KdV–Burgers equation in a new continuum model based on full velocity difference model considering anticipation effect

In this paper, a new continuum model based on full velocity difference car following model is developed with the consideration of driver’s anticipation effect. By applying the linear stability theory, the new model’s linear stability is obtained. Through nonlinear analysis, the KdV–Burgers equation is derived to describe the propagating behavior of traffic density wave near the neutral stability line. Numerical simulation shows that the new model possesses the local cluster, and it is capable of explaining some particular traffic phenomena Numerical results show that when considering the effects of anticipation, the traffic jams can be suppressed efficiently. The key improvement of this new model is that the anticipation effect can improve the stability of traffic flow.

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

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

[3]  T. Nagatani Traffic jam at adjustable tollgates controlled by line length , 2016 .

[4]  G. H. Peng,et al.  A study of wide moving jams in a new lattice model of traffic flow with the consideration of the driver anticipation effect and numerical simulation , 2012 .

[5]  H. M. Zhang,et al.  Anisotropic property revisited––does it hold in multi-lane traffic? , 2003 .

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

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

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

[9]  Hai-Jun Huang,et al.  Influences of the driver’s bounded rationality on micro driving behavior, fuel consumption and emissions , 2015 .

[10]  M J Lighthill,et al.  On kinematic waves II. A theory of traffic flow on long crowded roads , 1955, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

[11]  Guanghan Peng,et al.  A new lattice model of the traffic flow with the consideration of the driver anticipation effect in a two-lane system , 2013 .

[12]  Takashi Nagatani,et al.  Traffic dispersion through a series of signals with irregular split , 2016 .

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

[14]  Anastasios S. Lyrintzis,et al.  Improved High-Order Model for Freeway Traffic Flow , 1998 .

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

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

[17]  Fuqiang Liu,et al.  A DYNAMICAL MODEL WITH NEXT-NEAREST-NEIGHBOR INTERACTION IN RELATIVE VELOCITY , 2007 .

[18]  Hongxia Ge,et al.  KdV–Burgers equation in the modified continuum model considering anticipation effect , 2015 .

[19]  Cheng Rongjun,et al.  An improved car-following model considering the influence of optimal velocity for leading vehicle , 2016 .

[20]  R. Jiang,et al.  A new continuum model for traffic flow and numerical tests , 2002 .

[21]  Hai-Jun Huang,et al.  A new fundamental diagram theory with the individual difference of the driver’s perception ability , 2012 .

[22]  P. I. Richards Shock Waves on the Highway , 1956 .

[23]  Kurtze,et al.  Traffic jams, granular flow, and soliton selection. , 1995, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[24]  C. Daganzo Requiem for second-order fluid approximations of traffic flow , 1995 .

[25]  D. Helbing,et al.  DERIVATION, PROPERTIES, AND SIMULATION OF A GAS-KINETIC-BASED, NONLOCAL TRAFFIC MODEL , 1999, cond-mat/9901240.

[26]  Peng Li,et al.  An extended macro model for traffic flow with consideration of multi static bottlenecks , 2013 .

[27]  Jia Lei,et al.  Nonlinear Analysis of a Synthesized Optimal Velocity Model for Traffic Flow , 2008 .

[28]  M. Lighthill,et al.  On kinematic waves I. Flood movement in long rivers , 1955, Proceedings of the Royal Society of London. Series A. Mathematical and Physical Sciences.

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

[30]  H. M. Zhang A theory of nonequilibrium traffic flow , 1998 .

[31]  Guanghan Peng,et al.  A new car-following model with the consideration of anticipation optimal velocity , 2013 .

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

[33]  P Berg,et al.  On-ramp simulations and solitary waves of a car-following model. , 2001, Physical review. E, Statistical, nonlinear, and soft matter physics.

[34]  Fangyan Nie,et al.  A driver’s memory lattice model of traffic flow and its numerical simulation , 2012 .

[35]  Dihua Sun,et al.  A new car-following model with consideration of anticipation driving behavior , 2012 .

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