Volume 19 Issue 3
. 
Turn off MathJax
Article Contents
Article Navigation >  Journal of Traffic and Transportation Engineering  > 2019  >  19(3): 122-133
Next Previous
SUN Jian, YIN Ju-yuan, LI Tao-ning. Macroscopic traffic flow model of expressway on-ramp bottlenecks[J]. Journal of Traffic and Transportation Engineering, 2019, 19(3): 122-133. doi: 10.19818/j.cnki.1671-1637.2019.03.013
Citation: SUN Jian, YIN Ju-yuan, LI Tao-ning. Macroscopic traffic flow model of expressway on-ramp bottlenecks[J]. Journal of Traffic and Transportation Engineering, 2019, 19(3): 122-133. doi: 10.19818/j.cnki.1671-1637.2019.03.013
shu

Macroscopic traffic flow model of expressway on-ramp bottlenecks

doi: 10.19818/j.cnki.1671-1637.2019.03.013
  • 1.

    Key Laboratory of Road and Traffic Engineering of Ministry of Education, Tongji University, Shanghai 201804, China

  • 2.

    Shanghai Bureau of Public Security Traffic Police Corps, Shanghai 200070, China

More Information
  • Author Bio:

    SUN Jian(1979-), male, professor, PhD, sunjian@tongji.edu.cn

  • Received Date: 2018-12-26
  • Publish Date: 2019-06-25
    Abstract
  • Based on on-ramp merging mode and fundamental diagram form, an adjusted cell transmission model (CTM) was proposed. On-ramp state variables were introduced to track the traffic state of on-ramps, and new on-ramp merging rules were defined.The dual capacity fundamental diagram was introduced to the adjusted CTM in order to adapt to the varying capacities under different traffic conditions. The nelder-mead method and genetic algorithm were combined, and a hybrid multi-objective parameter optimization method was proposed. Three simulation scenarios were established, the performances of adjusted CTM and the hybrid multi-objective parameter optimization method were evaluated. Simulation result shows that for the prediction of the occurrence time and ending time of congestion on the upstream of on-ramp, compared with the original CTM, the adjusted CTM improves the accuracy by 22.3 and 10.8 min, respectively. For the simulation of the propagation and dissipation of congestion at the on-ramp merging section, the result of adjusted CTM is closer to the actual propagation/dissipation rules.As for the simulation of the early-onset breakdown traffic characteristic on the test segment, the fitting errors of adjusted CTM for the maximum pre-queue flow and queue discharge flow are below 4%, which are less than the values of original CTM. In the term of model simulation accuracy, compared with the original CTM, the various indexes of adjusted CTM are better, the simulated speed error of the former is 10.42 km·h-1, which is 25.4% lower than the value of the latter. Compared with the traditional genetic algorithm, the hybrid multi-objective parameter optimization method can reduce the total calculation times, and the total consumed time of parameter calibration shortens by 29.3%.

     

