An improved continuum model for traffic flow considering driver's memory during a period of time and numerical tests

Abstract Considering effect of driver's memory during a period of time, an improved continuum model for traffic flow is proposed in this paper. By means of linear stability theory, the improved model's linear stability with driver's memory is obtained, which demonstrates that driver's memory have significant influence stability of traffic flow. The KdV–Burgers equation is deduced to describe the propagating behavior of traffic density wave near the neutral stability line by nonlinear analysis. Numerical results show that driver's memory has negative impact on stability of traffic flow, which will lead to traffic congestion.

[1]  Wei-Zhen Lu,et al.  Nonlinear analysis of a new car-following model accounting for the optimal velocity changes with memory , 2016, Commun. Nonlinear Sci. Numer. Simul..

[2]  Rongjun Cheng,et al.  An extended continuum model accounting for the driver's timid and aggressive attributions , 2017 .

[3]  Bao-gui Cao A new car-following model considering driver’s sensory memory , 2015 .

[4]  Nakayama,et al.  Dynamical model of traffic congestion and numerical simulation. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[5]  H. M. Zhang Driver memory, traffic viscosity and a viscous vehicular traffic flow model , 2003 .

[6]  Jie Zhou,et al.  A new lattice hydrodynamic model for bidirectional pedestrian flow with the consideration of pedestrian’s anticipation effect , 2015 .

[7]  Haijun Huang,et al.  An extended macro traffic flow model accounting for the driver’s bounded rationality and numerical tests , 2017 .

[8]  Ge Hong-Xia,et al.  Time-dependent Ginzburg—Landau equation for lattice hydrodynamic model describing pedestrian flow , 2013 .

[9]  Liang Chen,et al.  Analysis of vehicle’s safety envelope under car-following model , 2017 .

[10]  Takashi Nagatani,et al.  Modified KdV equation for jamming transition in the continuum models of traffic , 1998 .

[11]  R. Jiang,et al.  Full velocity difference model for a car-following theory. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[12]  Kerner,et al.  Cluster effect in initially homogeneous traffic flow. , 1993, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[13]  Dihua Sun,et al.  Multiple optimal current difference effect in the lattice traffic flow model , 2014 .

[14]  Takashi Nagatani,et al.  Thermodynamic theory for the jamming transition in traffic flow , 1998 .

[15]  Zhongke Shi,et al.  Dynamics of connected cruise control systems considering velocity changes with memory feedback , 2015 .

[16]  Tie-Qiao Tang,et al.  Impacts of the driver’s bounded rationality on the traffic running cost under the car-following model , 2016 .

[17]  Benchawan Wiwatanapataphee,et al.  Mixed Traffic Flow in Anisotropic Continuum Model , 2007 .

[18]  Takashi Nagatani,et al.  TDGL and MKdV equations for jamming transition in the lattice models of traffic , 1999 .

[19]  孙剑,et al.  A lattice traffic model with consideration of preceding mixture traffic information , 2011 .

[20]  Wei-Zhen Lu,et al.  Lattice hydrodynamic model with bidirectional pedestrian flow , 2009 .

[21]  G. Peng,et al.  Optimal velocity difference model for a car-following theory , 2011 .

[22]  G. Peng,et al.  A new lattice model of traffic flow with the consideration of the traffic interruption probability , 2012 .

[23]  Siuming Lo,et al.  TDGL equation in lattice hydrodynamic model considering driver’s physical delay , 2014 .

[24]  Tie-Qiao Tang,et al.  Analysis of the traditional vehicle’s running cost and the electric vehicle’s running cost under car-following model , 2016 .

[25]  Tie-Qiao Tang,et al.  Influences of vehicles' fuel consumption and exhaust emissions on the trip cost without late arrival under car-following model , 2016 .

[26]  Tie-Qiao Tang,et al.  Propagating properties of traffic flow on a ring road without ramp , 2014 .

[27]  Mao-Bin Hu,et al.  On some experimental features of car-following behavior and how to model them , 2015 .

[28]  Zhongke Shi,et al.  The effects of vehicular gap changes with memory on traffic flow in cooperative adaptive cruise control strategy , 2015 .

[29]  Hai-Jun Huang,et al.  AN EXTENDED OV MODEL WITH CONSIDERATION OF DRIVER'S MEMORY , 2009 .

[30]  Hongxia Ge,et al.  TDGL and mKdV equations for car-following model considering driver’s anticipation , 2014 .

[31]  Wen-Xing Zhu,et al.  Analysis of car-following model with cascade compensation strategy , 2016 .

[32]  Dirk Helbing,et al.  Derivation of non-local macroscopic traffic equations and consistent traffic pressures from microscopic car-following models , 2008, 0805.3400.

[33]  Robert Herman,et al.  Traffic Dynamics: Analysis of Stability in Car Following , 1959 .

[34]  N. Moussa,et al.  Numerical study of two classes of cellular automaton models for traffic flow on a two-lane roadway , 2003 .

[35]  Boris S. Kerner,et al.  Local cluster effect in different traffic flow models , 1998 .

[36]  G. H. Peng,et al.  A novel macro model of traffic flow with the consideration of anticipation optimal velocity , 2014 .

[37]  Zhongke Shi,et al.  An improved car-following model considering headway changes with memory , 2015 .

[38]  Yongsheng Qian,et al.  An improved cellular automaton model with the consideration of a multi-point tollbooth , 2013 .

[39]  Xiangzhan Yu Analysis of the stability and density waves for traffic flow , 2002 .

[40]  G. Peng,et al.  A new lattice model of traffic flow with the anticipation effect of potential lane changing , 2012 .

[41]  Rongjun Cheng,et al.  TDGL and mKdV equations for car-following model considering traffic jerk and velocity difference , 2017 .

[42]  Liu Yuncai,et al.  An Improved Car-Following Model for Multiphase Vehicular Traffic Flow and Numerical Tests , 2006 .

[43]  Wenzhong Li,et al.  Analyses of vehicle’s self-stabilizing effect in an extended optimal velocity model by utilizing historical velocity in an environment of intelligent transportation system , 2015 .

[44]  Tie-Qiao Tang,et al.  A speed guidance model accounting for the driver’s bounded rationality at a signalized intersection , 2017 .

[45]  Dirk Helbing,et al.  GENERALIZED FORCE MODEL OF TRAFFIC DYNAMICS , 1998 .

[46]  Mao-Bin Hu,et al.  Traffic Experiment Reveals the Nature of Car-Following , 2014, PloS one.

[47]  Jianming Hu,et al.  A New Car-Following Model Inspired by Galton Board , 2008 .

[48]  Numerical simulation of soliton and kink density waves in traffic flow with periodic boundaries , 2008 .

[49]  Hai-Jun Huang,et al.  A new car-following model with consideration of roadside memorial , 2011 .