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公路网改扩建决策优化双层规划模型
引用本文:桂滨, 周伟, 王健华, 周丽, 王夏森. 公路网改扩建决策优化双层规划模型[J]. 交通运输工程学报, 2012, 12(5): 79-84. doi: 10.19818/j.cnki.1671-1637.2012.05.011
作者姓名:桂滨  周伟  王健华  周丽  王夏森
作者单位:1.长安大学 公路学院,陕西 西安 71006;;2.同济大学 交通运输工程学院,上海 201804
基金项目:高等学校博士学科点专项科研基金项目,教育部人文社会科学基金项目
摘    要:针对公路网改扩建问题, 在决策优化过程中, 考虑了技术、资金、环境保护以及运营效率等因素。以路网系统的最小交通量为上层模型目标函数, 以最小走行时间为下层模型目标函数, 以路段服务水平、土地占用状况、建设投资等为约束条件, 构建了公路网改扩建决策优化双层规划模型。采用遗传算法求解模型, 并通过济青北线的实例数据进行实证分析。计算结果表明: 济青北线济南—淄博段、淄博—青州段、青州—潍坊段的扩建优化指数分别为2.15、4.09、3.54, 新建优化指数分别为1.87、3.09、2.73, 相同路段的扩建优化指数均高于新建优化指数, 与实际相符。可见, 模型有效。

关 键 词:公路网   改扩建   决策优化   双层规划模型   多目标问题   遗传算法
收稿时间:2012-05-26

Bi-level programming model of decision optimization of reconstruction and expansion for highway network
GUI Bin, ZHOU Wei, WANG Jian-hua, ZHOU Li, WANG Xia-sen. Bi-level programming model of decision optimization of reconstruction and expansion for highway network[J]. Journal of Traffic and Transportation Engineering, 2012, 12(5): 79-84. doi: 10.19818/j.cnki.1671-1637.2012.05.011
Authors:GUI Bin  ZHOU Wei  WANG Jian-hua  ZHOU Li  WANG Xia-sen
Affiliation:1. School of Highway, Chang'an University, Xi'an 710064, Shaanxi, China;;2. School of Transportation Engineering, Tongji University, Shanghai 201804, China
Abstract:Aiming at the reconstruction and expansion problems of highway network, the factors such as technique, fund, environmental protection and operation efficiency were considered during the decision optimization process. The minimum traffuc volume of highway network system was taken as the objective function of upper-level model, the minimum trip time was taken as the objective function of lower-level model, the service level of road section, land occupancy status and construction investment were taken as constraint conditions, and a bi-level programming model of decision optimization of reconstruction and expansion for highway network was set up. Genetic algorithm was used to solve the model, and empirical analysis was carried out by using the example data of Northern Jiqing Highway. Calculation result shows that the expansion optimization indexes of Jinan-Zibo section, Zibo-Qingzhou section and Qingzhou-Weifang section for Northern Jiqing Highway are 2.15, 4.09 and 3.54 respectively, while the newly-built optimization indexes of the road sections are 1.87, 3.09 and 2.73 respectively. The expansion optimization index is higher than the newly-built optimization index for each road section, which is close to actual experience, so the model is effective.
Keywords:highway network  reconstruction and expansion  decision optimization  bi-levelprogramming model  multi-objective problem  genetic algorithm
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