    • FullText(HTML)
  • loading
    • References(31)
  • [1]
    KOTSIALOS A, PAPAGEORGIOU M. The importance of traffic flow modeling for motorway traffic control[J]. Networks and Spatial Economics, 2001, 1 (1/2): 179-203. doi: 10.1023/A:1011537329508
    [2]
    DAGANZO C F. The cell transmission model: a dynamic representation of highway traffic consistent with the hydrodynamic theory[J]. Transportation Research Part B: Methodological, 1994, 28 (4): 269-287. doi: 10.1016/0191-2615(94)90002-7
    [3]
    SZETO W Y. Enhanced lagged cell-transmission model for dynamic traffic assignment[J]. Transportation Research Record, 2008 (2085): 76-85.
    [4]
    MUÑOZ L, SUN Xiao-tian, HOROWITZ R, et al. Traffic density estimation with the cell transmission model[C]//IEEE. Proceedings of the 2003 American Control Conference. New York: IEEE, 2003: 3750-3755.
    [5]
    SUMALEE A, ZHONG R X, PAN T L, et al. Stochastic cell transmission model (SCTM): a stochastic dynamic traffic model for traffic state surveillance and assignment[J]. Transportation Research Part B: Methodological, 2011, 45 (3): 507-533. doi: 10.1016/j.trb.2010.09.006
    [6]
    MUÑOZ L, SUN Xiao-tian, SUN Deng-feng, et al. Methodological calibration of the cell transmission model[C]//IEEE. Proceedings of the 2004 American Control Conference. New York: IEEE, 2004: 798-803.
    [7]
    GOMES G, HOROWITZ R. Optimal freeway ramp metering using the asymmetric cell transmission model[J]. Transportation Research Part C: Emerging Technologies, 2006, 14 (4): 244-262. doi: 10.1016/j.trc.2006.08.001
    [8]
    RONCOLI C, PAPAGEORGIOU M, PAPAMICHAIL I. Traffic flow optimisation in presence of vehicle automation and communication systems—Part Ⅰ: a first-order multi-lane model for motorway traffic[J]. Transportation Research Part C: Emerging Technologies, 2015, 57: 241-259. doi: 10.1016/j.trc.2015.06.014
    [9]
    SHIOMI Y, TANIGUCHI T, UNO N, et al. Multilane first-order traffic flow model with endogenous representation of lane-flow equilibrium[J]. Transportation Research Procedia, 2015, 7: 398-419. doi: 10.1016/j.trpro.2015.06.021
    [10]
    YANG Yong, YAN Yu-song, HU Zuo-an, et al. An improved cell transmission model for urban expressway and simulation[J]. Journal of Highway and Transportation Research and Development, 2015, 32 (6): 135-141. (in Chinese). doi: 10.3969/j.issn.1002-0268.2015.06.021
    [11]
    YANG Yong, HU Zuo-an. Research on ramp metering traffic congestion propagation mechanism with improved CTM model[J]. Journal of Wuhan University of Technology (Transportation Science and Engineering), 2015, 39 (5): 915-919. (in Chinese). doi: 10.3963/j.issn.2095-3844.2015.05.004
    [12]
    LIN Qin, LONG Ke-jun. Urban expressway traffic flow simulation based on improved CTM model[J]. Journal of Changsha University of Science and Technology (Natural Science), 2018, 15 (4): 52-58. (in Chinese). doi: 10.3969/j.issn.1672-9331.2018.04.008
    [13]
    CHEN Geng. Urban expressway traffic incident simulation based on improved CTM model[J]. Transportation Science and Technology, 2016 (6): 146-149. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-SKQB201606047.htm
    [14]
    CHEN Yong-heng, LIU Xin-shan, XIONG Shuai, et al. Variable speed limit control under snow and ice conditions for urban expressway in junction bottleneck area[J]. Journal of Jilin University (Engineering and Technology Edition), 2018, 48 (3): 677-687. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JLGY201803005.htm
    [15]
    HUANG Chao, CHEN Ri-qiang. Freeway traffic flow simulation model based on cellular transmission model[J]. China ITS Journal, 2017 (7): 127-130, 135. (in Chinese). https://www.cnki.com.cn/Article/CJFDTOTAL-JTXC201707020.htm
    [16]
