[1] Cui Hongjun, Guo Yiqing, Li Xia, Li Lin, et al. An environment-friendly control methodfor congestion flow ahead of expressway toll stations [J]. Journal of Southeast University (English Edition), 2016, 32 (4): 479-483. [doi:10.3969/j.issn.1003-7985.2016.04.014]

Copy

An environment-friendly control methodfor congestion flow ahead of expressway toll stations()

Share：

Journal of Southeast University (English Edition)[ISSN:1003-7985/CN:32-1325/N]

Volumn:

32

Issue:

2016 4

Page:

479-483

Research Field:

Traffic and Transportation Engineering

Publishing date:

2016-12-20

Info

Title:

An environment-friendly control methodfor congestion flow ahead of expressway toll stations

Author(s):

Cui Hongjun;  Guo Yiqing;  Li Xia;  Li Lin

School of Civil Engineering and Transportation, Hebei University of Technology, Tianjin 300401, China

Keywords:

traffic engineering;  traffic congestion;  traffic flow theory;  toll station;  fuel consumption

PACS:

U491

DOI:

10.3969/j.issn.1003-7985.2016.04.014

Abstract:

To alleviate the resulting increase in energy consumption and emissions and other issues caused by the traffic congestion ahead of the expressway toll station, a novel traffic flow control method is put forward based on the environment-friendly conception. The technical thinking of inducing the slowly moving traffic into a batch pass is determined based on the conclusion of the research, traffic flow theory and traffic sensing detection technology. The model of stop times is established and the parameters of the system are optimized in accordance with the principle of minimizing the fuel consumption. The optimal location selection of traffic control lights and Detector 2 for queue of different lengths at toll stations are calculated based on the model. Finally, the effect of the congestion flow control system is verified via the Paramics simulation system. The result shows that the control system is capable of reducing 90% of fuel consumption for vehicles going through toll stations.

References:

[1] Hadiuzzaman M, Qiu T Z, Lu X Y. Variable speed limit control design for relieving congestion caused by active bottleneck [J]. Journal of Transportation Engineering, 2013, 139(4): 358-370. DOI: 10.1061/(asce)te.1943-5436.0000507.
[2] Hadiuzzaman M. Variable speed limit control to mitigate freeway congestion [D]. Edmonton, Canada: Civil and Environmental Engineering, University of Alberta, 2014.
[3] Liu(Weihua)Qiang. Study on the effects of vehicles to start and energy dissipation based on cellular automaton models of mixed traffic [D]. Nanning: College of Science and Engineering Technology, Guangxi University, 2013.(in Chinese)
[4] Bauza R, Gozalvez J, Sanchez-Soriano J. Road traffic congestion detection through cooperative vehicle-to-vehicle communications[C]//2010 IEEE the 35th Conference on Local Computer Networks. Denver, CO, USA, 2010: 606-612. DOI:10.1109/LCN.2010.5735780.
[5] Biggs D C. ARFCOM: Models for estimating light to heavy vehicle fuel consumption[R/OL].(1988-09)[2016-10-20]. https://trid.trb.org/view.aspx?id=295534.
[6] Smit R, Brown A L, Chan Y C. Do air pollution emissions and fuel consumption models for roadways include the effects of congestion in the roadway traffic flow [J]. Environmental Modelling & Software, 2008, 23(10/11): 1262-1270. DOI:10.1016/j.envsoft.2008.03.001.
[7] Wattleworth J A, Berry D S. Peak-period control of a freeway system-some theoretical investigations[J]. Highway Research Record, 1965, 89: 16-25.
[8] Masher D P, Ross D W, Wong P J, et al. Guidelines for design and operation of ramp control systems[M]. Transportation Research Board, 1975.
[9] Papageorgiou M, Kotsialos A. Freeway ramp metering: An overview [C]//Proceedings of IEEE Intelligent Transportation System Conference. Dearborn, MI, USA, 2000:228-239.
[10] Taylor J C, McKenna P G, Young P C, et al. Macroscopic traffic flow modelling and ramp metering controlusing Matlab/Simulink [J]. Environmental Modelling & Software, 2004, 19(10): 975-988. DOI:10.1016/j.envsoft.2003.11.009.
[11] Smulders S. Control of freeway traffic flow by variable speed signs [J]. Transportation Research Part B: Methodological, 1990, 24(2): 111-132.
[12] Yi T, Xiong J, Wan H S. Modeling and realization with microcosmic simulation of traffic flow on highways [J].Journal of Kunming University of Science and Technology: Science and Technology, 2004, 29(3):94-97.(in Chinese)
[13] Lei Miao. Study on lane closure impact on express-way traffic [D]. Xi’an: College of Highway, Chang’an University, 2013.(in Chinese)
[14] Wang C, Shi Z K. Design and FPGA implementation of real-time vehicle queue detection system based on image processing [J]. Journal of Transportation Systems Engineering and Information Technology, 2012, 12(3):65-74, 97.(in Chinese)
[15] Zhou G, Chang C L. Expressway tollgate capacity study [J]. Journal of Highway and Transportation Research and Development, 2001, 18(3):56-59.(in Chinese)
[16] Guo Jia. Research on the control of highway toll station operation [D]. Guangzhou: College of Civil Engineering and Transportation, South China University of Technology, 2012.(in Chinese)

Memo

Memo:

Biography: Cui Hongjun(1974—), male, doctor, professor, cuihj1974@126.com.
Foundation items: The Natural Science Foundation of Hebei Province(No.E2013202228), the Science and Technology Planning Project of the Department of Transportation of Hebei Province(No.R070245).
Citation: Cui Hongjun, Guo Yiqing, Li Xia, et al. An environment-friendly control method for congestion flow ahead of expressway toll stations[J].Journal of Southeast University(English Edition), 2016, 32(4):479-483.DOI:10.3969/j.issn.1003-7985.2016.04.014.

Common functions