交通运输系统工程与信息 ›› 2014, Vol. 14 ›› Issue (2): 168-175.

• 系统工程理论与方法 • 上一篇    下一篇

城市商业中心区机械式立体车库规划模型与算法

陈 莉*1,王同洲2,宋结焱3,王 娜3,段 刚3   

  1. 1.兰州城市学院,数学学院,兰州730070;2.中铁集装箱运输有限责任公司,兰州分公司,兰州730070; 3.兰州交通大学,交通运输学院,兰州730070
  • 收稿日期:2013-08-29 修回日期:2013-12-10 出版日期:2014-04-25 发布日期:2014-07-07
  • 作者简介:陈莉(1979-),女,甘肃天水人,讲师,博士.
  • 基金资助:

    国家自然科学基金(61164003);甘肃省财政厅基本科研业务费(213060);兰州交通大学青年科学研究基金项目 (2011020).

Model and Algorithm of Mechanical Stereo Garage Planning in Central Business District

CHEN Li 1 , WANG Tong-zhou 2 , SONG Jie-yan 3 , WANG Na 3 , DUAN Gang 3   

  1. 1. Department of Mathematics, Lanzhou City University, Lanzhou730070, China; 2. Lanzhou Branch, China Railway Container Transport Corp. Ltd., Lanzhou730070, China; 3. School of Traffic and Transportation, Lanzhou Jiaotong University, Lanzhou730070, China
  • Received:2013-08-29 Revised:2013-12-10 Online:2014-04-25 Published:2014-07-07

摘要:

由于机械式立体车库具有占地少容量大的特点,非常适合在城市商业中心区大 规模推广.针对立体车库的选址、建设规模及收费标准的制定,以规划期内利润最大为目 标,以资金预算、可利用土地面积、车库利用率、出行需求及收费限制等为约束,建立了停 车场规划综合优化模型.为克服简单遗传算法易陷入早熟的缺陷,设计了基于种群多样性 控制的遗传算法,在寻优过程中始终保持一定数量的不可行解,与可行解进行遗传运算, 并在计算一定次数后重新产生一些个体代替那些较差的个体,用以提高种群多样性.最后 通过实例验证了模型和算法的有效性.

关键词: 城市交通, 优化;非线性混合整数规划;机械式立体车库规划;种群多样性控制 遗传算法

Abstract:

The mechanical stereo garage is appropriate for popularization in the central business district, owing to its character of less space and higher capacity. The comprehensive optimization on the parking lot planning is proposed, whose objective is to maximize the profit in the planning horizon and subject to the constraints of investment budget, area available, park usage ratio, parking demand and charge, in order to make a decision of its location, scale and charge scenario. The genetic algorithm based on population diversity control is proposed to overcome the disadvantage of premature in simple genetic algorithm. Some infeasible solutions are kept in the computation and performed for genetic operators with feasible solutions. After certain iteration, some new individuals are produced to substitute for the existing ones whose evaluations are bad. All the above methods aim to approve population diversity. At last, an example is implemented to verify the effectiveness and efficiency of the model and GA.

Key words: urban traffic, optimization, nonlinear hybrid integer programming, mechanical stereo garage planning, genetic algorithm based on population diversity control

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