An extended two-lane car-following model accounting for inter-vehicle communication

Abstract In this paper, we develop a novel car-following model with inter-vehicle communication to explore each vehicle’s movement in a two-lane traffic system when an incident occurs on a lane. The numerical results show that the proposed model can perfectly describe each vehicle’s motion when an incident occurs, i.e., no collision occurs while the classical full velocity difference (FVD) model produces collision on each lane, which shows the proposed model is more reasonable. The above results can help drivers to reasonably adjust their driving behaviors when an incident occurs in a two-lane traffic system.

[1]  Arvind Kumar Gupta,et al.  Delayed-feedback control in a Lattice hydrodynamic model , 2015, Commun. Nonlinear Sci. Numer. Simul..

[2]  Wen-Long Jin,et al.  Instantaneous Information Propagation in a Traffic Stream Through Inter-Vehicle Communication , 2006 .

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

[4]  Sapna Sharma.  Effect of driver’s anticipation in a new two-lane lattice model with the consideration of optimal current difference , 2015 .

[5]  Arvind Kumar Gupta,et al.  A NEW MULTI-CLASS CONTINUUM MODEL FOR TRAFFIC FLOW , 2007 .

[6]  Sapna Sharma,et al.  Modeling and analyses of driver’s characteristics in a traffic system with passing , 2016 .

[7]  Takashi Nagatani,et al.  Nonlinear-map model for bus schedule in capacity-controlled transportation , 2013 .

[8]  V. K. Katiyar,et al.  Analyses of shock waves and jams in traffic flow , 2005 .

[9]  Guanghan Peng,et al.  A new lattice model of traffic flow with the consideration of the drivers’ aggressive characteristics , 2017 .

[10]  Sapna Sharma,et al.  Lattice hydrodynamic modeling of two-lane traffic flow with timid and aggressive driving behavior , 2015 .

[11]  V. K. Katiyar,et al.  Phase transition of traffic states with on-ramp , 2006 .

[12]  D. Helbing.  Traffic and related self-driven many-particle systems , 2000, cond-mat/0012229.

[13]  Yu Cui,et al.  A modified control method for congested traffic in car-following model , 2015 .

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

[15]  Michael Schreckenberg,et al.  Influence of inter-vehicle communication on peak hour traffic flow , 2012 .

[16]  Li Lei,et al.  The influence of the non-motor vehicles for the car-following model considering traffic jerk☆ , 2016 .

[17]  Takashi Nagatani,et al.  Effect of velocity-dependent friction on multiple-vehicle collisions in traffic flow , 2017 .

[18]  S. Wong,et al.  Lane changing analysis for two-lane traffic flow , 2007 .

[19]  H. Ge,et al.  The car following model considering traffic jerk , 2015 .

[20]  Takashi Nagatani,et al.  Effect of headway and velocity on safety–collision transition induced by lane changing in traffic flow , 2012 .

[21]  Hongxia Ge,et al.  Multiple Information Feedback Control Scheme for an Improved Car-Following Model , 2017 .

[22]  Takashi Nagatani,et al.  Effect of signals on two-route traffic system with real-time information , 2012 .

[23]  Wei-Zhen Lu,et al.  A new lattice model with the consideration of the traffic interruption probability for two-lane traffic flow , 2015 .

[24]  T. Nagatani.  Stabilization and enhancement of traffic flow by the next-nearest-neighbor interaction. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[25]  Rongjun Cheng,et al.  A new car-following model with consideration of the velocity difference between the current speed and the historical speed of the leading car , 2016 .

[26]  Harold J Payne,et al.  MODELS OF FREEWAY TRAFFIC AND CONTROL. , 1971 .

[27]  S. Tsugawa,et al.  Inter-vehicle communications and their applications to intelligent vehicles: an overview , 2002, Intelligent Vehicle Symposium, 2002. IEEE.

[28]  Yunpeng Wang,et al.  An extended car-following model with consideration of the reliability of inter-vehicle communication , 2014 .

[29]  Du Jun,et al.  A compound compensation method for car-following model , 2016, Commun. Nonlinear Sci. Numer. Simul..

[30]  Poonam Redhu,et al.  Effect of forward looking sites on a multi-phase lattice hydrodynamic model , 2016 .

[31]  Tie-Qiao Tang,et al.  A new car-following model accounting for varying road condition , 2012 .

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

[33]  Guanghan Peng,et al.  Influence of the traffic interruption probability on traffic stability in lattice model for two-lane freeway , 2015 .

[34]  Rongjun Cheng,et al.  An extended macro traffic flow model accounting for multiple optimal velocity functions with different probabilities , 2017 .

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

[36]  A. Gupta,et al.  Analyses of the driver’s anticipation effect in a new lattice hydrodynamic traffic flow model with passing , 2014 .

[37]  Rongjun Cheng,et al.  The feedback control research on straight and curved road with car-following model , 2017 .

[38]  Francesco Paolo Deflorio,et al.  Assessing the effects of inter-vehicle communication systems on road safety , 2009 .

[39]  S.L. Klenov,et al.  Testbed for wireless vehicle communication: a simulation approach based on three-phase traffic theory , 2008, 2008 IEEE Intelligent Vehicles Symposium.

[40]  Yunpeng Wang,et al.  A new car-following model with consideration of inter-vehicle communication , 2014 .

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

[42]  Takashi Nagatani,et al.  Vehicular motion in counter traffic flow through a series of signals controlled by a phase shift , 2012 .

[43]  Arvind Kumar Gupta,et al.  Nonlinear analysis of traffic jams in an anisotropic continuum model , 2010 .

[44]  Rongjun Cheng,et al.  KdV–Burgers equation in a new continuum model based on full velocity difference model considering anticipation effect , 2017 .

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

[46]  Wen-Xing Zhu,et al.  An original traffic additional emission model and numerical simulation on a signalized road , 2017 .

[47]  Arvind Kumar Gupta,et al.  Analysis of the wave properties of a new two-lane continuum model with the coupling effect , 2012 .

[48]  Takashi Nagatani,et al.  Traffic states and jamming transitions induced by a bus in two-lane traffic flow , 2005 .

[49]  Takashi Nagatani,et al.  Multiple-vehicle collision in traffic flow by a sudden slowdown , 2013 .

[50]  Takashi Nagatani,et al.  Complex motion of a vehicle through a series of signals controlled by power-law phase , 2017 .

[51]  V. K. Katiyar,et al.  A new anisotropic continuum model for traffic flow , 2006 .

[52]  Takashi Nagatani,et al.  Spatio-temporal dynamics of jams in two-lane traffic flow with a blockage , 2003 .