Method of spillover identification in urban street networks using loop detector outputs

Dong-fang Ma , Dian-hai Wang , Feng Sun , Yi-ming Bie , Sheng Jin

Journal of Central South University ›› 2013, Vol. 20 ›› Issue (2) : 572 -578.

PDF
Journal of Central South University ›› 2013, Vol. 20 ›› Issue (2) : 572 -578. DOI: 10.1007/s11771-013-1520-0
Article

Method of spillover identification in urban street networks using loop detector outputs

Author information +
History +
PDF

Abstract

Quick and reliable identification of the traffic state is of critical importance to traffic control systems, especially when spillovers appear. Firstly, a calculation method for the occupancy per cycle under different traffic conditions were presented, based on the relationship between the three basic traffic flow parameters, speed, traffic flow and density. Secondly, the times at which the stopping and starting waves approach a loop detector were confirmed using the traffic wave models modified by a kinematic equation. Then, the threshold of occupancy, which characterizes the appearance of spillovers, was determined by the premise that the stopping and starting waves had the same speed. At last, the accuracy and usability of the new method were verified by VISSIM simulation, using the ratio of misjudgment as the evaluation index. The results show that the ratio of misjudgment of the new method is about 11.36% compared to 17.65% of the previous method.

Keywords

occupancy / spillover / shock wave / queue length / simulation

Cite this article

Download citation ▾
Dong-fang Ma, Dian-hai Wang, Feng Sun, Yi-ming Bie, Sheng Jin. Method of spillover identification in urban street networks using loop detector outputs. Journal of Central South University, 2013, 20(2): 572-578 DOI:10.1007/s11771-013-1520-0

登录浏览全文

4963

注册一个新账户 忘记密码

References

[1]

GeroliminisN., SkabardonisA.. Identification and analysis of queue spillovers in city street networks [J]. Journal of Intelligent Transportation Systems, 2011, 12(4): 1107-1115

[2]

SharmaA., BullockD. M., BonnesonJ.. Input-output and hybrid techniques for real-time prediction of delay and maximum queue length at a signalized intersection [J]. Journal of Transportation Research Record, 2007, 2035: 88-96

[3]

VigosG., PapageorgiouM., WangY.. Real-time estimation of vehicle-count within signalized links [J]. Transportation Research Part C, 2008, 16(1): 18-35

[4]

LiuH., WuX. K., MaW. T., HuH.. Real-time queue length estimation for congested signalized intersections [J]. Transportation Research Part C, 2009, 17(4): 412-427

[5]

LiuY., ChangG. L.. An arterial signal optimization model for intersections experiencing queue spillback and lane blockage [J]. Transportation Research Part C, 2011, 19(1): 130-144

[6]

HasanM.. A framework for intelligent decision support system for traffic congestion management system [J]. Engineering, 2010, 2(4): 270-289

[7]

CHANG J, BERTOLI B, XIN W P. New signal control optimization policy for oversaturated arterial systems [C]// Transportation Research Board (TRB) 89th Annual Meeting, Washington, D. C, 2010: 10–3760.

[8]

WuX. K., LiuH., GettmanD.. Identification of oversaturated intersections using high-resolution traffic signal data [J]. Transportation Research Part C, 2010, 18(4): 626-638

[9]

GEROLIMINIS N, SKABARDONIS A. Queue spillovers in city street networks with signal-controlled intersections [C]// Transportation Research Board (TRB) 89th Annual Meeting, Washington, D. C, 2010:10–3498.

[10]

SimsA. G., DobinsonK. W.. The sydney coordinated adaptive traffic (SCAT) system philosophy and benefits [J]. IEEE Transactions on Vehicular Technology, 1980, 29(2): 130-137

[11]

MirvhandaniP. B., HeadK. L.. A real-time traffic signal control system: Architecture algorithm and analysis [J]. Transportation Research Part C, 2001, 9(6): 415-432

[12]

WuX. K., LiuH.. A shockwave profile model for traffic flow on congested urban arterials[J]. Transportation Research Part B, 2011, 45(10): 1768-1786

[13]

TangT.-q., LiC.-y., HuangH.-j., ShangH.-yan.. Macro modeling and analysis of traffic flow with road width [J]. Journal of Central South University of Technology, 2011, 18(5): 1757-1764

[14]

ASAMER J, REINTHALER M. Estimation of road capacity and free flow speed for urban roads under adverse weather conditions [C]// 13th International IEEE Annual Conference on Intelligent Transportation Systems, Madeira Island, 2010: 802–801.

[15]

QuZ.-w., WangD.-h., YaoR.-han.. Kinematic model of start wave at signalized intersection [J]. Journal of Jilin University (Engineering and Technology Edition), 2008, 38(2): 268-272

AI Summary AI Mindmap
PDF

106

Accesses

0

Citation

Detail

Sections
Recommended

AI思维导图

/