Car-following Model of Connected Cruise Control Vehicles to Mitigate Traffic Oscillations

With the aim of mitigating traffic oscillations, this paper extends a car-following model for Connected Cruise Control (CCC) systems by considering electronic throttle angles of multiple cars ahead. The linear stability condition of the proposed model is derived and numerical simulations are performed. It has been found that the proposed model is prominently better than the previous model, i.e. full velocity difference model, from the perspective of mitigating traffic oscillations. Additionally, the proposed model can also reduce fuel consumption, emissions, i.e. CO, HC and NOX, safety risk, and improve driving comfort at the same time. Simulation results suggest that the CCC car-following control design should consider the effect of multiple electronic throttle angles from the preceding cars.

[1]  Martin Treiber,et al.  INFLUENCE OF REACTION TIMES AND ANTICIPATION ON THE STABILITY OF VEHICULAR TRAFFIC FLOW , 2006 .

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

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

[4]  Hai-Jun Huang,et al.  A new car-following model with the consideration of the driver's forecast effect , 2010 .

[5]  Lili Du,et al.  Constrained optimization and distributed computation based car following control of a connected and autonomous vehicle platoon , 2016 .

[6]  Hesham Rakha,et al.  ESTIMATING VEHICLE FUEL CONSUMPTION AND EMISSIONS BASED ON INSTANTANEOUS SPEED AND ACCELERATION LEVELS , 2002 .

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

[8]  Kun Li,et al.  Modeling of traffic flow of automated vehicles , 2004, IEEE Transactions on Intelligent Transportation Systems.

[9]  Qiang Meng,et al.  Evaluation of rear-end crash risk at work zone using work zone traffic data. , 2011, Accident; analysis and prevention.

[10]  Martin Treiber,et al.  Traffic Flow Dynamics: Data, Models and Simulation , 2012 .

[11]  Helbing,et al.  Congested traffic states in empirical observations and microscopic simulations , 2000, Physical review. E, Statistical physics, plasmas, fluids, and related interdisciplinary topics.

[12]  Xiao-Yun Lu,et al.  COOPERATIVE ADAPTIVE CRUISE CONTROL (CACC) DEFINITIONS AND OPERATING CONCEPTS , 2015 .

[13]  L. A. Pipes.  An Operational Analysis of Traffic Dynamics , 1953 .

[14]  Hao Wang,et al.  General Newell Model and Related Second-Order Expressions , 2011 .

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

[16]  Hao Wang,et al.  Analytical framework of string stability of connected and autonomous platoons with electronic throttle angle feedback , 2018 .

[17]  Xiaopeng Li,et al.  Stop-and-go traffic analysis: Theoretical properties, environmental impacts and oscillation mitigation , 2014 .

[18]  M. Griffin,et al.  EVALUATION OF WHOLE-BODY VIBRATION IN VEHICLES , 2002 .

[19]  Hao Wang,et al.  Optimal velocity model with dual boundary optimal velocity function , 2015 .

[20]  Urbano Nunes,et al.  Multiplatooning Leaders Positioning and Cooperative Behavior Algorithms of Communicant Automated Vehicles for High Traffic Capacity , 2015, IEEE Transactions on Intelligent Transportation Systems.

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

[22]  Markos Papageorgiou,et al.  On Microscopic Modelling of Adaptive Cruise Control Systems , 2015 .

[23]  Hani S. Mahmassani,et al.  50th Anniversary Invited Article - Autonomous Vehicles and Connected Vehicle Systems: Flow and Operations Considerations , 2016, Transp. Sci..

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

[25]  Petros A. Ioannou,et al.  Throttle and Brake Control Systems for Automatic Vehicle following , 1994, J. Intell. Transp. Syst..

[26]  R. E. Wilson,et al.  Mechanisms for spatio-temporal pattern formation in highway traffic models , 2008, Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences.