A New Multiobjective Signal Optimization for Oversaturated Networks
A New Multiobjective Signal Optimization for Oversaturated Networks
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DOI：
10.1109/tits.2011.2125957
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发表时间：
2011-12
影响因子：
8.5
通讯作者：
P. Lertworawanich;M. Kuwahara;M. Miska
中科院分区：
文献类型：
--
作者：
P. Lertworawanich;M. Kuwahara;M. Miska
基于信元传输模型和多目标目标规划技术，提出了一种优化过饱和网络信号时序控制的新方法。提出的模型考虑了交叉口溢出、延误公平性和系统吞吐量。利用遗传算法对新公式进行求解，得到信号配时方案。最后，以一个九交叉网络为例，对所提出的模型和吞吐量最大化策略进行了比较。结果表明，该方法能有效地最小化溢出，平衡时延公平性，为过饱和网络提供合理的系统吞吐量。结果还表明，对于过饱和网络，吞吐量最大化策略并不总是产生最小的溢出，有时在溢出交叉点处的平均链路延迟比所提出的模型提供的差异更大。
This paper presents a new methodology for optimizing the signal timing controls of oversaturated networks based on the cell transmission model and a goal programming technique with multiple objectives. The proposed model accounts for intersection spillovers, equity in delays, and system throughputs. This new formulation is solved by genetic algorithms to obtain signal timing plans. A case study with a nine-intersection network and a comparison between the proposed model and the throughput-maximizing strategy are examined. It is found that the new method can efficiently minimize spillovers, balance delay equity, and provide reasonable system throughputs in their respective order for oversaturated networks. The result also indicates that the throughput-maximizing strategy does not always yield minimum spillovers for oversaturated networks and occasionally provides a larger difference in average link delay at a spillover intersection than the proposed model does.