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Analysis on traffic stability and capacity for mixed traffic flow with platoons of intelligent connected vehicles

Beijing Engineering Research Center of Urban Transport Operation Guarantee, College of Metropolitan Transportation, Beijing
University of Technology, Beijing 100124, PR China

Abstract

普通车辆和智能网联车辆混合行驶

The results of the sensitivity analysis demonstrated that ICVs can improve the stability of the mixed traffic flow under a critical speed.

that the time headway between vehicles in a CACC platoon was 0.6 s, with 1.5 s between HDVs.

Stability analysis

{fvIDMi=−4amv3v04−2amTi[1−(v/v0)4]s0+vTifΔvIDMi=ambv[1−(v/v0)4]s0+vTifΔxIDMi=2am[1−(v/v0)4]1−(v/v0)4s0+vTi\left\{\begin{array}{l} f_{v}^{I D M i}=-\frac{4 a_{m} v^{3}}{v_{0}^{4}}-\frac{2 a_{m} T_i\left[1-\left(v / v_{0}\right)^{4}\right]}{s_{0}+v T_{i}} \\ f_{\Delta v}^{I D M i}=\sqrt{\frac{a_{m}}{b}} \frac{v\left[1-\left(v / v_{0}\right)^{4}\right]}{s_{0}+v T_{i}} \\ f_{\Delta x}^{I D M i}=2 a_{m} \frac{\left[1-\left(v / v_{0}\right)^{4}\right] \sqrt{1-\left(v / v_{0}\right)^{4}}}{s_{0}+v T_{i}} \end{array}\right.
FIDMi=((fvIDMi)22−fΔvIDMifvIDMi−fΔxIDMi)×(fΔxIDMi)2<0F^{I D M i}=\left(\frac{\left(f_{v}^{I D M i}\right)^{2}}{2}-f_{\Delta v}^{I D M i} f_{v}^{I D M i}-f_{\Delta x}^{I D M i}\right) \times\left(f_{\Delta x}^{I D M i}\right)^{2}<0