[1]俞灏,刘攀,徐铖铖,等.交通诱导与信号控制协同优化策略仿真[J].东南大学学报(自然科学版),2017,47(5):1026-1031.[doi:10.3969/j.issn.1001-0505.2017.05.029]
 Yu Hao,Liu Pan,Xu Chengcheng,et al.Optimal integration schemes for traffic vehicle route system and traffic signal control system using traffic simulation[J].Journal of Southeast University (Natural Science Edition),2017,47(5):1026-1031.[doi:10.3969/j.issn.1001-0505.2017.05.029]
点击复制

交通诱导与信号控制协同优化策略仿真()
分享到:

《东南大学学报(自然科学版)》[ISSN:1001-0505/CN:32-1178/N]

卷:
47
期数:
2017年第5期
页码:
1026-1031
栏目:
交通运输工程
出版日期:
2017-09-20

文章信息/Info

Title:
Optimal integration schemes for traffic vehicle route system and traffic signal control system using traffic simulation
作者:
俞灏刘攀徐铖铖柏璐
东南大学城市智能交通江苏省重点实验室, 南京 210096
Author(s):
Yu Hao Liu Pan Xu Chengcheng Bai Lu
Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 210096, China
关键词:
交通工程 协同优化策略 微观仿真 交通诱导 交通信号控制
Keywords:
traffic engineering optimal integration scheme microscopic simulation traffic vehicle routing traffic signal control
分类号:
U491
DOI:
10.3969/j.issn.1001-0505.2017.05.029
摘要:
基于微观仿真软件PARAMICS的城市车辆诱导系统与交通信号控制协同优化流程,提出了基于大规模仿真实验的最优协同策略.通过对PARAMICS进行二次开发,基于固定式信号控制、感应式信号控制以及区域联动信号控制3种信号控制策略,结合用户遵从度和诱导信息发布频次,设计13种不同诱导策略.研究共计完成仿真实验7 800次,根据仿真数据建立平均路段占有率-系统总行程时间回归模型,进而得到不同交通需求条件下最优协同策略.结果显示,不同信号控制下该最优协同策略降低总行程时间0~23.14%.同时可移植性测试显示,在可移植性测试路网中最优协同策略较基础方案降低总行程时间0~10.67%,与最优策略总行程时间差异小于3.5%,因此该最优协同策略具有较好的可移植.
Abstract:
An optimal framework of combined traffic vehicle routing and traffic signal control schemes was developed using a microscopic simulation software PARAMICS. And simulation-based optimal integration schemes were proposed. Based on the secondary development of PARAMICS, 13 different vehicle routing strategies were designed, considering three typical signal control strategies, including the fixed signal control, the actuated signal control, and the regional coordinative signal control, differing user compliance rate and route guidance information updating frequency. The results of 7 800 simulation runs were recorded. Regression models were proposed to estimate the system total travel time on various average link occupancy rates. The optimal integration schemes for different traffic conditions were then obtained. The results show that the optimal schemes can reduce the total travel time from 0 to 23.14% considering different traffic demands and traffic signal control strategies. Furthermore, the results of the transferability test show that, compared with the base scheme, the proposed optimal integration schemes reduced the total travel time from 0 to 10.67%, and the difference between the optimal integration scheme and the best scheme in the new network is no more than 3.5%. It indicates that the transferability of the proposed optimal schemes can be confirmed.

参考文献/References:

