基于万有引力搜索算法的低排放自适应配时

发布时间：2018-08-04 16:02

【摘要】：结合自适应配时策略分析运算时间在低排放自适应配时中的重要性和基本万有引力搜索算法(GSA)较常规搜索算法的优势,以减少交叉口处机动车排放为目的,借鉴低排放自适应配时模型和GSA优化算法原理,提出基于GSA的低排放自适应信号配时方法.以实际交通状态数据为基础数据进行实例验证.结果显示,在相同精度下使用基于GSA配时方法较基于一般优化方法的配时的车均排放低2.82%,运算时间短36.56%.证明了基于GSA的低排放自适应信号配时方法具有较好的优化效果和较高的运算速度,适用于低排放自适应配时的优化.
[Abstract]:Combined with adaptive timing strategy, the importance of computing time in low emission adaptive timing is analyzed, and the advantage of basic universal gravity search algorithm (GSA) is compared with conventional search algorithm, in order to reduce vehicle emissions at intersections. Based on the low emission adaptive timing model and the principle of GSA optimization algorithm, a low emission adaptive signal timing method based on GSA is proposed. Based on the actual traffic state data, an example is given. The results show that under the same precision, the vehicle emission based on GSA timing method is 2.82% lower than that based on general optimization method, and the calculation time is 36.56% shorter. It is proved that the low emission adaptive signal timing method based on GSA has better optimization effect and higher operation speed, and it is suitable for low emission adaptive timing optimization.
【作者单位】：吉林大学交通学院;哈尔滨工业大学交通科学与工程学院;
【基金】：国家自然科学基金青年基金资助项目(51308250);国家自然科学基金青年基金资助项目(51308251) 吉林大学科学前沿与交叉学科资助项目(2013ZY06) 中国博士后科学基金资助项目(2013M541306) 吉林大学研究生创新研究计划资助项目(2014054) 吉林大学竞业杯研究生创新创业项目(2014CXCY032)
【分类号】：U491.54

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