[1]项昀,邢璐,王昊,等.客货分离式高速公路主线与匝道协同控制算法研究[J].江西师范大学学报(自然科学版),2015,(06):631-636.
 XIANG Yun,XING Lu,WANG Hao,et al.Coordinated Control of Freeway Mainline and Ramp under Separating Truck from Passenger Vehicles Condition[J].Journal of Jiangxi Normal University:Natural Science Edition,2015,(06):631-636.
点击复制

客货分离式高速公路主线与匝道协同控制算法研究()
分享到:

《江西师范大学学报》(自然科学版)[ISSN:1006-6977/CN:61-1281/TN]

卷:
期数:
2015年06期
页码:
631-636
栏目:
出版日期:
2015-12-31

文章信息/Info

Title:
Coordinated Control of Freeway Mainline and Ramp under Separating Truck from Passenger Vehicles Condition
作者:
项昀;邢璐;王昊;徐亚楠;李烨
1.南昌航空大学土木建筑学院,江西 南昌 330063; 2.东南大学城市智能交通江苏省重点实验室,江苏 南京 210096
Author(s):
XIANG YunXING LuWANG HaoXU YananLi Ye
1.School of civil engineering and architecture,Nanchang Hangkong University,Nanchang Jiangxi 330063,China; 2.Jiangsu Key Laboratory of Urban ITS,Southeast University,Nanjing Jiangxi 210096,China
关键词:
ALINEA 客货分离 高速公路 主线与匝道协同控制
Keywords:
ALINEA separatingtruck from passenger vehicles highway cordinated control of free way mainline and ramp
分类号:
U 491.4
文献标志码:
A
摘要:
为保障高速公路的高效运行,提出适用于客货分离式高速公路主线与匝道协同控制算法.选取被广泛应用的ALINEA模型作为匝道控制的基本模型,再依据高速公路主线上下游交通流的变化进行入口匝道调节,确保入口匝道下游主线的占有率接近期望占有率,使高速公路主线在接近最大交通容量时充分考虑主线上游交通量对匝道调节率的影响,从而实现主线与匝道协同控制.利用Vissim软件进行仿真,结果表明,在运行效率方面,采用协同控制策略的客货分离形式高速公路优于传统ALINEA控制策略的客货分离式高速公路,远优于客货混行、无控制策略的高速公路.
Abstract:
To enhance the efficiency of freeway under suparating truck from passenger vehicles condition,a coordinated control of freeway mainline and ramp based on modified ALINEA model was proposed.Firstly,the ALINEA model was chosen as the basic model of ramp control,the entrance of ramp was regulated on the basis of the change of the upstream and downstream traffic flowin the main line of the highway,ensuring that the occupancy rate of the downstream main line was close to expected toccupancy.Meanwhile,when the main line of the highway was close to the maximum capacity,the impact of the upstream main line traffic flow on the ramp regulating rate must be noticed.Using the Vissim software simulation,the study showed that,in terms of operating efficiency,the separation of truck and carwith cooperative control strategy outperformed the separation of truck and car using the classical alinea control strategy,far superior to truck and car mixed control scheme.

参考文献/References:

[1] 陈德望,李灵犀,刘小明,等.城市高速道路交通控制方法研究的回顾与展望[J].信息与控制,2002,31(4): 341-345,362.
[2] Zhang L,Levinson D.Ramp metering and freeway bottleneck capacity [J].Transportation Research Part A,2010,44: 218-235.
[3] WinyoopaditSarintorn.Development and Comparative Evaluation of Ramp Metering Algorithms Using Microscopic Traffic Simulation [J].Journal of Transportation Systems Engineering and Information Technology,2007,7(5):51-62.
[4] Shen W,Zhang H M.Pareto-improving ramp metering stragegies for reducing congestion in the morning commute [J].Transportation Research Part A,2010,44: 676-696.
[5] Papageorgiou M,Kotsialos A.Freeway ramp metering: an overview [C]∥Intelligent Transportation Systems,2000,Proceedings,2000 IEEE,IEEE,2000: 228-239.
[6] Papageorgiou M,Hadj-Salem H,Middelham F.ALINEA local ramp metering: Summary of field results [J].Transportation Research Record: Journal of the Transportation Research Board,1997,1603(1): 90-98.
[7] 陆克丽霞,杜豫川,孙立军.基于 ALINEA 算法的上海快速路人口匝道控制方法 [J].同济大学学报: 自然科学版,2009,2(2): 206-208.
[8] Wang Y,Perrine K A,Lao Y.Developing an area-wide system for coordinated ramp meter control [R].University of Washington,Transportation Northwest(TransNow),2008.
[9] Caglar Demiral,Hilmi Berk Clikoglu.Application of ALINEA ramp control algorithm to freeway traffic flow on approaches to Bosphorus strait crossing bridges [J].ProcediaSocial and Behavioral Sciences,2011(20):364-371.
[10] 吴建平.南安普敦市高速公路入口控制方案案例研究 [J].交通运输系统工程与信息,2003,3(1):6-15.
[11] 姜紫峰,荆便顺.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.
[12] 谭满春,徐建闽.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.
[13] 张枭雄.高速公路入口匝道控制算法的仿真评价与优化 [D].长春: 吉林大学,2005.
[14] 李健,贾元华,敖谷昌.主线机动容量合理分配的匝道协同控制 [J].深圳大学学报:理工版,2012,29(5): 466-470.
[15] Papamichail I,Kotsialos A,Margonis I,et al.Coordinated ramp metering for freewaynetworks:A model predictivehierarchical control approach [J].Transportation Research Part C,2010,18:311-331.

备注/Memo

备注/Memo:
基金项目:国家自然科学基金(51478113),南昌市科技局对外科技合作与服务课题(2013HZCG023)和江苏省高校研究生科研创新计划(KYLX15_0154)资助项目.
更新日期/Last Update: 1900-01-01