[1] 马寿峰, 李艳君, 贺国光. 城市交通控制与诱导协调模式的系统分析 [J]. 管理科学学报, 2003, 6(3):71-78. DOI:10.3321/j.issn:1007-9807.2003.03.012.
Ma Shoufeng, Li Yanjun, He Guoguang. System analysis for coordination modes between urban traffic control and Vehicle route guidance [J]. Journal of Management Sciences in China, 2003, 6(3):71-78. DOI:10.3321/j.issn:1007-9807.2003.03.012. (in Chinese)
[2] Maher M J, Akcelik R. The re-distribution effects of an area traffic control policy [J]. Traffic Engineering and Control, 1975, 16(9): 383-385.
[3] Smith M J. Traffic control and route-choice: A simple example [J]. Transportation Research Part B: Methodological, 1979, 13(4): 289-294. DOI:10.1016/0191-2615(79)90021-3.
[4] Gartner N, Al-Malik M. Combined model for signal control and route choice in urban traffic networks [J]. Transportation Research Record: Journal of the Transportation Research Board, 1996, 1554: 27-35. DOI:10.3141/1554-04.
[5] 杨兆升, 陈昕, 王媛,等. 城市交通控制与诱导系统智能协作 [J]. 交通运输系统工程与信息, 2005, 5(6): 43-46,67. DOI:10.3969/j.issn.1009-6744.2005.06.012.
Yang Zhaosheng, Chen Xin, Wang Yuan, et al. Study on intelligent collaboration between urban traffic control and route guidance [J]. Journal of Transportation Systems Engineering and Information Technology,2005, 5(6): 43-46,67. DOI:10.3969/j.issn.1009-6744.2005.06.012. (in Chinese)
[6] Yu H, Ma R, Liu P, et al. Optimal traffic signal control considering DUE route choice and queue spillbacks[C]//94th Annual Meeting of the Transportation Research Board. Washington DC, USA: Transportation Research Board of the National Academics, 2015: 15-2632.
[7] Chen O, Ben-Akiva M. Game-theoretic formulations of interaction between dynamic traffic control and dynamic traffic control assignment [J]. Transportation Research Record: Journal of the Transportation Research Board, 1998, 1617: 179-188. DOI:10.3141//1617-25.
[8] 孙智源, 陆化普, 张晓利, 等. 城市交通控制与诱导协同的双层规划模型 [J]. 东南大学学报(自然科学版), 2016, 46(2): 450-456. DOI:10.3969/j.issn.1001-0505.2016.02.034.
Sun Zhiyuan, Lu Huapu, Zhang Xiaoli, et al. Bi-level programming model for cooperation of urban traffic control and traffic flow guidance [J]. Journal of Southeast University(Natural Science Edition), 2016, 46(2): 450-456. DOI:10.3969/j.issn.1001-0505.2016.02.034. (in Chinese)
[9] Abdul Aziz H M, Ukkusuri S V. An analytical framework for vehicular traffic signal control integrated with dynamic traffic assignment using cell transmission model [C]//14th International IEEE Conference on Intelligent Transportation Systems. Washington DC, USA, 2011: 1355-1360. DOI:10.1109/itsc.2011.6083121.
[10] Collins P. Paramics microsimulation modelling RTA manual [R]. New South Wales,Australia: Roads Traffic Authority, 2009.

相似文献/References:

