[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(
)
基于环境友好理念的高速公路收费站前路段拥挤车流控制办法
)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
- 基于环境友好理念的高速公路收费站前路段拥挤车流控制办法
- 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.
- 以缓解因高速公路收费站站前路段拥挤车流并由此带来的能源消耗加剧与排放物激增等问题, 基于环境友好理念, 提出了一种新型控制办法.首先, 基于调查结论、交通流理论和车辆感应技术, 确定了将缓慢行进车流向分段放行车流引导的技术路线.建立了停车次数模型, 以燃料消耗最小化为目标, 对模型中的参数进行了优化, 并对收费站前车辆不同排队长度情境下的交通控制信号灯、检测器2的最佳布局位置进行了计算.最终, 通过Paramics仿真软件对此拥挤车流控制技术的效果进行了验证.结果显示, 此控制系统可以有效减少收费站通行车辆90%的燃料消耗.
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.