[1]张立东,王英龙.公交优先模糊控制算法研究[J].智能系统学报,2007,2(3):59-62.
ZHANG Li-dong,WANG Ying-long.Study of a fuzzy control algorithm for public transit pri ority[J].CAAI Transactions on Intelligent Systems,2007,2(3):59-62.
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《智能系统学报》[ISSN 1673-4785/CN 23-1538/TP] 卷:
2
期数:
2007年第3期
页码:
59-62
栏目:
学术论文—智能系统
出版日期:
2007-06-25
- Title:
-
Study of a fuzzy control algorithm for public transit pri ority
- 文章编号:
-
1673-4785(2007)03-0059-04
- 作者:
-
张立东,王英龙
-
山东省科学院计算机中心,山东 济南 250014
- Author(s):
-
ZHANG Li-dong,WANG Ying-long
-
Computer Science Center, Shandong Academy of Sciences, Ji’nan 250014, China
-
- 关键词:
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智能交通; 公交优先模糊控制器; 模糊逻辑; 人均延误
- Keywords:
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ITS; public transit priority fuzzy controller; fuzzy logic; average de lay per person
- 分类号:
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TP273.4,U491.51
- 文献标志码:
-
A
- 摘要:
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为了克服公交定时优先信号控制不够灵活的缺点,设计了公交优先模糊控制算法,该算法以公交误点数值和待行相位排队长度为输入,以当前相位绿灯延时为输出,实现了以路口总延误人数最少为目标的最优控制. 借助Matlab6.5 进行仿真,仿真结果表明了该模糊算法的有效性,模糊控制算法延误人数比定时控制下的延误人数平均低26.6%.
- Abstract:
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To overcome shortcomings of pre-timed Public Transit Priority (PTP) co ntrol algorithms which are not sensitive to live traffic flow fluctuations, a no vel fuzzy logic controller is proposed. This control algorithm, using the degree of bus delay and queuing of cars as input variables, and green signal delay of current phase as an output variable, gives improved control with the target of m inimizing total delay for passengers. Simulation results with Matlab6.5 software show that the fuzzy logic algorithm is more effective than a pre-timed control, with the average delay per person under fuzzy control 26.6% lower than under pr etimed control.
更新日期/Last Update:
2009-05-07