Stability analysis of mixed traffic flow in connected and autonomous environment

被引：0
|
作者：
Qin Y. [1 ]
Hu X. [1 ]
Li S. [1 ]
He Z. [1 ]
Xu M. [2 ]
机构：
[1] School of Traffic and Transportation, Chongqing Jiaotong University, Chongqing
[2] School of Civil Engineering, Zhengzhou University, Zhengzhou
来源：
Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology | 2021年 / 53卷 / 03期
关键词：
Car-following model; Connected and autonomous vehicles; Numerical simulation; Stability analysis; Traffic flow;
D O I：
10.11918/201907172
中图分类号：
学科分类号：
摘要：
To analyze the stability of traffic flow mixed with manned vehicles as well as connected and autonomous vehicles (CAV), a theory analysis method was proposed. The car-following models were linearized by using Taylor formula. The transfer function theory was used to derive the stability criterion of mixed traffic flow with different CAV proportions. Meanwhile, parametric sensitivity analysis was conducted on acceleration feedback coefficient of CAV. Considering the propagation characteristics of small disturbances under open boundary conditions, numerical simulation experiments on the stability of mixed traffic flow were designed. Research results show that the unstable speed range of CAV was within the unstable speed range of manned vehicles. The increase of CAV proportion was helpful to transform the traffic flow from unstable state to stable state. The larger the acceleration feedback coefficient of CAV was, the larger the stability regions of the mixed traffic flow with respect to CAV proportion and equilibrium speed would be. When the CAV proportion increased to 23%, the mixed traffic flow was stable within full equilibrium speeds. The research findings can theoretically calculate stability regions of CAV mixed traffic flow, and can provide evidence for analyzing stability of mixed traffic flow from the perspectives of CAV proportions and equilibrium speeds. Copyright ©2021 Journal of Harbin Institute of Technology.All rights reserved.
引用
收藏
页码：152 / 157
页数：5
相关论文
共 15 条
  • [1] QIN Yanyan, WANG Hao, WANG Wei, Et al., Review of car-following models of adaptive cruise control, Journal of Traffic and Transportation Engineering, 17, 3, (2017)
  • [2] MAHMASSANI H S., 50th anniversary invited article—autonomous vehicles and connected vehicle systems: flow and operations considerations, Transportation Science, 50, 4, (2016)
  • [3] MILANES V, SHLADOVER S E, SPRING J, Et al., Cooperative adaptive cruise control in real traffic situations, IEEE Transactions on Intelligent Transportation Systems, 15, 1, (2014)
  • [4] MILANES V, SHLADOVER S E., Modeling cooperative and autonomous adaptive cruise control dynamic responses using experimental data, Transportation Research Part C: Emerging Technologies, 48, (2014)
  • [5] CHEN D, AHN S, CHITTURI M, Et al., Truck platooning on uphill grades under cooperative adaptive cruise control (CACC), Transportation Research Part C: Emerging Technologies, 94, (2018)
  • [6] SAU J, MONTEIL J, BILLOT R, Et al., The root locus method: application to linear stability analysis and design of cooperative car-following models, Transportmetrica B: Transport Dynamics, 2, 1, (2014)
  • [7] WARD J A., Heterogeneity, lane-changing and instability in traffic: a mathematical approach, (2009)
  • [8] TALEBPOUR A, MAHMASSANI H S., Influence of connected and autonomous vehicles on traffic flow stability and throughput, Transportation Research Part C: Emerging Technologies, 71, (2016)
  • [9] QIN Yanyan, ZHANG Jian, CHEN Lingzhi, Et al., Cell transportation model of mixed traffic flow of manual-automated driving, Journal of Traffic and Transportation Engineering, 20, 2, (2020)
  • [10] WANG H, QIN Y, WANG W, Et al., Stability of CACC-manual heterogeneous vehicular flow with partial CACC performance degrading, Transportmetrica B: Transport Dynamics, 7, 1, (2019)
12