A car-following model for connected vehicles under the bidirectional-leader following topology

This study proposes a new car-following model to capture the characteristics of the connected vehicles (CVs) traffic stream under the bidirectional-leader following topology. To this end, the connection relationship between vehicles through vehicle-to-vehicle communication is described by a bidirectional-leader following topology. Then, the communication topology is characterized using the adjacent matrix. Consequently, a new car-following model is developed to capture the interactions between vehicles. In addition, the stability of the proposed model is analyzed using the perturbation method. Finally, numerical experiments are conducted. Results show that the stable region of the proposed model varies with the size of the traffic stream.

[1]  Gábor Orosz,et al.  Dynamics of connected vehicle systems with delayed acceleration feedback , 2014 .

[2]  Bin Yang,et al.  Extended-State-Observer-Based Double-Loop Integral Sliding-Mode Control of Electronic Throttle Valve , 2015, IEEE Transactions on Intelligent Transportation Systems.

[3]  Min Zhang,et al.  Modeling and simulation for microscopic traffic flow based on multiple headway, velocity and acceleration difference , 2011 .

[4]  Ziyou Gao,et al.  A new car-following model: full velocity and acceleration difference model , 2005 .

[5]  Dihua Sun,et al.  On the stability analysis of microscopic traffic car-following model: a case study , 2013 .

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

[7]  Tian Chuan Car-following model based on the information of multiple ahead & velocity difference , 2010 .

[8]  Dihua Sun,et al.  Microscopic car-following model for the traffic flow: the state of the art , 2012 .

[9]  Yongfu Li,et al.  Evaluating the energy consumption of electric vehicles based on car-following model under non-lane discipline , 2015 .

[10]  S. Ilgin Guler,et al.  Using connected vehicle technology to improve the efficiency of intersections , 2014 .

[11]  G. Zi-you,et al.  Multiple velocity difference model and its stability analysis , 2006 .

[12]  Sheng Jin,et al.  Non-lane-based full velocity difference car following model , 2010 .

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

[14]  Li Zhang,et al.  Non-lane-discipline-based car-following model considering the effect of visual angle , 2016 .

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

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

[17]  Li Zhang,et al.  A car-following model considering the effect of electronic throttle opening angle under connected environment , 2016 .

[18]  R. E. Wilson,et al.  Car-following models: fifty years of linear stability analysis – a mathematical perspective , 2011 .

[19]  B. V. K. Vijaya Kumar,et al.  Performance of the 802.11p Physical Layer in Vehicle-to-Vehicle Environments , 2012, IEEE Transactions on Vehicular Technology.

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

[21]  Subir Biswas,et al.  Vehicle-to-vehicle wireless communication protocols for enhancing highway traffic safety , 2006, IEEE Communications Magazine.