干道交织区通行能力最大化的合流车道控制
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摘要
城市干道交织区内大量的车辆交织将严重降低道路的通行能力,本文根据车辆交织行为及各汇入车道交通量的不均衡性,提出了交织区合流车道信号控制方式.采用交织折减系数,建立了车道控制下的交织区实际通行能力计算模型;随后,以交织区内实际通行能力最大为目标函数,交织区内交织比例和相位控制方案为约束条件,提出了合流车道最优信号配时模型;最后以实际数据进行验证,汇入控制的实际通行能力与模型计算结果的误差仅为2.44%,验证了通行能力计算模型的有效性.模型计算结果表明:随着高峰期间汇入交通量的增加,交织区内存在大幅度的通行能力骤减,采用分车道信号控制后,交织区的实际通行能力与实际过车数得到明显提升.
A lot of weaving traffic at weaving section contributed to"capacity-drop". In order to improve the maximum traffic capacity of weaving section, this paper proposes a new lane signal control method to regular the traffic volume and interleaving ratio. With consideration of the operation characteristics of weaving section and the traffic imbalance feature at each entrance lane, the reduction coefficient of weaving traffic was adopted. A capacity calculation model for the weaving traffic under the lane signal control is developed. This study focus on the best scheme of lane signal control, accordingly, the optimization model is established. The objective function is to maximize the weaving capacity and the constraints are the safety space headway between two adjacent phases and the scheme of phase. A mean error in the weaving section capacity(about 2.44%) is observed when comparing the capacity model calculation to field data at a representative urban arterial weaving section. The results show that a huge capacity drop of weaving section can be observed, along with the increase of traffic volume. After adopting the lane signal control strategy, the actual capacity of weaving section increased significantly.
A lot of weaving traffic at weaving section contributed to"capacity-drop". In order to improve the maximum traffic capacity of weaving section, this paper proposes a new lane signal control method to regular the traffic volume and interleaving ratio. With consideration of the operation characteristics of weaving section and the traffic imbalance feature at each entrance lane, the reduction coefficient of weaving traffic was adopted. A capacity calculation model for the weaving traffic under the lane signal control is developed. This study focus on the best scheme of lane signal control, accordingly, the optimization model is established. The objective function is to maximize the weaving capacity and the constraints are the safety space headway between two adjacent phases and the scheme of phase. A mean error in the weaving section capacity(about 2.44%) is observed when comparing the capacity model calculation to field data at a representative urban arterial weaving section. The results show that a huge capacity drop of weaving section can be observed, along with the increase of traffic volume. After adopting the lane signal control strategy, the actual capacity of weaving section increased significantly.
引文
[1]孙剑,胡家琦,孙杰.城市快速路交织区通行能力估计模型[J].中国公路学报,2016,29(4):114-122.[SUN J,HU J Q,SUN J.Capacity estimation model on weaving segments of urban expressway[J]China Journal of Highway and Transport,2016,29(4):115-121.]
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[9]段荟,刘攀,李志斌,等.基于强化学习的汇流瓶颈区可变限速策略研究[J].交通运输系统工程与信息,2015,15(1):55-61.[DUAN H,LIU P,LI Z B,et al.Variable speed limit control at freeway merge bottlenecks based on reinforcement learning[J].Journal of Transportation Systems Engineering and Information Technology,2015,15(1):55-61.]
[10]CARLSON R C,PAPAMICHAIL I,PAPAGEORGIOUM,et al.Optimal motorway traffic flow control involving variable speed limits and ramp metering[J].Transportation Science,2010,44(2):238-253.
[11]CARLSON R C,MANOLIS D,PAPAMICHAIL I,et al.Integrated ramp metering and mainstream traffic flow control on freeways using variable speed limits[J].Transportation Research Part C,2012,48(2307):1578-1588.
[12]GRUMERT E,MA X,TAPANI A.Analysis of a cooperative variable speed limit system using microscopic traffic simulation[J].Transportation Research Part C Emerging Technologies,2015(52):173-186.
[13]CARLSON R C,PAPAMICHAIL I,PAPAGEORGIOUM.Integrated feedback ramp metering and mainstream traffic flow control on motorways using variable speed limits[J].Transportation Research Part C,2014,46(2307):209-221.
[14]KAMEL B,BENASSER A,JOLLY D.Coordination of ramp metering and variable speed limits[J].Ifac Proceedings Volumes,2009,42(15):606-611.
[2]曲昭伟,曹宁博,陈永恒,等.城市快速路入口交织区通行能力模型[J].东南大学学报(英文版),2016,32(2):226-232.[QU Z W,CAO N B,CHEN Y H,et al.Capacity model of on-ramp merging section of urban expressway[J].Journal of Southeast University(English Edition),2016,32(2):226-232.]
[3]TANAKA S,HASEGAWA N,IIZUKA D,et al.Evaluation of vehicle control algorithm to avoid conflicts in weaving sections under fully-controlled condition in urban expressway[J].Transportation Research Procedia,2017(21):199-207.
[4]TANG T Q,LI J G,YANG S C,et al.Effects of on-ramp on the fuel consumption of the vehicles on the main road under car-following model[J].Physica A Statistical Mechanics&Its Applications,2015,419(44):293-300.
[5]SU D Y,LU X Y,WANG Z.Coordinated ramp metering and intersection signal control[J].International Journal of Transportation Science&Technology,2014,3(3):179.
[6]PASQUALE C,SACONE S,SIRI S,et al.A multi-class model-based control scheme for reducing congestion and emissions in freeway networks by combining ramp metering and route guidance[J]Transportation Research Part C:Emerging Technologies,2017(80):384-408.
[7]PER STR?MGREN,GUNNAR LIND.Harmonization with variable speed limits on motorways[J].Transportation Research Procedia,2016(15):664-675.
[8]SADAT M,CELIKOGLU H B.Simulation-based variable speed limit systems modelling:An overview and a case study on istanbul freeways[J].Transportation Research Procedia,2017(22):607-614.
[9]段荟,刘攀,李志斌,等.基于强化学习的汇流瓶颈区可变限速策略研究[J].交通运输系统工程与信息,2015,15(1):55-61.[DUAN H,LIU P,LI Z B,et al.Variable speed limit control at freeway merge bottlenecks based on reinforcement learning[J].Journal of Transportation Systems Engineering and Information Technology,2015,15(1):55-61.]
[10]CARLSON R C,PAPAMICHAIL I,PAPAGEORGIOUM,et al.Optimal motorway traffic flow control involving variable speed limits and ramp metering[J].Transportation Science,2010,44(2):238-253.
[11]CARLSON R C,MANOLIS D,PAPAMICHAIL I,et al.Integrated ramp metering and mainstream traffic flow control on freeways using variable speed limits[J].Transportation Research Part C,2012,48(2307):1578-1588.
[12]GRUMERT E,MA X,TAPANI A.Analysis of a cooperative variable speed limit system using microscopic traffic simulation[J].Transportation Research Part C Emerging Technologies,2015(52):173-186.
[13]CARLSON R C,PAPAMICHAIL I,PAPAGEORGIOUM.Integrated feedback ramp metering and mainstream traffic flow control on motorways using variable speed limits[J].Transportation Research Part C,2014,46(2307):209-221.
[14]KAMEL B,BENASSER A,JOLLY D.Coordination of ramp metering and variable speed limits[J].Ifac Proceedings Volumes,2009,42(15):606-611.
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