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Chin. Phys. B, 2016, Vol. 25(6): 060506    DOI: 10.1088/1674-1056/25/6/060506
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Stability analysis of traffic flow with extended CACC control models

Ya-Zhou Zheng(郑亚周)1, Rong-Jun Cheng(程荣军)2,4, Siu-Ming Lo(卢兆明)3, Hong-Xia Ge(葛红霞)2,4
1 Faculty of Science, Ningbo University, Ningbo 315211, China;
2 Faculty of Maritime and Transportation, Ningbo University, Ningbo 315211, China;
3 Department of Civil and Architectural Engineering, City University of Hong Kong, Kowloon, China;
4 Jiangsu Key laboratory of Urban ITS, Southeast University, Nanjing 210096, China
Abstract  

To further investigate car-following behaviors in the cooperative adaptive cruise control (CACC) strategy, a comprehensive control system which can handle three traffic conditions to guarantee driving efficiency and safety is designed by using three CACC models. In this control system, some vital comprehensive information, such as multiple preceding cars' speed differences and headway, variable safety distance (VSD) and time-delay effect on the traffic current and the jamming transition have been investigated via analytical or numerical methods. Local and string stability criterion for the velocity control (VC) model and gap control (GC) model are derived via linear stability theory. Numerical simulations are conducted to study the performance of the simulated traffic flow. The simulation results show that the VC model and GC model can improve driving efficiency and suppress traffic congestion.

Keywords:  cooperative adaptive cruise control      stability condition      traffic flow      variable safety distance  
Received:  14 December 2015      Revised:  25 January 2016      Accepted manuscript online: 
PACS:  05.70.Fh (Phase transitions: general studies)  
  05.70.Jk (Critical point phenomena)  
Fund: 

Project supported by the National Natural Science Foundation of China (Grant Nos. 71571107 and 11302110). The Scientific Research Fund of Zhejiang Province, China (Grant Nos. LY15A020007, LY15E080013, and LY16G010003). The Natural Science Foundation of Ningbo City (Grant Nos. 2014A610030 and 2015A610299), the Fund from the Government of the Hong Kong Administrative Region, China (Grant No. CityU11209614), and the K C Wong Magna Fund in Ningbo University, China.

Corresponding Authors:  Hong-Xia Ge     E-mail:  gehongxia@nbu.edu.cn

Cite this article: 

Ya-Zhou Zheng(郑亚周), Rong-Jun Cheng(程荣军), Siu-Ming Lo(卢兆明), Hong-Xia Ge(葛红霞) Stability analysis of traffic flow with extended CACC control models 2016 Chin. Phys. B 25 060506

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