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Tunnel speed limit effects on traffic flow explored with a three lane model

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  • Li, Zhengming
  • Smirnova, M.N.
  • Zhang, Yongliang
  • Smirnov, N.N.
  • Zhu, Zuojin

Abstract

This paper presents a three lane model to explore tunnel speed limit effects on traffic flow numerically. The model assumes traffic flow on each lane has its own density and speed, highlights the role of local homogeneity of traffic flow between adjacent lanes to express the net lane-changing rate more simply in comparison with the existing lane-changing modules. The tunnel speed limit effects involve in the aspects of travel time and density threshold of traffic shock formation due to the tunnel bottleneck. Based on the three lane model, a simulation platform is built that uses a 3rd order Runge–Kutta scheme to handle time derivative term, and a 5th order weighted essentially non-oscillatory scheme to calculate numerical flux. The simulation results show that the higher the tunnel speed limit, the larger the density threshold of traffic shock formation, but the shorter the mean travel time and tunnel mean travel time.

Suggested Citation

  • Li, Zhengming & Smirnova, M.N. & Zhang, Yongliang & Smirnov, N.N. & Zhu, Zuojin, 2022. "Tunnel speed limit effects on traffic flow explored with a three lane model," Mathematics and Computers in Simulation (MATCOM), Elsevier, vol. 194(C), pages 185-197.
  • Handle: RePEc:eee:matcom:v:194:y:2022:i:c:p:185-197
    DOI: 10.1016/j.matcom.2021.11.016
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    References listed on IDEAS

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    1. Daganzo, Carlos F., 2002. "A behavioral theory of multi-lane traffic flow. Part II: Merges and the onset of congestion," Transportation Research Part B: Methodological, Elsevier, vol. 36(2), pages 159-169, February.
    2. Jin, Wen-Long, 2013. "A multi-commodity Lighthill–Whitham–Richards model of lane-changing traffic flow," Transportation Research Part B: Methodological, Elsevier, vol. 57(C), pages 361-377.
    3. Daganzo, Carlos F., 2002. "A behavioral theory of multi-lane traffic flow. Part I: Long homogeneous freeway sections," Transportation Research Part B: Methodological, Elsevier, vol. 36(2), pages 131-158, February.
    4. Michalopoulos, Panos G. & Beskos, Dimitrios E. & Yamauchi, Yasuji, 1984. "Multilane traffic flow dynamics: Some macroscopic considerations," Transportation Research Part B: Methodological, Elsevier, vol. 18(4-5), pages 377-395.
    5. Zhang, Yongliang & Smirnova, M.N. & Bogdanova, A.I. & Zhu, Zuojin & Smirnov, N.N., 2018. "Travel time estimation by urgent-gentle class traffic flow model," Transportation Research Part B: Methodological, Elsevier, vol. 113(C), pages 121-142.
    6. Jin, Wen-Long, 2018. "Kinematic wave models of sag and tunnel bottlenecks," Transportation Research Part B: Methodological, Elsevier, vol. 107(C), pages 41-56.
    7. Cassidy, Michael J. & Rudjanakanoknad, Jittichai, 2005. "Increasing the capacity of an isolated merge by metering its on-ramp," Transportation Research Part B: Methodological, Elsevier, vol. 39(10), pages 896-913, December.
    8. Teppei Kato & Kenetsu Uchida & William H. K. Lam & Agachai Sumalee, 2021. "Estimation of the value of travel time and of travel time reliability for heterogeneous drivers in a road network," Transportation, Springer, vol. 48(4), pages 1639-1670, August.
    9. Jincheng Jiang & Nico Dellaert & Tom Van Woensel & Lixin Wu, 2020. "Modelling traffic flows and estimating road travel times in transportation network under dynamic disturbances," Transportation, Springer, vol. 47(6), pages 2951-2980, December.
    10. Chang, Gang-Len & Mahmassani, Hani S., 1988. "Travel time prediction and departure time adjustment behavior dynamics in a congested traffic system," Transportation Research Part B: Methodological, Elsevier, vol. 22(3), pages 217-232, June.
    11. Ma, Jian & Chan, C.K. & Ye, Zhongbao & Zhu, Zuojin, 2018. "Effects of maximum relaxation in viscoelastic traffic flow modeling," Transportation Research Part B: Methodological, Elsevier, vol. 113(C), pages 143-163.
    12. Laval, Jorge A. & Daganzo, Carlos F., 2006. "Lane-changing in traffic streams," Transportation Research Part B: Methodological, Elsevier, vol. 40(3), pages 251-264, March.
    13. Zheng, Zuduo, 2014. "Recent developments and research needs in modeling lane changing," Transportation Research Part B: Methodological, Elsevier, vol. 60(C), pages 16-32.
    14. Teppei Kato & Kenetsu Uchida & William H. K. Lam & Agachai Sumalee, 0. "Estimation of the value of travel time and of travel time reliability for heterogeneous drivers in a road network," Transportation, Springer, vol. 0, pages 1-32.
    15. Jin, Wen-Long, 2010. "A kinematic wave theory of lane-changing traffic flow," Transportation Research Part B: Methodological, Elsevier, vol. 44(8-9), pages 1001-1021, September.
    16. Tie-Qiao Tang & Yun-Peng Wang & Xiao-Bao Yang & Hai-Jun Huang, 2014. "A Multilane Traffic Flow Model Accounting for Lane Width, Lane-Changing and the Number of Lanes," Networks and Spatial Economics, Springer, vol. 14(3), pages 465-483, December.
    17. Zheng, Zuduo & Ahn, Soyoung & Chen, Danjue & Laval, Jorge, 2011. "Freeway traffic oscillations: Microscopic analysis of formations and propagations using Wavelet Transform," Transportation Research Part B: Methodological, Elsevier, vol. 45(9), pages 1378-1388.
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