[1]周竹萍,任刚,王炜.基于方式分担需求的城市道路等级配置模型[J].东南大学学报(自然科学版),2009,39(5):1075.[doi:10.3969/j.issn.1001-0505.2009.05.041]
 Zhou Zhuping,Ren Gang,Wang Wei.Road network gradation optimization model according to traffic demand[J].Journal of Southeast University (Natural Science Edition),2009,39(5):1075.[doi:10.3969/j.issn.1001-0505.2009.05.041]
[2]卓曦,钱振东,张宁.大型公共建筑同向机动车出入口间距计算[J].东南大学学报(自然科学版),2012,42(3):560.[doi:10.3969/j.issn.1001-0505.2012.03.033]
 Zhuo Xi,Qian Zhendong,Zhang Ning.Spacing calculation for same-side vehicle access of large public building[J].Journal of Southeast University (Natural Science Edition),2012,42(5):560.[doi:10.3969/j.issn.1001-0505.2012.03.033]
[3]肖忠斌,王炜,李文权,等.城市高架路下匝道地面联接段最小长度模型[J].东南大学学报(自然科学版),2007,37(6):1071.[doi:10.3969/j.issn.1001-0505.2007.06.026]
 Xiao Zhongbin,Wang Wei,Li Wenquan,et al.Minimum-length-requirement model for expressway off-ramp joint[J].Journal of Southeast University (Natural Science Edition),2007,37(5):1071.[doi:10.3969/j.issn.1001-0505.2007.06.026]
[4]葛宏伟,王炜,陈学武,等.公交站点车辆停靠对信号交叉口进口道交通延误模型[J].东南大学学报(自然科学版),2006,36(6):1018.[doi:10.3969/j.issn.1001-0505.2006.06.029]
 Ge Hongwei,Wang Wei,Chen Xuewu,et al.Traffic delay at signal-controlled intersection with bus stop upstream[J].Journal of Southeast University (Natural Science Edition),2006,36(5):1018.[doi:10.3969/j.issn.1001-0505.2006.06.029]
[5]许项东,程琳,邱松林.交通分配自适应梯度投影算法的敏感性分析[J].东南大学学报(自然科学版),2013,43(1):226.[doi:10.3969/j.issn.1001-0505.2013.01.041]
 Xu Xiangdong,Cheng Lin,Qiu Songlin.Sensitivity analysis of self-adaptive gradient projection traffic assignment algorithm[J].Journal of Southeast University (Natural Science Edition),2013,43(5):226.[doi:10.3969/j.issn.1001-0505.2013.01.041]
[6]郭延永,刘攀,吴瑶,等.基于属性识别的高速公路交通安全设施系统评价[J].东南大学学报(自然科学版),2013,43(6):1305.[doi:10.3969/j.issn.1001-0505.2013.06.032]
 Guo Yanyong,Liu Pan,Wu Yao,et al.Evaluation of freeway traffic safety facility system based on attribute recognition[J].Journal of Southeast University (Natural Science Edition),2013,43(5):1305.[doi:10.3969/j.issn.1001-0505.2013.06.032]
[7]姜军,陆建,李娅.基于驾驶人视认特性的城市道路指路标志设置[J].东南大学学报(自然科学版),2010,40(5):1089.[doi:10.3969/j.issn.1001-0505.2010.05.039]
 Jiang Jun,Lu Jian,Li Ya.Setting of road guide signs based on driver’s recognition characteristics[J].Journal of Southeast University (Natural Science Edition),2010,40(5):1089.[doi:10.3969/j.issn.1001-0505.2010.05.039]
[8]沈家军,王炜,陈学武.城市道路交叉口混合交通流机动车与非机动车冲突概率[J].东南大学学报(自然科学版),2010,40(5):1093.[doi:10.3969/j.issn.1001-0505.2010.05.040]
 Shen Jiajun,Wang Wei,Chen Xuewu.Study on conflict probability of motor and non-motor mixed traffic at urban intersections[J].Journal of Southeast University (Natural Science Edition),2010,40(5):1093.[doi:10.3969/j.issn.1001-0505.2010.05.040]
[9]王炜,陈淑燕,胡晓健.“一路一线直行式”公交模式下公交车行驶诱导和调度集成方法[J].东南大学学报(自然科学版),2008,38(6):1110.[doi:10.3969/j.issn.1001-0505.2008.06.033]
 Wang Wei,Chen Shuyan,Hu Xiaojian.Novel integrated method of bus speed guidance and dispatching based on “one route one line and run straight mode”[J].Journal of Southeast University (Natural Science Edition),2008,38(5):1110.[doi:10.3969/j.issn.1001-0505.2008.06.033]
[10]李志斌,王炜,赵德,等.机非物理分隔道路上自行车超车事件模型[J].东南大学学报(自然科学版),2012,42(1):156.[doi:10.3969/j.issn.1001-0505.2012.01.029]
 Li Zhibin,Wang Wei,Zhao De,et al.Modeling bicycle passing events on physically separated roadways[J].Journal of Southeast University (Natural Science Edition),2012,42(5):156.[doi:10.3969/j.issn.1001-0505.2012.01.029]

备注/Memo

备注/Memo:
收稿日期: 2016-12-08.
作者简介: 俞灏(1988—),男,博士,seu_darwin@126.com.
基金项目: 国家自然科学基金优秀青年科学基金资助项目(51322810)、国家自然科学基金委员会与英国工程与自然科学研究理事会合作研究资助项目(51561135003).
引用本文: 俞灏,刘攀,徐铖铖,等.交通诱导与信号控制协同优化策略仿真[J].东南大学学报(自然科学版),2017,47(5):1026-1031. DOI:10.3969/j.issn.1001-0505.2017.05.029.
更新日期/Last Update: 2017-09-20