流线搭接下的交叉口最优控制方案算法
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摘要
为进一步提升信号交叉口控制方案的控制效率,提出一种考虑流线搭接的最优信号控制方案算法.算法首先分析和细化流线相容关系,确定相位流线组合;然后将相位流线组合采用数组表示并随机抽样排列,根据信号控制方案相位流线的设置要求,充分考虑流线搭接,选取满足条件的相位组合方案作为交叉口可行相位组合方案;最后结合已有的配时模型,计算信号相位配时及车辆平均延误,通过对比车辆平均延误,选取最小延误对应的控制方案作为交叉口最优控制方案.结果表明:算法所确定方案的车辆平均延误相比环栅结构相位组合方案减少0.3 s/pcu,分流式相位组合方案减少0.5 s/pcu,组合式相位组合方案减少4.5 s/pcu,由此说明此方法可行.
To improve the control efficiency of the signalized intersection control scheme, the algorithm for optimal intersection signalization scheme was proposed by considering movement lapping. Firstly, the movement compatibility relation in intersections were analyzed and refined, and the phase movements' combination was determined. Then, the phase movements' combination was represented and the random samplings were re-arranged. According to the phase setting requirements of intersection signal control scheme, the feasible phase combination(FPC) schemes for intersections were obtained by selecting the phase combination schemes satisfying the condition and consideration of the movement lapping. Finally, the signal phase timing and average vehicle delay were calculated by combining the existing timing model, and the control scheme corresponding to the minimum average delay was selected as the optimal control scheme of the intersection by comparing the average vehicle delay. Analysis results showed that the average delay of movement vehicles under the proposed scheme was reduced by 0.3 s/pcu compared with the ring barrier controller structure phase combination scheme(RBS), 0.5 s/pcu compared with the diffluence phase combination scheme(DS), and 4.5 s/pcu compared with the combination phase combination scheme(CS). Therefore, it showed that the proposed method is feasible.
To improve the control efficiency of the signalized intersection control scheme, the algorithm for optimal intersection signalization scheme was proposed by considering movement lapping. Firstly, the movement compatibility relation in intersections were analyzed and refined, and the phase movements' combination was determined. Then, the phase movements' combination was represented and the random samplings were re-arranged. According to the phase setting requirements of intersection signal control scheme, the feasible phase combination(FPC) schemes for intersections were obtained by selecting the phase combination schemes satisfying the condition and consideration of the movement lapping. Finally, the signal phase timing and average vehicle delay were calculated by combining the existing timing model, and the control scheme corresponding to the minimum average delay was selected as the optimal control scheme of the intersection by comparing the average vehicle delay. Analysis results showed that the average delay of movement vehicles under the proposed scheme was reduced by 0.3 s/pcu compared with the ring barrier controller structure phase combination scheme(RBS), 0.5 s/pcu compared with the diffluence phase combination scheme(DS), and 4.5 s/pcu compared with the combination phase combination scheme(CS). Therefore, it showed that the proposed method is feasible.
引文
[1] GULER S I, CASSIDY M J. Strategies for sharing bottleneck capacity among buses and cars[J]. Transportation Research Part B, 2012, 46(10):1334
[2] LIU H, HAN K, GAVAH V V, et al. Data-driven linear decision rule approach for distributionally robust optimization of on-line signal control[J]. Transportation Research Part C, 2015, 59:260
[3] ZHANG L, YIN Y, WASHBURN S. Simulation-based robust optimization for signal timing and setting[J]. Genetic Algorithms, 2013, 66(7):58
[4] HE Q, HEAD K L, DING J. Multi-modal traffic signal control with priority signal actuation and coordination[J]. Transportation Research Part C, 2014, 46(46):65
[5] CHANG T H, SUN G Y. Modeling and optimization of an oversaturated signalized network[J]. Transportation Research Part B, 2004, 38(8):687
[6] HAN K, GAYAH V V, PICCOLI B, et al. On the continuum approximation of the on-and-off signal control on dynamic traffic networks[J]. Transportation Research Part B, 2014, 61(1):73
[7] LUCAS D E, MIRCHANDANI P B, HEAD K L. Using remote simulation to evaluate real-time traffic control strategies[J]. Transportation Research Record, 2000, 1727:1
[8] LIU H X, WU X, MA W, et al. Real-time queue length estimation for congested signalized intersections[J]. Transportation Research Part C, 2009, 17(4):412
[9] 荣建, 何民, 陈春妹. 信号交叉口排队长度动态计算方法研究[J]. 中国公路学报, 2002, 15(3):101 RONG Jian, HE Min, CHEN Chunmei. Dynamicmodel of calculating queue length at signalized intersection[J]. China Journal of Highway and Transport, 2002, 15(3):101
[10]张鹏, 常玉林. 信号交叉口延误-通行能力联合优化配时方法研究[J]. 交通运输系统工程与信息, 2008, 8(1):118 ZHANG Peng, CHANG Yulin. Signal-timing ofintersections based on integrated optimization of delay and capacity[J]. Journal of Transportation Systems Engineering and Information Technology, 2008, 8(1): 118
