Stability Analysis of Traffic Flow for Automated Vehicles
QIN Yanyan1，WANG Hao2，HE Zhaoyi1，RAN Bin3
(1. School of Traffic and Transportation，Chongqing Jiaotong University，Chongqing 400074， China； 2. Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing 210096, Jiangsu, China; 3. Department of Civil and Environment Engineering, University of Wisconsin-Madison, Madison, WI 53706, USA)
Abstract：Traffic flow stability analysis is helpful to reveal the internal mechanism of the improvement of traffic operation efficiency. The car-following models of automated vehicles and manual-driven vehicles were used. Considering the randomness of vehicle space position, the numerical simulation experiment of mixed traffic flow stability under periodic boundary conditions was designed. The characteristics of vehicle speed fluctuation in mixed traffic flow under disturbance were analyzed, and the time of disturbance dissipation under different proportions of automated vehicle was calculated. Meanwhile, the influence of automated vehicles on fuel consumption of the mixed traffic flow was analyzed, based on traffic flow fuel consumption evaluation model. Research results show that the automated vehicles can effectively reduce the dissipation time of disturbance in mixed traffic flow, which is conducive to the improvement of the stability of mixed traffic flow. Moreover, compared with manual-driven vehicles, traffic flow with 100% proportion automated vehicles can reduce fuel consumption by more than 24.57%. The research results reveal that disturbance dissipation time is the intrinsic mechanism that the automated vehicle affects the stability.
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2020, Vol. 39 
