|Table of Contents|

Coordinated control method of ramps based on automatic tracking dynamic critical occupancy(PDF)

《交通运输工程学报》[ISSN:1671-1637/CN:61-1369/U]

Issue:
2016年02期
Page:
150-158
Research Field:
交通信息工程及控制
Publishing date:

Info

Title:
Coordinated control method of ramps based on automatic tracking dynamic critical occupancy
Author(s):
XU Kun1; 2;  CHAI Gan3;  LI Qing-quan1;  GUO Jian-hua3;  LI Xiao-da4
1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University,Wuhan 430072, Hubei, China; 2. Intelligent Transportation System Research Center, Wuhan University of Technology, Wuhan 430070, Hubei, China; 3
Keywords:
traffic control;  queue length;  coordinated control method of ramp;  dynamic critical occupancy;  mainline confluence area
PACS:
U491.54
DOI:
-
Abstract:
In order to solve the problems of traffic congestion in mainline confluence area and the on-ramp queue overspill for freeway, a coordinated control method of ramps was proposed. Based on the traffic statuses in mainline confluence area and the on-ramp queue lengths, the real-time number of coordinated control ramps was determined to improve the capacity of ramp groups and increase the vehicles merging into the bottleneck area of mainline. To improve the capacity of mainline confluence area, the dynamic critical occupancy of mainline was designed by using the real-time detection data of traffic volume and occupancy of mainline, and its variation was tracked by using the on-ramp metering rate. The heuristic rules were designed according to the relative on-ramp queue lengths to enhance the on-ramp coordinated control ability and prevent the on-ramp queue overspill. Based on Shanghai-Nanjing Freeway G42, the freeway network performance, the traffic condition of downstream mainline confluence area and the queue lengths of ramp were computed by using VISSIM simulation software to evaluate the control ability of the proposed approach. Computation result shows that compared with uncontrolled case, when the proposed method is used, the total travel time reduces by about 8.44%, and the average delay of road network reduces by about 62.97%; when the ALINEA approach is used, the total travel time reduces by about 2.85%, and the average delay of road network reduces by about 21.20%; when the linked-control approach is used, the total travel time reduces by about 6.00%, and the average delay of road network reduces by about 56.17%; when the proposed method is used, the traffic flow in mainline confluence area during congestion increases by about 540 veh·h-1, and the queue length of each ramp is more balanced. Obviously, the proposed method has good control result. 3 tabs, 12 figs, 25 refs.

References:

