面向网联汽车环境的单点全感应式信号配时技术

doi:10.13229/j.cnki.jdxbgxb20210067

摘要/Abstract

摘要：

面向网联汽车渗透率达到100%的环境，为了生成更多合理的绿灯切断决定，提出了一种新的单点全感应式信号配时技术。定义了绿灯切断决策区和扩展车长的概念，综合考虑了导向车道的长度、数量以及绿灯切断决策区内网联汽车的数量、位置、车身长度、速度等因素，建立了扩展车长转化率计算方法。在此基础上，评估了机动车相位的交通需求，设计了单点全感应逻辑。选取城市干路相交的典型四路交叉口，利用Vissim和Python创建了仿真试验环境，通过D-最优设计生成试验方案，为新技术交叉口和传统技术交叉口共提供了162 000个试验场景。试验结果显示，相比于传统技术，采用扩展车长转化率推荐阈值的新技术能够降低交叉口车均延误，交叉口的交通负荷等级越高，降幅越明显。

关键词: 交通运输系统工程, 全感应式信号配时, 网联汽车, 独立信号控制交叉口, 交通仿真

Abstract:

To generate more green termination decisions that are appropriate， a fully-actuated signal timing technique for isolated signalized intersections in an environment with 100% penetration rate of connected vehicles is proposed. The concepts of green termination decision zone and vehicle extended length are defined. The lengths and number of approach lanes as well as the number， position， physical length， and speed of connected vehicles in green termination decision zone are comprehensively considered to calculate the conversion rate of vehicle extended length. On this basis， the demand of current vehicle phases is evaluated and a fully-actuated logic is designed. Regarding a typical four-leg intersection of two arterials， the simulation experiment environment is created by Vissim and Python. D-optimal design is performed to develop an experimental scheme. A total of 162，000 experimental scenarios are developed for the intersections with the new and conventional signal timing techniques， respectively. The experimental results indicate that the new technique with the recommended conversion ratio threshold of vehicle extended length has an advantage over the conventional one in reducing the average vehicle delay. The heavier the intersection-wide traffic load， the greater the advantage of the new technique over the conventional one.

Key words: engineering of communications and transportation system, fully-actuated signal timing, connected vehicles, isolated signalized intersection, traffic simulation

中图分类号:

U491

徐洪峰,陈虹瑾,张栋,陆千惠,安娜,耿现彩. 面向网联汽车环境的单点全感应式信号配时技术[J]. 吉林大学学报(工学版), 2022, 52(6): 1324-1336.

Hong-feng XU,Hong-jin CHEN,Dong ZHANG,Qian-hui LU,Na AN,Xian-cai Geng. Fully⁃actuated signal timing technique for isolated signalized intersections in connected vehicle environment[J]. Journal of Jilin University(Engineering and Technology Edition), 2022, 52(6): 1324-1336.

