交通科学与计算

斜坡道路考虑平均流量差预期效应的格子流体力学模型

展开
  • 1. 宁波财经学院 国际经济贸易学院, 浙江 宁波 315175
    2. 宁波大学 海运学院, 浙江 宁波 315211

收稿日期: 2020-02-10

  网络出版日期: 2020-07-07

基金资助

国家自然科学基金资助项目(71571107);宁波市自然科学基金资助项目(2019A610048)

Predicted effect of average flux difference in a lattice hydrodynamic model with gradients

Expand
  • 1. College of International Economics and Trade, Ningbo University of Finance and Economics, Ningbo 315175, Zhejiang, China
    2. Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, Zhejiang, China

Received date: 2020-02-10

  Online published: 2020-07-07

摘要

为了研究斜坡道路上平均流量差预期效应对交通流的影响, 提出了一种改进的格子流体动力学模型. 采用控制理论方法得到了改进模型的线性稳定条件, 并利用约化摄动法得到了稳定性临界点附近的 mKdV 方程, 用以描述交通密度波的演变特征. 通过数值模拟演示了考虑平均流量差预期效应的交通流的演变过程, 并验证了理论分析的结果. 模拟结果显示, 在坡度公路上考虑平均流量差预期效应有利于缓解交通拥堵.

本文引用格式

魏麒, 常银银, 葛红霞, 程荣军 . 斜坡道路考虑平均流量差预期效应的格子流体力学模型[J]. 上海大学学报(自然科学版), 2020 , 26(3) : 367 -381 . DOI: 10.12066/j.issn.1007-2861.2209

Abstract

By studying the predicted effect of average flux difference, a new lattice hydrodynamic model was proposed for a gradient highway. The control theory was employed using linear analysis, and the stability condition for this new model was analyzed. To depict the evolution of traffic density waves in the traffic system, the mKdV equation near the critical point was derived by nonlinear analysis. Additionally, numerical simulation was performed to directly describe the evolution of traffic, which verified the results of the theoretical analysis. The results revealed that the predicted effect of average flux difference can stabilize the traffic flow.

参考文献

[1] Bando M, Hasebe K, Nakayama A. Dynamical model of traffic congestion and numerical simulation[J]. Physical Review E, 1995,51:1035-1042.
[2] Wang J F, Sun F X, Ge H X. Effect of the driver's desire for smooth driving on the car-following model[J]. Physica A, 2018,512:96-108.
[3] Xue Y, Dong L Y, Dai S Q. An improved one-dimensional cellular automaton model of traffic flow and the effect of deceleration probability[J]. Acta Physics Sinica, 2001,50:445-449.
[4] Gao K, Jiang R, Hu S X, et al. Cellular-automaton model with velocity adaptation in the framework of Kerner's three-phase traffic theory[J]. Physical Review E, 2007,76:026105.
[5] Guptaa K, Sharma S, Redhu P, Analyses of lattice traffic flow model on a gradient highway[J]. Communications in Theoretical Physica, 2014,62:393-404.
[6] Kaur R, Sharma S. Analyses of a heterogeneous lattice hydrodynamic model with low and high-sensitivity vehicles[J]. Physics Letters A, 2018,382:1449-1455.
[7] Treiber M, Hennecke A, Helbing D. Derivation, properties, and simulation of a gas-kinetic-based, nonlocal traffic model[J]. Physical Review E, 1999,59:239-253.
[8] Helbing D, Treiber M. Gas-Kinetic-Based traffic model explaining observed hysteretic phase transition[J]. Physical Review Letters, 1998,81:3042-3045.
[9] Nagatani T. Modified KdV equation for jamming transition in the continuum models of traffic[J]. Physica A, 1998,261:599-607.
[10] Komada K, Masukura S, Nagatani T. Effect of gravitational force upon traffic flow with gradients[J]. Physica A, 2009,388:2880-2894.
[11] Ge H X, Cheng R J, Lo S M. A lattice model for bidirectional pedestrian flow on gradient road[J]. Communications in Theoretical Physica, 2014,62:259-264.
[12] Gupta A K, Sharma S, Redhu P. Analyses of lattice traffic flow model on a gradient highway[J]. Communications in Theoretical Physica, 2014,62:393-404.
[13] Cao J L, Shi Z K. Analysis of a novel two-lane lattice model on a gradient road with the consideration of relative current[J]. Communications in Nonlinear Science and Numerical Simulation, 2016,33:1-18.
[14] Kaur R, Sharma S. Modeling and simulation of driver's anticipation effect in a two-lane system on curved road with slope[J]. Physica A, 2018,499:110-120.
[15] Jiang C T, Cheng R J, Ge H X. Mean-field flow difference model with consideration of on-ramp and off-ramp[J]. Physica A, 2019,513:465-476.
文章导航

/