面向网络效率的交通网络设计优化方法
发布时间：2018-11-15 20:11
【摘要】：通过算例计算和比较分析,在选择合理的定量化交通网络效率计算方法的基础上,建立面向网络效率的交通网络设计双层规划模型,并基于遗传算法和Frank-Wolfe算法设计模型的求解方法。计算分析结果表明:相对于传统的以系统总阻抗最小为目标的优化决策方案,本文所提出的以网络效率最优为目标的优化方案,更注重于提高当前交通网络基础设施的利用率和流量分布的均衡性,从而能以最小的投入在最大程度上缓解交通网络拥堵,并能高效解决路段车流分布不均及个别路段的过饱和等矛盾。
[Abstract]:On the basis of selecting reasonable quantitative traffic network efficiency calculation method, a traffic network design bilevel programming model for network efficiency is established by example calculation and comparative analysis. And based on genetic algorithm and Frank-Wolfe algorithm design model solution method. The results of calculation and analysis show that compared with the traditional optimization scheme with the minimum total impedance as the objective, this paper proposes an optimization scheme with the optimal network efficiency as the objective. More attention should be paid to improving the utilization ratio of current transportation network infrastructure and the balance of traffic distribution, so as to reduce traffic congestion to the greatest extent with minimal investment. It can efficiently solve the problems of uneven distribution of traffic flow and supersaturation of individual sections.
【作者单位】： 中南大学通运输工程学院;
【基金】：国家自然科学基金资助项目(71101155) 湖南省自然科学基金资助项目(2015JJ2184) 中南大学研究生自主探索创新项目(2015zzts208)
【分类号】：U113
本文编号：2334328
[Abstract]:On the basis of selecting reasonable quantitative traffic network efficiency calculation method, a traffic network design bilevel programming model for network efficiency is established by example calculation and comparative analysis. And based on genetic algorithm and Frank-Wolfe algorithm design model solution method. The results of calculation and analysis show that compared with the traditional optimization scheme with the minimum total impedance as the objective, this paper proposes an optimization scheme with the optimal network efficiency as the objective. More attention should be paid to improving the utilization ratio of current transportation network infrastructure and the balance of traffic distribution, so as to reduce traffic congestion to the greatest extent with minimal investment. It can efficiently solve the problems of uneven distribution of traffic flow and supersaturation of individual sections.
【作者单位】： 中南大学通运输工程学院;
【基金】：国家自然科学基金资助项目(71101155) 湖南省自然科学基金资助项目(2015JJ2184) 中南大学研究生自主探索创新项目(2015zzts208)
【分类号】：U113
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