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参考文献 29

1	. 城市道路交通标志和标线设置规范 [S].
2	Steering committee for traffic control and traffic safety. Guidelines for Traffic Signals (RiLSA)[M]. Köln:Road and Transportation Research Association, 2003.
3	Urbanik T, Tanaka A, Lozner B, et al. Signal timing manual, second edition[R]. NCHRP Report 812: 03-103, Transportation Research Board, Washington, DC, 2015.
4	Smaglik E, Bullock D, Urbanik T. Evaluation of lane-by-lane vehicle detection for actuated controllers serving multilane approaches[J]. Transportation Research Record: Journal of the Transportation Research Board, 2005(1925): 123-133.
5	Smaglik E, Bullock D, Sturdevant J, et al. Implementation of lane-by-lane detection at actuated controlled intersections[J]. Transportation Research Record: Journal of the Transportation Research Board, 2007, 2035(1): 81-87.
6	Tian Z, Urbanik T. Green extension and traffic detection schemes at signalized intersections[J]. Transportation Research Record: Journal of the Transportation Research Board, 2006, 1978(1): 16-24.
7	Cesme B, Furth P. Multiheadway gap-out logic for actuated control on multilane approaches[J]. Transportation Research Record: Journal of the Transportation Research Board, 2012, 2311(1): 117-123.
8	Yun I, Best M, Park B. Evaluation of adaptive maximum feature in actuated traffic controller[J]. Transportation Research Record: Journal of the Transportation Research Board, 2007, 2035(2035): 134-140.
9	Zhang G H, Wang Y H. Optimizing minimum and maximum green time settings for traffic actuated control at isolated intersections[J]. IEEE Transactions on Intelligent Transportation Systems, 2011, 12(1): 164-173.
10	徐洪峰, 柳爽, 张栋, 等. 单点全感应式信号控制方法的参数取值[J]. 吉林大学学报: 工学版, 2019, 49(1): 45-52.
	Xu Hong-feng, Liu Shang, Zhang Dong, et al. Configuring parameters of fully actuated control at isolated signalized intersections[J]. Journal of Jilin University (Engineering and Technology Edition), 2019, 49(1): 45-52.
11	Guler S, Menendez M, Meier L. Using connected vehicle technology to improve the efficiency of intersections[J]. Transportation Research Part C-Emerging Technologies, 2014, 46: 121-131.
12	Feng Y, Head K, Khoshmagham S, et al. A real-time adaptive signal control in a connected vehicle environment[J]. Transportation Research Part C-Emerging Technologies, 2015, 55: 460-473.
13	Yang K, Guler S, Menendez M. Isolated intersection control for various levels of vehicle technology: conventional, connected, and automated vehicles[J]. Transportation Research Part C-Emerging Technologies, 2016, 72: 109-129.
14	Feng Y, Zheng J, Liu H. Real-time detector-free adaptive signal control with low penetration of connected vehicles[J]. Transportation Research Record: Journal of the Transportation Research Board, 2018, 2672(18): No. EE0007212.
15	Liang X, Guler S, Gayah V. A heuristic method to optimize generic signal phasing and timing plans at signalized intersections using connected vehicle technology[J]. Transportation Research Part C-Emerging Technologies, 2020, 111: 156-170.
16	Guo Q Q, Li L, Ban X G. Urban traffic signal control with connected and automated vehicles: a survey[J]. Transportation Research Part C-Emerging Technologies, 2019, 101: 313-334.
17	Yao Z, Jiang Y, Zhao B, et al. A dynamic optimization method for adaptive signal control in a connected vehicle environment[J]. Journal of Intelligent Transportation Systems, 2019, 24(2): 184-200.
18	Kamal M, Hayakawa T, Imura J. Development and evaluation of an adaptive traffic signal control scheme under a mixed-automated traffic scenario[J]. IEEE Transactions on Intelligent Transportation Systems, 2020, 21(2): 590-602.
19	Goodall N, Smith B, Park B. Traffic signal control with connected vehicles[J]. Transportation Research Record: Journal of the Transportation Research Board, 2013, 2381: 65-72.
20	. 道路交通信号灯设置与安装规范 [S].
21	. 道路交通信号控制机 [S].
22	徐洪峰, 耿现彩. 面向Ｔ形交叉口的机动车相位固定最小绿灯时间计算[J]. 吉林大学学报: 工学版, 2011, 42(3): 600-605.
	Xu Hong-feng, Geng Xian-cai. Absolute minimum green time calculation for vehicles at 3-leg intersection[J]. Journal of Jilin University (Engineering and Technology Edition), 2011, 42(3): 600-605.
23	徐洪峰, 王殿海. BRT优先控制交叉口的机动车相位固定最小绿灯时间计算方法[J]. 吉林大学学报: 工学版, 2009, 39(): 92-97.
	Xu Hong-feng, Wang Dian-hai. Absolute minimum green time calculation for vehicle phase at signalized intersections with bus rapid transition signal priority[J]. Journal of Jilin University (Engineering and Technology Edition), 2009, 39(Sup.1): 92-97.
24	秦严严, 王昊, 王炜, 等. 自适应巡航控制车辆跟驰模型综述[J]. 交通运输工程学报, 2017, 17(3): 121-130.
	Qin Yan-yan, Wang Hao, Wang Wei, et al. Review of car-following models of adaptive cruise control[J]. Journal of Traffic and Transportation Engineering, 2017, 17(3): 121-130.
25	秦严严, 王昊, 冉斌. CACC车辆跟驰建模及混合交通流分析[J]. 交通运输系统工程与信息, 2018, 18(2): 60-65.
	Qin Yan-yan, Wang Hao, Ran Bin. Car-following modeling for CACC vehicles and mixed traffic flow analysis[J]. Journal of Transportation Systems Engineering and Information Technology, 2018, 18(2): 60-65.
26	王祺, 谢娜, 侯德藻, 等. 自适应巡航及协同式巡航对交通流的影响分析[J]. 中国公路学报, 2019, 32(6): 188-197, 205.
	Wang Qi, Xie Na, Hou De-zao, et al. Effects of adaptive cruise control and cooperative adaptive cruise control on traffic flow[J]. China Journal of Highway and Transport, 2019, 32(6): 188-197, 205.
27	Vanniyasingam T, Daly C, Jin X, et al. Investigating the impact of design characteristics on statistical efficiency within discrete choice experiments: A systematic survey[J]. Contemporary Clinical Trials Communications, 2018, 10: 17-28.
28	Liu X, Yue R X, Chatterjee K. Geometric characterization of D-optimal designs for random coefficient regression models[J]. Statistics and Probability Letters, 2020, 159: No. 108696.
29	Gao L, Zhou J. Minimax D-optimal designs for multivariate regression models with multi-factors[J]. Journal of Statistical Planning and Inference, 2020, 209: 160-173.