[11]高云峰, 徐立鸿, 胡华,等. 交叉口定周期信号控制多目标优化方法[J]. 中国公路学报, 2011, 24(5):82 GAO Yunfeng, XU Lihong, HU Hua, et al. Multi-objectiveoptimization method for fixed-time signal control at intersection[J]. China Journal of Highway and Transport, 2011, 24(5):82
[12]ZHANG G, WANG Y. Optimizing minimum and maximum green time settings for traffic actuated control at isolated intersections[J]. IEEE Transactions on Intelligent Transportation Systems, 2011, 12(1):164
[13]CAI J, LIU H Y, ZHANG L H, et al. The optimal unit green extension—considering different demand patterns[J]. Applied Mechanics & Materials, 2013, 409-410:1357
[14] 王浩, 彭国雄, 杨晓光. 相位相序安排与交叉口设计之间的关系[J]. 公路交通科技,2004, 21(2): 92 WANG Hao, PENG Guoxiong, YANG Xiaoguang. The relationship between traffic signal phasing sequence and intersection geometry design[J]. Journal of Highway and Transportation Research and Development, 2004, 21(2):92
[15]ZHENG X, RECKER W. An adaptive control algorithm for traffic-actuated signals[J]. Transportation Research Part C, 2013, 30(5):93
[16]赵忠杰, 刘小强, 谢光秋. 单交通路口变相位变周期信号控制[J].长安大学学报(自然科学版), 2005, 25(6): 70 ZHAO Zhongjie, LIU Xiaoqiang, XIE Guangqiu. Changeablephases and changeable periods signal control at traffic intersection[J]. Journal of Chang’an University(Natural Science Edition), 2005, 25(6):70
[17]FENG Y, HEAD K L, KHOSHMAGHAM S, et al. A real-time adaptive signal control in a connected vehicle environment[J]. Transportation Research Part C, 2015, 55:460
[18]Highway capacity manual[M]. Washington DC: Transportation Research Board of the National Academies, 2010
[2] LIU H, HAN K, GAVAH V V, et al. Data-driven linear decision rule approach for distributionally robust optimization of on-line signal control[J]. Transportation Research Part C, 2015, 59:260
[3] ZHANG L, YIN Y, WASHBURN S. Simulation-based robust optimization for signal timing and setting[J]. Genetic Algorithms, 2013, 66(7):58
[4] HE Q, HEAD K L, DING J. Multi-modal traffic signal control with priority signal actuation and coordination[J]. Transportation Research Part C, 2014, 46(46):65
[5] CHANG T H, SUN G Y. Modeling and optimization of an oversaturated signalized network[J]. Transportation Research Part B, 2004, 38(8):687
[6] HAN K, GAYAH V V, PICCOLI B, et al. On the continuum approximation of the on-and-off signal control on dynamic traffic networks[J]. Transportation Research Part B, 2014, 61(1):73
[7] LUCAS D E, MIRCHANDANI P B, HEAD K L. Using remote simulation to evaluate real-time traffic control strategies[J]. Transportation Research Record, 2000, 1727:1
[8] LIU H X, WU X, MA W, et al. Real-time queue length estimation for congested signalized intersections[J]. Transportation Research Part C, 2009, 17(4):412
[9] 荣建, 何民, 陈春妹. 信号交叉口排队长度动态计算方法研究[J]. 中国公路学报, 2002, 15(3):101 RONG Jian, HE Min, CHEN Chunmei. Dynamicmodel of calculating queue length at signalized intersection[J]. China Journal of Highway and Transport, 2002, 15(3):101
[10]张鹏, 常玉林. 信号交叉口延误-通行能力联合优化配时方法研究[J]. 交通运输系统工程与信息, 2008, 8(1):118 ZHANG Peng, CHANG Yulin. Signal-timing ofintersections based on integrated optimization of delay and capacity[J]. Journal of Transportation Systems Engineering and Information Technology, 2008, 8(1): 118
[11]高云峰, 徐立鸿, 胡华,等. 交叉口定周期信号控制多目标优化方法[J]. 中国公路学报, 2011, 24(5):82 GAO Yunfeng, XU Lihong, HU Hua, et al. Multi-objectiveoptimization method for fixed-time signal control at intersection[J]. China Journal of Highway and Transport, 2011, 24(5):82
[12]ZHANG G, WANG Y. Optimizing minimum and maximum green time settings for traffic actuated control at isolated intersections[J]. IEEE Transactions on Intelligent Transportation Systems, 2011, 12(1):164
[13]CAI J, LIU H Y, ZHANG L H, et al. The optimal unit green extension—considering different demand patterns[J]. Applied Mechanics & Materials, 2013, 409-410:1357
[14] 王浩, 彭国雄, 杨晓光. 相位相序安排与交叉口设计之间的关系[J]. 公路交通科技,2004, 21(2): 92 WANG Hao, PENG Guoxiong, YANG Xiaoguang. The relationship between traffic signal phasing sequence and intersection geometry design[J]. Journal of Highway and Transportation Research and Development, 2004, 21(2):92
[15]ZHENG X, RECKER W. An adaptive control algorithm for traffic-actuated signals[J]. Transportation Research Part C, 2013, 30(5):93
[16]赵忠杰, 刘小强, 谢光秋. 单交通路口变相位变周期信号控制[J].长安大学学报(自然科学版), 2005, 25(6): 70 ZHAO Zhongjie, LIU Xiaoqiang, XIE Guangqiu. Changeablephases and changeable periods signal control at traffic intersection[J]. Journal of Chang’an University(Natural Science Edition), 2005, 25(6):70
[17]FENG Y, HEAD K L, KHOSHMAGHAM S, et al. A real-time adaptive signal control in a connected vehicle environment[J]. Transportation Research Part C, 2015, 55:460
[18]Highway capacity manual[M]. Washington DC: Transportation Research Board of the National Academies, 2010