[1] HADIUZZAMAN M, QIU T Z, LU Xiao-yu. Variable speed limit control design for relieving congestion caused by active bottlenecks[J]. Journal of Transportation Engineering, 2013, 139(4): 358-370.
[2] 涂辉招,孙立军,高子翔.基于风险评估技术的城市快速路多匝道协调控制时机研究[J].中国公路学报,2015,28(7):86-92,101.TU Hui-zhao, SUN Li-jun, GAO Zi-xiang. Study on control timing of coordinated muti-ramp for urban freeway corridors based on risk assessment technique[J]. China Journal of Highway and Transport, 2015, 28(7): 86-92, 101.(in Chinese)
[3] WATTLEWORTH J A. Peak-period analysis and control of a freeway system[R]. Arlington: Texas Transportation Institute, Texas A&M University, 1967.
[4] PAPAGEORGIOU M, HADJ-SALEM H, BLOSSEVILLE J M. ALINEA: a local feedback control law for on-ramp metering[J]. Transportation Research Record, 1991(1320): 58-64.
[5] MASHER D P, ROSS D W, WONG P J, et al. Guidelines for design and operation of ramp control systems[R]. Menlo Park: Stanford Research Institute, 1975.
[6] PAPAGEORGIOU M. A hierarchical control system for freeway traffic[J]. Transportation Research Part B: Methodological, 1983, 17(3): 251-261.
[7] PAPAMICHAIL I, PAPAGEORGIOU M, WANG Yi-bing. Motorway traffic surveillance and control[C]∥IEEE. 2007 European Control Conference(ECC). New York: IEEE, 2007: 1750-1756.
[8] OZBAY K, YASAR I, KACHROO P. Comprehensive evaluation of feedback-based freeway ramp-metering strategy by using microscopic simulation: taking ramp queues into account[J]. Transportation Research Record, 2004(1867): 89-96.
[9] KOTSIALOS A, PAPAGEORGIOU M. A hierarchical ramp metering control scheme for freeway networks[C]∥IEEE. Proceedings of the 2005 American Control Conference. New York: IEEE, 2005: 2257-2262.
[10] 姜紫峰,荆便顺,韩锡令.高速公路入口匝道控制的仿真研究[J].中国公路学报,1997,10(2):83-89.JIANG Zi-feng, JING Bian-shun, HAN Xi-ling. Simulation study of on-ramp control in freeway[J]. China Journal of Highway and Transport, 1997, 10(2): 83-89.(in Chinese)
[11] 谭满春,徐建闽,毛宗源.高速公路入口匝道的模糊逻辑控制[J].华南理工大学学报:自然科学版,1999,27(8):5-8.TAN Man-chun, XU Jian-min, MAO Zong-yuan. On-ramp fuzzy logic control in freeway[J]. Journal of South China University of Technology: Natural Science, 1999, 27(8): 5-8.(in Chinese)
[12] CASSIDY M J, RUDJANAKANOKNAD J. Increasing the capacity of an isolated merge by metering its on-ramp[J]. Transportation Research Part B, 2005, 39(10): 896-913.
[13] 谭满春,徐建闽,毛宗源.高速公路交通流的建模与入口匝道最优控制[J].中国公路学报,2000,13(4):85-87.TAN Man-chun, XU Jian-min, MAO Zong-yuan. Traffic flow modelling and on-ramp optimal control in freeway[J]. China Journal of Highway and Transport, 2000, 13(4): 85-87.(in Chinese)
[14] 张 洋,田志学,靳引利.基于模糊算法的高速公路匝道控制方法[J].长安大学学报:自然科学版,2002,22(6):65-68.ZHANG Yang, TIAN Zhi-xue JIN Yin-li. Expressway entrance control based on fuzzy arithmetic[J]. Journal of Chang’an University: Natural Science Edition, 2002, 22(6): 65-68.(in Chinese)
[15] AHN S, BERTINI R, AUFFRAY B, et al. Evaluating benefits of systemwide adaptive ramp-metering strategy in Portland, Oregon[J]. Transportation Research Record, 2007(2012): 47-56.
[16] 张海军,杨晓光,张 珏.高速道路入口匝道控制方法综述[J].同济大学学报:自然科学版,2005,33(8):1051-1055,1082.ZHANG Hai-jun, YANG Xiao-guang, ZHANG Jue. Review of freeway on-ramp metering methodologies[J]. Journal of Tongji University: Natural Science, 2005, 33(8): 1051-1055, 1082.(in Chinese)
[17] GHODS A H, KIAN A R, TABIBI M. A genetic-fuzzy control application to ramp metering and variable speed limit control[C]∥IEEE. 2007 IEEE International Conference on Systems, Man and Cybernetics. New York: IEEE, 2007: 1723-1728.
[18] 温凯歌,曲仕茹,张玉梅.基于模糊逻辑的高速公路入口匝道控制方法[J].中国公路学报,2007,20(6):100-104.WEN Kai-ge, QU Shi-ru, ZHANG Yu-mei. Method for freeway on-ramp control based on fuzzy logic[J]. China Journal of Highway and Transport, 2007, 20(6): 100-104.(in Chinese)
[19] STEPHANEDES Y J. Implementation of on-line zone control strategies for optimal ramp metering in the minneapolis ring road[C]∥IET. 7th International Conference on Road Traffic Monitoring and Control. London: IET, 1994: 181-184.
[20] LIPP L E, CORCORAN L J, HICKMAN G A. Benefits of central computer control for Denver ramp-metering system[J]. Transportation Research Record, 1991(1320): 3-6.
[21] JACOBSEN L N, HENRY K C, MAHYAR O. Real-time metering algorithm for entralized control[J]. Transportation Research Record, 1989(1232): 17-26.
[22] PAESANI G F. System wide adaptive ramp metering in Southern California[C]∥ITS. ITS America 7th Annual Meeting and Exposition: Merging the Transportation and Communications Revolutions. Washington DC: ITS, 1997: 1-18.
[23] FAULKNER L, DEKKER F, GYLES D, et al. Evaluation of HERO coordinated ramp metering installation at the M1/M3 freeway in Queensland[J]. Transportation Research Record, 2013(2470): 13-23.
[24] SMARAGDIS E, PAPAGEORGIOU M, KOSMATOPOULOS E. A flow-maximizing adaptive local ramp metering strategy[J]. Transportation Research Part B, 2004, 38(3): 251-270.
[25] PAPAMICHAIL I, PAPAGEORGIOU M. Traffic-responsive linked ramp-metering control[J]. IEEE Transactions on Intelligent Transportation Systems, 2008, 9(1): 111-121.

Memo

Memo:
-
Last Update: 2016-04-20