考虑局部排队延误的VMS选址双层规划模型

发布时间：2018-04-12 17:53

本文选题：智能交通 + VMS选址　；参考：《交通运输系统工程与信息》2014年06期

【摘要】：用Monte Carlo模拟技术刻画路网状态的随机性,优先考虑在交通网络瓶颈路段设置可变信息板待选点,建立多目标优化可变信息板选址双层规划模型.上层模型为基于不确定风险决策最小和诱导效益最大的双目标规划模型,下层模型为考虑局部网络有排队延迟现象的随机用户平衡模型.采用增广Lagrange对偶算法与相继平均算法组合求解下层模型,采用非劣排序遗传算法-II求解整个双层规划模型.算例结果表明,在可变信息板资金预算约束下,非劣排序遗传算法-II能够有效求解可变信息板选址的多目标优化问题,得到6组Pareto解.研究结果可为城市道路网可变信息板诱导配置的优化和建设提供决策支持.
[Abstract]:This paper describes the randomness of road network state by Monte Carlo simulation technology, and gives priority to setting up variable information board to be selected on the bottleneck section of traffic network, and establishes the multi-objective optimization variable information board location bilevel programming model.The upper level model is a two-objective programming model based on minimum uncertain risk decision and maximum induced benefit, and the lower level model is a stochastic user equilibrium model considering the phenomenon of queue delay in local network.The combination of augmented Lagrange duality algorithm and sequential average algorithm is used to solve the lower level model, and the non-inferior sort genetic algorithm -II is used to solve the whole bilevel programming model.The results of an example show that the non-inferior sorting genetic algorithm (-II) can effectively solve the multi-objective optimization problem of variable information board location under the constraint of variable information board funding budget. Six sets of Pareto solutions are obtained.The results can provide decision support for the optimization and construction of variable information board configuration in urban road network.
【作者单位】：昆明理工大学交通工程学院;长沙理工大学公路工程省部共建教育部重点实验室;吉林大学汽车仿真与控制国家重点实验室;
【基金】：国家自然科学基金项目(61263025) 公路工程省部共建教育部重点实验室开放基金(kfj100107) 汽车仿真与控制国家重点实验室开放基金(20111116)
【分类号】：U491

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