可变信号周期的干线公交分段绿波协调控制方法
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摘要
干线交通信号协调控制是针对地面常规公共交通方式信号优先研究的核心内容之一。本文以提高干线公交的服务水平为目标,以干线公交分段绿波周期时变为研究对象,提出了一种可变周期的动态干线公交分段绿波控制算法。本文以一个单点交叉口为样本,比较了实施新技术前后的公交延误情况和社会车辆的延误情况。结合多属性决策理论提出了评估新技术使用效能的方法。通过一个具体算例对新方法进行了验证,验证结果表明本技术具有极好的工程应用前景。
The technology of arterial traffic signal coordinated control is one of the core contents in studying the conventional public transportation over ground with time priority. With the purpose of improving the service level of the trunk bus, an algorithm of the segmented green waves of conventional arterial public transportation, which was inductive and signal period-variable, was proposed. Taking a single intersection as a sample, bus delays before and after the implementation of new technologies with the delays of social vehicles were compared. Combining with the theory of multiple attribute decision making, a method was proposed to evaluate the efficiency of the new technology. A specific example was given to show the effectiveness of the new method. Results showed that the methodology proposed had excellent engineering application prospects.
The technology of arterial traffic signal coordinated control is one of the core contents in studying the conventional public transportation over ground with time priority. With the purpose of improving the service level of the trunk bus, an algorithm of the segmented green waves of conventional arterial public transportation, which was inductive and signal period-variable, was proposed. Taking a single intersection as a sample, bus delays before and after the implementation of new technologies with the delays of social vehicles were compared. Combining with the theory of multiple attribute decision making, a method was proposed to evaluate the efficiency of the new technology. A specific example was given to show the effectiveness of the new method. Results showed that the methodology proposed had excellent engineering application prospects.
引文
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[2] 马天山,曹玮,乔新宇.城市轨道交通与接运公交换乘优化模型[J].长安大学学报(自然科学版),2013,33(4):80.
[3] CHANG G L,VASUDEVAN M,SU C C.Bus-preemption under adaptive signal control environments[J].Transportation Research Record,1995,1494:146.
[4] 王彬,刘新,李月高.一种基于干线协调的公交信号优先方法及其验证分析[J].公路交通科技,2011,28(增刊1):36.
[5] 别一鸣,王殿海,赵莹莹,等.干线协调交叉口多相公交信号优先控制策略[J].华南理工大学学报(自然科学版),2011,39(10):111.
[6] 王殿海,朱慧,别一鸣,等.干线公交优先信号协调控制方法[J].东南大学学报(自然科学版),2011,41(4):859.
[7] MA W J,NI W,HEAD L,et al.An effective coordinated optimization model for transit priority control under arterial progression[J].Transportation Research Record,2013,2356:71.
[8] WANG B J,WANG W,HU X J,et al.A segmented signal progression model for the modern streetcar system[C]//The 94th Annual Meeting of the Transportation.Washington:National Academy of Sciences 2015.
[9] 梁军,沈伟国,蒋焱,等.基于车联网信息融合多Agent方法的交通事件检测[J].长安大学学报(自然科学版),2014,34(4):159.
[10] 段宗涛,康军,唐蕾,等.车联网大数据环境下的交通信息服务协同体系[J].长安大学学报(自然科学版),2014,34(2):108.
[11] MARINESCU B,COULONDRE J M.A coordinated phase shifting control and remuneration method for a zonal congestion management scheme[C]//Power Systems Conference and Exposition.New York:IEEE PES,2004:72.
[12] KHISTY C J,LALL B K.Transportation engineering:an introduction[M].New Jersey:Prentice Hall,2003.
[13] 王炜.交通工程学[M].南京:东南大学出版社,2012.
[14] 杨佩昆,吴兵.交通管理与控制[M].北京:人民交通出版社,2003.
[15] MANUAL H C.TRB,national research council[M].Washington,D C:Transportation Research Board,2000.
[16] HWANG C L,YOON K.Multiple attribute decision making:methods and applications[M].New York:Springer-Verlag,1981.
[17] DYER J S,FISHBURN P C,STEUE R E,et al.Multiple criteria decision making,multi-attribute utility theory:the next ten years[J].Management Science,1992,38(5):645.
[18] 岳超源.决策理论与方法[M].北京:科学出版社,2003.
[19] 陈晓红,徐选华,曾江洪.基于熵权的多属性大群体决策方法[J].系统工程与电子技术,2007,29(7):1086.