    ZOU Juan. Traffic signal optimization control based on improved cell transmission model[D]. Wuhan: Wuhan University of Science and Technology, 2018. (in Chinese).
    [17]
    GONG Yan, LI Su-jian, XING En-hui. Novel variable cell transmission model for stochastic road network with time-varying congestion degree[J]. Computer Engineering and Applications, 2015, 51 (3): 6-11. (in Chinese). doi: 10.3778/j.issn.1002-8331.1405-0448
    [18]
    SPILIOPOULOU A, KONTORINAKI M, PAPAGEORGIOU M, et al. Macroscopic traffic flow model validation at congested freeway off-ramp areas[J]. Transportation Research Part C: Emerging Technologies, 2014, 41: 18-29. doi: 10.1016/j.trc.2014.01.009
    [19]
    CASSIDY M J, BERTINI R L. Some traffic features at freeway bottlenecks[J]. Transportation Research Part B: Methodological, 1999, 33 (1): 25-42. doi: 10.1016/S0191-2615(98)00023-X
    [20]
    CASSIDY M J, RUDJANAKANOKNAD J. Increasing capacity of an isolated merge by metering its on-ramp[J]. Transportation Research Part B: Methodological, 2005, 39 (10): 896-913. doi: 10.1016/j.trb.2004.12.001
    [21]
    SUN Jian, ZHANG Juan, ZHANG H. Investigation of the early-onset breakdown phenomenon at urban expressway bottlenecks in Shanghai[J]. Transportmetrica B: Transport Dynamics, 2014, 2 (3): 215-228. doi: 10.1080/21680566.2014.932262
    [22]
    HU Jia-qi, SUN Jian, ZHAO Li. Some flow features at urban expressway on-ramp bottlenecks in Shanghai[C]//TRB. 93rd Annual Meeting of the Transportation Research Board. Washington DC: TRB, 2014: 1-17.
    [23]
    LI Zhou-feng. Macroscopic traffic flow modeling and simulation for urban expressway[D]. Shanghai: Tongji University, 2016. (in Chinese).
    [24]
    JIN Wen-long, GAN Qi-jian, LEBACQUE J P. A kinematic wave theory of capacity drop[J]. Transportation Research Part B: Methodological, 2015, 81: 316-329.
    [25]
    MUÑOZ L, SUN Xiao-tian, HOROWITZ R, et al. A piecewise-linearized cell transmission model and parameter calibration methodology[J]. Transportation Research Record, 2006 (1965): 183-191.
    [26]
    GREWAL M S, PAYNE H J. Identification of parameters in a freeway traffic model[J]. IEEE Transactions on Systems, Man, and Cybernetics, 1976, 6 (3): 176-185.
    [27]
    KAMIYAMA D, TAMURA K, YASUDA K. Down-hill simplex method based differential evolution[C]//IEEE. Proceedings of SICE Annual Conference. New York: IEEE, 2010: 1641-1646.
    [28]
    POOLE A J, KOTSIALOS A. METANET model validation using a genetic algorithm[J]. IFAC Proceedings Volumes, 2012, 45 (24): 7-12. doi: 10.3182/20120912-3-BG-2031.00002
    [29]
    SPILIOPOULOU A, PAPAMICHAIL I, PAPAGEORGIOU M, et al. Macroscopic traffic flow model calibration using different optimization algorithms[J]. Operational Research, 2017, 17: 145-164.
    [30]
    BAN Xue-gang, CHU Lian-yu, BENOUAR H. Bottleneck identification and calibration for corridor management planning[J]. Transportation Research Record, 2007 (1999): 40-53.
    [31]
    SONG Rui, SUN Jian. Calibration of a micro-traffic simulation model with respect to the spatial-temporal evolution at expressway on-ramp bottlenecks[J]. Simulation, 2016, 92 (6): 535-546.
    • Relative Articles
    • Supplements(0)
    • Cited By

Catalog

    Get Citation
    PDF
    XML

    Article Metrics

    Article views (1515) PDF downloads(498) Cited by()
    Related

    Copyright《Journal of Traffic and Transportation Engineering》编辑部陕ICP备05001904号-1

    Address ：Editorial Department of Journal of Traffic and Transportation Engineering, Chang 'an University, Middle Section of South Second Ring Road, Xi 'an, Shaanxi（710064） Tel：029-82334388 Email：jygc@chd.edu.cn

    All visit:Today's visit:

    Supported by: Beijing Renhe Information Technology Co. Ltd    

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return