Clustered car-following strategy for improving car-following stability under Cooperative Vehicles Infrastructure Systems

In this study, the problem of car-following stability is considered. This study presents a clustered car-following strategy based on inter-vehicle communications (IVCs), which contributes to derive a more accurate feedback control for improving the stability. In order to maintain car-following stability, two conditions are considered, which are based on the control theory and a modified optimal velocity car-following model. In simulations, the results demonstrate that the strategy is effective on the stability of car-following, and the effect becomes more obvious as the market penetration rates of IVC-equipped vehicles increase. Even in low market penetration rate (5%), the proposed strategy has significant influence on the stability and the recovering time.

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

[2]  G. F. Newell.  Nonlinear Effects in the Dynamics of Car Following , 1961 .

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

[4]  K Konishi,et al.  Coupled map car-following model and its delayed-feedback control. , 1999, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[5]  M. Tlidi,et al.  Optical patterns with different wavelengths. , 2004, Physical review. E, Statistical, nonlinear, and soft matter physics.

[6]  Ziyou Gao,et al.  A control method for congested traffic induced by bottlenecks in the coupled map car-following model , 2006 .

[7]  Sooksan Panichpapiboon,et al.  Connectivity Requirements for Self-Organizing Traffic Information Systems , 2008, IEEE Transactions on Vehicular Technology.

[8]  Xu Gang,et al.  A traffic flow model considering signal light influence and its numerical simulation , 2008 .

[9]  Huang Hai-Jun,et al.  Effect of the lane changing probability on the kinetic energy of traffic system , 2010 .

[10]  Linda Ng Boyle,et al.  Drivers' Adaptation to Adaptive Cruise Control: Examination of Automatic and Manual Braking , 2012, IEEE Transactions on Intelligent Transportation Systems.

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

[12]  Siuming Lo,et al.  An improved car-following model considering influence of other factors on traffic jam , 2012 .

[13]  Martin Mauve,et al.  Reducing Traffic Jams via VANETs , 2012, IEEE Transactions on Vehicular Technology.

[14]  Siuming Lo,et al.  A modified coupled map car following model and its traffic congestion analysis , 2012 .

[15]  Martin Mauve,et al.  Merging lanes - fairness through communication , 2014, Veh. Commun..

[16]  Haris N. Koutsopoulos,et al.  Do cooperative systems make drivers' car-following behavior safer? , 2014 .

[17]  Hao Yang,et al.  A control theoretic formulation of green driving strategies based on inter-vehicle communications , 2014 .

[18]  Vicente Milanés Montero,et al.  Experimental Application of Hybrid Fractional-Order Adaptive Cruise Control at Low Speed , 2014, IEEE Transactions on Control Systems Technology.