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基于模糊控制的公交信号优先控制方法研究 被引量:9

Study of Transit Signal Priority Based on Fuzzy Control
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摘要 面对城市公共交通优先发展中遇到的交叉口公交信号优先控制问题,以降低交叉口人均延误和公交车延误为目标,提出了基于3层模糊控制器的交叉口公交信号优先主动控制模型,通过改进针对车流交通需求强度、相位放行顺序、绿灯时间优化的3层模糊推理控制器,最终输出相位绿灯放行时间延长和相序提前2种控制策略。仿真算例分析表明,与普通固定配时控制相比,公交车平均延误和人均延误分别降低27%,14.2%;与公交信号优先感应控制相比,公交车平均延误和人均延误分别降低13.7%,21.7%,说明了所提方法的有效性。 For the transit signal priority control problem of an intersection in the urban public transportation development.Since the transit signal priority at intersections has obstructed the development of urban public transit priority,an active transit signal priority control model for intersection based on three layer fuzzy controller is proposed to reduce the average delay of passegners and buses.By improving the three layer fuzzy controller for the traffic flow demand intensity,the phase sequence and the green time optimization,two control strategies were generated:one is to extend the green time for transit buses and the other is to advance the phase sequence.The simulation result shows that comparing with timefixed signal control,the proposed signal control model reduces the delay of transit buses and passengers by 27% and 14.2%,and comparing with transit-priority-oriented induction control,the proposed model makes the bus delay and the per capita delay reduced 13.7% and 21.7%,which proves the effectiveness of the model.
出处 《交通信息与安全》 2015年第1期35-40,共6页 Journal of Transport Information and Safety
基金 交通运输部科技项目(批准号:2012-364-X18-107) 国家自然科学基金项目(批准号:61174184) 广东省交通运输厅科技项目(批准号:科技-2013-02-055)资助
关键词 公交信号优先 模糊控制 交通需求强度 公交车延误 bus priority fuzzy control traffic flow demand intensity bus delay
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