Car-following Model of Connected and Autonomous Vehicles Considering Multiple Feedbacks

被引：0
|
作者：
Qin Y.-Y. [1 ,2 ,3 ,4 ]
Wang H. [1 ,3 ,4 ]
Ran B. [2 ,4 ]
机构：
[1] Jiangsu Key Laboratory of Urban ITS, Southeast University, Nanjing
[2] Department of Civil and Environment Engineering, University ofWisconsin-Madison, Madison
[3] Jiangsu Province Collaborative Innovation Center of Modern Urban Traffic Technologies, Southeast University, Nanjing
[4] School of Transportation, Southeast University, Nanjing
来源：
Wang, Hao (haowang@seu.edu.cn) | 2018年 / Science Press卷 / 18期
基金：
中国国家自然科学基金;
关键词：
Car-following model; Connected and autonomous vehicles; Stability analysis; Traffic engineering;
D O I：
10.16097/j.cnki.1009-6744.2018.03.008
中图分类号：
学科分类号：
摘要：
Based on the car- following characteristic of connected autonomous vehicles (CAV), the CAV carfollowing model is studied. By considering electronic throttle angle feedbacks from multiple preceding vehicles, this paper proposes CAV's car- following model. Then, stability analysis method is used to derive stability condition for the proposed model. Taking three- head vehicles into consideration, the numerical simulations are performed to study the safety of mixed traffic flow under different CAV rates. Stability analysis shows that the presented CAV model has better stability regions than the previous models (T-FVD model of CAV and FVD model of regular vehicles). In addition, the proposed CAV car-following model is more stable, with the increase of the number of preceding vehicles and the corresponding feedback weight coefficients. Moreover, the feedback weight coefficient of a preceding vehicle has greater effect on stability, if this vehicle is farther away. Besides, simulations indicate that CAV can reduce rear-end collision risks of traffic flow. Copyright © 2018 by Science Press.
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收藏
页码：48 / 54
页数：6
相关论文
共 21 条
  • [1] Qin Y.Y., Wang H., Wang W., Et al., Review of carfollowing models of adaptive cruise control, Journal of Traffic and Transportation Engineering, 17, 3, pp. 121-130, (2017)
  • [2] Qin Y.Y., Wang H., Wang W., Et al., Fundamental diagram model of heterogeneous traffic flow mixed with cooperative adaptive cruise control vehicles and adaptive cruise control vehicles, China Journal of Highway and Transport, 30, 10, pp. 127-136, (2017)
  • [3] Newell G.F., Nonlinear effects in the dynamics of car following, Operations Research, 9, 2, pp. 209-229, (1961)
  • [4] Bando M., Hasebe K., Nakayama A., Et al., Dynamical model of traffic congestion and numerical simulation, Physical Review E, 51, 2, pp. 1035-1042, (1995)
  • [5] Helbing D., Tilch B., Generalized force model of traffic dynamics, Physical Review E, 58, 1, pp. 133-138, (1998)
  • [6] Jiang R., Wu Q., Zhu Z., Full velocity difference model for a car-following theory, Physical Review E, 64, 1, (2001)
  • [7] Tang T.Q., Zhang J., Chen L., Et al., Analysis of vehicle's safety envelope under car-following model, Physica A: Statistical Mechanics and its Applications, 474, pp. 127-133, (2017)
  • [8] Yu S., Shi Z., The effects of vehicular gap changes with memory on traffic flow in cooperative adaptive cruise control strategy, Physica A: Statistical Mechanics and its Applications, 428, pp. 206-223, (2015)
  • [9] Tang Y., Study on the car following model and its smoothness control based on the information of preceding and following vehicles, (2014)
  • [10] Yu G., Wang P., Wu X., Et al., Linear and nonlinear stability analysis of a car-following model considering velocity difference of two adjacent lanes, Nonlinear Dynamics, 84, 1, pp. 387-397, (2016)
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