学依据.

关键词: 系统工程;系统优化;退火&mdash, 遗传算法;旅客导向标识;高铁客运站

Abstract: The highspeed railway development proposes higher requirement for signoriented identification system of highspeed railway terminal. To offer passengers more convenient and efficient services, the paper designs the passengers guiding sign optimization system by intelligent optimization algorithms with consideration of the complex station locations and actual demand of operation and management. First, it proposes the passenger guides choice of location model with the goal of maxmum inductive information of a region. Second, it uses the annealgenetic algorithm to solve the model and find the superior stationing position. Finally, it studies the case of basement storey 1 in Beijing Southern Station. The obtained results are compared with that of the genetic algorithm to verify the feasibility and validity of annealgenetic algorithm. It has provides scientific basis for the optimization design of signoriented identification system of highspeed railway terminal.

Key words: systems engineering, system optimization, annealgenetic algorithm, signoriented identification, passenger transport terminal

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