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构成要素	下限	上限	步长
交叉口加载机动车交通量总和/（veh·h^-1）	100	6000	10
东西道路加载机动车交通量占比/%	40	60	1
北进口加载机动车交通量占比/%	35	65	1
东进口加载机动车交通量占比/%	35	65	1
北、东、南、西进口的左转机动车占比/%	15	25	0.2
北、东、南、西进口的右转机动车占比/%	5	10	0.2
大型车占比/%	1	5	0.2
中型车占比/%	5	10	0.2

序号	安全距离		饱和流率/（pc·h^-1·ln^-1）
序号	附加部分/m	倍数部分/m	饱和流率/（pc·h^-1·ln^-1）
1	2.5	3.5	1814.65
2	2.3	3.3	1894.70
3	2.1	3.1	1979.50
4	1.9	2.9	2072.20
5	1.7	2.7	2172.00

交通负荷等级		低			中			高
导向车道长度/m		50	60	70	50	60	70	50	60	70
扩展车长转化率阈值	0.1	20.790	20.736	20.358	26.359	26.478	25.583	47.585	46.869	42.640
	0.15	20.589	20.572	20.321	25.378	25.433	25.014	44.322	43.898	41.162
	0.2	20.537	20.544	20.379	25.089	24.971	24.558	43.637	42.239	38.611
	0.25	20.534	20.563	20.370	24.747	24.638	24.241	42.548	40.460	36.590
	0.3	20.508	20.566	20.335	24.465	24.402	24.003	41.593	38.707	35.319
	0.35	20.502	20.498	20.339	24.336	24.240	24.063	40.635	37.787	35.213
	0.4	20.464	20.498	20.323	24.193	24.259	24.139	39.931	38.077	35.520
	0.45	20.422	20.490	20.317	24.108	24.348	24.297	40.938	39.075	36.455
	0.5	20.418	20.482	20.322	24.212	24.478	24.457	43.703	41.294	38.279
	0.55	20.424	20.488	20.328	24.370	24.670	24.627	48.999	46.194	42.406
	0.6	20.409	20.488	20.331	24.661	24.926	24.848	56.176	55.134	50.444
	0.65	20.406	20.489	20.332	25.198	25.350	25.139	63.154	63.592	60.112
	0.7	20.410	20.491	20.332	25.567	25.649	25.460	66.188	67.385	65.226
	0.75	20.412	20.491	20.333	25.793	25.901	25.693	67.424	68.455	66.970
	0.8	20.411	20.492	20.333	25.933	26.080	25.834	67.865	68.765	67.281
	0.85	20.412	20.492	20.333	26.057	26.169	25.908	68.030	68.837	67.207
	0.9	20.411	20.492	20.333	26.103	26.261	25.981	67.937	68.713	67.238

导向车道长度/m	交通负荷等级
导向车道长度/m	低	中	高
50	0.45、0.5、0.55、0.6、0.65、0.7、0.75、0.8、0.85、0.9	0.45	0.4
60	0.35、0.4、0.45、0.5、0.55、0.6、0.65、0.7、0.75、0.8、0.85、0.9	0.35、0.4	0.35
70	0.1、0.15、0.25、0.3、0.35、0.4、0.45、0.5、0.55	0.3	0.3、0.35

导向车道长度/m	交通负荷等级	新技术交叉口	传统技术交叉口
50	低	20.422	20.675
	中	24.108	25.291
	高	39.931	45.867
60	低	20.498	20.771
	中	24.240	25.458
	高	37.787	44.996
70	低	20.335	20.632
	中	24.003	25.255
	高	35.319	41.600