Stability and safety analysis on traffic flow mixed with ICV

doi:10.16265/j.cnki.issn1003-3033.2021.10.019

Abstract

Abstract: In order to reveal influence mechanism of ICV on traffic flow, firstly, considering degradation mechanism of ICV, its following mode and proportion in mixed traffic flow were analyzed. Then, different following modes were described by utilizing intelligent driver model (IDM) with different parameters, based on which criteria to determine stability of mixed traffic flow were derived. Finally, standard deviation coefficient of car speed, time-to-collision(TTC), exposed time-to-collision(TET) and integrated time-to-collision (TIT) were selected as safety evaluation indexes of the traffic flow, and numerical simulation experiments were conducted based on cellular automata. The results show that as penetration rate of ICV increases, dispersion degree of vehicle speed gradually decreases, so does the risk of rear collision. Therefore, application of ICV can significantly improve stability and safety of traffic flow.

Key words: intelligent connected vehicle (ICV), human driven vehicle (HDV), mixed traffic flow, car-following model, stability, safety

CLC Number:

X951
U492.8

YAO Zhihong, JIN Yuting, WANG Sichen, HU Lu, JIANG Yangsheng. Stability and safety analysis on traffic flow mixed with ICV[J]. China Safety Science Journal, 2021, 31(10): 136-143.

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