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

  • Yanyan Qin Chongqing Jiaotong University
  • Hao Wang Southeast University
  • Quan Chen Southeast University
  • Bin Ran University of Wisconsin–Madison
Keywords: car-following model, connected cruise control, traffic oscillations, fuel consumption and emissions, safety risk, driving comfort

Abstract

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.

Author Biographies

Yanyan Qin, Chongqing Jiaotong University

PhD, School of Traffic and Transportation, Chongqing Jiaotong University, Chongqing, China

 

Hao Wang, Southeast University

Professor, School of Transportation, Southeast University, Nanjing, China

 

Quan Chen, Southeast University

PhD Candidate, School of Transportation, Southeast University, Nanjing, China

Bin Ran, University of Wisconsin–Madison

Professor, Department of Civil and Environment Engineering, University of Wisconsin–Madison, Madison, USA

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Published
2019-11-14
How to Cite
1.
Qin Y, Wang H, Chen Q, Ran B. Car-following Model of Connected Cruise Control Vehicles to Mitigate Traffic Oscillations. PROMET [Internet]. 2019Nov.14 [cited 2019Dec.11];31(6):603-10. Available from: http://traffic.fpz.hr/index.php/PROMTT/article/view/2974